<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.23457.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Cooking with biomass fuel and cardiovascular disease: a cross-sectional study among rural villagers in Phitsanulok, Thailand</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved, 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Juntarawijit</surname>
                        <given-names>Chudchawal</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0321-5325</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Juntarawijit</surname>
                        <given-names>Yuwayong</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Natural Resources and Environment, Faculty of Agriculture, Natural Resources, and Environment, Naresuan University, Phitsanulok, 65000, Thailand</aff>
                <aff id="a2">
                    <label>2</label>Faculty of Nursing, Naresuan University, Phitsanulok, 65000, Thailand</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:cjuntara@gmail.com">cjuntara@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>29</day>
                <month>4</month>
                <year>2020</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2020</year>
            </pub-date>
            <volume>9</volume>
            <elocation-id>307</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>23</day>
                    <month>4</month>
                    <year>2020</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2020 Juntarawijit C and Juntarawijit Y</copyright-statement>
                <copyright-year>2020</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/9-307/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Burning biomass fuel is a major source of indoor air pollution; about 40% of Thai people still use biomass for cooking. There is increasing evidence of the association between biomass smoke exposure and serious health effects including cardiovascular disease. The object of this cross-sectional study was to investigate the association between biomass use for household cooking and cardiovascular outcome, including coronary heart disease, hypertension, high cholesterol, diabetes mellitus, and stroke among rural villagers in Phitsanulok, Thailand.</p>
                <p>
                    <bold>Methods:</bold> Data from 1078 households were collected using a face-to-face interview questionnaire.</p>
                <p>
                    <bold>Results:</bold> After being adjusted for gender, age, cigarette smoke, secondhand smoke, and exposure to other sources of air pollution, it was found that the family members of cooks using biomass fuel were at risk of coronary heart disease (CHD; OR=4.35; 95%CI 0.10&#x2013;18.97), high blood pressure (HBP; OR=1.61; 95%CI 1.10&#x2013;2.35), high cholesterol (HC; OR=2.74; 95%CI 1.66&#x2013;4.53), and diabetes (OR= 1.88; 95%CI 1.03&#x2013;3.46). Compared to LPG use, using wood was associated with stroke (OR=7.64; 95%CI 1.18&#x2013;49.61), and using charcoal was associated with HC (OR=1.52; 95%CI 1.04&#x2013;2.24). Compared to never user, household cooks who sometimes use charcoal had an increased risk of HBP (OR=2.04; 95%CI 1.32&#x2013;3.15), HC (OR=2.61; 95%CI 1.63&#x2013;4.18), and diabetes (OR=2.09; 95%CI 1.17&#x2013;3.73); and cooks who often use charcoal had an elevated risk of stroke (OR=3.17; 95%CI 1.04&#x2013;9.71), and HC (OR=1.52; 95%CI 1.02&#x2013;2.27) to their family members.</p>
                <p>
                    <bold>Conclusions:</bold> The study results were consistent with those found in studies from other parts of the world, and supports that exposure to biomass smoke increase cardiovascular diseases. The issue should receive more attention, and promotion of clean fuel use is a prominent action.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Biomass fuel</kwd>
                <kwd>cardiovascular diseases</kwd>
                <kwd>household air pollution</kwd>
                <kwd>kitchen smoke</kwd>
                <kwd>cooking fume</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="http://dx.doi.org/10.13039/501100004944">
                    <funding-source>Naresuan University</funding-source>
                    <award-id>R2560C118</award-id>
                </award-group>
                <funding-statement>This study was supported by Naresuan University, grant No. R2560C118.</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>Cooking smoke is a major source of household air pollution, which affects billions of people around the world, especially in developing countries. Globally, nearly 3 billion people still use solid fuels (wood, charcoal, crop residues, and dung) for cooking and heating
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>. Smoke from wood burning contains a large number of pollutants, including particulate matter, carbon monoxide, nitrogen dioxide, formaldehyde, and a number of highly toxic organic compounds, such as benzene, 1, 3 butadiene, benzo[a]pyrene and other toxic polycyclic aromatic hydrocarbons
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>.</p>
            <p>The use of solid fuel for cooking and/or household energy sources increases respiratory and non-respiratory illnesses in both adults and children. Those effects that are well established are acute respiratory infections, chronic obstructive pulmonary disease (COPD), lung cancer, asthma, tuberculosis, and cataracts
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>,
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup>. In children, biomass use is related to mortality, and acute lower respiratory tract infections, and some other non-respiratory illness, such as poor lung function, low birthweight, nutritional deficiency, and impairment of learning ability
                <sup>
                    <xref ref-type="bibr" rid="ref-5">5</xref>,
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>.</p>
            <p>Though with limited evidence, recent studies linked biomass smoke exposure and cardiovascular diseases (CVD), e.g. coronary heart disease (CHD), hypertension or high blood pressure (HBP), diabetes, and stroke
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-10">10</xref>
                </sup>. In laboratory studies, chronic exposure to biomass smoke increased the thickness and plaque of blood vessels
                <sup>
                    <xref ref-type="bibr" rid="ref-11">11</xref>
                </sup>. In epidemiological studies, Peruvians who live in high altitude environments and use biomass fuel had an elevated prevalence of HBP
                <sup>
                    <xref ref-type="bibr" rid="ref-12">12</xref>
                </sup>. A study among villager women in Bangladesh reported an association between elevated cumulative exposure to biomass smoke and the prevalence of HBP
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>
                </sup>. A similar result was found in a study in Shanghai Putuo, which found using solid fuel increases the risk of HBP, CHD, and diabetes
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>
                </sup>; and a study in Shanxi, China reported an increased risk of HBP, CHD, stroke, diabetes, and dyslipidemia
                <sup>
                    <xref ref-type="bibr" rid="ref-15">15</xref>
                </sup> A recent study by Yu 
                <italic toggle="yes">et al</italic>.
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup> also linked solid fuel use to cardiovascular mortality.</p>
            <p>On a global scale, CVD is the number one cause of death and is responsible for about 18 million deaths annually
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>. In Thailand, CVD accounts for 23% of the national mortality
                <sup>
                    <xref ref-type="bibr" rid="ref-18">18</xref>
                </sup>. Currently, there is no study on the effect of biomass smoke on CVD in Thailand. It was reported that about 40% of Thai households still use biomass, mainly charcoal, wood, and agriculture residue, for cooking
                <sup>
                    <xref ref-type="bibr" rid="ref-19">19</xref>
                </sup>. The objective of this study is to investigate a possible association between biomass use for cooking and cardiovascular diseases, including CHD, HBP, HC, diabetes, and stroke. The study uses data from a cross-sectional survey among rural villagers in Phitsanulok, Thailand. The result could be used for disease prevention and control, and to support the global literature.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Study design and setting</title>
                <p>This is cross-sectional study. Participants are rural villagers living in Phitsanulok Province, Thailand. Phitsanulok is a midsize province located about 400 km north of Bangkok. There are 866,891 people in the area of 9 districts. Most of the people are rice farmers
                    <sup>
                        <xref ref-type="bibr" rid="ref-20">20</xref>
                    </sup>.</p>
            </sec>
            <sec>
                <title>Study participants and sampling procedure</title>
                <p>Participants were randomly selected using multistage sampling. Out of the 9 districts in Phitsanulok province, 5 were randomly selected. In each district, one sub-district and a local health-promoting hospital were approached. In each sub-district with support from the local health-promoting hospital, a total of 1,150 households were approached and 1,134 (98.6%) people agreed to participate in the study. In each household, only one participant who was responsible for household cooking and aged over 20 years was selected. After data cleanup, 56 (4.9%) items of data were missing important information, such as age, gender, cooking practice. The final data from 1,078 people were used for statistical analysis.</p>
                <p>The minimum sample size was calculated to be 1,034, using unmatched cross-sectional study with the following assumptions: two-sided significance level = 95%; power of detection = 80%; percent unexposed with outcome = 5%; and odds ratio = 2.0.</p>
            </sec>
            <sec>
                <title>Study questionnaire</title>
                <p>Data was collected using a face-to-face interview questionnaire, which was administered by 15 village health volunteers (provided as 
                    <italic toggle="yes">Extended data</italic> in English
                    <sup>
                        <xref ref-type="bibr" rid="ref-21">21</xref>
                    </sup>). The interviews took place in the house of participants. The data was collected during the period of May&#x2013;June 2017. Health volunteers were all trained on how to properly carry out the interview and use the questionnaire. The questionnaire was designed to collect information on demographic data, fuel use for cooking, and other cooking practices. In addition to general demographic data, participants were also asked a history of tobacco use (ever, never), and working in factory environments using &#x201c;yes&#x201d; or &#x201c;no&#x201d; questions. Ever smoker referred to those who smoke more than 100 cigarettes in their lifetime. Data on pesticide use was also measured by &#x201c;yes&#x201d; or &#x201c;no&#x201d; questions: &#x201c;Have you ever spray or mix pesticide?&#x201d;. For cooking fuel data, we asked about the types of fuel they used for cooking food (wood, charcoal, LPG, electricity), and the frequency of using each types of fuel. Data collected on cooking practices were types of cooking oil, the frequency of tears while cooking (TWC) (never, sometimes, often), kitchen location (inside a house, outside a house, both inside and outside a house), and the characteristics of kitchen ventilation (good or poor ventilation).</p>
                <p>The presence of cardiovascular disease was determined by the participant response to the question: &#x201c;Have you ever been diagnosed with the following diseases (coronary heart disease (CHD), high blood pressure (HBP), high cholesterol (HC), diabetes mellitus, stroke) by a medical doctor?&#x201d;. For diseases among their family members, we asked &#x201c;Did you have a family member with the following diseases?&#x201d;.</p>
                <p>The content validity of the questions was tested by three experts, and the Index of Item Objective Congruence (IOC) was between 0.7&#x2013;1.0. The questionnaire was also tested for question sequencing and understanding using a group of 30 people with a similar background to the intended participants.</p>
            </sec>
            <sec>
                <title>Statistical analysis</title>
                <p>Demographic and prevalence of cardiovascular disease were descriptively analyzed. Comparison between groups were analyzed using chi-square test for categorical variables, and independent t-test for continuous variables. The association between cardiovascular disease was analyzed using logistic regression with odds ratios (OR) and 95 percent confidence interval (CI) adjusted for gender (male, female), age (continuous data), cigarette smoking (ever, never), living smoker (yes, no), working with smokers (yes, no), and exposure to air pollution (yes, no). All statistical analyses were performed using IBM SPSS version 19 and OpenEpi (online version 3.01). Statistical significance was set at a p-value of less than 0.05.</p>
            </sec>
            <sec>
                <title>Ethical considerations</title>
                <p>The study was approved by the Ethical Committee of Naresuan University (COA No. 485/2016), and written informed consent from the respondents was obtained before the interviews were conducted.</p>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <p>Most of the respondents were women (84.2%) with a mean age of 53.04 &#x00b1; 12.93 yr. The highest education levels were primary school or high school. Most were farmers (36.0%) and 20.2% were causal workers on farms. About 10% were smokers and 33% lived with a smoker. Additional information on the demographic data is shown in 
                <xref ref-type="table" rid="T1">Table 1</xref> and in 
                <italic toggle="yes">Underlying data</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-22">22</xref>
                </sup>.</p>
            <table-wrap id="T1" orientation="portrait" position="anchor">
                <label>Table 1. </label>
                <caption>
                    <title>Demographic data.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Characteristics (N=1078)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">N (%)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Gender</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">170 (15.8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">908 (84.2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Age (yr.)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">20&#x2013;30</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">67 (6.2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">31&#x2013;40</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">136 (12.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">41&#x2013;50</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">205 (19.0)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">51&#x2013;60</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">343 (31.8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">61&#x2013;70</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">258 (23.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">71&#x2013;80</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">69 (6.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Mean = 53.04 &#x00b1; 12.93 (Age range 20&#x2013;80 yr.)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Education completed</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Primary school</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">757 (71.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Secondary school</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">246 (23.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">College diploma</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">50 (4.8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Missing</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25 (2.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Occupation</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Farmer</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">388 (36.0)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Grocer</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">89 (8.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Private or government employee</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">57 (5.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Causal worker</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">218 (20.2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Housewife</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">223 (20.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Other/unemployed</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">103 (9.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Cigarette smoking</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Ever smoke</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">111 (10.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Never smoke</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">967 (89.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Living with smokers</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">362 (33.8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">710 (66.2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Missing</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6 (0.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Working with smokers</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">172 (16.1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">895 (83.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Working in a factory</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">175 (16.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">894 (83.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Missing</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9 (0.8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Spray or mix pesticides</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">425 (39.5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">651 (60.5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Missing</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4 (0.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Fuel use for cooking</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Wood</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27 (2.5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Charcoal</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">348 (32.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">LPG</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">695 (64.5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Electricity</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8 (0.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Frequency of using charcoal</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Never</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">495 (46.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">1&#x2013;2 times per week</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">160 (15.0)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">3 times per week or more</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">411 (38.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Kitchen location</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Inside a house</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">570 (53.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Both inside and outside</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">134 (12.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Outside a house</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">363 (34.0)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Tears while cooking</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Often</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">49 (4.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Sometimes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">537 (50.8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Never</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">472 (44.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Missing</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">20 (1.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Cooking frequency</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Everyday</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">984 (91.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Somedays</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">94 (8.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Using charcoal duration (year)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Not use</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">502 (46.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">1&#x2013;20</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">146 (13.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">21 or more</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">429 (39.8)</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>About 70% of the respondents reported using biomass for cooking (
                <xref ref-type="table" rid="T2">Table 2</xref>). However, when asked for fuel types that they usually use for cooking, 64.5% reported LPG and 32.3% charcoal. Among those who use charcoal, 38.6% use it often. About half have a kitchen located inside a house with good ventilation. Almost all reported having TWC either sometimes or often. Most of them cook every day.</p>
            <table-wrap id="T2" orientation="portrait" position="anchor">
                <label>Table 2. </label>
                <caption>
                    <title>Demographic data among biomass and LPG users.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Characteristics</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Biomass, n (%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">LPG, n (%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">P&#x2013;value
                                <xref ref-type="other" rid="TFN1">*</xref>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Gender</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">114 (15.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">56 (17.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.341</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">642 (84.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">266 (82.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Age</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">20&#x2013;30</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">34 (4.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">33 (10.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001
                                <xref ref-type="other" rid="TFN2">**</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">31&#x2013;40</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">89 (11.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">47 (14.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">41&#x2013;50</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">132 (17.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">73 (22.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">51&#x2013;60</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">249 (32.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">94 (29.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">61&#x2013;70</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">204 (27.0)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">54 (16.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">71&#x2013;80</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">48 (6.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">21 (6.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Education</bold>
                                <break/>
                                <bold>completed</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001
                                <xref ref-type="other" rid="TFN2">**</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Primary school</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">569 (76.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">188 (60.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Secondary school</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">142 (19.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">104 (33.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">College diploma or
                                <break/>higher</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29 (3.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">21 (6.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Missing</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16 (2.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9 (2.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Occupation</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001
                                <xref ref-type="other" rid="TFN2">**</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Farmer</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">299 (39.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">89 (27.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Grocer</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">54 (7.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">35 (10.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Private or
                                <break/>government
                                <break/>employee</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36 (4.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">21 (6.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Causal worker</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">130 (17.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">88 (27.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Housewife</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">161 (21.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">62 (19.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">other</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">76 (10.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27 (8.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Cigarette smoking</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.490</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Ever smoke</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">81 (10.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30 (9.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Never smoke</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">675 (89.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">292 (90.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Living with smokers</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.475</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">259 (34.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">103 (32.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">493 (65.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">217 (67.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Missing</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4 (0.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2 (0.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Working with</bold>
                                <break/>
                                <bold>smokers</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>0.054</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">131 (17.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">41 (12.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">616 (82.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">279 (87.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Missing</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9 (1.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2 (0.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Working in a factory</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>0.077</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">113 (15.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">62 (19.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">637 (84.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">257 (80.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Missing</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6 (0.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3 (0.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Using pesticides</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>0.001</bold>
                                <xref ref-type="other" rid="TFN2">**</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">321 (42.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">104 (32.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">433 (57.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">218 (67.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Missing</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2 (0.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Kitchen location</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>&lt;0.001</bold>
                                <xref ref-type="other" rid="TFN2">**</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Inside a house</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">364 (48.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">206 (64.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Both inside and
                                <break/>outside</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">109 (14.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25 (7.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Outside a house</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">276 (36.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">87 (27.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Kitchen ventilation</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.580</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Good</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">504 (96.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">247 (97.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Poor</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16 (3.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6 (2.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Cooking frequency</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.035
                                <xref ref-type="other" rid="TFN2">**</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Everyday</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">699 (92.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">285 (88.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Someday</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">57 (7.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">37 (11.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn>
                        <p id="TFN1">* P&#x2013;value of chi square test for difference between biomass user and not use group, 2&#x2013;trail</p>
                        <p id="TFN2">** Significantly difference, p &lt;0.05</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <p>The study found HBP, HC, and diabetes to be the most common cardiovascular outcomes (
                <xref ref-type="table" rid="T3">Table 3</xref>). Compared to non-user group, biomass users had a significantly higher prevalence of HBP, and HC, and their family members also had more incidence of HBP, HC, diabetes, and heart disease.</p>
            <table-wrap id="T3" orientation="portrait" position="anchor">
                <label>Table 3. </label>
                <caption>
                    <title>Prevalence of cardiovascular diseases among biomass and LPG users.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Disease</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Biomass, n/total n (%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">LPG, n/total n (%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">p&#x2013;value
                                <xref ref-type="other" rid="TFN5">*</xref>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">High blood pressure, HBP(R)
                                <sup>
                                    <xref ref-type="other" rid="TFN3">a</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">214/750 (28.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">66/321 (20.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.007
                                <xref ref-type="other" rid="TFN6">**</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">High blood pressure, HBP(F)
                                <sup>
                                    <xref ref-type="other" rid="TFN4">b</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">152/729 (21.0)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">44/305 (14.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.014
                                <xref ref-type="other" rid="TFN6">**</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">High cholesterol, HC(R)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">166/748 (22.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">48/320 (15.0)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.007
                                <xref ref-type="other" rid="TFN6">**</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">High cholesterol, HC(F)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">120/729 (16.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">21/305 (6.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001
                                <xref ref-type="other" rid="TFN6">**</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Diabetes(R)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">91/751 (12.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30/321 (9.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.189</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Diabetes (F)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">62/729 (8.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14/305 (4.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.028
                                <xref ref-type="other" rid="TFN6">**</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Coronary heart disease, CHD(R)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">20/749 (2.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6/321 (1.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.521</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Coronary heart disease, CHD(F)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">20/728 (2.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2/304 (0.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.034
                                <xref ref-type="other" rid="TFN6">**</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Stroke(R)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10/750 (1.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3/321 (0.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.585</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Stroke (F)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16/729 (2.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3/305 (1.0)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.186</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn>
                        <p id="TFN3">
                            <sup>a</sup> disease of respondent (R)</p>
                        <p id="TFN4">
                            <sup>b</sup> disease of respondent&#x2019;s family member (F)</p>
                        <p id="TFN5">* P&#x2013;value of chi square test for difference between diseases prevalence among biomass use and LPG use</p>
                        <p id="TFN6">** Significant at P &lt; 0.05, 2&#x2013;tail</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <p>Further analysis using logistic regression and control variables, revealed that compared to gas users, biomass users had family members with elevated CHD, HBP, HC, and diabetes (
                <xref ref-type="table" rid="T4">Table 4</xref>). Among different types of fuel, household cooks using wood had a significant elevated risk of CHD (OR=7.64, 95%CI 1.18-49.61), and their family members had an elevated risk of HC (OR=1.52, 95%CI 1.04-2.24). Comparing frequency of charcoal use, those who use charcoal sometimes or often are more likely to have CHD, HBP, HC, and diabetes as compared to those who never use charcoal. The family members of charcoal users also had a significant increase of HC and stroke. When using TWC as an indicator for smoke exposure, it was found that those who always had TWC had significantly increased risk of stroke (OR=2.16; 95%CI 1.08-4.32), and those with sometimes TWC had a CHD risk (OR=2.64; 95%CI 1.02-6.81). Regarding kitchen location, the family members of cooks having kitchens both inside and outside a house had an elevated risk of stroke (OR=4.60; 95%CI 1.14-18.54).</p>
            <table-wrap id="T4" orientation="portrait" position="anchor">
                <label>Table 4. </label>
                <caption>
                    <title>Association (OR)
                        <xref ref-type="other" rid="TFN7">*</xref> between biomass use and cardiovascular outcomes.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="middle"/>
                            <th align="left" colspan="1" rowspan="1" valign="middle">HBP(R)</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">HBP(F)</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">HC(R)</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">HC(F)</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Diabetes(R)</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Diabetes(F)</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">CHD(R)</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">CHD(F)</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Stroke(R)</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Stroke (F)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="11" rowspan="1" valign="middle">
                                <bold>Biomass use</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.27 (0.91&#x2013;1.77)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>1.61 (1.10&#x2013;2.35)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.28 (0.88&#x2013;1.86)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.74 (1.66&#x2013;4.53)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.08 (0.69&#x2013;1.70)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>1.88 (1.03&#x2013;3.46)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.18 (0.46&#x2013;3.02)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.35 (0.10&#x2013;18.97</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.27 (0.33&#x2013;4.87)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.45 (0.97&#x2013;20.56)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Fuel type</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Wood</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.11 (0.45&#x2013;2.74)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.93 (0.77&#x2013;4.85)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.31 (0.51&#x2013;3.36)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.45 (0.47&#x2013;4.41)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.58 (0.13&#x2013;2.59)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.11 (0.59&#x2013;7.48)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.63 (0.19&#x2013;13.66)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>7.64 (1.18&#x2013;49.61)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.72 (0.27&#x2013;1.96)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Charcoal</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.79 (0.57&#x2013;1.09)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.22 (0.86&#x2013;1.72)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.89 (0.63&#x2013;1.26)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>1.52 (1.04&#x2013;2.24)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.97 (0.63&#x2013;1.48)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.47 (0.89&#x2013;2.43)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.14 (0.49&#x2013;2.65)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.54 (0.64&#x2013;3.73))</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.03 (0.58&#x2013;7.09)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.93 (0.68&#x2013;1.26)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">LPG/Electric</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="11" rowspan="1" valign="middle">
                                <bold>Charcoal use</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Often</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.10 (0.79&#x2013;1.52)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.10 (0.77&#x2013;1.57)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.30 (0.90&#x2013;1.87)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>1.52 (1.02&#x2013;2.27)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.44 (0.92&#x2013;2.26)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.56 (0.94&#x2013;2.61)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.33 (0.51&#x2013;3.48)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.37 (0.52&#x2013;3.63)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.66 (0.44&#x2013;6.29)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>3.17 (1.04&#x2013;9.71)</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Sometimes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.04 (1.32&#x2013;3.15)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.28 (0.80&#x2013;2.04)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.61 (1.63&#x2013;4.18</bold>)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.11(0.63&#x2013;1.96)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.09 (1.17&#x2013;3.73)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.69 (0.29&#x2013;1.61)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>4.11 (1.40&#x2013;12.11)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.50 (0.44&#x2013;5.18)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.76 (0.56&#x2013;13.50)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.59 (0.07&#x2013;5.21)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Never</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="11" rowspan="1" valign="middle">
                                <bold>Tears while cooking</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Often</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.84 (0.41&#x2013;1.73)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.71 (0.31&#x2013;1.65)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.56 (0.23&#x2013;1.35)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.76 (0.29&#x2013;2.01)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.93 (0.34&#x2013;2.55)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.23 (0.03&#x2013;1.75)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.45 (0.66&#x2013;17.94)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.07 (0.13&#x2013;8.78)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.16 (1.08&#x2013;4.32)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.80 (0.96&#x2013;3.35)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Sometimes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.82 (0.61&#x2013;1.11)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.96 (0.69&#x2013;1.34)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.92 (0.66&#x2013;1.28)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.02 (0.70&#x2013;1.49)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.17 (0.78&#x2013;1.77)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.80 (0.49&#x2013;1.29)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.64 (1.02&#x2013;6.81)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.13 (0.47&#x2013;2.73)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.98 (0.69&#x2013;1.41)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.04 (0.78&#x2013;1.40)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rarely</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="11" rowspan="1" valign="middle">
                                <bold>Kitchen location</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Inside</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.80 (0.58&#x2013;1.11)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.94 (0.67&#x2013;1.34)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.11 (0.78&#x2013;1.58)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.07 (0.72&#x2013;1.60)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.83 (0.54&#x2013;1.27)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.71 (0.42&#x2013;1.18)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.14 (0.77&#x2013;5.92)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.11 (0.75&#x2013;5.93)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.89 (0.45&#x2013;7.89)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.87 (0.55&#x2013;6.33)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Both</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.00 (0.61&#x2013;1.64)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.08 (0.64&#x2013;1.83)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.85 (0.48&#x2013;1.51)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.84 (0.44&#x2013;1.61)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.17 (0.62&#x2013;2.20)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.76 (0.35&#x2013;1.65)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.96 (0.45&#x2013;8.55)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.50 (0.06&#x2013;4.36)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.62 (0.81&#x2013;26.47)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>4.60 (1.14&#x2013;18.54)</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Outside</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="11" rowspan="1" valign="middle">
                                <bold>Charcoal use</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Often</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.10 (0.79&#x2013;1.52)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.10 (0.77&#x2013;1.57)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.30 (0.90&#x2013;1.87)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>1.52 (1.02&#x2013;2.27)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.44 (0.92&#x2013;2.26)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.56 (0.94&#x2013;2.61)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.33 (0.51&#x2013;3.48)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.37 (0.52&#x2013;3.63)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.66 (0.44&#x2013;6.29)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>3.17 (1.04&#x2013;9.71)</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Sometimes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.04 (1.32&#x2013;3.15)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.28 (0.80&#x2013;2.04)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.61 (1.63&#x2013;4.18</bold>)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.11(0.63&#x2013;1.96)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.09 (1.17&#x2013;3.73)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.69 (0.29&#x2013;1.61)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>4.11 (1.40&#x2013;12.11)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.50 (0.44&#x2013;5.18)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.76 (0.56&#x2013;13.50)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.59 (0.07&#x2013;5.21)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Never</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="11" rowspan="1" valign="middle">
                                <bold>Using charcoal location</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Inside</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.95 (0.62&#x2013;1.45)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.89 (0.56&#x2013;1.42)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.26 (0.81&#x2013;1.96)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.40 (0.84&#x2013;2.34)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.72 (0.41&#x2013;1.26)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.83 (0.41&#x2013;1.66)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.13 (0.75&#x2013;6.09)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>4.71 (1.36&#x2013;16.32)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.32 (0.27&#x2013;6.42)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.46 (0.67&#x2013;9.01)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Both</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.03 (0.89&#x2013;4.63)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.64 (0.21&#x2013;1.92)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.32 (0.54&#x2013;3.25)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.18 (0.38&#x2013;3.64)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.19 (0.42&#x2013;3.38)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.84 (0.19&#x2013;3.78)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.46 (0.16&#x2013;13.01)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.83 (0.30&#x2013;27.07)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.35 (0.24&#x2013;47.21)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.19 (0.22&#x2013;21.51)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Outside</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="11" rowspan="1" valign="middle">
                                <bold>Using charcoal duration (year)</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&gt;20</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>1.38 (1.01&#x2013;1.89)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.05 (0.74&#x2013;1.50)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>1.73 (1.22&#x2013;2.44)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.34 (0.89&#x2013;2.01)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.50 (0.98&#x2013;2.30)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.55 (0.93&#x2013;2.57)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.36 (0.99&#x2013;1.87)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.49 (0.60&#x2013;3.74)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.39 (0.70&#x2013;8.24)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.63 (0.51&#x2013;5.19)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1&#x2013;20</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.28 (0.78&#x2013;2.12)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.40 (0.87&#x2013;2.25)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.25 (0.70&#x2013;2.22)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.54 (0.89&#x2013;2.68)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.31 (0.65&#x2013;2.63)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.55 (0.21&#x2013;1.46)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.28 (0.77&#x2013;2.11)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.71 (0.15&#x2013;3.46)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.62 (0.75&#x2013;9.16)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Not use</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Years of using charcoal o</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.003 (0.996&#x2013;1.010)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.003 (0.995&#x2013;1.011)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>1.010 (1.002&#x2013;1.017)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.007 (0.998&#x2013;1.016)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.004 (0.995&#x2013;1.013)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>1.013 (1.001&#x2013;1.024)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.015 (0.997&#x2013;1.034)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.012 (0.990&#x2013;1.033)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.014 (0.989&#x2013;1.039)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.011 (0.986&#x2013;1.037)</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn>
                        <p id="TFN7">*Logistic regression, adjusted for gender (male, female), age (continuous), cigarette smoking (ever, never), living with smoker (yes, no), working with smoker (yes, no), pesticide use (yes, no), working in a factory (yes, no)</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <p>This study presented an association between cardiovascular diseases and exposure to smoke from biomass, mainly charcoal, which is relatively cleaner when compared to wood, coal, or dung, a biomass which were often found in the literature. The study also showed that biomass use not only affects household cooks but also their family members. It was found that biomass users have a higher prevalence of HBP and HC, and their family members had a higher prevalence of HBP, HC, diabetes, and CHD (
                <xref ref-type="table" rid="T3">Table 3</xref>). Further analysis using logistic regression and control for potential confounder showed a significant OR of biomass use and CHD(F), HBP(F), HC(F), and diabetes(F) (
                <xref ref-type="table" rid="T4">Table 4</xref>). Compared to LPG, wood use also had a strong association with stroke (OR=7.64; 95%CI 1.18&#x2013;49.61). Among charcoal users, those who use it sometimes or often had an elevated risk of CHD, HBP, HC, and diabetes for themselves, and risk of HC and stroke for their family members. The results are consistent with the literature. Previous research found biomass smoke contains a lot of pollutants, especially fine particulates, and carbon monoxide which are known to cause cardiovascular effects
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. In laboratory studies, biomass smoke exposure was associated with endothelial inflammation
                <sup>
                    <xref ref-type="bibr" rid="ref-23">23</xref>
                </sup>.</p>
            <p>For hypertension, we found both cooks and their family members have a higher prevalence of HBP (
                <xref ref-type="table" rid="T3">Table 3</xref>). Further analysis indicated an elevated risk of HBP (OR= 1.61; 95%CI 1.10&#x2013;2.35) among family members of cooks using biomass for cooking (
                <xref ref-type="table" rid="T4">Table 4</xref>). As compared to those who never use it, cooks who sometimes use charcoal have twice the risk of HBP (OR=2.04; 95%CI 1.32&#x2013;3.15) and those who use charcoal over twenty years have 1.38 times the risk of HBP (OR=1.38; 95%CI 1.01&#x2013;1.89). In the literature, there is increasing evidence to link biomass smoke and HBP
                <sup>
                    <xref ref-type="bibr" rid="ref-24">24</xref>,
                    <xref ref-type="bibr" rid="ref-25">25</xref>
                </sup>. A study in Peru found that biomass users had an increased risk of both prehypertension (OR=5.0; 95%CI 2.6&#x2013;9.9), and hypertension (OR=3.5; 95%CI 1.7&#x2013;7.0)
                <sup>
                    <xref ref-type="bibr" rid="ref-12">12</xref>
                </sup>. In Bangladesh, it was found that among rural women, each additional year of biomass smoke exposure could increase the risk of HBP by 61% (OR=1.61; 95%CI 1.16&#x2013;2.22)
                <sup>
                    <xref ref-type="bibr" rid="ref-26">26</xref>
                </sup>. In Bangladesh, it was found that among rural women, one additional year of biomass smoke exposure to increase risk of HBP by 61% (OR=1.61; 95%CI 1.16&#x2013;2.22)
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>
                </sup>. Recent studies in Honduras also linked PM2.5 and black carbon exposure and HBP among women using traditional and improved stoves
                <sup>
                    <xref ref-type="bibr" rid="ref-25">25</xref>
                </sup>.</p>
            <p>The current study also found a higher prevalence of HC among cooks and their family members using biomass fuel (
                <xref ref-type="table" rid="T3">Table 3</xref>) with a significant OR of 2.74 (95%CI 1.66&#x2013;4.53) for family members (
                <xref ref-type="table" rid="T4">Table 4</xref>). The result showed a difference in the risk of HC among those who use wood, charcoal, and LPG. This risk also varied particularly according to the frequency of charcoal use. Compared to nonusers, an elevated risk of HC was found among cooks who sometimes use charcoal (OR=2.04; 95%CI 1.32&#x2013;3.15), and among those who use charcoal over 20 years (OR=1.73; 95%CI 1.22&#x2013;2.44). Among cooks, every year of using charcoal will increase risk of HC by about 1% (OR=1.010; 95%CI 1.002&#x2013;1.017). Risk of HC was also increased among family members of cooks who often use charcoal (OR=1.52; 95%CI 1.02&#x2013;2.27). Though the evidence was limited, other studies have found an association between cholesterol and COPD, a disease often found among biomass users
                <sup>
                    <xref ref-type="bibr" rid="ref-26">26</xref>
                </sup>. A study in Ghana also found a strong association between wood smoke exposure and several hematological and biochemical indices, including HC (OR=20.44; 95%CI 2.610&#x2013;160.2)
                <sup>
                    <xref ref-type="bibr" rid="ref-27">27</xref>
                </sup>. The higher OR might be explained by the difference in biomass types, which was found to be wood in other studies, while most of respondents in this study use charcoal which is relatively cleaner.</p>
            <p>We found about 10% of the respondents had type 2 diabetes and the prevalence of the disease was higher among biomass users (
                <xref ref-type="table" rid="T3">Table 3</xref>). Logistic regression analysis revealed a significant risk of diabetes among cooks using charcoal sometimes (OR=2.09; 95%CI 1.17&#x2013;3.73) as compared to the never user group (
                <xref ref-type="table" rid="T4">Table 4</xref>). Among family members of cooks, risk of diabetes was elevated by using biomass fuel (OR=1.88; 95%CI 1.03&#x2013;3.46), and years of using charcoal (OR=1.013; 95%CI 1.001&#x2013;1.024). Similar results have also been reported by several studies on the effect of particulate matter or traffic-related air pollutants on diabetes
                <sup>
                    <xref ref-type="bibr" rid="ref-28">28</xref>
                </sup>. In addition, experimental studies may provide potential mechanisms, including glucose homeostasis, systemic inflammation, stress in the liver and endoplasmic reticulum, and alterations of mitochondrial and other adipose tissue
                <sup>
                    <xref ref-type="bibr" rid="ref-29">29</xref>
                </sup>. Currently, epidemiological studies on the effect of indoor air pollution on diabetes are rare. A study of women in Honduras reported an association between the prevalence of prediabetes/diabetes and PM2.5 in kitchen biomass cooking stoves
                <sup>
                    <xref ref-type="bibr" rid="ref-30">30</xref>
                </sup>. This was consistent with the results from a previous study from Shanghai Putuo, which also found an elevated risk of several cardiovascular diseases including diabetes (OR=2.48; 95%CI 1.59&#x2013;3.86) among people using solid fuel at home
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>
                </sup>.</p>
            <p>Those who use biomass for cooking had a risk of CHD 4.35 times (95%CI 0.10&#x2013;18.97) of LPG users; and those using charcoal sometimes had risk of CHD 4.11 times (95%CI 1.40&#x2013;12.11) of never user group. These results are consistent with evidence from cigarette smoke and ambient air pollution. In animal studies, biomass fuel smoke caused arteriosclerotic effects in animal blood vessels
                <sup>
                    <xref ref-type="bibr" rid="ref-11">11</xref>
                </sup>. Studies found COPD as a risk factor of CHD
                <sup>
                    <xref ref-type="bibr" rid="ref-31">31</xref>
                </sup>; and our previous study found elevated chronic symptoms, such as chronic cough, dyspnea and runny nose which is a sign of COPD among cooks using biomass fuel for cooking
                <sup>
                    <xref ref-type="bibr" rid="ref-26">26</xref>
                </sup>. Epidemiological studies also reported an association between solid fuel smoke exposure and CHD
                <sup>
                    <xref ref-type="bibr" rid="ref-32">32</xref>
                </sup>. A study in Pakistan found that rural women who currently use solid fuel had an increased risk of acute coronary syndrome (OR=4.8; 95%CI 1.5&#x2013;14.8)
                <sup>
                    <xref ref-type="bibr" rid="ref-33">33</xref>
                </sup>. This is consistent with a study from Shanghai Putuo, which found solid fuel use in the home is associated with CHD (OR=2.58; 95%CI 1.53&#x2013;4.32)
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>
                </sup>, and study from Shanxi, China found an elevated risk of CHD (OR=2.25) among solid fuel users
                <sup>
                    <xref ref-type="bibr" rid="ref-15">15</xref>
                </sup>.</p>
            <p>In this study, respondents who use wood (OR=7.64; 95%CI 1.18&#x2013;49.61) and charcoal (OR=2.03; 95%CI 0.58&#x2013;7.09) had an elevated risk of stroke as compared to clean fuel users (
                <xref ref-type="table" rid="T4">Table 4</xref>). Among charcoal users, those using charcoal sometimes (OR=1.66; 95%CI 0.44&#x2013;6.29) and often (OR=2.76; 95%CI 0.56&#x2013;13.50) seem to have a higher risk of stroke but a significant elevation was found only among the family members of cooks using charcoal often (OR=3.17; 95%CI 1.04&#x2013;9.71). This was consistent with the literature. The association between household solid fuel use and stoke were also reported in a study from Shanghai Putuo (OR=1.87; 95% CI 1.03&#x2013;3.38)
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>
                </sup>, and study from Shanxi, China (OR=1.64)
                <sup>
                    <xref ref-type="bibr" rid="ref-15">15</xref>
                </sup>. In ambient settings, a long-term effect of PM exposure on cardiovascular disease, including stroke, was well established
                <sup>
                    <xref ref-type="bibr" rid="ref-34">34</xref>
                </sup>. It was estimated that for each 10 &#x00b5;g/m
                <sup>3</sup> increment in PM10, risk of overall stroke events will increase by 1.06 times (95%CI 1.02&#x2013;1.11), and the risk of stoke mortality by 1.08 times (95%CI 0.99&#x2013;1.18)
                <sup>
                    <xref ref-type="bibr" rid="ref-35">35</xref>
                </sup>.</p>
            <p>One potential drawback of this study was the use of self-reported data of diseases. Without the confirmation of medical records, the survey diseases are subjected to information bias. However, the bias will be distributed equally to all comparison groups, and this tends to underestimate the result. The number of participants included in this study was also rather small to detect the actual association of a rare disease, e.g. stroke. By using cross-sectional design, the study result cannot explain the causal relationship, because it is not known whether exposure or the disease occurred first. However, the problem is minimal for rare diseases.</p>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusions</title>
            <p>The results from this study support research findings in other part of the world that using biomass for cooking increases the risk of cardiovascular diseases. This study also confirms the negative effects of using charcoal, which is considered to be a relatively cleaner fuel as compared with wood, dung, coal, and other agricultural residues. Concerned organizations should pay more attention to the issue and promote clean fuel usage.</p>
        </sec>
        <sec>
            <title>Data availability</title>
            <sec>
                <title>Underlying data</title>
                <p>Figshare: Household cooking and cardiovascular diseases, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.12117066.v2">https://doi.org/10.6084/m9.figshare.12117066.v2</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-22">22</xref>
                    </sup>.</p>
                <p>This project contains the following underlying data:</p>
                <list list-type="bullet">
                    <list-item>
                        <p>Household cooking and cardiovascular diseases.sav (Collected demographic and cardiovascular diseases data)</p>
                    </list-item>
                    <list-item>
                        <p>Data dictionary.docx (Word document containing dictionary for study dataset)</p>
                    </list-item>
                </list>
            </sec>
            <sec>
                <title>Extended data</title>
                <p>Figshare: Questionnaire-household cooking and cardiovascular disease, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.12121887.v2">https://doi.org/10.6084/m9.figshare.12121887.v2</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-21">21</xref>
                    </sup>.</p>
                <p>This project contains the following extended data:</p>
                <list list-type="bullet">
                    <list-item>
                        <p>Questionnaire-household cooking and cardiovascular disease.docx (Study questionnaire in English)</p>
                    </list-item>
                    <list-item>
                        <p>Questionnaire-household cooking and cardiovascular disease-Thai.docx (Study questionnaire in Thai)</p>
                    </list-item>
                </list>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">Creative Commons Zero "No rights reserved" data waiver</ext-link> (CC0 1.0 Public domain dedication).</p>
            </sec>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p> We would like to thank the participants in this study. Our appreciation also goes to local health promoting hospitals in Phitsanulok and the village health volunteers for data collection. We would like also to thank Mr. Kevin Mark Roebl of the Division of International Affairs and Language Development, Naresuan University for editing assistance.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report71210">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.25888.r71210</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Barman</surname>
                        <given-names>Nilima</given-names>
                    </name>
                    <xref ref-type="aff" rid="r71210a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-9664-5636</uri>
                </contrib>
                <aff id="r71210a1">
                    <label>1</label>Department of Laboratory Medicine, Bangladesh Institute of Research and Rehabilitation for Diabetes, Endocrine and Metabolic Disorders (BIRDEM), Dhaka, Bangladesh</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>22</day>
                <month>9</month>
                <year>2020</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2020 Barman N</copyright-statement>
                <copyright-year>2020</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport71210" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.23457.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The article has emphasized on detrimental effects of biomass cooking fuel on cardiovascular health. The results will help in future policy making regarding cooking fuel. The overall article is well-written but some of the issues need to be clarified as described below.</p>
            <p> </p>
            <p> 
                <bold>In the abstract: </bold> 
                <list list-type="order">
                    <list-item>
                        <p>The methods should be improved, giving a clear description of cooking fuel.</p>
                    </list-item>
                    <list-item>
                        <p>The author mentioned 'hypertension' in the objective, but high blood pressure (HBP) in the result section. Terminology should be consistent throughout the manuscript.</p>
                    </list-item>
                    <list-item>
                        <p>In the conclusion, the author stated, 'the study results were consistent with those found in studies from other parts of the world...'. This statement should be discussed in the discussion, not in the conclusion. The conclusion should be based on the authors'&#x00a0;main findings.</p>
                    </list-item>
                </list> 
                <bold>In the introduction:</bold> 
                <list list-type="order">
                    <list-item>
                        <p>Please clarify the term 'Cooking smoke,' whether it means smoke from cooking or from fuel?</p>
                    </list-item>
                </list> 
                <bold>In the methods:</bold> 
                <list list-type="order">
                    <list-item>
                        <p>The study design is well articulated. But self-reported cardiovascular diseases may give a vague impression to the readers, although the author mentioned it as a limitation. In a matter of sense, the authors showed more than two-thirds (71.9 %) of participants had primary education who acted as self reporters of disease condition. So, in my opinion, the authors should have a strong justification in favor of including self-reported cardiovascular diseases with authentic scientific references.</p>
                    </list-item>
                    <list-item>
                        <p>Again, do&#x00a0;the authors cross-check self-reported disease conditions with the patient's medical or laboratory reports or drug history? The mentioned high cholesterol (HC) is instead a biochemical abnormality apart from a disease condition.</p>
                    </list-item>
                </list> 
                <bold>In statistical analysis:</bold> 
                <list list-type="order">
                    <list-item>
                        <p>The regression model needs a precise description. Is it a multivariate or multinominal model?</p>
                    </list-item>
                    <list-item>
                        <p>In a logistic regression model, the cardiovascular disease condition of family members are also encountered. Are the adjusting confounding variables like age and sex in that regression model in relation of family members&#x2019; age and sex, or the respondents&#x2019;? It should be precisely mentioned in description of regression model.</p>
                    </list-item>
                </list> 
                <bold>In results:</bold> 
                <list list-type="order">
                    <list-item>
                        <p>It seems confusing between the data on 'Fuel use for cooking' in Table 1 and the total no of biomass and LPG users in Table 2. (In Table 1, LPG users are 695 participants, but in Table 2, it is 322 (by addition of 56 male and 266 female). Same for the biomass fuel. Please clarify it.</p>
                    </list-item>
                    <list-item>
                        <p>The footnote of Table 2 had a term '2-trail'. Is it trail or tail? Please correct it.</p>
                    </list-item>
                    <list-item>
                        <p>In Table 4, the significant value is given in bold letters. Please mention it.</p>
                    </list-item>
                </list> 
                <bold>In discussion:</bold> 
                <list list-type="order">
                    <list-item>
                        <p>In the 4
                            <sup>th</sup> paragraph, the authors stated that 'We found about 10% of the respondents had type 2 diabetes'. It is hard to believe self-reported evidence of type 2 diabetes. Please clarify this or correct it.&#x00a0; &#x00a0;&#x00a0;&#x00a0;</p>
                        <p> &#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;</p>
                    </list-item>
                </list> 
                <bold>In conclusion:</bold> the same as in abstract.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Non communicable disease, Laboratory medicine, Public health</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment5970-71210">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Juntarawijit</surname>
                            <given-names>Chudchawal</given-names>
                        </name>
                        <aff>Naresuan University, Thailand</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>25</day>
                    <month>9</month>
                    <year>2020</year>
                </pub-date>
            </front-stub>
            <body>
                <p>
                    <bold>Response to reviewer</bold>
                </p>
                <p>
                    <bold>In the abstract: </bold>
                </p>
                <p>Comments: The methods should be improved, giving a clear description of cooking fuel.</p>
                <p>
                    <bold>Responses:</bold> A short description of cooking fuel was added to the methods section. Because F1000Research has set a maximum limit of 300 words for abstract, no more detailed information could be added.</p>
                <p>Comments: The author mentioned 'hypertension' in the objective, but high blood pressure (HBP) in the result section. Terminology should be consistent throughout the manuscript.&#x00a0;</p>
                <p>
                    <bold>Responses:</bold> The term &#x201c;high blood pressure&#x201d; was replaced by &#x201c;hypertension&#x201d;.</p>
                <p>Comments: In the conclusion, the author stated, 'the study results were consistent with those found in studies from other parts of the world...'. This statement should be discussed in the discussion, not in the conclusion. The conclusion should be based on the authors'&#x00a0;main findings.&#x00a0;</p>
                <p>
                    <bold>Responses:</bold> Yes, I agree that &#x201c;the statement should be discussed in the discussion&#x201d;. However, we believed we had already done that enough to justify the statement, which is our main finding.</p>
                <p>
                    <bold>In the introduction:</bold>
                </p>
                <p>Comments: Please clarify the term 'Cooking smoke,' whether it means smoke from cooking or from fuel?&#x00a0;</p>
                <p>
                    <bold>Responses:</bold> The meaning of cooking smoke was clarified and more information was added to the first paragraph in Introduction.</p>
                <p>
                    <bold>In the methods:</bold>
                </p>
                <p>Comments: The study design is well articulated. But self-reported cardiovascular diseases may give a vague impression to the readers, although the author mentioned it as a limitation. In a matter of sense, the authors showed more than two-thirds (71.9 %) of participants had primary education who acted as self reporters of disease condition. So, in my opinion, the authors should have a strong justification in favor of including self-reported cardiovascular diseases with authentic scientific references.</p>
                <p>
                    <bold>Responses:</bold> &#x00a0;Yes, I agree that using self-report data is a limitation of this study. However, since the data was collected by a well trained and experienced village health volunteer, the problem was expected to be minimal. The quality of the answer to this question may not depend much on their background education of respondents. In addition, this information bias, if occurred, will equally distribute among groups (case and control). &#x00a0;</p>
                <p>Comments: Again, do&#x00a0;the authors cross-check self-reported disease conditions with the patient's medical or laboratory reports or drug history? The mentioned high cholesterol (HC) is instead a biochemical abnormality apart from a disease condition.</p>
                <p>
                    <bold>Responses:</bold> Yes, it is good if we can do the cross-check self-reported conditions. However, we did not do that.</p>
                <p>
                    <bold>In statistical analysis:</bold>
                </p>
                <p>Comments: The regression model needs a precise description. Is it a multivariate or multinominal model?</p>
                <p>
                    <bold>Responses:</bold> Thank you for reminding.</p>
                <p>In this study, we use binary multiple logistic regression.</p>
                <p>More detail of the model was added to the statistic description.</p>
                <p>Comments: In a logistic regression model, the cardiovascular disease condition of family members are also encountered. Are the adjusting confounding variables like age and sex in that regression model in relation of family members&#x2019; age and sex, or the respondents&#x2019;? It should be precisely mentioned in description of regression model.</p>
                <p>
                    <bold>Responses:</bold> Thank you to raise the issue. It is a good point which could be another limitation of this study. We didn&#x2019;t have enough information of the family members, so just use the data of the respondents.</p>
                <p>More information was added in the description of the regression model.</p>
                <p>
                    <bold>In results:</bold>
                </p>
                <p>Comments: It seems confusing between the data on 'Fuel use for cooking' in Table 1 and the total no of biomass and LPG users in Table 2. (In Table 1, LPG users are 695 participants, but in Table 2, it is 322 (by addition of 56 male and 266 female). Same for the biomass fuel. Please clarify it.</p>
                <p>
                    <bold>Responses: </bold>Table 1 showed data on what types of fuel the respondents usually use for cooking, and some of them use more than one fuel types. However, data in Table 2 was from another question which asked whether the respondents use biomass or not, and those who answered &#x201c;no&#x201d; was then classed as none biomass user or LPG user (assumed that only few use electric strove).</p>
                <p>Comments: The footnote of Table 2 had a term '2-trail'. Is it trail or tail? Please correct it.</p>
                <p>
                    <bold>Responses:</bold> The error was corrected.</p>
                <p>Comments: In Table 4, the significant value is given in bold letters. Please mention it.</p>
                <p>
                    <bold>Responses: </bold>The statement was added to Table 4 footnote.</p>
                <p>
                    <bold>In discussion:</bold>
                </p>
                <p>Comments: &#x00a0;In the 4
                    <sup>th</sup> paragraph, the authors stated that 'We found about 10% of the respondents had type 2 diabetes'. It is hard to believe self-reported evidence of type 2 diabetes. Please clarify this or correct it.&#x00a0; &#x00a0;&#x00a0;&#x00a0;</p>
                <p>
                    <bold>Responses:</bold> Actually, we asked whether the respondents had ever been diagnosed by a medical doctor to have type 2 diabetes. Also the data was collected by village health volunteer, who were well trained as public health staff and know the disease which is very common in Thailand.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report62897">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.25888.r62897</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Puoane</surname>
                        <given-names>Thandi</given-names>
                    </name>
                    <xref ref-type="aff" rid="r62897a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-8871-9260</uri>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Tsolekile</surname>
                        <given-names>Lungiswa</given-names>
                    </name>
                    <xref ref-type="aff" rid="r62897a1">1</xref>
                    <role>Co-referee</role>
                </contrib>
                <aff id="r62897a1">
                    <label>1</label>School of Public Health, University of the Western Cape, Bellville, South Africa</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>19</day>
                <month>5</month>
                <year>2020</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2020 Puoane T and Tsolekile L</copyright-statement>
                <copyright-year>2020</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport62897" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.23457.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>A cross-sectional study undertaken to investigate a possible association between biomass use for cooking and cardiovascular diseases, including CHD, HBP, HC, diabetes, and stroke. Biomass users had a significantly higher prevalence of HBP, and HC, and their family members also had more incidence of HBP, HC, diabetes, and heart disease. 
                <list list-type="bullet">
                    <list-item>
                        <p>In the abstract: Change "object" to "objective" of this study.</p>
                    </list-item>
                    <list-item>
                        <p>The abbreviation &#x201c;LPG" used from the abstract was not defined.</p>
                    </list-item>
                    <list-item>
                        <p>The conclusion should be improved giving a summary of the findings first then move onto saying &#x201c;these findings support&#x00a0;those of..."</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>I cannot comment. A qualified statistician is required.</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Public Health, Nutrition Epidemiology, Cardiovascular risk factors</p>
            <p>We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
</article>
