<?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.125343.1</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>Association between depression and sarcopenia in patients with heart failure</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: awaiting peer review]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Yuenyongchaiwat</surname>
                        <given-names>Kornanong</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</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>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-2997-4904</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Pinijmung</surname>
                        <given-names>Prapromporn</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</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/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Buakhamsri</surname>
                        <given-names>Adisai</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-1026-1349</uri>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Physiotherapy, Faculty of Allied Health Sciences, Thammasat University, Klong Luang, Pathumthani, 12120, Thailand</aff>
                <aff id="a2">
                    <label>2</label>Thammasat University Research Unit for Physical Therapy in Respiratory and Cardiovascular Systems, Thammasat University, Klong Luang, Pathumthani, 12120, Thailand</aff>
                <aff id="a3">
                    <label>3</label>Physical therapy department, Central Chest Institute of Thailand, Nonthaburi, 11000, Thailand</aff>
                <aff id="a4">
                    <label>4</label>Department of Internal Medicine, Faculty of Medicine,, Thammasat University, Klong Luang, Pathumthani, 12120, Thailand</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:ykornano@tu.ac.th">ykornano@tu.ac.th</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>23</day>
                <month>9</month>
                <year>2022</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>11</volume>
            <elocation-id>1093</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>13</day>
                    <month>9</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Yuenyongchaiwat K et al.</copyright-statement>
                <copyright-year>2022</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/11-1093/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Prevalence of heart failure has been increasing worldwide. Decreased muscle mass, poor physical activity, and reduced physical performance or muscle strength might lead to sarcopenia among heart failure patients and therefore lead to low cardiac output, and vice versa. Symptoms of depression are also common mental health problems in heart failure. However, little is known about the prevalence of depressive symptoms in heart failure patients with sarcopenia and the relationship with its. This study aimed to explore the prevalence of and relationship between sarcopenia and depressive symptoms in heart failure patients.</p>
                <p>
                    <bold>Methods:</bold> A cross-sectional study comprised of 150 participants aged 35 years or older. Sarcopenia and no sarcopenia were classified by using the Asian Working Group for Sarcopenia 2019 criteria. Physical performance, muscle strength, and skeletal muscle mass were examined. Symptoms of depression were assessed through utilization of the validated Thai version of Patient Health Questionnaire 9.</p>
                <p>
                    <bold>Results:</bold> The prevalence of sarcopenia was 18.67% and depression was 5.33% in heart failure patients. In addition, the prevalence of depression in heart failure patients with sarcopenia were 3.57%. The relationship was observed based on depression scores and New York Heart Association functional classification (
                    <italic toggle="yes">r</italic> = 0.319, p&lt;.001). Furthermore, heart failure patients with low New York Heart Association functional class had high depression scores (p&lt;.001). However, no significant differences between depression scores and sarcopenia in heart failure patients were identified.</p>
                <p>
                    <bold>Conclusions:</bold> Prevalence of sarcopenia in heart failure patients was 18.67% and only 5.33% exhibited depressive symptoms. Only 3.57% exhibited both depression and sarcopenia. Additionally, New York Heart Association functional classification was related to depression.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Heart failure</kwd>
                <kwd>Sarcopenia</kwd>
                <kwd>Depression</kwd>
                <kwd>Functional classification</kwd>
                <kwd>Prevalence</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>Faculty of Allied Health Sciences Research Fund</funding-source>
                    <award-id>7/2564</award-id>
                </award-group>
                <funding-statement>This study was fully supported by the Faculty of Allied Health Sciences Research Fund, Contract No.7/2564, Thammasat University.</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 id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>A global increase in heart failure (HF) has been reported in several developed and developing countries. Research indicated that the number of patients with HF has been increasing from 33.5 million in 1990 to 64.3 million in 2017.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> In addition, the incidence of HF is increasing for individuals with advanced age
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> and increasing age-related symptoms of HF and higher number of HF in ages of &#x2265; 70 years.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> Lippi and Sanchis-Gomar
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> estimated that the prevalence of overall HF is projected to be 50% by the year 2030 in low to middle socio-demographic index regions.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
            </p>
            <p>Causes of HF are described as abnormalities of cardiac function or cardiac structure that lead to inadequate cardiac output.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> The factors that contribute to the development of sarcopenia in HF are physical inactivity, low muscle blood flow, hormonal changes, and endothelial dysfunction.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> These factors affect the reduction in muscle mass and muscle strength, including low physical performance. As a result, patients with HF display symptoms of depression and poor quality of life.</p>
            <p>Recently, a systematic review and meta-analysis (from 11 articles on 1742 patients with HF) showed a 10% to 69% prevalence of sarcopenia in HF patients.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> Furthermore, the prevalence of sarcopenia in patients who were hospitalized with HF was reported to be 55%, whereas those who were still ambulatory was 26%.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
            </p>
            <p>Regarding symptoms of depression in HF patients, the prevalence of depressive symptoms appears to be 20%.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> However, the variation in the prevalence ranged from 9%-60%, depending on measurement and population.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> In addition, depression is often related to adverse health events. Evidence found that a decrease in muscle mass was noted in patients with depression.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> Additionally, symptoms of depression in sarcopenia were identified to be relatively high, indicating a relationship between sarcopenia and depression.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> A higher prevalence rate of depression among individuals with sarcopenia compared to the general population has also been identified.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> However, few studies have reported depression in HF patients with sarcopenia. Therefore, this study aimed to explore the prevalence of depression among HF patients with sarcopenia and sarcopenia&#x2019;s relationship with depression in HF patients.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <p>A cross-sectional study was designed with both male and female HF patients at Heart Failure Clinic Thammasat University Hospital and Center of Chest Institution in Thailand. The sample size was calculated based on the study by Canteri 
                <italic toggle="yes">et al.,</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> the prevalence of sarcopenia in HF was 10.1%; therefore, the sample size was 140. To prevent insufficient data, 154 participants were enrolled in the present study.</p>
            <p>An information sheet and consent form were given to all participants. The protocol has been approved by the Human Research Ethics Committee of Thammasat University (Science), Thailand in accordance with the compliance with the Declaration of Helsinki, the Belmont report, the Council for International Organizations of Medical Sciences (CIOMS) guidelines and the International Practice (ICH-GCP), COA no. 071/2563.</p>
            <p>All male and female participants aged 35 years or older, who were receiving medical treatment due to HF were enrolled. Participants who had unstable angina, uncontrolled arrhythmia, blood pressure greater than 180/100 mmHg at rest, resting heart rate higher than 120 beats per min, exacerbated chronic obstructive pulmonary disease (COPD), or musculoskeletal or neurological health problems that affect the tests were excluded.</p>
            <p>Based on the Asian Working Group for Sarcopenia (AWGS) diagnosis criteria in 2019, sarcopenia is defined as poor physical performance and/or muscle strength as well as low muscle mass; individuals who exhibit all of these criteria are categorized as having severe sarcopenia.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> In addition, possible sarcopenia is defined as low muscle strength with or without decreased physical performance. Poor physical performance was examined utilizing a 6-meter walk test to determine gait speed, and the cut-off value of &lt;1.0 m/s was categorized as a slow gait speed.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Poor muscle strength was measured by utilizing a handgrip dynamometer dynamometer (T.K.K. 5401; Grip-D; Tokyo, Japan); the cut-off value was less than 28 kg for men and less than 18 kg for women.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> The participants were asked to perform the handgrip dynamometer test twice with their dominant hand while standing, and the average hand grip strength was reported. Low muscle mass was evaluated by using bioimpedance analysis (HBF-375, Omron Healthcare Co., Ltd., Japan), skeletal muscle mass (SMM) was calculated by skeletal muscle percentage multiplied with body weight (kilogram); therefore, skeletal muscle index (SMI) was calculated by SMM in kg adjusted for the squared height (SMM/hight,
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> kg/m
                <sup>2</sup>). According to AWGS 2019, a SMI value of &lt;7.0 kg/m
                <sup>2</sup> in men and &lt;5.7 kg/m
                <sup>2</sup> in women was defined as low muscle mass.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> This method has previously been utilized and published elsewhere.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> All participants were evaluated by a trained physical therapist.</p>
            <p>The Patients Health Questionnaire 9 (PHQ-9) is widely used for identification of depressive symptoms.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> The Thai version of PHQ-9 with a cut-off score of &#x2265; 9 has shown a good sensitivity and internal consistency (0.84 and 0.77, respectively).
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> All participants were asked to complete the PHQ-9 for depressive symptom screening.</p>
            <p>ANOVA, T-test, and chi-square tests were used for the comparison between sarcopenia and no-sarcopenia or depression and no depression, where appropriate. The relationship with depression was analyzed by Pearson correlation or Spearman rank correlation, and p-value was set at &lt;.05.</p>
        </sec>
        <sec id="sec3" sec-type="results">
            <title>Results</title>
            <p>Of the 154 participants, only four individuals did not complete the tests (e.g., depression questionnaire or sarcopenia screening). Finally, 150 people with HF were included in the analysis and the prevalence of sarcopenia was 18.67% (i.e., seven (4.67 %) in severe sarcopenia and 21 (14.00%) in sarcopenia) (see 
                <xref ref-type="fig" rid="f1">Figure 1</xref>).</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Sarcopenia in patients with heart failure category by diagnostic algorithms of Asian Working Group for Sarcopenia.</title>
                </caption>
                <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/137640/fb2c6c7c-69e2-4fe1-92f3-726f17338dba_figure1.gif"/>
            </fig>
            <p>Statistically significant differences were observed in age, sex, body mass index (BMI), and left ventricular ejection fraction (LVEF) between sarcopenia and no sarcopenia in HF patients. Compared to participants with no sarcopenia, those with sarcopenia had an older age, low BMI, low LVEF, and found in female gender. However, no significant differences between depression scores (i.e., PHQ-9) and New York Heart Association (NYHA) functional classification in sarcopenia and no sarcopenia were observed in HF patients (see 
                <xref ref-type="table" rid="T1">Table 1</xref>).</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>Table 1. </label>
                <caption>
                    <title>Comparison between sarcopenia and no sarcopenia in HF patients.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Variable</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Total (N=150)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Sarcopenia (N=28)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Non-sarcopenia (N=122)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
                                <italic toggle="yes">&#x03c7;
                                    <sup>2</sup>
                                </italic>
                            </th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
                                <italic toggle="yes">p</italic>-value</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">95% CI</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Sex (%)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="3" valign="top">7.093</td>
                            <td align="left" colspan="1" rowspan="3" valign="top">0.009</td>
                            <td align="left" colspan="1" rowspan="3" valign="top">1.31 to 7.16</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">106 (70.67)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14 (13.21)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">92 (86.79)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">44 (29.33)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14 (31.82)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30 (68.18)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">LVEF (%)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="3" valign="top">5.281</td>
                            <td align="left" colspan="1" rowspan="3" valign="top">0.017</td>
                            <td align="left" colspan="1" rowspan="3" valign="top">1.14 to 7.95</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">HFrEF (&lt;40%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">89 (59.33)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">22 (24.72)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">67 (75.28)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">HFpEF (&#x2265;40%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">61(40.66)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6 (9.84)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">55 (90.16)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">NYHA class</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="4" valign="top">1.055</td>
                            <td align="left" colspan="1" rowspan="4" valign="top">0.590</td>
                            <td colspan="1" rowspan="4"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">I</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">71 (47.33)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11 (15.49)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">60 (84.51)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">II</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">63 (42.00)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13 (20.63)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">50 (79.37)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">III</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16 (10.67)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4 (25.00)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12 (75.00)</td>
                        </tr>
                    </tbody>
                </table>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">Mean&#x00b1;SD</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Mean&#x00b1;SD</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Mean&#x00b1;SD</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">t</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
                                <italic toggle="yes">p</italic>-value</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">95% CI</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Age (yrs)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">58.53&#x00b1;11.85</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">65.64&#x00b1;9.45</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">56.90&#x00b1;11.78</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3.665</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.03to13.46</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">BMI (kg/m
                                <sup>2</sup>)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">26.55&#x00b1;4.96</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">22.88&#x00b1;3.50</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27.39&#x00b1;4.87</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-4.5632</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-6.44 to -2.59</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">LVEF (%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">37.26&#x00b1;13.28</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">31.54&#x00b1;8.69</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">38.57&#x00b1;13.82</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-2.574</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">.011</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-12.43 to -1.63</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">SMI (kg/m
                                <sup>2</sup>)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7.20&#x00b1;1.55</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.54&#x00b1;0.80</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7.58&#x00b1;1.43</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-7.2687</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-2.59 to -1.49</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Gait speed (m/s)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.13&#x00b1;0.27</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.93&#x00b1;0.22</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.17&#x00b1;0.27</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-4.554</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.35 to -0.14</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Handgrip strength (kg)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29.58&#x00b1;10.784</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">20.36&#x00b1;5.84</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">31.70&#x00b1;10.62</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-5.450</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-15.44 to -7.22</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">PHQ-9</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.13&#x00b1;3.14</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.39&#x00b1;3.51</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.07&#x00b1;3.06</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.496</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">.652</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-1.13 to 1.78</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>LVEF: left ventricular ejection fraction, HFrEF: Heart failure with reduced ejection fraction, HFpEF: Heart failure with preserved ejection fraction, NYHA: New York Heart Association, BMI: body mass index, SMI: skeletal muscle index, PHQ-9: Patients Health Questionnaire 9.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>Therefore, the PHQ-9 was performed to define depression in patients with HF using cut-off scores of nine categorized depression symptoms.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Chi-square test revealed that eight out of 150 (5.33%) participants were categorized as having depression. In addition, only one HF patient with sarcopenia out of 28 (3.57%) fell into the depression category. Furthermore, higher depression scores were related to the NYHA functional class (r= 0.319, 
                <italic toggle="yes">p</italic>&lt;.001); indicating that high depression scores reduced functional classification (see 
                <xref ref-type="table" rid="T2">Table 2</xref>).</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>Table 2. </label>
                <caption>
                    <title>correlation between PHQ-9 scores and characteristic data in HF patients.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">Sex 
                                <xref ref-type="table-fn" rid="tfn1">#</xref> (
                                <italic toggle="yes">p</italic>-value)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Age (
                                <italic toggle="yes">p</italic>-value)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">BMI (
                                <italic toggle="yes">p</italic>-value)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">EF (
                                <italic toggle="yes">p</italic>-value)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">NYHA
                                <xref ref-type="table-fn" rid="tfn1">#</xref> (
                                <italic toggle="yes">p</italic>-value)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">SMI (
                                <italic toggle="yes">p</italic>-value)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">HGS (
                                <italic toggle="yes">p</italic>-value)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">GS (
                                <italic toggle="yes">p</italic>-value)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">PHQ-9</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.113 (.169)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.153 (.062)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.140 (.087)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.080 (.330)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.319 (&lt;.001)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.047 (.569)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.023 (.781)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.101 (.217)</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>BMI: body mass index, LVEF: left ventricular ejection fraction, NYHA: New York Heart Association, SMI: skeletal muscle index, HGS: handgrip strength, GS: gait speed, PHQ-9: Patients Health Questionnaire 9.</p>
                    <fn-group content-type="footnotes">
                        <fn id="tfn1">
                            <label>
                                <sup>#</sup>
                            </label>
                            <p>Analysis by Spearman&#x2019; rank correlation.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <p>An ANOVA was then conducted to compare between NYHA functional classification and depression scores. Analysis indicated that individuals with NYHA functional class I (defined as having no symptoms and no limitations in ordinary physical activity) had lower PHQ-scores than those with NYHA functional class II (i.e., mild symptoms and slight limitations during ordinary activity) and NYHA functional class III (marked limitations in activity due to symptoms, only comfortable at rest) with the scores was 1.23&#x00b1;0.22, 2.30&#x00b1;0.41, and 5.44&#x00b1;1.20, respectively; F=13.979, 
                <italic toggle="yes">p</italic>&lt;.001 (see 
                <xref ref-type="fig" rid="f2">Figure 2</xref>).</p>
            <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                <label>Figure 2. </label>
                <caption>
                    <title>Comparison of New York Heart Association functional classification and depression scores.</title>
                </caption>
                <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/137640/fb2c6c7c-69e2-4fe1-92f3-726f17338dba_figure2.gif"/>
            </fig>
        </sec>
        <sec id="sec4" sec-type="discussion">
            <title>Discussion</title>
            <p>The present study focused on the prevalence and relationship between sarcopenia and depression among patients with HF. Results indicated that the prevalence of sarcopenia was 18.6% according to the AWGS criteria in 2019, and the prevalence of depression (defined as PHQ-9) was 5.33%. In addition, depression in HF patients with sarcopenia was 3.57%. A relationship was only identified between depression and NYHA functional classification.</p>
            <p>The prevalence of sarcopenia was 18.67% among HF patients, which corresponds with previous studies.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> Fulster 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> reported that 19.5% of patients with HF had sarcopenia. However, a systematic review with 11 studies reported that the average prevalence was 34%, ranging between 10% and 69% of those patients.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> In addition, several studies indicated that the factors associated with sarcopenia in patients with HF were sex, age, BMI, and LVEF. Konishi 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> reported that the prevalence of sarcopenia plays an important role in the mortality of HF patients with both reduced ejection fraction preserved and HF patients with preserved ejection fraction. Pathology of HF might be related to an inflammatory cytokine and lead to an imbalance between catabolism and anabolism, which results in impairment of skeletal muscle and function of the heart, in particular LVEF.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup>
            </p>
            <p>Regarding depressive symptoms, this study used cut-off scores on the PHQ-9 (&#x2265;9).
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> The prevalence of depression was only 5.33% among HF patients, which is a relatively low prevalence of depression. In contrast to other studies, the European Society of Cardiology reported that 20% of patients with HF exhibit depressive symptoms.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Additionally, a meta-analysis of 36 studies reported that the prevalence of clinical depression among HF patients was approximately 21.5%.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> Of those, 33.6% of participants exhibited high depressive symptoms based on questionnaires and 19.3% indicated depression through diagnostic interviews.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> Patients with HF who were screened with questionnaires were identified as exhibiting much higher depressive symptoms compared with diagnosis from interviews or psychiatric diagnoses. In addition, a literature review on the prevalence of depression in congestive HF found that patients with congestive HF had a two to three times higher prevalence rate of depression than the general population.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> Participants with heart disease had a high risk of new onset depressive symptoms.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> Previous studies indicated a high prevalence of depression in HF patients, ranging between 17.4-51.1%.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> However, in the present study, the prevalence of depression in HF patients was identified as only being 5.3%; this might be due to problems of self-reported bias in the depression questionnaire. Several studies indicated that self-reported bias and underreporting of depression were based on gender differences, where males show a low score compared to females.
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup> In our study, females indicated higher depression scores (i.e., PHQ-9) than male participants with HF; however, statistical significance was not observed (data was not shown). It should also be noted that of the patients who were enrolled, 70.63% were male, whereas only one-third of female&#x2019;s patients with HF were recruited. Therefore, the number of different gender participants may be conceptually problematic. Additionally, several studies reported that a short duration of HF indicated a higher rate of depression than those patients diagnosed with HF for a long time.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> However, the present study has not reported the duration of HF diagnosis. Hence, further studies should consider gender differences and record the duration of disease.</p>
            <p>The present study also found that depression scores were related to the functional classification of NYHA; higher the depression scores, higher the severity of the functional class. In line with previous studies, a high prevalence of depressive symptoms in HF was observed in NYHA class IV compared to NYHA class I.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>
                </sup> Association of depression with functional class in heart disease was higher in NYHA class III/IV compared to NYHA class I and II.
                <sup>
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup> However, no relationship was identified between depression and sarcopenia in the present study. Several previous studies, which explored sarcopenia and depression indicated that individuals with sarcopenia had a high depression score or depressive symptoms.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref31">31</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup> In the present study, it should be noted that low response rate to the PHQ-9 items in HF was observed (2.13&#x00b1;3.14 scores), which may have limited the ability to determine the increased risk for scoring high on sarcopenia.</p>
            <p>Some limitations that might affect sarcopenia and depression in HF patients should be taken in consideration for future research. This study enrolled patients with clinically stable HF and ambulatory patients. In addition, over 70% of the recruited participants were male. Therefore, the prevalence of depressive symptoms in HF patients with sarcopenia might be underestimated due to the relatively small sample size and recruitment of stable patients. In addition, demographic data such as marital status and duration of disease were not reported in association with depression.
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup> To explore the prevalence of depression in individuals with sarcopenia, future studies might recruit people with sarcopenia or identify sarcopenia in people who are diagnosed with depression.</p>
        </sec>
        <sec id="sec5" sec-type="conclusions">
            <title>Conclusions</title>
            <p>In conclusion, sarcopenia which was assessed using the AWGS 2019 criteria, was prevalent in 18.67% and only 5.33% of participants exhibited depressive symptoms. In addition, only 3.57% were identified as having both depression and sarcopenia. NYHA functional classification was related to depression.</p>
        </sec>
        <sec id="sec6">
            <title>Data availability</title>
            <p>
                <bold>Zenodo.</bold> Association between depression and sarcopenia in patients with heart failure. DOI: 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.7057739">10.5281/zenodo.7057739</ext-link>.
                <sup>
                    <xref ref-type="bibr" rid="ref35">35</xref>
                </sup>
            </p>
            <p>This project contains the following underlying data:
                <list list-type="bullet">
                    <list-item>
                        <label>-</label>
                        <p>Dataset for Association between depression and sarcopenia in patients with heart failure.</p>
                    </list-item>
                </list>
            </p>
            <p>Data are available under the terms of the 
                <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>The authors would like to thank Prof. Manote Lotrakul, MD., Department of Psychiatry, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Thailand for his permission to use the Thai version of PHQ-9. We would also like to thank staff from Thammasat University Hospital and Central Chest Institution, Thailand, for their support. We gratefully to thank the participants and their caregivers for participating in the study. Finally, the authors gratefully acknowledge the financial support provided by the Faculty of Allied Health Sciences Research Fund, Contract No.7/2564, Thammasat University. There is no conflict of interest in this study.</p>
        </ack>
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