ALL Metrics
-
Views
-
Downloads
Get PDF
Get XML
Cite
Export
Track
Research Article

Parental risk perceptions of child exposure to thirdhand smoke and related factors

[version 1; peer review: 1 approved, 1 approved with reservations]
PUBLISHED 21 Aug 2020
Author details Author details
OPEN PEER REVIEW
REVIEWER STATUS

Abstract

Background: Thirdhand smoke (THS) exposure is linked to lung cancer, asthma, and chronic diseases, especially in children. The parental risk perception of THS exposure in children has rarely been reported. The objective of this study was to test the association between sociodemographic factors and parental risk perceptions of child exposure to thirdhand smoke (PRPCETS) in residential homes with a child or children aged from one to five years old.
Methods: This study used secondary data from the Smoke Free Home intervention trial. 336 participants were included and analyzed. PRPCETS was assessed by self-administered questionnaire. Multiple logistic regression was used to test the factors related to parental risk perception to the harm of thirdhand smoke.
Results: The overall prevalence of disagreement that THS might be harmful to children was 22.02% (95% CI: 17.59%, 26.45%). Factors associated with PRPCETS were being over 50-years-old (OR: 2.15; 95%CI: 1.05, 4.41); attending school for more than six years (OR: 2.08; 95%CI: 1.07, 4.08); being unemployed (OR: 6.98; 95% CI, 1.41, 34.71); and the number of smokers in the home ≥2 persons (OR: 2.48; 95%CI: 1.41, 4.36).
Conclusions: Our findings show the factors related to PRPCETS as follows; aged over 50, duration of school attendance less than six years, no job status, and having ≥2 smokers in the home. Further studies should investigate parental knowledge of and attitude towards thirdhand smoke exposure.

Keywords

thirdhand smoke exposure, parental risk perception, risk factors, child health

Introduction

Third hand smoke (THS) means residual smoke emitted from tobacco products that is inhaled by a third party1. Smoke from tobacco products, secondhand smoke, will become embedded on the surface of walls, carpets, furniture, clothing, flooring, vehicles or toys2. Exposure to THS induces health problems such as lung cancer development3,4 and asthma5. Exposure to THS happens in a place that a smoker has previously smoked, such as in houses or cars. A study reported that the home is one of places that THS can occur if there is smoking in the home. Evidence shows that some homes remain contaminated with THS for six months6. The results show that infants or children stay, play and climb in the home, and they have a chance to be exposed to THS.

Reviews show few studies have been conducted to test factors related to parental risk perception concerning the harm to the child of THS exposure. Therefore, this study tested factors related to parental risk perceptions of child exposure to thirdhand smoke (PRPCETS).

Methods

Ethical approval and informed consent

The Mahasarakham University Institutional Review Board (IRB) approved the study. The study identification number is 113/2561. Written consent forms were distributed and provided to all participants, and they signed these consent forms.

Design and data collection

This study used secondary data from the Smoke Free Home study project. This project aimed to give smoke-free home information to parents of children aged 1–5 years that reside in the home. A cluster randomized controlled trial was carried out from February 2019 to October 2019 in Roi-Et province, Thailand, The trial was registered at the Thai Clinical Trials Registry (TCTR) with the code TCTR20190213001. Briefly, four primary health care facilities were randomly recruited. Of those, all 47 villages within each of the four health care facilities were selected to be part of the study setting. The targeted settings were screened using the Health Data Center (HDC), the health information database that collects data from the community and hospitals in Thailand. In the HDC, we recruited families according to the following criteria; families with a child aged 1–5 years, where the parent does not smoke, with a smoker in their home. The baseline characteristics and smoking behavior was collected by trained research teams using self-administered questionnaire at participant’s home. The trained research teams interviewed a parent of children or a child about their smoke-free home status, exposure to secondhand smoke, THS risk perception, and smoking behavior in the home. If the eligibility criteria (healthy child aged 1–5 years, the parent is a non-smoker, and a smoker smoked in their home) were met, they were invited to the intervention study. In total, we screened 336 households. Of those, 305 were included in the intervention study. In this cross-sectional study, we use the screening data of 336 participants to explore the parental risk perceptions of child exposure to thirdhand smoke.

Measurements

The outcome, PRPCETS, was assessed by asking the parent of children the question “Are you aware that breathing in a room that has had someone smoking in it previously, can affect the health of babies and children?” The response to the question was ranked from 1 to 4 (1: absolutely disagree, 2: disagree, 3: agree, 4: absolutely agree). We divided the answers into ‘Agree’ (which included; 3: agree and 4: absolutely agree) and ‘Disagree’ (which included 1: absolutely disagree, 2: disagree).

We also collected demographic data as follows; age in years, gender, duration of school attendance in years, occupation, marital status, income (Thai Baht, THB/month), number of smokers in the home, number of children in the home (under five years), and co-use of smoking and drinking alcohol. The age of the children’s parents was categorized as 18–40 years, 40–50 years, and >50 years. Duration of school attendance was categorized as 0–6 years, and >6 years. Occupation was categorized as agricultural, merchant, government officer, and no job. Marital status was categorized as married and divorced/other. Income (THB) was assessed and categorized as <10000THB/month, and ≥10000THB/month. Data on the number of smokers in the home was also collected and categorized as one person and ≥2 persons. Number of children in the home aged one to five years was categorized as one person and ≥2 persons. In addition, co-use of drinking alcohol in the home was assessed by a sequence of two questions; “In the past 1 month, has there been alcohol drinking in the home?” Reponses were no or yes. If they answered yes, they were asked “During alcohol drinking, was there smoking?”. The answers were ‘yes, every time’, ‘yes, sometimes’, and ‘no, not at all’. We categorized this variable as alcohol drinking but no smoking (when they answered yes to alcohol drinking but reported no smoking at all), co-use (alcohol drinking and smoking), and no (no alcohol drinking).

Statistical methods

All factors were presented as frequencies and percentages. For univariate analysis, we tested the association between factors and PRPCETS using the chi-square statistic. We also used multiple logistics regression in the multivariate analysis, and the final model was adjusted for candidate confounder factors. All statistics were performed in R version 3.6.17 and epiDisplay version 3.5.0.1 package8.

Results

The overall prevalence of ‘Disagree’ answers to the PRPCETS question was 22.02% (95% CI: 17.59%, 26.45%). Of 336 participants included and analyzed in this study, 60.4% were aged 18–40 years, 92.3% were female parents, 77.1% worked in agriculture, 79.2% were married, and 67.3% had one person smoking at home9. Regarding the number of children in the home, 82.7% had ≥2 children, and 53.6% reported that tobacco was smoked during alcohol drinking in the home. We compared the distribution of the prevalence of PRPCETS for each factor. There was a statistically significant difference between factors and PRPCETS as follows; age (p value: 0.012), the number of years of school attendance (p value: 0.009), occupation (p value: 0.002), and the number of smokers in the home (p value: <0.001). Table 1 shows the results of the univariable analysis and prevalence distribution among factors.

Table 1. Characteristics of the participants.

VariablesTotal
(n=336)
Disagree to harms
THS exposure
(n=74)
Agree to harms
THS exposure
(n=262)
P value
Age (years)
        18-40
        40-50
        >50

203 (60.4)
78 (23.2)
55 (16.4)

36 (48.6)
18 (24.3)
20 (27.0)

167 (63.7)
60 (22.9)
35 (13.4)
0.012


Gender
        Female
        Male

310 (92.3)
26 (7.7)

244 (93.1)
18 (6.9)

66 (89.2)
8 (10.8)
0.263


Duration of school attendance (years)
        0-6
        >6

140 (41.7)
196 (58.3)

21 (28.4)
53 (71.6)

119 (45.4)
143 (54.6)
0.009


Occupation
        Agricultural
        Merchant
        Government officer
        No job

259 (77.1)
63 (18.8)
6 (1.8)
8 (2.4)

62 (83.8)
6 (8.1)
1 (1.4)
5 (6.8)

197 (75.2)
57 (21.8)
5 (1.9)
3 (1.1)
0.002



Marital status
        Married
        Divorced/Other

266 (79.2)
70 (20.8)

56 (75.7)
18 (24.3)

210 (80.2)
52 (19.8)
0.402


Income (Thai Baht)
        <10000
        ≥10000

161 (47.9)
175 (52.1)

35 (47.3)
39 (52.7)

126 (48.1)
136 (51.9)
0.904


Number of smokers in the home
        1
        ≥2

226 (67.3
110 (32.7)

38 (51.4)
36 (48.6)

188 (71.8)
74 (28.2)
< 0.001


Number of children in the home (under
5 years)
        1
        ≥2

278 (82.7)
58 (17.3)

61 (82.4)
13 (17.6)

217 (82.8)
45 (17.2)
0.937


Concurrent alcohol and smoking (co-use)
        No
        Alcohol drinking but no smoking
        Both alcohol drinking and smoking

139 (41.4)
17 (5.1)
180 (53.6)

23 (31.1)
4 (5.4)
47 (63.5)

116 (44.3)
13 (5)
133 (50.8)
0.122


In Table 2, results of the multiple logistic regression analysis is shown after adjustment for potential confounders. The group aged over 50 years had an increased risk of disagreement with the PRPCETS question (OR: 2.15; 95%CI: 1.05,4.41). Parents who had attended a school for more than six years had an increased risk of disagreeing with the PRPCETS question (OR: 2.08; 95%CI: 1.07, 4.08). Being unemployed (OR: 6.98; 95% CI, 1.41,34.71) was positively associated with disagreement with the PRPCETS question. In addition, having ≥2 smokers in the home (OR: 2.48; 95%CI: 1.41, 4.36) was positively associated with disagreement with the PRPCETS question.

Table 2. The multiple logistic regression results of the related factors to parental risk perception to the harms of thirdhand smoke exposure.

FactorsCrude OR (95%CI)Adjusted OR (95%CI)
Age (years)
        18–40
        40–50
        >50

1
1.39 (0.74, 2.63)
2.65 (1.37, 5.11)

1
1.04 (0.52, 2.08)
2.15 (1.05, 4.41)
Duration of school attendance (years)
        > 6
        ≤ 6

1
2.10 (1.20, 3.68)

1
2.08 (1.07, 4.08)
Occupation
        Agricultural
        Merchant
        Government officer
        No job

1
0.33 (0.14, 0.81)
0.64 (0.07, 5.54)
5.30 (1.23, 22.79)

1
0.50 (0.19, 1.26)
1.08 (0.11, 10.44)
6.98 (1.41, 34.71)
Number of smokers in the home
        1
        ≥2

1
2.41 (1.42, 4.09)

1
2.48 (1.41, 4.36)

Discussion

Our results show the association between age, the number of years school attendance, occupation status, the number of smokers in the home and PRPCETS. However, statistical significance was not observed for gender, marital status, income per month, the number of children in home, and concurrent smoking and drinking in home.

PRPCETS was correlated with the age of parents. Our results show that older parents tended to disagree with the statement that THS might be harmful to children. This effect might be because older parents have received little information on the harms of THS exposure. In addition, the major tobacco control strategies included little information on THS exposure in the promotion of tobacco control10.

Several studies show that high education level might protect against exposure to second-hand smoking1113, but there is little evidence to support this. Our results reveal that a high level of education protected against disagreement with the PRPCETS question. Parents who had the opportunity to study at a high level at school who were exposed to tobacco control campaigns at school or on the internet, radio, or television1416 might have increased knowledge of or more positive attitudes towards the risk of THS exposure.

Occupation status is one of socioeconomic factors that is associated with tobacco control research17. Our analysis showed that parents who have no job tended to disagree with the statement concerning the harms of THS exposure to their children. The effect described, usually, the parents who stayed at home to look after their child or children and had no job.

In households with smokers, our results show that households with more than one smoker were at greater risk of parents who disagreed with the PRPCETS question. Home is a one place that THS occurs because people have previously smoked inside1820. Our hypothesis is that in households that have many smokers and have children, there is a chance that a smoker smoked in their home or close to home such as by a wall or door. When this event has occurred frequently, parents might think that THS is not an important matter when they cannot smell tobacco smoke.

Our study has several limitations. Our analysis used the data from a smokefree home intervention project that was carried out in the northeast of Thailand. Therefore, the prevalence observed might not represent parents with a child or children aged under five years in the rest of the country. In addition, our questionnaire did not assess parent’s knowledge of and attitude towards the harms of THS exposure. This measurement might impact the risk perception of harms of THS exposure. The strength of the study is that this might be the first study in Thailand to investigate the factors related to parental risk perception concerning the harms of child THS exposure.

Conclusion

Results show the factors related to parental risk perception of child harm from THS exposure as follows; aged more than 50 years, duration of school attendance less than six years, having no job, and having many smokers in the home (≥2 persons). Further studies should investigate parents’ knowledge of and attitude towards THS exposure.

Data availability

Underlying data

Harvard Dataverse: thirdhand smoke parental risk perception: https://doi.org/10.7910/DVN/N188CL9

Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).

Comments on this article Comments (0)

Version 1
VERSION 1 PUBLISHED 21 Aug 2020
Comment
Author details Author details
Competing interests
Grant information
Copyright
Download
 
Export To
metrics
Views Downloads
F1000Research - -
PubMed Central
Data from PMC are received and updated monthly.
- -
Citations
CITE
how to cite this article
Intarut N. Parental risk perceptions of child exposure to thirdhand smoke and related factors [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2020, 9:1016 (https://doi.org/10.12688/f1000research.25521.1)
NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.
track
receive updates on this article
Track an article to receive email alerts on any updates to this article.

Open Peer Review

Current Reviewer Status: ?
Key to Reviewer Statuses VIEW
ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
Version 1
VERSION 1
PUBLISHED 21 Aug 2020
Views
7
Cite
Reviewer Report 03 Feb 2023
Varduhi Hayrumyan, Turpanjian College of Health Sciences, American University of Armenia, Yerevan, Armenia 
Zaruhi Grigoryan, Turpanjian College of Health Sciences, American University of Armenia, Yerevan, Armenia 
Approved with Reservations
VIEWS 7
Comments
Introduction
  1. The introduction should include information on the topic of research in the study setting (Thailand): smoking as a public health issue, second-hand smoke exposure in general and particularly in private settings such as
... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Hayrumyan V and Grigoryan Z. Reviewer Report For: Parental risk perceptions of child exposure to thirdhand smoke and related factors [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2020, 9:1016 (https://doi.org/10.5256/f1000research.28165.r159878)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
Views
19
Cite
Reviewer Report 01 Sep 2020
Supot Kamsa-ard, Department of Epidemiology and Biostatistics, Faculty of Public Health, ASEAN Cancer Epidemiology and Prevention Research Group, Khon Kaen University, Khon Kaen, Thailand 
Approved
VIEWS 19
Entitled: Parental risk perceptions of child exposure to thirdhand smoke and related factors
 
Reviewer comments:
Minor comments: 
  1. Measurement section
    Paragraph 2: Please give more information for a variable as Duration
... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Kamsa-ard S. Reviewer Report For: Parental risk perceptions of child exposure to thirdhand smoke and related factors [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2020, 9:1016 (https://doi.org/10.5256/f1000research.28165.r70190)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.

Comments on this article Comments (0)

Version 1
VERSION 1 PUBLISHED 21 Aug 2020
Comment
Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
Sign In
If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password.

The email address should be the one you originally registered with F1000.

Email address not valid, please try again

You registered with F1000 via Google, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Google account password, please click here.

You registered with F1000 via Facebook, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Facebook account password, please click here.

Code not correct, please try again
Email us for further assistance.
Server error, please try again.