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Original Article
Secondhand smoke exposure and mental health problems in Korean adults
Na Hyun Kim1orcid, Hansol Choi1,2orcid, Na Rae Kim1,2orcid, Jee-Seon Shim2orcid, Hyeon Chang Kim2,3orcid
Epidemiol Health 2016;38:e2016009.
DOI: https://doi.org/10.4178/epih.e2016009
Published online: March 14, 2016

1Department of Public Health, Yonsei University Graduate School, Seoul, Korea

2Cardiovascular and Metabolic Diseases Etiology Research Center, Yonsei University College of Medicine, Seoul, Korea

3Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea

Correspondence: Hyeon Chang Kim  Department of Preventive Medicine, Yonsei University College of Medicine, 50-1Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea  Tel: +82-2-2228-1873, Fax: +82-2-392-8133, E-mail: hckim@yuhs.ac
• Received: December 21, 2015   • Accepted: March 14, 2016

©2016, Korean Society of Epidemiology

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • OBJECTIVES:
    To evaluate the association between secondhand smoke exposure (SHSE) and mental health problems among Korean adults.
  • METHODS:
    We analyzed data from the 2011 Korean Community Health Survey. From the total of 229,226 participants aged 19 years or above, we excluded 48,679 current smokers, 36,612 former smokers, 3,036 participants with a history of stroke, 2,264 participants with a history of myocardial infarction, 14,115 participants who experienced at least one day in bed per month due to disability, and 855 participants for whom information regarding SHSE or mental health problems was not available. The final analysis was performed with 22,818 men and 100,847 women. Participants were classified into four groups according to the duration of SHSE: none, <1 hr/d, 1-<3 hr/d, and ≥3 hr/d. The presence of depressive symptoms, diagnosed depression, and high stress were measured by questionnaire.
  • RESULTS:
    After adjusting for demographic factors, lifestyle, and chronic disease, the odds ratio (OR) and 95% confidence interval (CI) of depressive symptoms with 1-<3 hr/d and ≥3 hr/d SHSE were 1.44 (95% CI, 1.14 to 1.82) and 1.59 (95% CI, 1.46 to 1.74), respectively. However, SHSE ≥3 hr/d had a higher OR of 1.37 (95% CI, 1.20 to 1.58) for diagnosed depression. SHSE was also associated with high stress (1-<3 hr/d: OR, 1.56; 95% CI, 1.38 to 1.76; ≥3 hr/d: OR, 1.33 95% CI, 1.28 to 1.40). However, the association between SHSE and symptoms of depression and stress did not differ significantly by region.
  • CONCLUSIONS:
    SHSE may be associated with mental health problems such as depression and stress in Korean adults.
Around 58 million non-smokers are exposed to secondhand smoke, according to the Centers for Disease Control and Prevention (CDC) [1], and even a low level of secondhand smoke exposure (SHSE) causes significant health problems [2]. SHSE is associated with inflammation and cardiovascular disease [3,4]. There is also evidence for a detrimental effect of SHSE on mental health in adults [5-9], although some studies do not support this [10,11]. Mental illness of extended duration or moderate or severe intensity leads to significant morbidity and reduced daily function, and may be associated with suicide, the incidence of which is increasing in Korea.
The purpose of the present study was to explore the association between SHSE and symptoms of depression and stress in Korean adults who had never been cigarette smokers themselves, using data from the Korean Community Health Survey (KCHS). Our previous studies have reported a positive association between SHSE and mental health problems; however, these studies focused only on depression [12,13]. In the present study, we hypothesized that SHSE was associated with mental health problems including depressive symptoms, diagnosed depression, and high stress.
Study population
This study is a cross-sectional analysis from the 2011 KCHS organized by the Korea Centers for Disease Control and Prevention (KCDC). The survey enrolled 229,226 adults aged 19 or older from August to October 2011. From the total 229,226 participants aged 19 years or above, we excluded 48,679 current smokers, 36,612 former smokers, 3,036 participants with a history of stroke, 2,264 participants with a history of myocardial infarction, 14,115 participants who experienced at least one day in bed per month due to disability [14], and 855 participants for whom information regarding SHSE or mental health problems was not available. The final analysis was performed with 22,818 men and 100,847 women. This study was approved by the institutional review board (IRB) of KCDC (IRB no. 2011- 05CON-04-C).
Measurements
A representative population sample for the KCHS is selected annually based on nationwide address data from the Ministry of Public Administration and Security and on data on housing types and the number of households from the Ministry of Land, Transport and Maritime Affairs. Sample households were extracted from these data with the aim of surveying an average of 900 individuals for each health center [15]. The operating committee, specialized subcommittees, and administration office that conducted the survey were formed through a partnership among the KCDC, 16 cities and provinces, 253 health centers, and 36 universities [15,16].
Participants were individually interviewed in their own household by trained interviewers, who conducted one-on-one surveys using a laptop computer. Information was collected about sociodemographic characteristics, health behaviors, and history of chronic disease. Height and weight were measured, and body mass index (BMI) was calculated as weight in kilograms divided by the square of height in meters. Marital status was categorized into three groups: never married, married, and divorced/separated/widowed. Education level was divided into three groups: middle school or lower, high school, and college or higher. Occupation was categorized into four groups: experts, clerical/services roles, simple skilled roles, and unemployed/homemaker. Monthly income was divided into quartiles: <1.0 million Korean won (KRW), 1.0 -<2.5 million KRW, 2.5 -<4.0 million KRW, and ≥4.0 million KRW. Exercise was described as those who did severe exercise ≥20 minutes for ≥3 times per week, or those who did moderate exercise ≥30 minutes at least once per week. Regular alcohol consumption was defined as more than five glasses of alcohol for two days per week. A history of hypertension, diabetes, or dyslipidemia was classified as the presence of chronic disease. Sleep time was determined in terms of the number of hours slept each day. SHSE was categorized into four groups: none, <1 hr/d, 1-<3 hr/d, and ≥3 hr/d.
Assessment of symptoms of mental illness
The presence of depressive symptoms were assessed using the question “Have you felt little pleasure or hopeless continuously for over two weeks during the past year, and did this impact on your everyday life?”. The presence of diagnosed depression was assessed using the question “Have you ever been diagnosed with depression by a doctor?”. Perceived stress was measured by asking participants about whether they experienced a level of stress in daily life that was minimal to mild (low stress) or moderate to severe (high stress).
Statistical analysis
General characteristics were described for a total of 123,665 participants using an independent t-test and a chi-square test. SHSE and other variables were compared between participants with depressive symptoms, diagnosed depression, or high stress and those without these conditions using an ANOVA and a chi-square test. The association between SHSE and mental health problems was assessed using logistic regression models adjusted for age, gender, BMI, marital status, education level, occupation, monthly income, exercise, regular alcohol consumption, and history of chronic disease. We performed a subgroup analysis to assess whether sociodemographic factors modified the association between SHSE and mental health problems.
We estimated the mean, prevalence, and odds ratio (OR) using sampling weights. Statistical analyses were performed using the PROC SURVEY procedure in SAS version 9.4 (SAS Institute Inc., Cary, NC, USA). All analyses were two-sided and p-values less than 0.05 were regarded as statistically significant.
General characteristics are shown by gender in Table 1. The mean age was significantly higher in women, and the mean BMI was significantly higher in men. Men were more likely to have a higher education level and monthly income, be employed, and to perform regular exercise and be a regular alcohol drinker than women. Women had a higher prevalence of chronic disease than men and a higher prevalence of SHSE (61.2%), depressive symptoms (5.5%), diagnosed depression (2.6%), and high stress (25.7%) than men.
Table 2 presents the prevalence of depressive symptoms, diagnosed depression, and high stress according to participant characteristics. The prevalence of depressive symptoms and diagnosed depression were higher in participants aged 60 to 69 years, divorced/separated/widowed, educated to the level of middle school or lower, and those who were unemployed or homemakers. The prevalence of high stress was higher in participants aged 30 to 39 years, were never married, educated to a college level or higher, and worked as experts or in a clerical/services role. Participants with a low monthly income were more likely to have mental health problems. Participants experiencing SHSE of ≥3 hr/d had a higher prevalence of depressive symptoms (6.2%), while those with SHSE of <1 hr/d were more likely to have diagnosed depression (3.0%). Meanwhile, participants with SHSE of 1-<3 hr/d had a prevalence of high stress (33.9%).
Figure 1 shows that the regional prevalence of SHSE ranged from 49.3% (Jeju) to 70.4% (Ulsan). The prevalence of depressive symptoms ranged from 2.7% (Jeonnam) to 6.2% (Seoul), while the prevalence of diagnosed depression ranged from 1.6% (Jeonbuk) to 3.2% (Jeju). The prevalence of high stress ranged from 19.6% (Jeonnam) to 27.6% (Incheon).
Table 3 describes the association between SHSE and mental health problems in all participants, adjusting for covariates. Compared to participants with no SHSE, those with 1-<3 hr/d SHSE or SHSE of ≥3 hr/d had a higher OR and 95% confidence interval (CI) for depressive symptoms 1.44 (95% CI, 1.14 to 1.82) and 1.59 (95% CI, 1.46 to 1.74), respectively. Participants with SHSE of ≥3 hr/d had an OR of 1.37 (95% CI, 1.20 to 1.58) for diagnosed depression. SHSE was also associated with high stress (1-<3 hr/d: OR, 1.56; 95% CI, 1.38 to 1.76; ≥3 hr/d: OR, 1.33; 95% CI, 1.28 to 1.40). In men, SHSE of 1-<3 hr/d or ≥3 hr/d was significantly associated with depressive symptoms and high stress. In women, SHSE of 1-<3 hr/d or ≥3 hr/d was significantly associated with depressive symptoms and high stress, and women with SHSE ≥3 hr/d had significantly higher odds of diagnosed depression.
We performed a subgroup analysis to assess whether sociodemographic factors modify the association between SHSE and mental health problems. SHSE was associated with marital status, income, education and occupation (Appendix 1). Diagnosed depression was related to income, education, and occupation (Appendix 2), and high stress was associated with marital status, income, education, occupation, and drinking (Appendix 3). Thus, we evaluated the association between SHSE and mental health problems according to these sociodemographic factors (Figure 2).
The association between SHSE and depression was higher in the higher educated group than less educated group (interaction p-value=0.008).
The association between SHSE and high stress was significantly different according to income status and occupation. The association was higher in the two lower income groups (<2.5 million KRW/mo) than the two higher income groups (≥2.5 million KRW/mo).
In the occupational group of clerical/services roles, the OR of high stress with SHSE was higher than in the other occupational groups (data not shown). To facilitate clear interpretation of this interaction, we re-categorized occupation into two groups: clerical/services roles, and other roles (experts, simple skilled roles, and unemployed or homemakers). The relationship between SHSE and high stress was significantly higher in the new clerical/services roles group than the group of other roles.
Regular alcohol consumption was not independently associated with SHSE or diagnosed depression, and did not affect the association between SHSE and mental health problems (data not shown). As performing further analysis, we found that former and current smokers had higher odds of mental health problems compared to non-smokers (Appendix 4).
We observed a positive association between SHSE and depressive symptoms, diagnosed depression, and high stress in a representative sample of Korean adults. Of note, participants with SHSE of more than three hours had higher odds of these mental health problems compared to those with no SHSE. Men with SHSE of less than an hour or more than three hours had higher odds for depressive symptoms and high stress. However, women with more frequent SHSE mostly had higher odds of the mental health problems examined.
To the best of our knowledge, this is the first report on the association between SHSE and mental health problems in Korean adults, although our previous studies reported the association of SHSE with depression [12,13]
Several studies have reported a positive association between SHSE and detrimental effects on mental health. A previous study reported that SHSE, assessed by an objective method, was associated in a dose-dependent manner with psychological distress and risk of future psychiatric illness in a Scottish adult population [5]. Another study based on the US National Health and Nutrition Examination Survey found that SHSE was positively associated with depressive symptoms after adjusting for age, ethnicity, gender, education, and chronic diseases [6]. A recent study also observed that children exposed to secondhand smoke in utero and in childhood had an increased risk of depression in midlife, even after adjusting for direct and indirect exposure to tobacco smoke in adulthood [8]. Another US study reported that persistent SHSE was associated with an increased risk of depression and panic attacks [9]. However, some studies have demonstrated a negative association between SHSE and mental health. SHSE was not associated with depression or mental health in the UK Health and Lifestyle Survey [11], and another study also found no association of SHSE with depression and anxiety in data combined from the Netherlands Study of Depression and Anxiety and the Netherlands Twin Register [10].
There are several possible explanations for the association of SHSE with symptoms of depression and stress among adults. First, secondhand smoke itself can be a chronic stressor for non-smokers, leading to worsening mental health [17].
Second, there are several plausible biological mechanisms that may explain the association. The dopaminergic system is involved in the pathogenesis of several mental illnesses, including depression [18], and several animal studies suggest that tobacco smoke has acute and long-term effects on the dopamine system. Exposure to tobacco smoke has been reported to elevate dopamine D1 and D2 receptors [19] and alter the expression of gamma-aminobutyric acid B2 receptors, dopamine transporter messenger RNA, and dopamine receptors in the rat brain [20]. Other animal studies indicate that nicotine and tobacco particulate matter influences long-term imbalances of dopamine transport [21], and most importantly that nicotine exposure induces negative mood and decreased mobility in rats [22].
Another biological mechanism that may link SHSE to mental illness is chronic inflammation [23,24]. Many studies have proposed that the activation of inflammatory cytokines plays a role in mental illnesses [25]. Cytokines induce the enzyme indoleamine 2,3-dioxygenase, which limits tryptophan and serotonin transporters and may thus cause depression [26].
Even though smoke-free legislation has contributed to a successful decline in SHSE, around 10% to 15% of adults continue to be exposed to secondhand smoke at home or workplace [27]. Mental illness imposes an important economic burden, not just on individuals but also on families and communities [28]. Therefore, modifying potential risk factors, for example by monitoring the exposure to secondhand smoke, could not only mitigate the impact of the recession on deaths and injuries arising from suicide, but also reduce economic burden [10].
The present study has several limitations. First, as a cross-sectional study in which all information was gathered at the same point in time, it cannot establish a temporal relationship between SHSE and mental health problems. Second, our use of an interviewer-assisted questionnaire has a limited potential for validation. Therefore, the misclassification bias in measuring SHSE and mental health problems, if any, is likely to be a non-differential reduction of the association. Third, data on other household members who smoked or on sleep quality were not available in KCHS, but may be potential factors that could influence our data. According to previous studies, living with household members who are smokers could be related to SHSE [29], and sleep quality could be closely associated with mental illness [30].
Lastly, our data included only permanent residents of Korea; therefore, our results may not be generalizable to other countries.
In conclusion, our results suggest that SHSE is associated with depressive symptoms, diagnosed depression, and high stress in a dose-dependent manner among Korean adults, regardless of not only the exposure location but also the region. Since we used a large nationwide representative sample, our findings may be generalizable to the general Korean population. We also observed that sociodemographic factors such as household income and occupation might modify the association between SHSE and mental health problems. Further studies are needed to confirm the causal effects of SHSE on the development and aggravation of mental health problems, and to identify the underlying biological mechanisms.

The authors have no conflicts of interest to declare for this study.

Figure 1.
Prevalence of the secondhand smoke exposure (A) and mental health problems (B: depressive symptom, C: diagnosed depression, and D: high perceived stress) by region.
epih-38-e2016009f1.gif
Figure 2.
Figure captionAssociation between secondhand smoke exposure (SHSE) and mental health problems (A: diagnosed depression, B: high stress) by sociodemographic factors. Odds ratio and 95% confidence interval adjusted for age, gender, body mass index, marital status, education level, occupation, income, regular exercise, alcohol drinking, hypertension, diabetes, dyslipidemia, sleep time. SHSE was divided into two groups; no SHSE (reference) and SHSE.
epih-38-e2016009f2.gif
Table 1.
Basic characteristics by gender (n = 123,665)
Variables Men (n = 22,818) Women (n = 100,847) p-value
Age (yr) 45.7±17.6 49.8±16.3 < 0.001
Body mass index (kg/m2) 23.6±2.9 22.5±3.1 < 0.001
Sleep time (hr) 6.65 ±1.1 6.66±1.2 < 0.001
Age (yr) < 0.001
 19-29 5,460 (36.9) 12,201 (18.3)
 30-39 3,832 (19.1) 17,552 (20.7)
 40-49 4,030 (17.3) 20,681 (22.6)
 50-59 3,778 (13.9) 21,098 (19.2)
 60-69 3,098 (7.4) 15,491 (11.0)
 ≥70 2,620 (5.4) 13,824 (8.2)
Marital status < 0.001
 Never married 6,907 (42.9) 12,504 (18.2)
 Married 14,676 (53.4) 68,609 (66.2)
 Divorced/separated/widowed 1,219 (3.7) 19,663 (15.6)
Education < 0.001
 Middle school or lower 5,289 (11.9) 42,440 (28.3)
 High school 10,909 (53.1) 42,823 (49.8)
 College or higher 6,620 (35.0) 15,584 (22.0)
Occupation < 0.001
 Experts 3,687 (19.7) 9,561 (12.5)
 Clerical/services roles 4,799 (23.9) 22,262 (24.2)
 Simple skilled roles 8,052 (24.7) 21,008 (13.5)
 Unemployed or housekeeper 6,236 (31.6) 47,924 (49.8)
Monthly income (106 Korean won) < 0.001
 <1.0 5,939 (19.8) 30,838 (23.0)
 1.0 -<2.5 6,354 (25.3) 27,417 (25.7)
 2.5 -<4.0 5,329 (27.1) 22,446 (26.2)
 ≥ 4.0 5,196 (27.9) 20,146 (25.1)
Regular exercise 5,779 (22.1) 21,139 (17.8) < 0.001
Regular alcohol drinker 2,759 (11.9) 2,905 (3.3) < 0.001
Hypertension 3,436 (10.2) 19,476 (14.1) < 0.001
Diabetes 1,326 (3.7) 6,084 (4.5) < 0.001
Dyslipidemia 579 (2.0) 4,853 (4.4) < 0.001
Secondhand smoke (hr/d) < 0.001
 None 12,484 (48.1) 42,417 (38.7)
 <1 4,537 (23.3) 36,999 (39.2)
 1-<3 400 (2.0) 1,667 (1.6)
 ≥ 3 5,397 (26.6) 19,764 (20.4)
Depressive symptoms < 0.001
 No 22,319 (97.6) 95,775 (94.5)
 Yes 493 (2.4) 5,030 (5.5)
Diagnosed depression < 0.001
 No 22,603 (99.2) 97,964 (97.4)
 Yes 210 (0.8) 2,857 (2.6)
Perceived stress < 0.001
 Minimal 5,119 (18.6) 19,372 (16.7)
 Mild 13,042 (58.8) 56,464 (57.6)
 Moderate 4,212 (20.5) 22,346 (22.9)
 Severe 431 (2.2) 2,583 (2.8)

Values are presented as mean±standard deviation or number (%).

Table 2.
Prevalence of mental health problems according to participant characteristics
Characteristics Depressive symptoms
Diagnosed depression
High stress
No. of participants No. with depressive symptoms Prevalence (95% Cl) No. of participants No. with diagnosed depression Prevalence (95% Cl) No. of participants No. with high stress Prevalence (95% Cl)
Gender
 Men 22,812 493 2.4 (2.2, 2.7) 22,813 210 0.8 (0.7,1.0) 22,804 4,643 22.7 (22.0, 23.4)
 Women 100,805 5,030 5.5 (5.3, 5.7) 100,821 2,857 2.6 (2.5, 2.7) 100,765 24,929 25.7(25.3, 26.1)
Age (yr)
 19-29 17,657 715 4.2 (3.9, 4.6) 17,654 183 1.1 (0.9, 1.3) 17,656 4,483 26.0 (25.2, 26.7)
 30-39 21,373 874 4.2 (3.9, 4.5) 21,380 303 1.4(1.2, 1.6) 21,377 5,721 27.0 (26.3, 27.7)
 40-49 24,705 1,048 4.6 (4.3, 5.0) 24,709 476 1.7(16, 1.9) 24,705 6,136 25.9 (25.2, 26.5)
 50-59 24,873 1,194 5.3 (5.0, 5.7) 24,870 838 3.2 (2.9, 3.5) 24,869 5,794 23.3 (22.6, 24.0)
 60-69 18,583 959 6.5 (6.0, 7.0) 18,586 767 4.4 (4.1, 4.8) 18,582 4,214 23.5 (22.7, 24.3)
 ≥70 16,426 733 5.3 (4.9, 5.8) 16,435 500 3.7 (3.2, 4.1) 16,380 3,224 20.5(19.8, 21.3)
Marriage
 Never married 19,408 773 4.1 (3.8, 4.4) 19,404 231 1.2(10, 1.3) 19,404 4,971 26.3(25.6, 27.1)
 Married 83,257 3,441 4.6 (4.4, 4.8) 83,273 2,091 2.3 (2.1, 2.4) 83,261 19,900 24.6 (24.2, 25.0)
 Divorced/separated/widowed 20,866 1,302 7.2 (6.7, 7.6) 20,871 740 3.8 (3.5, 4.2) 20,819 4,676 24.5 (23.7, 25.3)
Education
 Middle school or lower 47,703 2,446 6.3 (6.0, 6.7) 47,710 1,836 4.2 (4.0, 4.5) 47,652 11,134 24.9 (24.4, 25.5)
 High school 53,716 2,284 4.6 (4.4, 4.8) 53,721 980 1.7(16, 1.9) 53,718 12,935 24.7 (24.3, 25.2)
 College or higher 22,198 793 3.8 (3.5, 4.1) 22,203 251 1.2(10, 1.3) 22,199 5,503 25.7 (25.0, 26.4)
Occupation
 Experts 13,245 445 3.5 (3.1, 3.9) 13,248 137 1.1 (0.9, 1.3) 13,248 3,679 29.2(28.3, 30.1)
 Clerical/services roles 27,054 1,099 4.5 (4.2, 4.8) 27,058 443 1.4(12, 1.6) 27,056 7,754 29.3 (28.6, 29.9)
 Simple skilled roles 29,052 1,084 4.2 (3.9, 4.5) 29,053 683 2.1 (1.9, 2.3) 29,049 6,506 23.8(23.1, 24.4)
 Unemployed or housekeeper 54,134 2,888 5.6 (5.4, 5.9) 54,140 1,803 3.0 (2.8, 3.2) 54,084 11,608 21.9(21.4, 22.4)
Monthly income (106 Korean won)
 <1.0 36,759 2,003 6.2 (5.9, 6.6) 36,757 1,322 3.4 (3.2, 3.7) 36,720 8,984 26.4 (25.7, 27.0)
 1.0-<2.5 33,759 1,612 5.5 (5.2, 5.8) 33,765 863 2.6 (2.3, 2.8) 33,749 8,181 26.1 (25.5, 26.7)
 2.5-<4.0 27,765 1,047 4.2 (3.9, 4.5) 27,771 471 1.5(13, 1.7) 27,769 6,486 23.7(23.1, 24.3)
 ≥ 4.0 25,334 861 3.6 (3.3, 3.9) 25,341 411 1.5(13, 1.7) 25,331 5,921 24.0 (23.4, 24.7)
Secondhand smoke exposure (hr/d)
 None 54,883 1,879 3.7 (3.5, 3.9) 54,886 1,049 1.5(14, 1.6) 54,868 12,699 24.9 (24.4, 25.4)
 <1 41,522 2,117 5.2 (4.9, 5.5) 41,526 1,360 3.0 (2.8, 3.2) 41,486 8,794 21.6(21.1, 22.1)
 1-<3 2,066 125 5.7 (5.0, 6.4) 2,066 60 1.9(15, 2.3) 2,067 701 33.9(32.1, 35.7)
 ≥ 3 25,146 1,402 6.2 (5.8, 6.5) 25,156 598 2.2 (2.0, 2.5) 25,148 7,378 30.1 (29.4, 30.8)
Table 3.
Association between SHSE and mental health problems in all participants
SHSE (hr/d) Total Depressive symptoms Diagnosed depression High stress
n (%) OR (95% CI) n (%) OR (95% CI) n (%) OR (95% CI)
All participants
 None 54,883 1,879 (3.7) 1.00 1,049 (1.5) 1.00 12,699 (24.9) 1.00
 <1 41,522 2,117 (5.2) 0.99 (0.88, 1.11) 1,360 (3.0) 1.15 (0.99, 1.34) 8,794 (21.6) 1.04 (0.98, 1.11)
 1-<3 2,066 125 (5.7) 1.44 (1.14, 1.82) 60 (1.9) 1.11 (0.80, 1.54) 701 (33.9) 1.56 (1.38, 1.76)
 ≥ 3 25,146 1,402 (6.2) 1.59 (1.46, 1.74) 598 (2.2) 1.37 (1.20, 1.58) 7,378 (30.1) 1.33 (1.28, 1.40)
Men
None 12,482 197 (1.7) 1.00 97 (0.7) 1.00 2,407 (21.9) 1.00
 <1 4,537 126 (2.8) 0.99 (0.66, 1.48) 71 (1.4) 1.00 (0.52, 1.92) 748 (18.2) 1.06 (0.91, 1.25)
 1-<3 399 14 (3.3) 2.01 (1.04, 3.86) 2 (0.6) 0.83 (0.19, 3.56) 118 (30.9) 1.59 (1.23, 2.04)
 ≥ 3 5,394 156 (3.2) 1.87 (1.43, 2.44) 40 (0.7) 1.06 (0.67, 1.69) 1,370 (27.4) 1.37 (1.25, 1.51)
Women
 None 42,401 1,682 (4.4) 1.00 952 (1.8) 1.00 10,292 (26.0) 1.00
 <1 36,985 1,991 (5.6) 0.98 (0.87, 1.11) 1,289 (3.2) 1.16 (1.00, 1.36) 8,046 (22.2) 1.05 (0.98, 1.12)
 1-<3 1,667 111 (6.5) 1.37 (1.07, 1.75) 58 (2.4) 1.14 (0.81, 1.59) 583 (35.0) 1.55 (1.35, 1.78)
 ≥ 3 19,752 1,246 (7.3) 1.56 (1.42, 1.72) 558 (2.8) 1.41 (1.22, 1.63) 6,008 (31.2) 1.32 (1.26, 1.39)

Adjusted for age, gender, body mass index, marital status, education level, occupation, monthly income, regular exercise, regular alcohol consumption, hypertension, diabetes, dyslipidemia, sleep time.

SHSE, secondhand smoke exposure; OR, odds ratio; CI, confidence interval.

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Appendix 1.
Factors associated with secondhand smoke exposure (SHSE)
epih-38-e2016009-app1.pdf
Appendix 2.
Factors associated with diagnosed depression
epih-38-e2016009-app2.pdf
Appendix 3.
Factors associated with high stress
epih-38-e2016009-app3.pdf
Appendix 4.
Association between smoking status and mental health problems in total participants
epih-38-e2016009-app4.pdf

Figure & Data

References

    Citations

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