Skip to main content

What is the association between secondhand smoke (SHS) and possible obstructive sleep apnea: a meta-analysis



Association between smoking and sleep apnea is well-known from previous studies. However, the influence of secondhand smoke (SHS), which is a potential risk factor of obstructive sleep apnea (OSA), remains unclear. Our aim was to investigate the relationship between SHS and OSA using a meta-analysis.

Materials and methods

For the meta-analysis, searches were performed in MEDLINE, EMBASE, and Web of Science databases on January 10, 2022, by combining various keywords including “SHS exposure” and “OSA”. Data were extracted using defined inclusion and exclusion criteria. Fixed-effects model meta-analyses were used to pool risk ratio (RR) estimates with their 95% confidence intervals (CI). I2 was used to assess heterogeneity. Moreover, we performed subgroup meta-analyses of children-adults, and smoker fathers and mothers.


In total, 267 articles were obtained through an electronic search. Twenty-six articles were included in our analysis according to the inclusion and exclusion criteria. We found evidence of an association between SHS exposure and possible OSA (RR 1.64, 95% CI 1.44–1.88). The results of the subgroup analyses showed that children passive smokers (RR 1.84, 95% CI 1.60–2.13) were at greater risks of possible OSA than adult passive smokers (RR 1.35, 95% CI 1.21–1.50). Also, significant differences were observed in mothers with smoking exposure (RR 2.61, 95% CI 1.62–4.21, p < 0.0001), as well as in fathers with smoking exposure (RR 2.15, 95% CI 0.98–4.72, p = 0.06).

Short conclusion.

Our meta-analysis confirmed that SHS exposure is significantly associated with OSA. In the subgroup analyses, the association of SHS and possible OSA was significant in both children and adults, as well as in smoker mothers and fathers.


1. This is a meta-analysis to evaluate the relationship between secondhand smoke (SHS) exposure and obstructive sleep apnea (OSA) in both adults and children.

2. Our meta-analysis revealed a significantly positive association between SHS exposure and possible OSA in children and adults.

3. Both smoking in mothers and fathers are associated with significantly higher risk of OSA in children.

Peer Review reports


Sleep apnea syndrome (SAS) is pathological breathing characterized by repetitive airflow cessation or reduction, causing intermittent hypoxemia or arousal during sleep. There are two major forms of SAS, the central sleep apnea (CSA) and obstructive sleep apnea (OSA); of these, OSA is the most common [1]. The prevalence rate of OSA in men and women is 27.3% and 22.5%, respectively [2]. OSA has multiple effects on various organ systems, including metabolic, neuropsychiatric, as well as cardiovascular systems. In the cardiovascular system, OSA shows effects on the occurrence of hypertension, coronary artery disease, stroke, heart failure, as well as arrhythmias [3]. The well-known pathogenesis of OSA is an abnormality of the upper airway and dysfunction of the local dilator muscles. Furthermore, some risk factors contributing to OSA include age, male sex, and obesity [4]. The most important is that OSA significantly increases all-cause mortality as well as cardiovascular mortality has been declared in several meta-analysis studies [5, 6].

Tobacco use is one of the important health hazards worldwide, contributing to more than 7 million deaths per year [7]. Among tobacco exposure, cigarette smoking is one of the most common. Thousands of chemicals and carcinogens enter the human body by inhaling cigarette smoke, causing several comorbidities, such as airway disorders, metabolic diseases, cardiovascular diseases, and various types of cancers [8].

Secondhand smoke (SHS), alternatively referred to as passive smoking, indicates the inhalation of particles produced from the combustion of tobacco smoked by another person. Compared with the mainstream tobacco smoke, higher concentrations of toxic components are reported in the undiluted side stream [9]. In non-smokers, diseases caused by SHS is a major concern, including in the pediatric population, and these are seldom active smokers [10, 11].

In an observational study, a strong association was reported between smoking and sleep apnea [12]. Włodarska et al. pointed out children exposed to SHS have higher risk of OSA [13], while Sogut et al. showed no significant association between SHS and OSA [14]. However, the association between SHS and OSA remains inconsistent, and the related literature is scarce. Therefore, our purpose was to determine the association between SHS and OSA using a meta-analysis.

Material and method

Protocol and registration

According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we carried out a systematic review and meta-analysis. This review protocol is registered at PROSPERO (registration number, CRD42020191098) and Kaohsiung Medical University Hospital Institutional Review Broad (KMUHIRB-EXEMPT(II)-20,220,004).

Data sources and search terms

MEDLINE (PubMed), Embase, and Web of Science databases were queried on January 10, 2022, for related studies. There were no limitations on the publication dates, besides, the target key words used to identify all the articles. Two researchers (C–C Yang and H-Y Cheng) performed a rudimentary search using different key words. The researchers separately proposed a set of key search words as follows: "Pollution, Tobacco Smoke" OR "Pollutions, Tobacco Smoke" OR "Smoke Pollution, Tobacco" OR "Smoke Pollutions, Tobacco" OR "Tobacco Smoke Pollutions" OR "Environmental Tobacco Smoke Pollution" OR "Environmental Smoke Pollution, Tobacco" OR "Air Pollution, Tobacco Smoke" OR "Environmental Pollution, Tobacco Smoke" OR "Smoking, Passive" OR "Passive Smokings" OR "Smokings, Passive" OR "Secondhand Smoking" OR "Secondhand Smokings" OR "Smoking, Secondhand" OR "Smokings, Secondhand" OR "Second Hand Smoke" OR "Hand Smoke, Second" OR "Hand Smokes, Second" OR "Second Hand Smokes" OR "Smoke, Second Hand" OR "Smokes, Second Hand" OR "Secondhand Smoke" OR "Secondhand Smokes" OR "Smoke, Secondhand" OR "Smokes, Secondhand" OR "Involuntary Smoking" OR "Involuntary Smokings" OR "Smoking, Involuntary" OR "Smokings, Involuntary" OR "Passive Smoking" OR "Tobacco Smoke Pollution"[Mesh] AND “Apnea Syndrome, Sleep” OR “Apnea Syndromes, Sleep” OR “Sleep Apnea Syndrome” OR “Sleep Hypopnea” OR “Hypopnea, Sleep” OR “Hypopneas, Sleep” OR “Sleep Hypopneas” OR “Apnea, Sleep” OR “Apneas, Sleep” OR “Sleep Apnea” OR “Sleep Apneas” OR “Sleep Apnea, Mixed Central and Obstructive” OR “Mixed Central and Obstructive Sleep Apnea” OR “Sleep Apnea, Mixed” OR “Mixed Sleep Apnea” OR “Mixed Sleep Apneas” OR “Sleep Apneas, Mixed” OR “Hypersomnia with Periodic Respiration” OR “Sleep-Disordered Breathing” OR “Breathing, Sleep-Disordered” OR “Sleep Disordered Breathing” OR “Apneas, Obstructive Sleep” OR “Obstructive Sleep Apneas” OR “Sleep Apneas, Obstructive” OR “Obstructive Sleep Apnea Syndrome” OR “Obstructive Sleep Apnea” OR “OSAHS” OR “Syndrome, Sleep Apnea, Obstructive” OR “Sleep Apnea Syndrome, Obstructive” OR “Apnea, Obstructive Sleep” OR “Sleep Apnea Hypopnea Syndrome” OR “Syndrome, Obstructive Sleep Apnea” OR “Upper Airway Resistance Sleep Apnea Syndrome” OR “Syndrome, Upper Airway Resistance, Sleep Apnea” OR “Snoring” OR "Sleep Apnea, Obstructive"[Mesh] OR "Sleep Apnea Syndromes"[Mesh]. The appropriate modified search methods were performed for EMBASE and Web of Science databases.

Eligibility criteria

Inclusion criteria of the study are: (1) exposure was SHS; and (2) based on questionnaire assessment or polysomnography (PSG); the outcome was a possible OSA.

Study selection process

In the first screening, two investigators (H-Y Cheng, and C–C Yang) individually assessed the abstracts of the preliminary articles included. Then in the second screening, two investigators (C-W Chang, and C-H Chang) performed the full text screening to identify articles that met the eligibility criteria and excluded those that were not eligible. Disagreements between C-W Chang and C-H Chang about the eligibility of a study were resolved by three researchers (H-Y Chuang, C-I Lin, and H-T Chen) following a comprehensive evaluation.

Data collection

From each eligible study, we extracted information regarding the study characteristics, SHS, possible OSA cases, and the association between SHS and possible OSA. If this information was missing or inaccurate, we tried to reach the relevant authors to provide clearer details.

Study characteristics

We recorded the following data in respect of the study characteristics: the country where the study was done, publication year, sampling framework (clinical- or community-based), sample size, characteristics of participants, number of the outcome events (i.e., the number of possible OSA), as appropriate.

Secondhand smoke (SHS)

We defined SHS as “passive smoking” and “involuntary smoking”, including the composition of various complex mixtures from the smoldering end of tobacco, known as side stream smoke (SSS), and from the smoker's exhaled smoke and minor amounts of smoke that escape during the puff-drawing [9].

Possible sleep apnea syndrome cases

The classification of possible OSA are as below: questionnaires for OSA risk assessment, snoring, or PSG evaluation. Possible OSA was defined based on individual studies.

Statistical analysis

We calculated the overall pooled prevalence risk ratios (RRs) from possible SAS cases according to SHS and non-SHS exposures. Using the 95% confidence interval (CI) for the RR, we appraised the standard error (SE) for the RR. In this meta-analysis, we reported the prevalence RR and SE. The main prevalence RRs and the SEs were combined using a fixed-effects model meta-analysis, to calculate the pooled prevalence RR and its 95% CI for the primary outcome. We built a fixed-effects model to assess the possibility of heterogeneity regarding whether the RRs of the included studies originated from their characteristics [15]. I2 was applied for reporting the heterogeneity among these enrolled studies. Moreover, separate subgroup meta-analysis for children-adults, and smoker fathers and mothers, were performed. Review Manager version 5.4 and R version 3.6.2 were used for all statistical analysis.


Selected studies

The summary of the present literature search procedure is shown in Fig. 1. The data base search was from three different databases (PubMed, EMBASE and Web of Science), which gave a result of 267 articles. However, 84 article were removed due to duplication, therefore a total of 183 studies were screened for abstracts and title. At the first phase of the screening processes, 136 studies were excluded leaving 47 studies for full text screening. In the second phase of the screening 21 studies did not meet the inclusion criteria due to inappropriate study design, insufficient patient group, inappropriate patient group and non-English studies. Finally, we included 26 studies with 115,080 participants, in both the narrative synthesis and meta-analysis.

Fig. 1
figure 1

Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram

Study characteristics

Table 1 presents the 26 studies that met our inclusion criteria [13, 14, 16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39], and 23 used cross-sectional study design [13, 14, 16,17,18,19,20,21,22,23,24, 26, 28,29,30, 32,33,34,35,36,37,38,39]. The remaining three studies, categorized into exposure vs. non-exposure groups, used retrospective cohort (Huang et al.) [25]; prospective cohort (Kannan et al.) [27]; and case–control (Nosetti et al.) [31] study designs. The assessment of OSA in 21 studies [16, 18,19,20,21,22,23,24, 26,27,28,29,30, 32,33,34,35,36,37,38,39] was questionnaire-based, while in five studies [13, 14, 17, 25, 31], assessment was via PSG. The study participants in 23 studies [13, 14, 16,17,18,19,20,21, 23, 24, 26,27,28,29,30,31, 33,34,35,36,37,38,39] were children; three of the remaining studies were conducted in adults [22, 25, 32].

Table 1 Studies included in the systematic review and meta-analysis (N = 26)

Results of individual studies

Table 2 shows the reported measures for the association between SHS exposure and possible OSA. Sixteen studies [13, 19,20,21,22, 24,25,26,27,28, 30,31,32, 36, 38, 39] reported a significant association between SHS exposure and possible OSA. However, the remaining 10 studies, including Sogut et al. [14] and Zhu et al. [37], revealed a negative association of SHS exposure with possible OSA.

Table 2 Measures of the association between secondhand smoke and high risk obstructive sleep apnea in the 26 included studies

Three studies [14, 21, 39] performed additional or sub-group analysis. For instance, Ersu et al. [21] classified SHS exposure into maternal and paternal smoking groups and compared the high-risk snorer versus never-snorer based on environmental smoking exposure of different family members. Participants with high-risk snoring are significantly associated with exposures to both maternal and paternal smoking (odds ratio [OR] 3.3, 95% CI, 1.5–7.5 versus OR 3.4, 95% CI, 1.3–9.2, respectively). Kuehni et al. [39] classified exposure to parental smoking as one and both parents smoking. Compared with one parent smoking versus none, both parents smoking versus none had significantly higher risk of habitual snoring in the fully adjusted model (OR 2.06, 95% CI, 1.48–2.87, p value < 0.001). Sogut et al. [14] classified smoking exposure based on the fathers’ and mothers’ smoking status. Exposure to mothers’ smoking exposure was found to be significantly more in habitual snorers than in never snored group (OR 2.3, 95% CI 1.1–4.4, p value < 0.05).


A fixed-effect model meta-analysis revealed variations in the association between exposure to SHS and possible OSA (RRs derived from 26 studies) (Table 2, Fig. 2). The pooled prevalence was significant. A fixed model meta-analysis indicated significantly positive association between exposure to SHS and possible OSA (RR 1.45; 95% CI 1.39 to 1.50, p < 0.00001).

Fig. 2
figure 2

Secondhand smoke (SHS)and relative risks of obstructive sleep apnea (OSA) in the 26 studies: a fixed-effect model. CI, confidence interval

A funnel plot of the log-transformed RRs of the association of possible OSA with exposure to SHS as well as the SEs of the 26 RRs showed adequate number of studies had small SEs (i.e., larger sample sizes) and smaller RRs (Fig. 3).

Fig. 3
figure 3

Funnel plot of the log-transformed relative risks (RRs) of obstructive sleep apnea (OSA) associated with secondhand smoke (SHS) and standard errors for the 26 studies

Subgroup analysis

We performed subgroup analyses for adults and children using fixed-effects model meta-analysis of the pooled prevalence RRs (Table 3, Fig. 4). For the adults (three RRs were derived from three studies), the pooled prevalence RR of 1.35 (95% CI 1.21 to 1.51, p < 0.00001) [22, 25, 32] was significant. There was low, non-significant heterogeneity (I2 = 0%, χ2 = 1.35, p = 0.51). For the children (23 RRs were derived from 23 studies), the pooled prevalence RR of 1.44 (95% CI 1.37 to 1.51, p < 0.00001) was significant. There was substantial, significant heterogeneity (I2 = 83%, χ2 = 130.84, p < 0.00001) [13, 14, 16,17,18,19,20,21, 23, 24, 26,27,28,29,30,31, 33,34,35,36,37,38,39].

Table 3 Subgroup analysis of the risk ratio for adults or children exposed to secondhand smoke (SHS)
Fig. 4
figure 4

Subgroup analysis of the risk ratio of obstructive sleep apnea (OSA) by adults and children based on secondhand smoke (SHS) exposure. CI, confidence interval

On the other hand, we analyzed the association between SHS and possible OSA among smoker father and mother subgroups using fixed-effects model meta-analysis of pooled prevalence RRs (Table 4, Fig. 5). For participants with exposure to fathers’ smoking (five RRs were derived from five studies), the pooled prevalence RR of 1.43 (95% CI 1.13 to 1.81, p = 0.003) was significant [16, 21, 23, 33, 34]. There was also substantial, not-significant heterogeneity (I2 = 37%, χ2 = 6.40, p = 0.17). For participants with exposure to mothers’ smoking (seven RRs were derived from seven studies), the pooled prevalence RR of 1.84 (95% CI 1.55 to 2.18, p < 0.00001) was significant [14, 17, 21, 23, 30, 33, 34]. There was significant heterogeneity (I2 = 54%, χ2 = 12.96, p = 0.04).

Table 4 Subgroup analysis of risk ratio based on participants expose to father smoking or mother smoking
Fig. 5
figure 5

Subgroup analysis of risk ratio of obstructive sleep apnea (OSA) based on smoker fathers and mothers. CI, confidence interval


This meta-analysis of 26 studies investigated the relationship between SHS and possible OSA. Our analysis, showing an increased risk of possible OSA in the group with exposure to SHS compared to no exposure, confirms exposure to SHS as a risk factor for OSA.

In this meta-analysis, the included articles mostly used cross-sectional study design (except three articles). One [25] of the three articles used a retrospective study design while the other two [27, 31] used prospective cohort and case–control, respectively. The prospective cohort study, performed in the USA in 2017, included participants completing assessment at aged 1–4 and 7 years. Data collection was by complete clinical evaluations and questionnaires. The SHS and non-SHS exposure groups were compared for habitual snoring and the SHS exposure group tends to develop habitual snoring with a RR of 2.00, which imply the significant relationship between possible OSA and SHS exposure, can leads to general understand of the convergence between early SHS exposure and OSA risk.

The comparison of adults and pregnant women were reported in two different studies [22, 32]. According to Ohida et al. [32], significantly higher risk of possible OSA assessed by seven items questionnaire in SHS exposure are found, with an RR of 1.26. On the other hand, in the Franklin et al.’s study [22], habitual snoring affected more people in the passive smoking exposure group than non-exposure group, using Basic Nordic Sleep questionnaire.

Besides, to compare between Asian and USA children, Li et al. [30] administered questionnaires to parents to collect information on Asian children aged from 5–12 years old from the community. Information on snoring frequency and possible correlates according to whether they were exposed or not to household passive smoking were obtained. The household passive smoking exposure group had a higher frequency of habitual snoring than non-exposure group, with an RR of 1.16. On the contrary, Gozal et al. [24] included data on children (boys and girls as well as African American children) aged 5–7 years old collected via parental questionnaire survey regarding whether they were exposed to household smoking or not in the USA. A 1.34 RR of habitual snoring as well as medium to loud snoring was found among exposed children.

On the other hand, 10 studies demonstrated a non-statistically significant association between SHS exposure and the risk of possible OSA [14, 16,17,18, 23, 29, 33,34,35, 37]. Limited number of participants might be the reason for the negative results, with only 12.1% of recruited participants taking part. In the largest study conducted in Hong Kong among 9,172 Chinese children aged 5–14 years, the incidence of habitual snoring was demonstrated to be non-significantly different between those with or without household smoking exposure [29]. This result might be due to underreporting of household smoking by parents in the study [29].

OSA, a common sleep-related breathing disorder, is characterized by recurrent episodes of complete or partial reduction of airflow due to obstruction of the upper airway during sleep. It may lead to damage to multiple organs and affects the quality of life. The possible risk factors of OSA include genetic, anatomic, and environmental factors, such as family history of snoring, craniofacial structure, adenotonsillar hypertrophy, chronic allergic rhinitis, neuromuscular control of the upper airway, obesity, and smoking [40,41,42]. In our study, passive smoking has been reported to be a possible predisposing factor, which facilitates increases in upper airway resistance and pharyngeal collapsibility and leads to intermittent upper airway obstruction during sleep. However, some factors showed no significant association with OSA, including shift work [43] and exposure to solvents [44].

However, the detailed biological mechanisms of this association remain unclear. One potential hypothesis is that chemical-induced pharyngeal inflammation and edema lead to obstruction [45]. Another hypothesis is that SHS exposure may influence neurotransmitters of ventilatory control [46]. The other possible pathological change is that the long-term exposure to SHS reduces the sensitivity of tissues to hypoxia and impair the ability to recover from conditions caused by hypoxia [47, 48]. Besides, nicotine also plays a role in the progression of possible OSA [49]. The possible mechanism is through acetylcholine stimulation and activation of dopaminergic pathways in the central neurologic system [50].

In our meta-analysis, most of the enrolled studies use questionnaire surveys to detect possible OSA [16, 18,19,20,21,22,23,24, 26,27,28,29,30, 32,33,34,35,36,37,38,39], and a few use PSG [13, 14, 17, 25, 31]. PSG is the gold standard for diagnosing OSA as recommended by the American Academy of Pediatrics and American Association of Sleep Medicine [51]. However, PSG is expensive and not always available in most areas. Hence, many screening tools were developed for OSA, including the Berlin questionnaire [52], pediatric sleep questionnaire (PSQ) [53], and Children's Sleep Habits Questionnaire (CSHQ) [54], and all the three tools are powerful to detect possible OSA.

As we know, clinical manifestations, risk factors, diagnostic criteria, and polysomnographic findings of OSA in children are likely different from those of adults. The most common underlying condition in adults is often obesity, while those in children include enlargement of adenoids and tonsils. According to the third edition of the International Classification of Sleep Disorders (ICSD-3), OSA is divided into adult and pediatric OSA [55]. In our meta-analysis, two groups (for adults and children) were examined as part of our objectives. Although the mechanism of the cause of OSA was not totally similar in the two groups, the outcome was identical. Three out of 26 articles reported on the adult group, with an RR of 1.35. The remaining articles reported on the children’s group, with an RR of 1.44. Interestingly, the children group presented with more statistically significantly different and higher RRs than those of the adult group.

The subgroup analysis revealed that SHS, following smoker father or mother subgroups, has congruent effects on children's OSA. The present study showed that mothers smoking was a significantly higher risk of children’s OSA compared to fathers smoking. The possible reason is because mothers are the children’s main caregivers and spend more time caring for the children. Bianchi et al. reported that mothers, compared to fathers, spend two-fold time (120 vs. 60 min per day) caring for the children [56]. In Sogut et al., a significant difference was found between fathers smoking, compared with mothers smoking, and children’s snoring rate [34]. This was attributed to the fact that children spend more time with their mothers in Turkey [34]. However, few studies have examined the impact of mothers or fathers smoking on possible OSA occurrence, and more studies are needed for more precise results in the future.


Our study has several limitations that inevitably exist in the meta-analysis. First, most of the studies enrolled were cross-sectional studies, only one was a prospective cohort study. The primary finding of the present study have shown a significant result on the relationship between SHS and possible OSA, however due to the heterogeneity in the included participants groups, experiment designs and study type. The finding of the present study can be equivocal, the paucity of prospective cohort studies and the SHS exposure quantity will need to be further addressed to clearly establish the relationship between SHS and OSA. Therefore, additional prospective cohort studies are needed to confirm the causal relationship between SHS and possible OSA. Second, the definition of SHS exposure for each enrolled study differed, which made it difficult to quantify the SHS exposure. More definitive definition or quantification of SHS will be required in the future. Third, the outcome measurements among studies were inconsistent. Only three studies measured using PSG, most studies measured using questionnaires; this might induce recall bias. More objective measurements are required to improve the reliability of these studies. Fourth, the definitions of possible OSA (habitual snoring) were different among the studies. Some studies reported for every night, more than four times a week, or more than three times a week. Furthermore, some studies had no clear limit on the number of times, they only reported the degree (i.e., sometimes, often, and always). A more accurate and effective questionnaire for OSA assessment need to be considered in the future study. Fifth, the other risk factors, such as hypertension, diabetes mellitus, gender, advancing age, and body weight, did not be adjusted in the meta-analysis. Adjusting the same and consisted confounding variables in meta-analysis study is impossible because the diversity of confounding variables in these included original studies. Sixth, we did not analyze certain internal biomarkers (such as cotinine or similar) because all included studies were lacking these biomarkers expect only Zhu’s study [37], which applied urine cotinine as an objective biomarkers for quantifying SHS exposure. Determining the association of internal biomarkers (such as cotinine or similar) with OSA may be a topic for future research.


Our meta-analysis revealed a significant and positive association between SHS exposure and possible OSA in both children and adults. Moreover, both mothers smoking and father smoking are associated with a significantly higher risk of possible OSA in children compared nonsmoking in parents. However, the possible mechanism requires further survey.

Availability of data and materials

Data will be available upon request after the paper is accepted.



Confidence interval


Obstructive sleep apnea




Risk ratio


Standard error


Secondhand smoke


  1. Yaggi HK, Strohl KP. Adult obstructive sleep apnea/hypopnea syndrome: definitions, risk factors, and pathogenesis. Clin Chest Med. 2010;31:179–86.

    Article  Google Scholar 

  2. Bonsignore MR, Saaresranta T, Riha RL. Sex differences in obstructive sleep apnoea. Eur Respir Rev. 2019;28(154):190030.

    Article  Google Scholar 

  3. Wu KL, Kuo CY, Tsai YC, Hung JY, Sheu CC, Yang CJ, et al. CHADS2, CHA2DS2ASc, and New ABCD scores predict the risk of peripheral arterial disease in patients with sleep apnea. J Clin Med. 2019;8(2):188.

    Article  Google Scholar 

  4. Hsu WY, Chiu NY, Chang CC, Chang TG, Lane HY. The association between cigarette smoking and obstructive sleep apnea. Tob Induc Dis. 2019;17:27.

    Article  Google Scholar 

  5. Wang X, Ouyang Y, Wang Z, Zhao G, Liu L, Bi Y. Obstructive sleep apnea and risk of cardiovascular disease and all-cause mortality: a meta-analysis of prospective cohort studies. Int J Cardiol. 2013;169:207–14.

    Article  Google Scholar 

  6. Ge X, Han F, Huang Y, Zhang Y, Yang T, Bai C, et al. Is obstructive sleep apnea associated with cardiovascular and all-cause mortality? PLoS ONE. 2013;8: e69432.

    CAS  Article  Google Scholar 

  7. World Health Organization. WHO report on the global tobacco epidemic, 2017: monitoring tobacco use and prevention policies. Geneva: World Health Organization; 2017. p. 2017.

    Google Scholar 

  8. Carter BD, Abnet CC, Feskanich D, Freedman ND, Hartge P, Lewis CE, et al. Smoking and mortality–beyond established causes. N Engl J Med. 2015;372:631–40.

    CAS  Article  Google Scholar 

  9. DiGiacomo SI, Jazayeri MA, Barua RS, Ambrose JA. Environmental tobacco smoke and cardiovascular disease. Int J Environ Res Public Health. 2018;16(1):96.

    CAS  Article  Google Scholar 

  10. Roberts C, Wagler G, Carr MM. Environmental tobacco smoke: public perception of risks of exposing children to second- and third-hand tobacco smoke. J Pediatr Health Care. 2017;31:e7–13.

    Article  Google Scholar 

  11. Szukalska M, Merritt TA, Lorenc W, Sroczyńska K, Miechowicz I, Komorowicz I, et al. Toxic metals in human milk in relation to tobacco smoke exposure. Environ Res. 2021;197: 111090.

    CAS  Article  Google Scholar 

  12. Krishnan V, Dixon-Williams S, Thornton JD. Where there is smoke there is sleep apnea: exploring the relationship between smoking and sleep apnea. Chest. 2014;146:1673–80.

    Article  Google Scholar 

  13. Włodarska A, Doboszyńska A. Tobacco smoke exposure as a risk factor for obstructive sleep apnea in children. Pediatr Int. 2020;62:840–7.

    Article  Google Scholar 

  14. Sogut A, Altin R, Uzun L, Ugur MB, Tomac N, Acun C, et al. Prevalence of obstructive sleep apnea syndrome and associated symptoms in 3–11-year-old Turkish children. Pediatr Pulmonol. 2005;39:251–6.

    Article  Google Scholar 

  15. Hunter JE, Schmidt FL. Fixed effects vs. random effects meta-analysis models: implications for cumulative research knowledge. Int J Sel Assess. 2000;8:275–92.

    Article  Google Scholar 

  16. Anuntaseree W, Rookkapan K, Kuasirikul S, Thongsuksai P. Snoring and obstructive sleep apnea in Thai school-age children: prevalence and predisposing factors. Pediatr Pulmonol. 2001;32:222–7.

    CAS  Article  Google Scholar 

  17. Brunetti L, Rana S, Lospalluti ML, Pietrafesa A, Francavilla R, Fanelli M, et al. Prevalence of obstructive sleep apnea syndrome in a cohort of 1,207 children of southern Italy. Chest. 2001;120:1930–5.

    CAS  Article  Google Scholar 

  18. Castronovo V, Zucconi M, Nosetti L, Marazzini C, Hensley M, Veglia F, et al. Prevalence of habitual snoring and sleep-disordered breathing in preschool-aged children in an Italian community. J Pediatr. 2003;142:377–82.

    Article  Google Scholar 

  19. Corbo GM, Forastiere F, Agabiti N, Pistelli R, Dell’Orco V, Perucci CA, et al. Snoring in 9- to 15-year-old children: risk factors and clinical relevance. Pediatrics. 2001;108:1149–54.

    CAS  Article  Google Scholar 

  20. Corbo GM, Fuciarelli F, Foresi A, De Benedetto F. Snoring in children: association with respiratory symptoms and passive smoking. BMJ. 1989;299:1491–4.

    CAS  Article  Google Scholar 

  21. Ersu R, Arman AR, Save D, Karadag B, Karakoc F, Berkem M, et al. Prevalence of snoring and symptoms of sleep-disordered breathing in primary school children in istanbul. Chest. 2004;126:19–24.

    Article  Google Scholar 

  22. Franklin KA, Gíslason T, Omenaas E, Jõgi R, Jensen EJ, Lindberg E, et al. The influence of active and passive smoking on habitual snoring. Am J Respir Crit Care Med. 2004;170:799–803.

    Article  Google Scholar 

  23. Gill AI, Schaughency E, Galland BC. Prevalence and factors associated with snoring in 3-year olds: early links with behavioral adjustment. Sleep Med. 2012;13:1191–7.

    Article  Google Scholar 

  24. Gozal D, Kheirandish-Gozal L, Capdevila OS, Dayyat E, Kheirandish E. Prevalence of recurrent otitis media in habitually snoring school-aged children. Sleep Med. 2008;9:549–54.

    Article  Google Scholar 

  25. Huang Q, Ali S, Zhang J. Association between exposure to family environmental tobacco smoke and obstructive sleep apnea hypopnea syndrome. Appl Ecol Environ Res. 2019;17:12615–22.

    Google Scholar 

  26. Kaditis AG, Finder J, Alexopoulos EI, Starantzis K, Tanou K, Gampeta S, et al. Sleep-disordered breathing in 3,680 Greek children. Pediatr Pulmonol. 2004;37:499–509.

    Article  Google Scholar 

  27. Kannan JA, Brokamp C, Bernstein DI, LeMasters GK, Hershey GKK, Villareal MS, et al. Parental snoring and environmental pollutants, but not aeroallergen sensitization, are associated with childhood snoring in a birth cohort. Pediatr Allergy Immunol Pulmonol. 2017;30:31–8.

    Article  Google Scholar 

  28. Kheirandish-Gozal L, Ghalebandi M, Salehi M, Salarifar MH, Gozal D. Neighbourhood air quality and snoring in school-aged children. Eur Respir J. 2014;43:824–32.

    Article  Google Scholar 

  29. Li AM, Au CT, So HK, Lau J, Ng PC, Wing YK. Prevalence and risk factors of habitual snoring in primary school children. Chest. 2010;138:519–27.

    Article  Google Scholar 

  30. Li S, Jin X, Yan C, Wu S, Jiang F, Shen X. Habitual snoring in school-aged children: environmental and biological predictors. Respir Res. 2010;11:144.

    Article  Google Scholar 

  31. Caprioglio A, Levrini L, Nosetti L, Berini J, Macchi A, Tagliabue A, et al. Prevalence of malocclusion in preschool and primary school children with habitual snoring and sleep-disordered breathing. Eur J Paediatr Dent. 2011;12:267–71.

    CAS  Article  Google Scholar 

  32. Ohida T, Kaneita Y, Osaki Y, Harano S, Tanihata T, Takemura S, et al. Is passive smoking associated with sleep disturbance among pregnant women? Sleep. 2007;30:1155–61.

    Article  Google Scholar 

  33. Sahin U, Ozturk O, Ozturk M, Songur N, Bircan A, Akkaya A. Habitual snoring in primary school children: prevalence and association with sleep-related disorders and school performance. Med Princ Pract. 2009;18:458–65.

    Article  Google Scholar 

  34. Sogut A, Yilmaz O, Dinc G, Yuksel H. Prevalence of habitual snoring and symptoms of sleep-disordered breathing in adolescents. Int J Pediatr Otorhinolaryngol. 2009;73:1769–73.

    Article  Google Scholar 

  35. Urschitz MS, Guenther A, Eitner S, Urschitz-Duprat PM, Schlaud M, Ipsiroglu OS, et al. Risk factors and natural history of habitual snoring. Chest. 2004;126:790–800.

    Article  Google Scholar 

  36. Zhang G, Spickett J, Rumchev K, Lee AH, Stick S. Snoring in primary school children and domestic environment: a Perth school based study. Respir Res. 2004;5:19.

    Article  Google Scholar 

  37. Zhu Y, Au CT, Leung TF, Wing YK, Lam CW, Li AM. Effects of passive smoking on snoring in preschool children. J Pediatr. 2013;163:1158-62.e4.

    CAS  Article  Google Scholar 

  38. Owen G, Canter R, Robinson A. Snoring, apnoea and ENT symptoms in the paediatric community. Clin Otolaryngol. 1996;21:130–4.

    CAS  Article  Google Scholar 

  39. Kuehni CE, Strippoli MP, Chauliac ES, Silverman M. Snoring in preschool children: prevalence, severity and risk factors. Eur Respir J. 2008;31:326–33.

    CAS  Article  Google Scholar 

  40. Włodarska A, Doboszynska A. Obstructive sleep apnoea syndrome in children. Pediatria i Medycyna Rodzinna. 2016;16:242–8.

    Article  Google Scholar 

  41. Schwengel DA, Dalesio NM, Stierer TL. Pediatric obstructive sleep apnea. Anesthesiol Clin. 2014;32:237–61.

    Article  Google Scholar 

  42. Kent DT, Soose RJ. Environmental factors that can affect sleep and breathing: allergies. Clin Chest Med. 2014;35:589–601.

    Article  Google Scholar 

  43. Yang CC, Lee KW, Watanabe K, Kawakami N. The association between shift work and possible obstructive sleep apnea: a systematic review and meta-analysis. Int Arch Occup Environ Health. 2021.

    Article  Google Scholar 

  44. Schwartz DA, Vinnikov D, Blanc PD. Occupation and obstructive sleep apnea: a meta-analysis. J Occup Environ Med. 2017;59:502–8.

    Article  Google Scholar 

  45. Weinstock TG, Rosen CL, Marcus CL, Garetz S, Mitchell RB, Amin R, et al. Predictors of obstructive sleep apnea severity in adenotonsillectomy candidates. Sleep. 2014;37:261–9.

    Article  Google Scholar 

  46. Schuetze P, Eiden RD. The association between prenatal exposure to cigarettes and infant and maternal negative affect. Infant Behav Dev. 2007;30:387–98.

    Article  Google Scholar 

  47. Coggins CR. A further review of inhalation studies with cigarette smoke and lung cancer in experimental animals, including transgenic mice. Inhal Toxicol. 2010;22:974–83.

    Article  Google Scholar 

  48. Owili PO, Muga MA, Kuo HW. Gender difference in the association between environmental tobacco smoke and birth weight in Africa. Int J Environ Res Public Health. 2018;15(7):1409.

    Article  Google Scholar 

  49. Law KL, Stroud LR, LaGasse LL, Niaura R, Liu J, Lester BM. Smoking during pregnancy and newborn neurobehavior. Pediatrics. 2003;111:1318–23.

    Article  Google Scholar 

  50. Stroud LR, Paster RL, Papandonatos GD, Niaura R, Salisbury AL, Battle C, et al. Maternal smoking during pregnancy and newborn neurobehavior: effects at 10 to 27 days. J Pediatr. 2009;154:10–6.

    Article  Google Scholar 

  51. Aurora RN, Zak RS, Karippot A, Lamm CI, Morgenthaler TI, Auerbach SH, et al. Practice parameters for the respiratory indications for polysomnography in children. Sleep. 2011;34:379–88.

    Article  Google Scholar 

  52. Netzer NC, Stoohs RA, Netzer CM, Clark K, Strohl KP. Using the Berlin questionnaire to identify patients at risk for the sleep apnea syndrome. Ann Intern Med. 1999;131:485–91.

    CAS  Article  Google Scholar 

  53. Chervin RD, Hedger K, Dillon JE, Pituch KJ. Pediatric sleep questionnaire (PSQ): validity and reliability of scales for sleep-disordered breathing, snoring, sleepiness, and behavioral problems. Sleep Med. 2000;1:21–32.

    CAS  Article  Google Scholar 

  54. Owens JA, Spirito A, McGuinn M. The Children’s Sleep Habits Questionnaire (CSHQ): psychometric properties of a survey instrument for school-aged children. Sleep. 2000;23:1043–51.

    CAS  Article  Google Scholar 

  55. Sateia MJ. International classification of sleep disorders-third edition: highlights and modifications. Chest. 2014;146:1387–94.

    Article  Google Scholar 

  56. Bianchi SM. Family Change and Time Allocation in American Families. Ann Am Acad Pol Soc Sci. 2011;638:21–44.

    Article  Google Scholar 

Download references


This work was supported partially by the Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan and by Kaohsiung Medical University Research Center Grant (KMU-TC111A01 and KMUTC111IFSP01).


This work was supported partially by the Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan and by Kaohsiung Medical University Research Center Grant (KMU-TC111A01 and KMUTC111IFSP01), and Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University (S-110–09).

Author information

Authors and Affiliations



Conceptualization, C–C Yang; Methodology, C–C Yang, H-Y Chuang; Software, C–C Yang, H-Y Chuang; Formal analysis, C–C Yang; Investigation, C-W Chang, C-H Chang, H-Y Chuang, H-Y Cheng, C-I Lin, H-T Chen, and C–C Yang; Writing–original draft preparation, C-W Chang, C-H Chang, H-Y Cheng, and C–C Yang; Writing–review & editing, C-W Chang, C-H Chang, H-Y Chuang, and C–C Yang; Supervision, C–C Yang. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Chen-Cheng Yang.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

All the authors agree for publication.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Chang, CW., Chang, CH., Chuang, HY. et al. What is the association between secondhand smoke (SHS) and possible obstructive sleep apnea: a meta-analysis. Environ Health 21, 58 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Secondhand smoke
  • Obstructive sleep apnea
  • Meta-analysis
  • Occupational environmental medicine
  • Family medicine