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Henderson E, Rodriguez Guerrero LA, Continente X, Fernández E, Tigova O, Cortés-Francisco N, Semple S, Dobson R, Tzortzi A, Vyzikidou VK, Gorini G, Geshanova G, Mons U, Przewozniak K, Precioso J, Brad R, López MJ. Measurement of airborne nicotine, as a marker of secondhand smoke exposure, in homes with residents who smoke in 9 European countries. ENVIRONMENTAL RESEARCH 2023; 219:115118. [PMID: 36566961 DOI: 10.1016/j.envres.2022.115118] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 12/16/2022] [Accepted: 12/18/2022] [Indexed: 06/17/2023]
Abstract
OBJECTIVE Smoke-free policies are effective in preventing secondhand smoke (SHS) exposure, but their adoption at home remains largely voluntary. This study aimed to quantify SHS exposure in homes with residents who smoke in Europe according to households' characteristics, tobacco consumption habits, and national contextual factors. METHODS Cross-sectional study (March 2017-September 2018) based on measurements of air nicotine inside 162 homes with residents who smoke from nine European countries. We installed passive samplers for seven consecutive days to monitor nicotine concentrations. Through self-administered questionnaires, we collected sociodemographic information and the number of individuals who smoke, smoking rules, frequency, location, and quantity of tobacco use in households. Country-level factors included the overall score in the Tobacco Control Scale 2016, the smoking prevalence, and self-reported SHS exposure prevalence. Nicotine concentrations were analyzed as continuous and dichotomous variables, categorized based on the limit of quantification of 0.02 μg/m3. RESULTS Overall, median nicotine concentration was 0.85 μg/m3 (interquartile range (IQR):0.15-4.42), and there was nicotine presence in 93% of homes. Participants reported that smoking was not permitted in approximately 20% of households, 40% had two or more residents who smoked, and in 79% residents had smoked inside during the week of sampling. We found higher nicotine concentrations in homes: with smell of tobacco smoke inside (1.45 μg/m3 IQR: 0.32-6.34), where smoking was allowed (1.60 μg/m3 IQR: 0.68-7.63), with two or more residents who smoked (2.42 μg/m3 IQR: 0.58-11.0), with more than 40 cigarettes smoked (2.92 μg/m3 IQR: 0.97-10.61), and where two or more residents smoked inside (4.02 μg/m3 IQR: 1.58-11.74). Household nicotine concentrations were significantly higher in countries with higher national smoking prevalence and self-reported SHS exposure prevalence (p < 0.05). CONCLUSIONS SHS concentrations in homes with individuals who smoke were approximately twenty times higher in homes that allowed smoking compared to those reporting smoke-free household rules. Evidence-based interventions promoting smoke-free homes should be implemented in combination with strengthening other MPOWER measures.
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Affiliation(s)
- Elisabet Henderson
- Agència de Salut Pública de Barcelona, Pl. Lesseps, 1, 08023, Barcelona, Spain
| | | | - Xavier Continente
- Agència de Salut Pública de Barcelona, Pl. Lesseps, 1, 08023, Barcelona, Spain; Center for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 282029, Madrid, Spain; Sant Pau Institute of Biomedical Research (IIB Sant Pau), Sant Antoni Maria Claret, 167, 08025, Barcelona, Spain
| | - Esteve Fernández
- Institut Català d'Oncologia, Av. Granvia de l'Hospitalet 199-203, 08908, L'Hospitalet de Llobregat, Spain; Institut d'Investigació Biomèdica de Bellvitge, Av. Granvia de l'Hospitalet 199, 08908, L'Hospitalet de Llobregat, Spain; Universitat de Barcelona, Feixa Llarga, s/n, 08907, L'Hospitalet de Llobregat, Spain; Center for Biomedical Research in Respiratory Diseases (CIBERES), Av. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 282029, Madrid, Spain
| | - Olena Tigova
- Institut Català d'Oncologia, Av. Granvia de l'Hospitalet 199-203, 08908, L'Hospitalet de Llobregat, Spain; Institut d'Investigació Biomèdica de Bellvitge, Av. Granvia de l'Hospitalet 199, 08908, L'Hospitalet de Llobregat, Spain; Universitat de Barcelona, Feixa Llarga, s/n, 08907, L'Hospitalet de Llobregat, Spain; Center for Biomedical Research in Respiratory Diseases (CIBERES), Av. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 282029, Madrid, Spain
| | - Nuria Cortés-Francisco
- Agència de Salut Pública de Barcelona, Pl. Lesseps, 1, 08023, Barcelona, Spain; Sant Pau Institute of Biomedical Research (IIB Sant Pau), Sant Antoni Maria Claret, 167, 08025, Barcelona, Spain
| | - Sean Semple
- Institute for Social Marketing and Health, University of Stirling, Stirling, FK9 4LA, Scotland, UK
| | - Ruaraidh Dobson
- Institute for Social Marketing and Health, University of Stirling, Stirling, FK9 4LA, Scotland, UK
| | - Anna Tzortzi
- George D. Behrakis Research Lab, Hellenic Cancer Society, 17B Ipitou str., Athens, 10557, Greece
| | - Vergina K Vyzikidou
- George D. Behrakis Research Lab, Hellenic Cancer Society, 17B Ipitou str., Athens, 10557, Greece
| | - Giuseppe Gorini
- Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Via Cosimo il Vecchio, 2, 50139, Florence, Italy
| | - Gergana Geshanova
- Smoke-free Life Coalition, Slivnitsa Blvd, 257, 1202, Sofia, Bulgaria
| | - Ute Mons
- Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50923, Cologne, Germany; Cancer Prevention Unit & WHO Collaborating Centre for Tobacco Control, German Cancer Research Center (DKFZ), Im Neuenheimer Feld, 280, 69120, Heidelberg, Germany
| | - Krzysztof Przewozniak
- Maria Sklodowska-Curie National Research Institute of Oncology, Roentgena, 5, 02-781, Warsaw, Poland; The Foundation Smart Health - Health in 3D, Makolągwy 24, 02-811, Warsaw, Poland; Collegium Civitas, 1 Defilad Square, 00-901, Warsaw, Poland
| | - José Precioso
- Research Center in Child Studies, University of Minho, 4710-057, Braga, Portugal
| | - Ramona Brad
- Healthy Romania Generation 2035 Association, Bucharest, Romania
| | - Maria J López
- Agència de Salut Pública de Barcelona, Pl. Lesseps, 1, 08023, Barcelona, Spain; Center for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 282029, Madrid, Spain; Sant Pau Institute of Biomedical Research (IIB Sant Pau), Sant Antoni Maria Claret, 167, 08025, Barcelona, Spain; Universitat Pompeu Fabra, Departament de Ciències Experimentals i de la Salut (DCEXS), Doctor Aiguader, 88, 08003, Barcelona, Spain.
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Wu CW, Chuang HY, Watanabe K, Wu PS, Pan HC, Wang CL, Yang CC, Hung CH, Dai CY, Ho CK, Kawakami N. Association between secondhand smoke and peripheral arterial disease: a meta-analysis of cross-sectional studies. Int Arch Occup Environ Health 2022; 95:1091-1101. [PMID: 35083550 DOI: 10.1007/s00420-022-01837-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 01/10/2022] [Indexed: 12/24/2022]
Abstract
PURPOSE The association between secondhand smoke (SHS) and peripheral arterial disease (PAD) was inconsistent and the studies were relatively scarce, hence, we conducted a meta-analysis of the association between SHS and PAD. MATERIALS AND METHODS We systematically searched three electronic databases (PubMed, EMBASE, and Web of Science), and calculated the pooled prevalence risk ratio (RR) and estimated standard error by random effect model from the meta-analysis. Furthermore, we performed a subgroup meta-analysis according to the location of SHS exposure. RESULTS We initially identified 502 articles from the electronic database, and 6 articles, cross-sectional data from 4 cross-sectional studies and 2 prospective cohort studies, were included in the meta-analysis. Among these six articles, two studies showed a significant correlation between SHS exposure and PAD, whereas no study showed a negative correlation between SHS exposure and PAD. In the meta-analysis, pooled prevalence showed a significant association between SHS exposure and PAD (RR = 1.23; 95% confidence interval [CI] 1.08-1.41; z = 3.02, p = 0.003). In the subgroup analysis based on location of SHS exposure, the prevalence RR of PAD at home was 1.30 (95% CI 1.14-1.49, Z-3.99, p < 0.0001). The prevalence RR in the subgroup of SHS exposure at work was not significant (RR = 0.89; 95% CI 0.55-1.44; z = 0.48, p = 0.63). CONCLUSION Exposure to SHS was significantly and positively associated with PAD. Moreover, we found a significant association between exposure to SHS and PAD at home, but the association was not significant at work.
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Affiliation(s)
- Chih-Wei Wu
- Department of Occupational and Environmental Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, No. 482, Shanming Rd., Siaogang Dist., Kaohsiung City, 812, Taiwan
- Department of Family Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan
| | - Hung-Yi Chuang
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
| | - Kazuhiro Watanabe
- Department of Public Health, School of Medicine, Kitasato University, Sagamihara, Japan
- Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Pei-Shan Wu
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
| | - Hui-Chen Pan
- Department of Family Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan
- Department of Nursing, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan
| | - Chao-Ling Wang
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
| | - Chen-Cheng Yang
- Department of Occupational and Environmental Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, No. 482, Shanming Rd., Siaogang Dist., Kaohsiung City, 812, Taiwan.
- Department of Family Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan.
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan.
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City 807, Taiwan.
| | - Chih-Hsing Hung
- Environmental and Occupational Medicine Center, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan
| | - Chia-Yen Dai
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
| | - Chi-Kung Ho
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
| | - Norito Kawakami
- Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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Mourino N, Pérez-Ríos M, Santiago-Pérez MI, Lanphear B, Yolton K, Braun JM. Secondhand tobacco smoke exposure among children under 5 years old: questionnaires versus cotinine biomarkers: a cohort study. BMJ Open 2021; 11:e044829. [PMID: 34183339 PMCID: PMC8240561 DOI: 10.1136/bmjopen-2020-044829] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES Cotinine is the gold standard to estimate prevalence of secondhand tobacco smoke (SHS) exposure, and assay limit of detection (LOD) cut-points are typically used regardless of age. Our aim was to compare the concordance between mother-reported SHS exposure and serum cotinine categorising children as exposed with the assay LOD or age-specific cut-points. DESIGN Data from the Health Outcomes and Measures of the Environment (HOME) Study, a prospective pregnancy and birth cohort. SETTING Hospital or participants' homes. PARTICIPANTS 389 pregnant women aged 18 years and older, between 13 and 19 weeks of gestation, living in a five-county region of the Cincinnati, Ohio metropolitan area, and with follow-up on their children at birth and ages 12, 24, 36 and 48 months. PRIMARY AND SECONDARY OUTCOME MEASURES Children's serum cotinine, mother-reported active smoking and SHS exposure were available at birth and during follow-up visits. We used Cohen's kappa index to assess concordance between maternal self-report and child's serum cotinine concentrations. We estimated optimal age-specific cut-points, their sensitivity-specificity and positive-negative predictive values with receiver operating characteristic curves. RESULTS Self-reported exposure and cotinine data were available for 280 women who gave birth to singleton child. When applying the assay LOD (0.015 ng/mL), concordance between maternal report and serum cotinine, without accounting for age, was below 0.23 at all times. When using age-specific cut-points (12 months: 0.11 ng/mL; 24 months: 0.08 ng/mL; 36 months: 0.05 ng/mL and 48 months: 0.04 ng/mL), concordance improved, being low at 12 months (0.39), moderate at 24 and 36 months (0.47 and 0.43) and high at 48 months (0.62). CONCLUSIONS Concordance between mother-reported SHS exposure among children under 5 years and serum cotinine improved considerably after applying the cohort-specific and age-specific cut-points. Future studies are necessary to verify these results.
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Affiliation(s)
- Nerea Mourino
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Mónica Pérez-Ríos
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
- Epidemiology Unit, Xunta de Galicia, Santiago de Compostela, Spain
| | | | - Bruce Lanphear
- Department of Health Sciences, Simon Fraser University - Vancouver, Vancouver, British Columbia, Canada
| | - Kimberly Yolton
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Joseph M Braun
- Department of Epidemiology, Brown University, Providence, Rhode Island, USA
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Park H, Cho SI, Lee C. Second hand smoke exposure in workplace by job status and occupations. Ann Occup Environ Med 2019; 31:3. [PMID: 30719320 PMCID: PMC6350322 DOI: 10.1186/s40557-019-0282-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Accepted: 01/17/2019] [Indexed: 12/27/2022] Open
Abstract
Background The objective of this study is to evaluate the risk of exposure to second hand smoke (SHS) during working hours by job status and occupation. Methods Using the 4th Korean Working Conditions Survey (KWCS), 49,674 respondents who answered the question about SHS were studied. A chi-square test was carried out to determine whether there is a significant different in SHS exposure frequency by general and occupational characteristics and experience of discrimination at work and logistic regression analysis was carried out to identify the risk level of SHS exposure by variables. Results In this study, we found that male workers in their 40s and 50s, workers employed in workplaces with fewer than 50 employees, daily workers, and people working outdoors had a higher rate of exposure to SHS than the others. The top five occupations with the highest SHS exposure were construction and mining-related occupations, metal core-makers-related trade occupations, wood and furniture, musical instrument, and signboard-related trade occupations, transport and machine-related trade occupations, transport and leisure services occupations. The least five exposed occupations were public and enterprise senior officers, legal and administrative professions, education professionals, and health, social welfare, and religion-related occupations. Conclusion Tobacco smoke is a significant occupational hazard. Smoking ban policy in the workplace can be a very effective way to reduce the SHS exposure rate in the workplace and can be more effective if specifically designed by the job status and various occupations.
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Affiliation(s)
- Hyunhee Park
- Work Environment Research Bureau, Occupational Safety and Health Research Institute, 400, Jongga-ro, Jung-gu, Ulsan, Republic of Korea.,2Department of Public Health Science, Graduate School of Public Health, and Institute of Health and Environment, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826 Republic of Korea
| | - Sung-Il Cho
- 2Department of Public Health Science, Graduate School of Public Health, and Institute of Health and Environment, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826 Republic of Korea
| | - Changhun Lee
- Work Environment Research Bureau, Occupational Safety and Health Research Institute, 400, Jongga-ro, Jung-gu, Ulsan, Republic of Korea
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Chen CY, Chang CM, Lin HL, Chu CL. The association between exposure to second-hand smoke and major depressive disorder in perimenopausal women: results from apopulation-based study. Ann Med 2018; 50:596-604. [PMID: 30311809 DOI: 10.1080/07853890.2018.1534264] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
PURPOSE The aim of this study was to test the hypothesis that exposure to second-hand smoke (SHS) would be positively associated with major depressive disorder (MDD) in perimenopausal women from a population-based perspective, after adjustment for all potential confounders. METHODS This study used the National Health and Nutrition Examination Survey (NHANES) database, 2005-2012, to report on MDD in perimenopausal women. RESULTS The odds ratio (OR) for MDD increased when there was a smoker was in the home, as compared to not having a smoker in the home (aOR = 2.97, 95% confidence interval [CI] = 1.15-7.67); however, in the non-poor group, the OR for MDD showed no difference between those who had or did not have a smoker in their home. For participants who self-rated their health condition as excellent, very good or good, the OR for MDD increased; it also increased if there were smokers in the home, as compared to those without smokers in the home (aOR = 2.58, 95% CI = 1.08-6.14). CONCLUSIONS The present study results augment our understanding of the clinical and public health significance of SHS, as well as the role of various socioeconomic and self-rated health conditions, in perimenopausal women. Key messages An increasing OR for MDD was demonstrated with regard to health status such as CVD, chronic respiratory tract disease, arthritis, thyroid problems, lower eGFR, fair or poor self-rated health condition, and elevated CRP level. Participants who self-rated their health condition as excellent, very good or good had an increased OR for MDD. The OR also increased if the women had smokers in their home versus women who did not have smokers in the home.
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Affiliation(s)
- Ching-Yen Chen
- a Department of Psychiatry , Chang Gung Hospital , Keelung , Taiwan.,b School of Medicine , Chang Gung University , Taoyuan , Taiwan
| | - Chia-Ming Chang
- b School of Medicine , Chang Gung University , Taoyuan , Taiwan.,c Department of Psychiatry , Chang Gung Hospital , Linkou , Taiwan
| | - Huang-Li Lin
- b School of Medicine , Chang Gung University , Taoyuan , Taiwan.,c Department of Psychiatry , Chang Gung Hospital , Linkou , Taiwan
| | - Chun-Lin Chu
- b School of Medicine , Chang Gung University , Taoyuan , Taiwan.,c Department of Psychiatry , Chang Gung Hospital , Linkou , Taiwan
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Jain RB. Rates of exposure to environmental tobacco smoke from various indoor environments among US children and nonsmoker adolescents and adults. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2018; 25:17002-17011. [PMID: 29627962 DOI: 10.1007/s11356-018-1891-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 03/27/2018] [Indexed: 06/08/2023]
Abstract
Data from National Health and Nutrition Examination Survey for 2013-2014 were used to compute rates of exposure (ROE) to environmental tobacco smoke (ETS) from various indoor environments among US children and nonsmoking adolescents and adults. In a typical week in USA, 473,000 infants (ROE, 11%), 3.36 million children aged 1-5 years (ROE, 16.4%), and 4.59 million children aged 6-11 years (ROE, 18.6%) are exposed to ETS from indoor environments only. ROE among children was found to be highest by inhaling tobacco smoke inside home, riding in a car, and when visiting other people's homes. In a typical week, 4.1 million nonsmoking adolescents (ROE, 29.2%) were being exposed to ETS. For every one adolescent smoker, 2.4 nonsmoker adolescents were being subjected to ETS exposure. Both non-Hispanic White (NHW) and non-Hispanic Black (NHB) nonsmoking adolescents had higher ROE (p < 0.01) than Hispanics (HISP) and non-Hispanic Asians (NHAS). Also, in a typical week, 16.8 million nonsmoking adults (ROE, 29.2%) were being exposed to ETS. For every adult smoker, 0.7 nonsmoker adult was subjected to ETS exposure. Both NHW and NHB nonsmoking adults had higher ROE (p < 0.01) than HISP and NHAS and males had higher ROE than females (p < 0.01).
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Jain RB. Trends in exposure to second hand smoke at home among children and nonsmoker adolescents. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 542:144-152. [PMID: 26519575 DOI: 10.1016/j.scitotenv.2015.10.076] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2015] [Revised: 08/14/2015] [Accepted: 10/15/2015] [Indexed: 06/05/2023]
Abstract
Data from National Health and Nutrition Examination Survey (NHANES) for the years 1999-2012 were used to evaluate trends in exposure to second hand smoke (SHS) at home among children aged 3-11 years and nonsmoker adolescents aged 12-19 years. A total of 12,815 children and 10,269 adolescents were included in the analyses. Serum cotinine was used as a biomarker for exposure to SHS at home. Regression models with log10 transformed values of serum cotinine as dependent variables and age, race/ethnicity, NHANES survey year, and family poverty income ratio as a surrogate measure of socioeconomic status were used in models for those with and without exposure to SHS at home. In addition, for those with exposure to SHS at home, number of smokers smoking inside home and number of cigarettes smoked at home every day were also used as independent variables. There was a biennial increase of 1.05 ng/L in adjusted serum cotinine levels for children with exposure to SHS at home over the period of 1999-2012. Serum cotinine levels among nonsmoker adolescents with exposure to SHS at home did not change over time. When there was no exposure to SHS at home, there was a statistically significant downward trend for serum cotinine levels for both children and nonsmoker adolescents. Serum cotinine levels attributable to SHS exposure increased with age among nonsmoker adolescents (p≤0.02) but decreased with age among children (p<0.01). For a unit decrease in family poverty income ratio, SHS exposure as measured by serum cotinine levels (Table 6) increased by 1.18 ng/L among children and by 1.30 ng/L among nonsmoker adolescents. In general, observed serum cotinine levels associated with SHS exposure at home were higher for children than they were for nonsmoker adolescents.
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Affiliation(s)
- Ram B Jain
- 2959 Estate View Ct, Dacula, GA 30019, United States.
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