Prevalence and Associated Factors of Passive Smoking among Women in Jilin Province, China: A Cross-Sectional Study
The present study aimed to investigate the prevalence and associated socio-demographic factors of passive smoking among women in Jilin Province, China. A cross-sectional study was conducted in 2012, using a self-reported questionnaire interview. A representative sample of 9788 non-smoking women aged...
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Published in | International journal of environmental research and public health Vol. 12; no. 11; pp. 13970 - 13980 |
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30.10.2015
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Abstract | The present study aimed to investigate the prevalence and associated socio-demographic factors of passive smoking among women in Jilin Province, China.
A cross-sectional study was conducted in 2012, using a self-reported questionnaire interview. A representative sample of 9788 non-smoking women aged 18-79 years was collected in Jilin Province of China by a multistage stratified random cluster sampling design. Descriptive data analysis and 95% confidence intervals (CI) of prevalence/frequency were conducted. Multivariable logistic regressions were used to examine the associated socio-demographic factors of passive smoking.
The overall prevalence of passive smoking among non-smoking women in Jilin Province was 60.6% (95% CI: 59.3-61.8), 58.3% (95% CI: 56.7-59.9) from urban areas, and 63.4% (95% CI: 61.6-65.3) from rural areas. Twenty-six percent (95% CI: 24.9-27.1) of the non-smoking women reported daily passive smoking, of which 42.9% (95% CI: 41.6-44.1) reported passive smoking at home, and 5.1% (95% CI: 4.5-5.7) reported passive smoking in restaurants. Women in urban areas were less likely to be passive smokers than those in rural ones (OR-Odds Ratio: 0.825, 95% CI: 0.729-0.935), elderly women were less likely to be passive smokers than younger women (55-64 years OR: 0.481, 95% CI: 0.342-0.674; 65-79 years OR: 0.351, 95% CI: 0.241-0.511). Seperated/divorced women were less likely to be passive smokers (OR: 0.701, 95% CI: 0.500-0.982), and widowed women (OR: 0.564, 95%CI: 0.440-0.722), as the married were the reference group. Retired women second-hand smoked due to environmental causes significantly less than manual workers (OR: 0.810, 95% CI: 0.708-0.928). Women with a monthly family income of more than 5000 RMB were less likely to be passive smokers than those with an income less than 500 RMB (OR: 0.615, 95% CI: 0.432-0.876).
The prevalence of passive smoking is lower than that reported in 2010 Global Adult Tobacco Survey (GATS) China, but passive smoking is still prevalent and has been an acute public health problem among non-smoking women in Jilin Province, China. Our findings suggest an urgent need for tobacco control and the efforts of public health should be both comprehensive and focus on high-risk populations in Jilin Province, China. |
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AbstractList | Background: The present study aimed to investigate the prevalence and associated socio-demographic factors of passive smoking among women in Jilin Province, China. Methods: A cross-sectional study was conducted in 2012, using a self-reported questionnaire interview. A representative sample of 9788 non-smoking women aged 18-79 years was collected in Jilin Province of China by a multistage stratified random cluster sampling design. Descriptive data analysis and 95% confidence intervals (CI) of prevalence/frequency were conducted. Multivariable logistic regressions were used to examine the associated socio-demographic factors of passive smoking. Results: The overall prevalence of passive smoking among non-smoking women in Jilin Province was 60.6% (95% CI: 59.3-61.8), 58.3% (95% CI: 56.7-59.9) from urban areas, and 63.4% (95% CI: 61.6-65.3) from rural areas. Twenty-six percent (95% CI: 24.9-27.1) of the non-smoking women reported daily passive smoking, of which 42.9% (95% CI: 41.6-44.1) reported passive smoking at home, and 5.1% (95% CI: 4.5-5.7) reported passive smoking in restaurants. Women in urban areas were less likely to be passive smokers than those in rural ones (OR-Odds Ratio: 0.825, 95% CI: 0.729-0.935), elderly women were less likely to be passive smokers than younger women (55-64 years OR: 0.481, 95% CI: 0.342-0.674; 65-79 years OR: 0.351, 95% CI: 0.241-0.511). Seperated/divorced women were less likely to be passive smokers (OR: 0.701, 95% CI: 0.500-0.982), and widowed women (OR: 0.564, 95%CI: 0.440-0.722), as the married were the reference group. Retired women second-hand smoked due to environmental causes significantly less than manual workers (OR: 0.810, 95% CI: 0.708-0.928). Women with a monthly family income of more than 5000 RMB were less likely to be passive smokers than those with an income less than 500 RMB (OR: 0.615, 95% CI: 0.432-0.876). Conclusions: The prevalence of passive smoking is lower than that reported in 2010 Global Adult Tobacco Survey (GATS) China, but passive smoking is still prevalent and has been an acute public health problem among non-smoking women in Jilin Province, China. Our findings suggest an urgent need for tobacco control and the efforts of public health should be both comprehensive and focus on high-risk populations in Jilin Province, China. The present study aimed to investigate the prevalence and associated socio-demographic factors of passive smoking among women in Jilin Province, China. A cross-sectional study was conducted in 2012, using a self-reported questionnaire interview. A representative sample of 9788 non-smoking women aged 18-79 years was collected in Jilin Province of China by a multistage stratified random cluster sampling design. Descriptive data analysis and 95% confidence intervals (CI) of prevalence/frequency were conducted. Multivariable logistic regressions were used to examine the associated socio-demographic factors of passive smoking. The overall prevalence of passive smoking among non-smoking women in Jilin Province was 60.6% (95% CI: 59.3-61.8), 58.3% (95% CI: 56.7-59.9) from urban areas, and 63.4% (95% CI: 61.6-65.3) from rural areas. Twenty-six percent (95% CI: 24.9-27.1) of the non-smoking women reported daily passive smoking, of which 42.9% (95% CI: 41.6-44.1) reported passive smoking at home, and 5.1% (95% CI: 4.5-5.7) reported passive smoking in restaurants. Women in urban areas were less likely to be passive smokers than those in rural ones (OR-Odds Ratio: 0.825, 95% CI: 0.729-0.935), elderly women were less likely to be passive smokers than younger women (55-64 years OR: 0.481, 95% CI: 0.342-0.674; 65-79 years OR: 0.351, 95% CI: 0.241-0.511). Seperated/divorced women were less likely to be passive smokers (OR: 0.701, 95% CI: 0.500-0.982), and widowed women (OR: 0.564, 95%CI: 0.440-0.722), as the married were the reference group. Retired women second-hand smoked due to environmental causes significantly less than manual workers (OR: 0.810, 95% CI: 0.708-0.928). Women with a monthly family income of more than 5000 RMB were less likely to be passive smokers than those with an income less than 500 RMB (OR: 0.615, 95% CI: 0.432-0.876). The prevalence of passive smoking is lower than that reported in 2010 Global Adult Tobacco Survey (GATS) China, but passive smoking is still prevalent and has been an acute public health problem among non-smoking women in Jilin Province, China. Our findings suggest an urgent need for tobacco control and the efforts of public health should be both comprehensive and focus on high-risk populations in Jilin Province, China. Background: The present study aimed to investigate the prevalence and associated socio-demographic factors of passive smoking among women in Jilin Province, China. Methods: A cross-sectional study was conducted in 2012, using a self-reported questionnaire interview. A representative sample of 9788 non-smoking women aged 18–79 years was collected in Jilin Province of China by a multistage stratified random cluster sampling design. Descriptive data analysis and 95% confidence intervals (CI) of prevalence/frequency were conducted. Multivariable logistic regressions were used to examine the associated socio-demographic factors of passive smoking. Results: The overall prevalence of passive smoking among non-smoking women in Jilin Province was 60.6% (95% CI: 59.3–61.8), 58.3% (95% CI: 56.7–59.9) from urban areas, and 63.4% (95% CI: 61.6–65.3) from rural areas. Twenty-six percent (95% CI: 24.9–27.1) of the non-smoking women reported daily passive smoking, of which 42.9% (95% CI: 41.6–44.1) reported passive smoking at home, and 5.1% (95% CI: 4.5–5.7) reported passive smoking in restaurants. Women in urban areas were less likely to be passive smokers than those in rural ones (OR-Odds Ratio: 0.825, 95% CI: 0.729–0.935), elderly women were less likely to be passive smokers than younger women (55–64 years OR: 0.481, 95% CI: 0.342–0.674; 65–79 years OR: 0.351, 95% CI: 0.241–0.511). Seperated/divorced women were less likely to be passive smokers (OR: 0.701, 95% CI: 0.500–0.982), and widowed women (OR: 0.564, 95%CI: 0.440–0.722), as the married were the reference group. Retired women second-hand smoked due to environmental causes significantly less than manual workers (OR: 0.810, 95% CI: 0.708–0.928). Women with a monthly family income of more than 5000 RMB were less likely to be passive smokers than those with an income less than 500 RMB (OR: 0.615, 95% CI: 0.432–0.876). Conclusions: The prevalence of passive smoking is lower than that reported in 2010 Global Adult Tobacco Survey (GATS) China, but passive smoking is still prevalent and has been an acute public health problem among non-smoking women in Jilin Province, China. Our findings suggest an urgent need for tobacco control and the efforts of public health should be both comprehensive and focus on high-risk populations in Jilin Province, China. |
Author | Li, Zhijun Jiang, Lingling Yao, Yan Li, Bo Kou, Changgui Tao, Yuchun Liu, Yawen Shi, Jieping Han, Weiqing Yin, Yutian Yu, Yaqin Zhang, Huiping |
AuthorAffiliation | 1 Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China; E-Mails: beyond.hehe@163.com (Z.L.); yaoyan@jlu.edu.cn (Y.Y.); yuyaqin5540@163.com (Y.Y.); mary_shijp@163.com (J.S.); ywliu@jlu.edu.cn (Y.L.); taoyuchun@163.com (Y.T.); koucg@jlu.edu.cn (C.K.); hanwq1987@foxmail.com (W.H.); yinyutian1123@126.com (Y.Y.); jianglingling.2008@163.com (L.J.) 2 Department of Psychiatry, School of Medicine, Yale University, New Haven, CT 06511, USA; E-Mail: huiping.zhang@yale.edu |
AuthorAffiliation_xml | – name: 1 Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China; E-Mails: beyond.hehe@163.com (Z.L.); yaoyan@jlu.edu.cn (Y.Y.); yuyaqin5540@163.com (Y.Y.); mary_shijp@163.com (J.S.); ywliu@jlu.edu.cn (Y.L.); taoyuchun@163.com (Y.T.); koucg@jlu.edu.cn (C.K.); hanwq1987@foxmail.com (W.H.); yinyutian1123@126.com (Y.Y.); jianglingling.2008@163.com (L.J.) – name: 2 Department of Psychiatry, School of Medicine, Yale University, New Haven, CT 06511, USA; E-Mail: huiping.zhang@yale.edu |
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CitedBy_id | crossref_primary_10_1136_bmjopen_2016_011671 crossref_primary_10_1093_aje_kwx378 crossref_primary_10_1186_s12199_021_01009_0 crossref_primary_10_1093_ntr_ntac158 crossref_primary_10_1007_s11356_020_11199_9 crossref_primary_10_1080_14659891_2021_1885518 crossref_primary_10_1016_j_cca_2018_08_001 crossref_primary_10_1111_jre_12545 crossref_primary_10_3390_ijerph14060655 crossref_primary_10_1080_14659891_2024_2335484 crossref_primary_10_1590_0004_282x_anp_2021_0216 crossref_primary_10_3390_ijerph17061942 crossref_primary_10_1038_s41598_018_26412_6 crossref_primary_10_1136_bmjopen_2021_057360 crossref_primary_10_18332_tid_85493 crossref_primary_10_3390_ijerph13040371 crossref_primary_10_1016_j_pcd_2019_07_004 |
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Snippet | The present study aimed to investigate the prevalence and associated socio-demographic factors of passive smoking among women in Jilin Province, China.
A... Background: The present study aimed to investigate the prevalence and associated socio-demographic factors of passive smoking among women in Jilin Province,... Background: The present study aimed to investigate the prevalence and associated socio-demographic factors of passive smoking among women in Jilin Province,... |
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SubjectTerms | Adolescent Adult Aged Air Pollutants China - epidemiology Chronic illnesses Cross-Sectional Studies Environmental Exposure Female Humans Logistic Models Middle Aged Prevalence Risk factors Rural Population - statistics & numerical data Smoking Socioeconomic Factors Studies Surveys and Questionnaires Tobacco Smoke Pollution - statistics & numerical data Urban Population - statistics & numerical data Women Young Adult |
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Title | Prevalence and Associated Factors of Passive Smoking among Women in Jilin Province, China: A Cross-Sectional Study |
URI | https://www.ncbi.nlm.nih.gov/pubmed/26529002 https://www.proquest.com/docview/1733146109 https://search.proquest.com/docview/1753466266 https://pubmed.ncbi.nlm.nih.gov/PMC4661627 |
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