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Tobacco and Alcohol Consumption Rates among Chinese Women of Reproductive Age in 2004–2011: Rate and Sociodemographic Influencing Factors

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  • Ruiyi Liu

    (School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China
    Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China
    The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China
    These authors contributed equally to this work.)

  • Li Chen

    (School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China
    Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China
    The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China
    These authors contributed equally to this work.)

  • Huan Zeng

    (School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China
    Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China
    The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China)

  • Cesar Reis

    (Preventive and Occupational Medicine Department, Loma Linda University Medical Center, Loma Linda, CA 92354, USA)

  • Haley Reis

    (School of Medicine, Loma Linda University, Loma Linda, CA 92354, USA)

  • Xianjie Yang

    (Clinical College, Chongqing Medical University, Chongqing 400016, China)

  • Xinjie Lin

    (Clinical College, Chongqing Medical University, Chongqing 400016, China)

  • Huabing Li

    (School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China
    Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China
    The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China)

  • Xuchen Meng

    (Clinical College, Chongqing Medical University, Chongqing 400016, China)

  • Manoj Sharma

    (Department of Behavioral and Environmental Health, Jackson State University, Jackson, MS 39213, USA)

  • Yong Zhao

    (School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China
    Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China
    The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China)

Abstract

Background : Smoking and alcohol consumption have become major public health problems among Chinese women. In this study we explore the behavioral trends in smoking and alcohol consumption of Chinese women. We also explored the changes in the sociodemographic factors that affect the smoking and alcohol consumption behaviors of Chinese women at different reproductive stages. Methods : We used the Chinese Health and Nutrition Survey data for 2004 to 2011 to investigate the trends and influential factors of tobacco and alcohol consumption among Chinese women. Data for tobacco and alcohol consumption (consumption of beer or any other alcoholic beverage and smoking of cigarettes) were extracted using questionnaires. We applied the χ 2 test to examine the trends of alcohol and tobacco consumption among Chinese women over the period of 2004 to 2011. We conducted two penalized logistic regressions with age as the continuous and classification variable (18–23, 24–29, 30–44, and 45–49 years), and independent variables included residence, age, and marital status. Results : Drinking rates among Chinese women significantly changed over the period of 2004 to 2011 ( p = 0.018). Age was related to tobacco consumption rates for 2009 and 2011 ( p < 0.05). Marital status was associated with tobacco consumption rates for 2004, 2009, and 2011 ( p < 0.05). Tobacco and alcohol consumption rates from 2004 to 2011 were positively correlated ( p < 0.05). Over the period of 2004 to 2011, alcohol consumption rates were higher among women living in urban areas than those among women living in rural areas ( p < 0.05). High educational attainment was related to alcohol consumption. Educational attainment levels of secondary or primary schooling and university or above were related to alcohol consumption rates for 2004 to 2011 ( p < 0.05). Employed women were more likely to consume alcohol than unemployed women in 2004, 2006, and 2011 ( p < 0.05). Data from 2004 to 2011 showed that tobacco and alcohol use were correlated ( p < 0.05) and that women aged 45–49 years old were more likely to consume tobacco than other women ( p < 0.05); Conclusions : The drinking behavior of Chinese women changed considerably over the period of 2004 to 2011. Our results provide further insight on the smoking and drinking behaviors of Chinese women at different reproductive stages and the factors that influence such behaviors. Therefore, our findings on trends and factors that influence rates of tobacco and alcohol use allow for a better understanding of the smoking and drinking behaviors of Chinese women.

Suggested Citation

  • Ruiyi Liu & Li Chen & Huan Zeng & Cesar Reis & Haley Reis & Xianjie Yang & Xinjie Lin & Huabing Li & Xuchen Meng & Manoj Sharma & Yong Zhao, 2018. "Tobacco and Alcohol Consumption Rates among Chinese Women of Reproductive Age in 2004–2011: Rate and Sociodemographic Influencing Factors," IJERPH, MDPI, vol. 16(1), pages 1-15, December.
  • Handle: RePEc:gam:jijerp:v:16:y:2018:i:1:p:56-:d:193323
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    References listed on IDEAS

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    1. World Health Organization, 2015. "WHO report on the global tobacco epidemic, 2015: Raising taxes on tobacco," University of California at San Francisco, Center for Tobacco Control Research and Education qt1fh1f32m, Center for Tobacco Control Research and Education, UC San Francisco.
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    Cited by:

    1. Fang Wang & Sumaira Mubarik & Yu Zhang & Lu Wang & Yafeng Wang & Chuanhua Yu & Hao Li, 2019. "Long-Term Trends of Liver Cancer Incidence and Mortality in China 1990–2017: A Joinpoint and Age–Period–Cohort Analysis," IJERPH, MDPI, vol. 16(16), pages 1-13, August.

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