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      Changes in the Sociodemographic Factors of Tobacco and Alcohol Consumption in Chinese Adolescents from 2004 to 2011

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          Abstract

          Finding ways to reduce tobacco and alcohol consumption among adolescents has been a major public health challenge in China. In relation to this issue, the current study evaluated the changes in the sociodemographic factors of tobacco and alcohol consumption among Chinese adolescents who are 12–18 years old. Trends in sociodemographic factors associated with tobacco and alcohol consumption were investigated based on the 2004–2011 China Health and Nutrition Survey data. Questionnaires that extracted data on tobacco and alcohol consumption (i.e., prior experience of smoking cigarettes and drinking alcoholic beverages) were distributed. Additional variables (e.g., age, residence, gender, etc.) were used in the analyses. Firth penalized logistic regression was conducted with drinking and smoking status variables as the dependent variables. Male adolescents were more inclined to smoke in 2004, 2006, 2009, and 2011 ( p < 0.05 for all). Adolescents aged 15–16 years were more inclined to smoke compared with those aged 12–14 years in 2004, 2006, and 2011 ( p < 0.05 for all). Among adolescents aged 15–18 years, older ones were more inclined to not smoke in 2004 (odds ratio (OR) = 0.531, 95% confidence interval (CI) 0.343–0.821). Adolescents who did not attend school were more inclined to smoke in 2004, 2006, 2009, and 2011 ( p < 0.05 for all). Adolescents who were drinkers were more inclined to smoke in 2004, 2006, 2009, and 2011 ( p < 0.05 for all). Male adolescents were more likely to drink in 2004, 2006, and 2009 ( p < 0.05 for all). In 2006 and 2009, adolescents aged 15–16 years were more inclined to drink compared with those aged 12–14 years ( p < 0.05 for all). Among adolescents aged 15–18 years, older ones were less inclined to drink in 2004 (OR = 0.719, 95% CI 0.527–0.980) and 2006 (OR = 0.716, 95% CI 0.527–0.972). Adolescents who smoked were more likely to drink in 2004, 2006, 2009, and 2011 ( p < 0.05 for all). The prevalence of tobacco and alcohol consumption among adolescents has not changed significantly. The current study identified adolescent high-risk groups for tobacco and alcohol consumption.

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          Age at first alcohol use: a risk factor for the development of alcohol disorders.

          This study aimed to describe the natural course of DSM-III-R alcohol disorders as a function of age at first alcohol use and to investigate the influence of early use as a risk factor for progression to the development of alcohol disorders, exclusive of the effect of confounding influences. Data were obtained from a community sample (N=5,856) of lifetime drinkers participating in the 1990-1991 Mental Health Supplement of the Ontario Health Survey. Survival analyses revealed a rapid progression to alcohol-related harm among those who reported having their first drink at ages 11-14. After 10 years, 13.5% of the subjects who began to drink at ages 11 and 12 met the criteria for a diagnosis of alcohol abuse, and 15.9% had a diagnosis of dependence. Rates for subjects who began to drink at ages 13 and 14 were 13.7% and 9.0%, respectively. In contrast, rates for those who started drinking at ages 19 and older were 2.0% and 1.0%. Unexpectedly, a delay in progression to harm was observed for the youngest drinkers (ages 10 and under). Hazard regression analyses revealed a nonlinear effect of age at first alcohol use, marked by an elevated risk of developing disorders among subjects first using alcohol at ages 11-14. First use of alcohol at ages 11-14 greatly heightens the risk of progression to the development of alcohol disorders and therefore is a reasonable target for intervention strategies that seek to delay first use as a means of averting problems later in life.
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            Gender differences in risk factors and consequences for alcohol use and problems.

            Women drink less alcohol and have fewer alcohol-related problems than men. Women appear to be less likely than men to manifest certain risk factors for alcohol use and problems and are more likely to have certain protective factors against these problems: women perceive greater social sanctions for drinking; women are less likely to have characteristics associated with excessive drinking including aggressiveness, drinking to reduce distress, behavioral undercontrol, sensation-seeking and antisociality; and women are more likely to have desirable feminine traits (e.g., nurturance) protective against excessive drinking. In addition, consequences of heavy alcohol use, or alcohol use disorders, appear to be more negative for women than men, at least in some domains: women suffer alcohol-related physical illnesses at lower levels of exposure to alcohol than men, and some studies suggest women suffer more cognitive and motor impairment due to alcohol than men; women may be more likely than men to suffer physical harm and sexual assault when they are using alcohol; heavy alcohol use in women is associated with a range of reproductive problems. Implications of these findings for future research and public health education campaigns are discussed.
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              Tobacco use and second-hand smoke exposure in young adolescents aged 12-15 years: data from 68 low-income and middle-income countries.

              Tobacco use is an important risk factor for non-communicable diseases worldwide. However, the global extent and prevalence of tobacco use in adolescents is poorly described. Using previously collected survey data, we aimed to assess tobacco use and second-hand smoke exposure in young adolescents aged 12-15 years in 68 low-income and middle-income countries.
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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                08 June 2018
                June 2018
                : 15
                : 6
                : 1211
                Affiliations
                [1 ]School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China; nameclx@ 123456foxmail.com (L.C.); lry981118@ 123456foxmail.com (R.L.); m.pozhidayeva@ 123456gmail.com (M.P.); jinqiu.x@ 123456foxmail.com (J.X.); caoweivie@ 123456foxmail.com (W.C.); ava11@ 123456126.com (F.Z.)
                [2 ]Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China
                [3 ]The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China
                [4 ]Preventive Medicine Department, Loma Linda University Medical Center, Loma Linda, CA 92354, USA; cesarreis@ 123456hotmail.com
                [5 ]Department of Behavioral and Environmental Health, Jackson State University, Jackson, MS 39213, USA; manoj.sharma@ 123456jsums.edu
                Author notes
                [* ]Correspondence: zhaoyong@ 123456cqmu.edu.cn ; Tel.: +86-23-6848-5008; Fax: +86-23-6848-5031
                [†]

                These authors equally contributed to this work.

                Author information
                https://orcid.org/0000-0002-8607-8997
                https://orcid.org/0000-0001-8314-6176
                https://orcid.org/0000-0002-7839-5730
                Article
                ijerph-15-01211
                10.3390/ijerph15061211
                6025571
                29890697
                bd2d49d0-d344-4b40-a54e-53056f746ee0
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 12 May 2018
                : 06 June 2018
                Categories
                Article

                Public health
                sociodemographic factor,tobacco consumption,alcohol consumption,adolescent,china
                Public health
                sociodemographic factor, tobacco consumption, alcohol consumption, adolescent, china

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