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首页> 外文期刊>Drug and alcohol dependence >Patterns of cigarette smoking among students from 19 colleges and universities in Jiangsu Province, China: a latent class analysis.
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Patterns of cigarette smoking among students from 19 colleges and universities in Jiangsu Province, China: a latent class analysis.

机译:江苏省19所高校学生的吸烟模式:潜在班级分析。

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Entrance into college may be associated with elevated risk of progression in cigarette use among Chinese students. The purpose of this study was to examine patterns and dynamics of cigarette smoking by age and grade among college students in China. Cross-sectional data from 1845 students (44% females) in 19 colleges and universities in Jiangsu Province were derived from the Chinese Youth Health Risk Behavior Survey in 2001. Data were analyzed using latent class analysis (LCA). Overall 11 mutually exclusive types (latent classes) of cigarette users were derived and their proportions estimated from four variables: lifetime smoking, past 30-day smoking, attempting to quit in the past, and intention to smoke in the future. Two types (resistant never-smokers, self-stopped resistant nonsmokers) were observed across age groups and grades for both males and females while other smoking types varied with gender, age and grade. Advanced cigarette smoking types appeared in older age groups and higher grades. The cross-sectional age and grade trend suggests substantial progression in cigarette smoking among Chinese college students, underscoring the need for prevention among these students. Results also suggest that LCA may be an effective methodology for analyzing behavioral types and their dynamics with a limited number of variables.
机译:入读大学可能与中国学生中卷烟使用风险增加有关。这项研究的目的是研究中国大学生按年龄和年级划分的吸烟方式和动态。江苏省19所高校的1845名学生(44%的女性)的横断面数据来自2001年的《中国青少年健康风险行为调查》。数据使用隐性类分析(LCA)进行了分析。得出了总共11种互斥类型(潜在类别)的卷烟使用者,并且根据四个变量估算了它们的比例:终生吸烟,过去30天吸烟,过去尝试戒烟和将来吸烟的意愿。在男女年龄段和等级之间观察到两种类型(抵抗永不吸烟者,自我阻止的抵抗不吸烟者),而其他吸烟类型则随性别,年龄和等级而变化。高级吸烟类型出现在较高年龄段的人群中。横断面年龄和年级趋势表明,中国大学生中的吸烟状况显着发展,强调了这些学生中预防的必要性。结果还表明,LCA可能是一种分析行为类型及其动力学且变量数量有限的有效方法。

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