陈子玥, 谭银亮, 石芳慧, 朱静芬, 何亚平. 上海市大学生电子烟和卷烟的使用现状及其影响因素[J]. 环境与职业医学, 2020, 37(8): 777-781. DOI: 10.13213/j.cnki.jeom.2020.20034
引用本文: 陈子玥, 谭银亮, 石芳慧, 朱静芬, 何亚平. 上海市大学生电子烟和卷烟的使用现状及其影响因素[J]. 环境与职业医学, 2020, 37(8): 777-781. DOI: 10.13213/j.cnki.jeom.2020.20034
CHEN Zi-yue, TAN Yin-liang, SHI Fang-hui, ZHU Jing-fen, HE Ya-ping. Prevalence and influencing factors of e-cigarette and cigarette use among college students in Shanghai[J]. Journal of Environmental and Occupational Medicine, 2020, 37(8): 777-781. DOI: 10.13213/j.cnki.jeom.2020.20034
Citation: CHEN Zi-yue, TAN Yin-liang, SHI Fang-hui, ZHU Jing-fen, HE Ya-ping. Prevalence and influencing factors of e-cigarette and cigarette use among college students in Shanghai[J]. Journal of Environmental and Occupational Medicine, 2020, 37(8): 777-781. DOI: 10.13213/j.cnki.jeom.2020.20034

上海市大学生电子烟和卷烟的使用现状及其影响因素

Prevalence and influencing factors of e-cigarette and cigarette use among college students in Shanghai

  • 摘要: 背景

    我国15~24岁群体的烟草使用率呈上升趋势,尤其是新型烟草如电子烟,但目前对大学生群体电子烟及其与卷烟双重使用的研究有限。

    目的

    了解上海市大学生电子烟及卷烟使用的流行现状,并分析其影响因素。

    方法

    2017年9—12月采用分层整群抽样的方法,选取上海市本科及专科院校各6所共3 492名在校大学生进行自填式问卷调查,调查内容包括一般情况、烟草使用情况包括卷烟(现在吸烟、尝试吸烟)、电子烟及其与卷烟双重使用的情况。使用构成比、率描述研究对象的基本特征和烟草使用情况,使用卡方检验比较不同特征大学生的烟草使用率,并用多因素logistic回归分析大学生烟草使用的影响因素。

    结果

    上海市大学生尝试吸烟率、现在吸烟率、电子烟使用率及双重使用率分别为15.72%、8.79%、7.65%及5.47%。烟草双重使用者占电子烟使用者的71.53%。专科生电子烟使用率及双重使用率(9.34%,6.27%)高于本科生(4.33%,3.90%),男生(12.28%,9.13%)高于女生(2.67%,1.54%),月生活费≥1 500元的学生(10.76%,8.21%)高于月生活费 < 1 500元的学生(5.44%,3.53%)(P < 0.05);理工科学生的电子烟使用率(8.69%)也高于其他专业学生(6.45%)(P < 0.05)。男生、月生活费≥1 500元者、专科生、二年级及以上的学生是电子烟使用及双重使用的危险因素,电子烟使用的OR(95% CI)分别为5.28(3.74~7.44)、2.53(1.94~3.30)、2.55(1.84~3.54)及1.42(1.09~1.85);双重使用的OR(95% CI)分别为6.92(4.48~10.70)、2.82(2.06~3.86)、1.80(1.26~2.57)及1.41(1.04~1.92)。

    结论

    上海市大学生电子烟使用率和烟草双重使用率较高。不同性别、学校类型、生活费水平大学生的各项烟草使用率存在差异,性别、学校类型、生活费水平、年级是电子烟及双重使用的主要影响因素。

     

    Abstract: Background

    The prevalence of tobacco use, especially e-cigarette use, among 15-24 year-olds in China is on the rise, but few studies have focused on the use of e-cigarettes and the dual use of e-cigarettes and cigarettes by college students.

    Objective

    This study investigates the prevalence of cigarettes and e-cigarettes and analyze their influencing factors among college students in Shanghai.

    Methods

    A self-administered questionnaire survey was conducted among a total of 3 492 students from 6 universities and 6 colleges in Shanghai from September to December in 2017, who were selected by stratified cluster sampling. Their demographic information and the use of tobaccoincluding the use of cigarettes (currently smoking and smoking attempt), the use of e-cigarettes, and the dual use of them were asked in the questionnaire. Proportion and rate were used to describe their demographic characteristics and smoking prevalence. Chi-square test was used to compare the difference in smoking prevalence of the college students with selected characteristics. Multinomial logistic regression was used to analyze the influencing factors of tobacco use among the participants.

    Results

    The smoking attempt rate, current smoking rate, e-cigarette using rate, and dual using rate of the college students in Shanghai were 15.72%, 8.79%, 7.65%, and 5.47%, respectively. More than half (71.53%) of the e-cigarette users were dual users. College students (9.34%, 6.27%), male students (12.28%, 9.13%), and students with allowance ≥ 1 500 yuan per month (10.76%, 8.21%) showed higher e-cigarette using rates and dual using rates than undergraduates (4.33%, 3.90%), female students (2.67%, 1.54%), and students with allowance < 1 500 yuan per month (5.44%, 3.53%), respectively (P < 0.05). The e-cigarette using rate in students of science and engineering majors (8.69%) was also higher than that in students of other majors (6.45%) (P < 0.05). Male students, students with allowance ≥ 1 500 yuan per month, college students, and sophomores and above were risk factors for e-cigarette use and the dual use of cigarettes and e-cigarettes. Their e-cigarette using related ORs (95% CI) were 5.28 (3.74-7.44), 2.53 (1.94-3.30), 2.55 (1.84-3.54), and 1.42 (1.09-1.85), and their dual using related ORs (95% CI) were 6.92 (4.48-10.70), 2.82 (2.06-3.86), 1.80 (1.26-2.57), and 1.41 (1.04-1.92), respectively.

    Conclusion

    High e-cigarette using rate and dual using rate of college students are found in Shanghai. There are significant differences in all smoking rates between students of different genders, school types, and allowance levels. Gender, school type, allowance level, and grade are influencing factors for e-cigarette use and dual use.

     

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