社会因素对高中生多重危险行为的影响:以越南河内市高中生为例

D. Huong
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摘要

背景:青少年从事不同的危险行为引起了人们的关注。值得注意的是,同时存在的多种危险行为会对健康和未来生活产生不利影响。摘要目的:本研究旨在了解越南河内市高中生多重危险行为的发生率,并探讨社会因素与多重危险行为的关系。方法:采用横断面设计的定量调查方法,对1,333名河内市高中生进行调查。该调查于2016年底进行。采用多元线性回归模型对河内市高中生并发多重危险行为的社会影响因素进行分析。选取了18种不同的风险行为,构建了一个学生所从事的总风险行为的复合变量。结果:在所选的18种危险行为中,高中生平均有4.88种行为被报告。结合人口统计学因素和高中生不同社会关系的多元线性回归模型可以解释总危险行为复合变量差异的37.6%。本研究揭示了几个增加学生可能从事的风险行为数量的因素,包括与家庭成员或朋友的联系,社交媒体的持续时间以及在线网络中的朋友数量。与此相反,牢固的家庭关系为高中生提供了一个“避风港”,保护他们不参与越来越多的不同风险行为。结论:研究结果强烈建议在高中生中实施早期预防策略。识别出的并发风险行为应作为有针对性的预防行动,而不是侧重于控制个体风险行为。此外,建议家长和朋友的参与与学生一起作为目标受众,在高中生和年轻一代中开展并行风险行为控制和预防项目。
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Social factors associated to the multiple risk behaviors among high school students: A case study of Hanoi high school students, Vietnam
Background: Young people who engaged in different risk behaviors attracted concern nowadays. Noticeably, the concurrent multiple risk behaviors generate adverse effect to health and their future life. Aims: The objectives of this study were to investigate the prevalence of the concurrent multiple risk behaviors and to evaluate the association between social factors and the concurrent multiple risk behaviors among the high school students in Hanoi, Vietnam. Methods: A quantitative survey with a cross sectional design was applied involving a total of 1,333 Hanoi high school students. The survey was conducted in the end of 2016. The multivariate linear regression models were applied to examine the social factors associated with the concurrent multiple risk behaviors of Hanoi high school students. Eighteen different risk behaviors had been selected for constructing a composite variable of the total risk behaviors that students have engaged in. Results: On average, the high school students have been reported involving in 4.88 behaviors of the 18 selected observed risk behaviors. The multivariate linear regression models with demographic factors and different social connections of high school students could explain for about 37.6% of the difference in composite variable of the total risk behaviors. This present study reveals several factors that increase the number of risk behaviors the students may engage, including the connection to the family's members or friends, duration in social media, and the number of friends in the online network. In the contrast, strong family connection has been demonstrated to provide a "safe haven" for protecting the high school students from involving in increasing multiple different risk behaviors. Conclusion: The research findings strongly recommend early prevention strategies should be conducted among the high school students. The identified concurrent risk behaviors should be targeted as prevention actions rather than focusing on controlling individual risk behaviors. In addition, the involvement of their parents and friends are suggested to be the target audience together with students in concurrent risk behaviors controlling and preventing programs among the high school students and young generation. 
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