农村地区成年人吸烟的横断面个人网络分析
Cross-sectional personal network analysis of adult smoking in rural areas
AI总结：
本研究对罗马尼亚农村社区76名成年人进行个人网络横断面分析，采用多层逻辑回归发现家庭成员吸烟状态显著影响个体吸烟行为，为农村控烟干预提供依据。
摘要：
尽管关于青少年吸烟的研究十分广泛，但对农村中老年人吸烟行为的关注却很少。本研究考察了罗马尼亚一个农村社区中个人网络和社会人口学因素在预测吸烟状态方面的作用。采用链接追踪抽样方法，我们从阿尔杰什县莱雷什蒂的83名参与者中收集了76人的数据。通过面对面访谈收集社会人口学数据和网络信息，包括吸烟状态与关系动态。我们应用多层逻辑回归模型，根据个体特征和网络影响预测吸烟行为（当前吸烟者、既往吸烟者和不吸烟者）。结果表明，社会网络对吸烟行为具有显著影响。对于当前吸烟者，家中有吸烟成员会大幅增加吸烟几率（OR=2.51，95% CI：1.62，3.91，p<0.001）。同样，不吸烟的家庭成员会提高成为不吸烟者的可能性（OR=1.64，95% CI：1.04，2.61，p<0.05）。女性吸烟的可能性较低，凸显了行为中的性别差异。这些发现强调了社会网络在塑造吸烟习惯方面的关键作用，倡导在农村地区开展有针对性的干预。
英文摘要：
While research on adolescent smoking is extensive, little attention has been given to smoking behaviors among rural middle-aged and older adults. This study examines the role of personal networks and sociodemographic factors in predicting smoking status in a rural Romanian community. Using a link-tracing sampling method, we gathered data from 76 participants out of 83 in Leresti, Arges County. Face-to-face interviews collected sociodemographic data and network information, including smoking status and relational dynamics. We applied multilevel logistic regression models to predict smoking behaviors (current smokers, former smokers, and non-smokers) based on individual characteristics and network influences. Results indicate that social networks significantly influence smoking behaviors. For current smokers, having a smoking family member greatly increased the odds of smoking (OR = 2.51, 95% CI: 1.62, 3.91, p < 0.001). Similarly, non-smoking family members increased the likelihood of being a non-smoker (OR = 1.64, 95% CI: 1.04, 2.61, p < 0.05). Women were less likely to smoke, highlighting sex differences in behavior. These findings emphasize the critical role of social networks in shaping smoking habits, advocating for targeted interventions in rural areas.
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