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基于结构方程模型云南省4个民族农村老年人尼古丁依赖情况及其影响因素分析

Prevalence and determinants of nicotine dependence among rural elderly of four ethnic groups in Yunnan province: a cross-sectional study with structural equation modeling analysis

  • 摘要:
    目的 了解云南省汉族、傣族、哈尼族和白族4个民族农村老年人尼古丁依赖情况及其影响因素,为制定减轻尼古丁依赖症状的防控策略提供参考依据。
    方法 于2021年7月 — 2022年5月采用多阶段分层随机抽样方法在云南省抽取5 800名汉族、傣族、哈尼族和白族 ≥ 60岁农村老年人进行问卷调查,采用主成分分析法构建社会经济地位综合得分,并应用结构方程模型分析4个民族农村老年人尼古丁依赖的影响因素。
    结果 最终纳入分析的云南省5 642名4个民族农村老年人中,有尼古丁依赖者935人,尼古丁依赖率为16.57%。汉族、傣族、哈尼族和白族农村老年人的尼古丁依赖率分别为17.34%、11.64%、16.41%和20.87%,不同民族农村老年人的尼古丁依赖率差异有统计学意义(χ2 = 44.410,P < 0.001)。结构方程模型分析结果显示,性别、民族、社会经济地位和是否尝试戒烟对老年人尼古丁依赖有直接和间接影响,其总路径系数分别为 – 0.33、 – 0.03、0.08和 – 0.06;其中,性别通过每日吸烟量产生间接影响,民族和是否尝试戒烟通过社会支持产生间接影响,社会经济地位通过社会支持和每日吸烟量产生间接影响,其作用路径系数分别为 – 0.07、 – 0.01、 – 0.01和0.03;社会支持和每日吸烟量对老年人尼古丁依赖有直接影响,其路径系数分别为 – 0.06和0.18。
    结论 云南省4个民族农村老年人的尼古丁依赖情况存在明显的民族差异,尤其应加强男性、每日吸烟量多、社会经济地位高、社会支持评分低、未尝试戒烟和白族老年人尼古丁依赖的预防和控制工作。

     

    Abstract:
    Objective To understand the prevalence and influencing factors of nicotine dependence among rural elderly of Han, Dai, Hani, and Bai ethnicity in Yunnan province, to provide a reference for developing strategies to alleviate nicotine dependence symptoms in the population.
    Methods A face-to-face survey was conducted among 5 800 residents aged ≥ 60 years recruited by multistage stratified random sampling from the above four ethnic groups in rural areas of Yunnan province from July 2021 to May 2022. The Fagerstrm Test of Nicotine Dependence (FTND), the Social Support Rating Scale (SSRS) developed by Chinese scholars, and a self-developed questionnaire were used in the study. A composite socioeconomic status (SES) score was constructed using principal component analysis, and the factors influencing nicotine dependence among these ethnic groups were analyzed using structural equation modeling (SEM).
    Results Of the 5 642 participants finally included in the analysis, 935 (16.57%) were classified as having nicotine dependence, and the prevalence of nicotine dependence among participants from Han, Dai, Hani, and Bai ethnic groups was 17.34%, 11.64%, 16.41%, and 20.87%, respectively, with a significant difference in prevalence among ethnic groups (χ2 = 44.410, P < 0.001). The results of the SEM analysis indicated that gender, ethnicity, SES, and smoking cessation attempt had both direct and indirect effects on nicotine dependence, with overall standardized path coefficients of – 0.33, – 0.03, 0.08, and – 0.06, respectively. Gender had an indirect effect through number of cigarettes smoked per day, while ethnicity and attempt to quit smoking influenced nicotine dependence indirectly through social support, and SES had indirect effects through both social support and number of cigarettes smoked per day, with standardized path coefficients of – 0.07, – 0.01, – 0.01, and 0.03, respectively. Social support and number of cigarettes smoked per day had direct effects on nicotine dependence, with standardized path coefficients of – 0.06 and 0.18, respectively.
    Conclusion There are significant ethnic differences in nicotine dependence among rural elderly in Yunnan province, especially among males, those with a higher number of cigarettes smoked per day, at a higher SES, having a lower score of social support, those who have not tried to quit smoking, and the Bai minority group, highlighting the need for targeted prevention and control measures.

     

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