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何美坤, 刘晓君, 杨莹, 曹沛宇, 赵秋玲, 毛宗福. 农村老年人危害健康行为数量聚集情况及影响因素[J]. 中国公共卫生, 2021, 37(1): 32-35. DOI: 10.11847/zgggws1126469
引用本文: 何美坤, 刘晓君, 杨莹, 曹沛宇, 赵秋玲, 毛宗福. 农村老年人危害健康行为数量聚集情况及影响因素[J]. 中国公共卫生, 2021, 37(1): 32-35. DOI: 10.11847/zgggws1126469
HE Mei-kun, LIU Xiao-jun, YANG Ying, . Co-prevalence of unhealthy behaviors and its influence factors among rural elderly residents[J]. Chinese Journal of Public Health, 2021, 37(1): 32-35. DOI: 10.11847/zgggws1126469
Citation: HE Mei-kun, LIU Xiao-jun, YANG Ying, . Co-prevalence of unhealthy behaviors and its influence factors among rural elderly residents[J]. Chinese Journal of Public Health, 2021, 37(1): 32-35. DOI: 10.11847/zgggws1126469

农村老年人危害健康行为数量聚集情况及影响因素

Co-prevalence of unhealthy behaviors and its influence factors among rural elderly residents

  • 摘要:
      目的  分析农村老年人缺乏锻炼、吸烟、饮酒、不良饮食习惯和非标准体重5种危害健康行为数量聚集情况及其相关因素,为减少危害健康行为发生率,提高农村老年人健康水平提供依据。
      方法  于2018年1 — 3月,采用方便抽样法对我国 ≥ 60岁农村老年人进行问卷调查,采用卡方检验和logistic回归分析其危害健康行为数量聚集情况及其相关因素。
      结果  本研究共纳入2 346名农村老年人,35.4 % 具有2种危害健康行为,34.7 % 具有3~5种危害健康行为。男性、受教育年限为0年、家庭人均年收入 < 3.0万元、患有慢性病、居住地为自然村的农村老年人更有可能具有多种危害健康行为(P均 < 0.05)。
      结论  农村老年人普遍存在危害健康行为聚集情况;性别、受教育年限、家庭人均年收入、是否患慢性病和居住地是危害健康行为聚集的相关因素,应有针对性开展行为和生活方式的综合性干预。

     

    Abstract:
      Objective  To investigate the co-prevalence of without regular physical exercise, smoking, alcohol drinking, unhealthy eating habits and abnormal body weight and its influence factors among rural elderly residents and to provide evidences for reducing the prevalence of unhealthy behaviors and improving the health level in the elderly.
      Methods  Using convenience sampling, we conducted a questionnaire survey among 2 346 residents aged 60 years and above in rural regions of Fujian, Henan, and Hebei province from January to March, 2018. Chi-square test and multivariate logistic regression analysis were used to analyze influencing factors of the co-prevalence of the 5 unhealthy behaviors.
      Results  Of the responders, 35.4% and 34.7% reported having two and three or more of the five unhealthy behaviors. Multivariate logistic analysis demonstrated that the responders of male gender, without formal education, with an average annual household income of less than 30 000 yuan RMB per capita, having chronic disease, and living in rural regions were more likely to have the co-occurrence of unhealthy behaviors (all P < 0.05).
      Conclusion  Clustering of unhealthy behaviors is common among rural elderly residents and the co-prevalence of unhealthy behaviors is associated with gender, education, household income per capita, chronic disease and residential region among the elderly. The results suggest that comprehensive intervention on the unhealthy behaviors should be promoted in the population.

     

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