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方凯, 马爱娟, 董忠. 北京市成年人健康生活方式及其影响因素分析[J]. 中国公共卫生. DOI: 10.11847/zgggws1141461
引用本文: 方凯, 马爱娟, 董忠. 北京市成年人健康生活方式及其影响因素分析[J]. 中国公共卫生. DOI: 10.11847/zgggws1141461
FANG Kai, MA Aijuan, DONG Zhong. Prevalence and influencing factors of healthy lifestyle among adult residents in Beijing city, 2017: a cross-sectional survey[J]. Chinese Journal of Public Health. DOI: 10.11847/zgggws1141461
Citation: FANG Kai, MA Aijuan, DONG Zhong. Prevalence and influencing factors of healthy lifestyle among adult residents in Beijing city, 2017: a cross-sectional survey[J]. Chinese Journal of Public Health. DOI: 10.11847/zgggws1141461

北京市成年人健康生活方式及其影响因素分析

Prevalence and influencing factors of healthy lifestyle among adult residents in Beijing city, 2017: a cross-sectional survey

  • 摘要:
      目的  了解北京市成年居民的健康生活方式分布特征。
      方法   利用2017年北京市成人慢性病及其危险因素监测数据,数据于2017年8 — 12月在北京市16区采用多阶段分层整群随机抽样方法抽取13240名18~79岁常住居民进行问卷调查、体格检查和实验室检测获得,分析18~79岁居民的生活方式因素和生活方式综合评分分布特征,比较健康社区与非健康社区人群生活方式是否存在差异。
      结果  纳入分析的12570人中,经复杂抽样加权计算,现在不吸烟、不过量饮酒、健康饮食、积极身体活动、正常体重和非中心性肥胖的比例分别为77.0%(9413/12570)、91.8%(11525/12570)、46.0%(5532/12570)、26.3%(3161/12570)、36.7%(4751/12570)和36.0%(4847/12570),健康生活方式评分为(3.14 ± 0.03)分,具有3种健康生活方式的比例最高,为28.8%(3513/12570),具有6种健康生活方式的比例为2.8%(308/12570)。女性(OR = 4.130,95%CI = 3.581~4.763)、受教育程度高者(初高中vs.小学及以下OR = 1.408,95%CI = 1.204~1.646;大专及以上vs.小学及以下OR = 2.067,95%CI = 1.775~2.407)和居住在健康社区者(OR = 1.181,95%CI = 1.025~1.362)健康生活方式评分较高,中年(40~59岁)较青年(18~39岁)(OR = 0.806,95%CI = 0.725~0.896)以及居住在郊区者(OR = 0.796,95%CI = 0.671~0.943)健康生活方式评分较低。经多重线性回归分析,调整其他人口社会学特征因素后居住在健康社区的人群健康生活方式评分高于居住在非健康社区的人群(β = 0.107,95%CI = 0.005~0.209),差异有统计学意义(P = 0.041)。
      结论  北京市成年人在身体活动、体重、腰围方面达到健康生活方式的比例偏低,同时具备6种健康生活方式的人群比例低,健康生活方式水平存在性别、年龄、受教育程度和居住区域环境差异。

     

    Abstract:
      Objective  To understand the distribution characteristics of healthy lifestyles among adult residents in Beijing.
      Methods  Using data from the surveillance of chronic diseases and their risk factors among adults in Beijing in 2017, a multistage stratified cluster random sampling method was used to select 13 240 permanent residents aged 18 – 79 in 16 districts of Beijing from August to December in 2017 for questionnaire surveys, physical examinations, and laboratory tests. The respondents′ lifestyles were assessed using a comprehensive rating scale, with scores ranging from 0 to 6, indicating the degree of healthy lifestyle from low to high. The lifestyle factors and comprehensive lifestyle score distribution characteristics of the residents were analyzed, and lifestyle differences between residents in healthy and non-healthy communities were compared.
      Results  Among the 12 570 participants analyzed, the complex-weighted proportions of non-smokers, non-excessive alcohol drinkers, individuals with a healthy diet, individual with active physical activity, normal weight individuals, and those without central obesity were 77.0% (n = 9 413), 91.8% (n = 11 525), 46.0% (n = 5 532), 26.3% (n = 3 161), 36.7% (n = 4 751), and 36.0% (n = 4 847), respectively. The mean healthy lifestyle score was 3.14 ± 0.03 for all participants, and the highest proportion of participants (28.8%, n = 3 513) were scaled with a score of 3; the proportion of participants with a score of 6, indicating six components of a healthy lifestyle, was only 2.8% (n = 308). The results of univariate analysis showed that the individuals with the following characteristics were more likely to have a higher healthy lifestyle score: being female (odds ratio OR = 4.130, 95% confidence interval 95%CI: 3.581 – 4.763), having a higher educational level (junior high school vs. elementary school and below: OR = 1.408, 95%CI: 1.204 – 1.646; college and above vs. elementary school and below OR = 2.067, 95%CI: 1.775 – 2.407), and living in healthy communities (OR = 1.181, 95%CI: 1.025 – 1.362); while compared to the younger individuals (18 – 39 years) and those living in urban areas, the middle-aged individuals (40 – 59 years) and those living in suburban areas were more likely to have lower scores, with the ORs (95%CI) of 0.806 (0.725 – 0.896) and 0.796 (0.671 – 0.943), respectively. Multivariate linear regression analysis revealed that after adjusting for other demographic and sociological factors, healthy lifestyle scores were higher among people living in healthy communities than those living in non-healthy communities (β = 0.107, 95%CI: 0.005 – 0.209), and the difference was statistically significant (P = 0.041).
      Conclusion  The prevalence of a healthy lifestyle, including physical activity, body weight, and waist circumference, among adults in Beijing is relatively low. In addition, the proportion of people who adhere to all six components of a healthy lifestyle remains disappointingly low. Furthermore, there are disparities in the adoption of healthy lifestyles by gender, age group, educational background, and residential area.

     

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