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中国促进健康生活方式的社会生态影响因素:一项使用方便样本的初步调查。

Socioecological influencers of health-promoting lifestyles in Chinese: a preliminary survey using convenient samples.

机构信息

College of Physical Education, Southwest University, Chongqing, China.

Key Lab of Physical Fitness Evaluation and Motor Function Monitoring, Southwest University, Chongqing, China.

出版信息

Front Public Health. 2024 Jan 8;11:1309824. doi: 10.3389/fpubh.2023.1309824. eCollection 2023.

DOI:10.3389/fpubh.2023.1309824
PMID:38259776
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10800470/
Abstract

BACKGROUND

Healthy lifestyles are considered important means to reduce the burden of diseases. This cross-sectional study was conducted based on the Ecological Model of Health Behavior (EMHB) to analyze the factors associated with the health-promoting lifestyles of Chinese residents.

METHODS

We carried out a cross-sectional investigation in July 2023. Our investigated factors included social-demographic characteristics (including sex, age, education level, employment status, marital status, personal monthly income, and daily behavioral habits [which were measured by a questionnaire)], health literacy [which was measured by the Chinese version of the Health Literacy Scale Short-Form scale (HLS-SF12)], and family health [which was measured by the Chinese version of the Short-Form of the Family Health Scale (FHS-SF)]. Our outcome was health promoting lifestyle, which was measured by a revised version of Health Promoting Lifestyle Profile-II (HPLP-IIR). Data were analyzed using stepwise regression.

RESULTS

A total of 1,402 participants were enrolled. Higher scores of HLS-SF12 ( = 0.467), having regular exercise ( = 0.212), and regular physical examination ( = 0.088) were associated with better health-prompting lifestyles. However, older age (≥60 years) ( = -0.046), drinking ( = -0.066), and sleeping time (5-6 h/day) ( = -0.048) were associated lower levels of health-prompting lifestyles. Living with family ( = 0.077), FHS-SF ( = 0.104), and married ( = -0.077) were significant influencers. Unemployed ( = -0.048), receiving retirement pay ( = -0.053), and economic support provided by parents ( = 0.094) were associated with better health-prompting lifestyles. There were multiple influencing factors of the six dimensions of the HPLP-IIR. Our findings indicate that community residents with higher health literacy, better family health, and health-related behaviors tend to have better health-promoting lifestyles.

CONCLUSION

Our findings have confirmed the complex impacts of social-ecological factors on health-promoting lifestyles, which may help policy makers with health-promotion strategies making and also help researchers to control for confounding in study design.

摘要

背景

健康的生活方式被认为是减轻疾病负担的重要手段。本横断面研究基于健康行为的生态模型(EMHB),分析与中国居民促进健康的生活方式相关的因素。

方法

我们于 2023 年 7 月进行了横断面调查。我们的调查因素包括社会人口学特征(包括性别、年龄、教育水平、就业状况、婚姻状况、个人月收入和日常行为习惯[通过问卷测量])、健康素养[通过中文版健康素养量表短表(HLS-SF12)测量]和家庭健康[通过中文版家庭健康量表短表(FHS-SF)测量]。我们的结果是促进健康的生活方式,通过健康促进生活方式量表-II(HPLP-IIR)的修订版进行测量。使用逐步回归分析数据。

结果

共纳入 1402 名参与者。HLS-SF12 得分较高(=0.467)、有规律的运动(=0.212)和定期体检(=0.088)与更好的促进健康的生活方式相关。然而,年龄较大(≥60 岁)(=−0.046)、饮酒(=−0.066)和睡眠时间(5-6 小时/天)(=−0.048)与较低水平的促进健康的生活方式相关。与家人同住(=0.077)、FHS-SF(=0.104)和已婚(=−0.077)是显著的影响因素。失业(=−0.048)、领取退休金(=−0.053)和父母提供的经济支持(=0.094)与更好的促进健康的生活方式相关。HPLP-IIR 的六个维度有多个影响因素。我们的研究结果表明,具有较高健康素养、较好家庭健康和健康相关行为的社区居民往往具有更好的促进健康的生活方式。

结论

我们的研究结果证实了社会生态因素对促进健康的生活方式的复杂影响,这可能有助于政策制定者制定促进健康的策略,也有助于研究人员在研究设计中控制混杂因素。

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