AUTHOR=Huang Li , Li Hansen , Liu Haowei , Tian Haodong , Luo Haoyue , Wu Jinlong , Luo Yue , Peng Li , Guo Liya 

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

JOURNAL=Frontiers in Public Health

VOLUME=11

YEAR=2024

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2023.1309824

DOI=10.3389/fpubh.2023.1309824

ISSN=2296-2565

ABSTRACT=<sec id="sec1"><title>Background</title><p>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.</p></sec><sec id="sec2"><title>Methods</title><p>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.</p></sec><sec id="sec3"><title>Results</title><p>A total of 1,402 participants were enrolled. Higher scores of HLS-SF12 (<italic>β</italic> = 0.467), having regular exercise (<italic>β</italic> = 0.212), and regular physical examination (<italic>β</italic> = 0.088) were associated with better health-prompting lifestyles. However, older age (≥60 years) (<italic>β</italic> = −0.046), drinking (<italic>β</italic> = −0.066), and sleeping time (5–6 h/day) (<italic>β</italic> = −0.048) were associated lower levels of health-prompting lifestyles. Living with family (<italic>β</italic> = 0.077), FHS-SF (<italic>β</italic> = 0.104), and married (<italic>β</italic> = −0.077) were significant influencers. Unemployed (<italic>β</italic> = −0.048), receiving retirement pay (<italic>β</italic> = −0.053), and economic support provided by parents (<italic>β</italic> = 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.</p></sec><sec id="sec4"><title>Conclusion</title><p>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.</p></sec>