Liu Jing, Yu Meiteng, Zhang Tao
Administrative Office, Shantou University School of Medicine Affiliated Yuebei People's Hospital, Shaoguan, China.
Department of Health Policy and Management, School of Public Administration, Hangzhou Normal University, Hangzhou, China.
Innov Aging. 2025 Apr 23;9(6):igaf039. doi: 10.1093/geroni/igaf039. eCollection 2025.
Limited longitudinal study exists on the combined effects of environmental factors and life-course socioeconomic status (SES) on multimorbidity in China. This study aims to explore the cumulative impact of age-friendly neighborhoods on multimorbidity over time, focusing on SES moderation.
Analyzing data from 10, 125 participants in the China Health and Retirement Longitudinal Survey (2011-2020), this study assessed multimorbidity through self-reported chronic diseases and evaluated neighborhood environments using 8 domains from the Age-Friendly Cities and Communities framework. Childhood and adulthood SES were measured using latent class analysis. Latent growth curve models examined the effects of neighborhood environment, life-course SES, and their interactions on multimorbidity.
The study found a statistically significant increase in multimorbidity over time, with an intercept of 0.514 and a slope of 0.085. Notably, government support showed an independent association with the baseline number of chronic diseases ( = -0.078, < .1). The interaction between government support and childhood SES was also significant ( = -0.183, < .05), suggesting that unfavorable childhood SES could reduce the protective effects of government support. Additionally, adulthood SES interacted with factors such as information infrastructure ( = -0.068, < .001) and neighborly support ( = -0.092, < .1), and transportation interacted with childhood SES ( = -0.028, < .05), all negatively affecting the rate of change in multimorbidity. These findings suggest that individuals with higher SES derive greater benefits from these age-friendly neighborhood environment domains compared to their lower SES counterparts.
Age-friendly neighborhoods with strong government support, neighborly support, and developed infrastructure slow multimorbidity progression. However, these benefits are influenced by life-course SES. Policymakers should consider disadvantaged populations' access to environmental resources and address potential neighborhood socioeconomic health inequalities.
关于环境因素和生命历程社会经济地位(SES)对中国多种疾病并存的综合影响,现有的纵向研究有限。本研究旨在探讨对年龄友好的社区随着时间推移对多种疾病并存的累积影响,重点关注社会经济地位的调节作用。
本研究分析了中国健康与养老追踪调查(2011 - 2020年)中10,125名参与者的数据,通过自我报告的慢性病评估多种疾病并存情况,并使用对年龄友好的城市和社区框架中的8个领域评估社区环境。儿童期和成年期的社会经济地位采用潜在类别分析进行测量。潜在增长曲线模型检验了社区环境、生命历程社会经济地位及其相互作用对多种疾病并存的影响。
研究发现,随着时间的推移,多种疾病并存情况在统计学上有显著增加,截距为0.514,斜率为0.085。值得注意的是,政府支持与慢性病的基线数量呈独立关联(β = -0.078,p <.1)。政府支持与儿童期社会经济地位之间的相互作用也很显著(β = -0.183,p <.05),这表明儿童期不利的社会经济地位会降低政府支持的保护作用。此外,成年期社会经济地位与信息基础设施等因素相互作用(β = -0.068,p <.001)以及邻里支持(β = -0.092,p <.1),交通与儿童期社会经济地位相互作用(β = -0.028,p <.05),均对多种疾病并存的变化率产生负面影响。这些发现表明,与社会经济地位较低的个体相比,社会经济地位较高的个体从这些对年龄友好的社区环境领域中获得的益处更大。
拥有强大政府支持、邻里支持和发达基础设施的对年龄友好的社区会减缓多种疾病并存的进展。然而,这些益处受到生命历程社会经济地位的影响。政策制定者应考虑弱势群体获取环境资源的情况,并解决潜在的社区社会经济健康不平等问题。