Assessing biological pathways in the longitudinal association between neighborhood environment and depressive symptoms

评估邻里环境与抑郁症状纵向关联中的生物学途径

阅读:1

Abstract

BACKGROUND: Neighborhood environments are increasingly recognized as important determinants of mental health, yet the biological pathways linking neighborhood stressors to depressive symptoms remain underexplored. This study examined whether metabolic and inflammatory biomarkers are involved in the longitudinal association between perceived neighborhood physical disadvantage and depressive symptoms among older adults. METHODS: We analyzed longitudinal data from the Health and Retirement Study (HRS, 2006-2016), a nationally representative cohort study of older adults. The neighborhood environment was measured using a four-item physical disadvantage scale. Depressive symptoms were assessed with the eight-item CES-D scale. Four biomarkers were examined: hemoglobin A1c (HbA1c), C-reactive protein (CRP), total cholesterol (TC), and high-density lipoprotein cholesterol (HDL). Cross-lagged panel models were performed to assess longitudinal pathways, with and without covariate adjustment. RESULTS: Perceived neighborhood physical disadvantage and depressive symptoms were reciprocally associated over time. Greater perceived neighborhood physical disadvantage was associated with higher subsequent HbA1c (B = 0.01, 95% CI: 0.01, 0.03), and higher HbA1c was associated with higher subsequent depressive symptoms (B = 0.05, 95% CI: 0.01, 0.09). CRP was associated with later depressive symptoms (B = 0.03, 95% CI: 0.01, 0.06), but was not associated with prior neighborhood physical disadvantage. No significant associations were found for TC or HDL. DISCUSSION: HbA1c was associated with both perceived neighborhood physical disadvantage and later depressive symptoms. These findings highlight the importance of considering neighborhood context alongside glycemic regulation in understanding depression risk among older adults.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。