Center for Research on Environment, Society and Health, School of GeoSciences, University of Edinburgh, Edinburgh, United Kingdom.
Swiss National Centre of Competence in Research "LIVES-Overcoming Vulnerability: Life Course Perspectives," Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland.
Am J Epidemiol. 2020 Apr 2;189(4):343-353. doi: 10.1093/aje/kwz209.
Although residential environment might be an important predictor of depression among older adults, systematic reviews point to a lack of longitudinal investigations, and the generalizability of the findings is limited to a few countries. We used longitudinal data collected between 2012 and 2017 in 3 surveys including 15 European countries and the United States and comprising 32,531 adults aged 50 years or older. The risk of depression according to perceived neighborhood disorder and lack of social cohesion was estimated using 2-stage individual-participant-data meta-analysis; country-specific parameters were analyzed by meta-regression. We conducted additional analyses on retired individuals. Neighborhood disorder (odds ratio (OR) = 1.25) and lack of social cohesion (OR = 1.76) were significantly associated with depression in the fully adjusted models. In retirement, the risk of depression was even higher (neighborhood disorder: OR = 1.35; lack of social cohesion: OR = 1.93). Heterogeneity across countries was low and was significantly reduced by the addition of country-level data on income inequality and population density. Perceived neighborhood problems increased the overall risk of depression among adults aged 50 years or older. Policies, especially in countries with stronger links between neighborhood and depression, should focus on improving the physical environment and supporting social ties in communities, which can reduce depression and contribute to healthy aging.
虽然居住环境可能是老年人抑郁的一个重要预测因素,但系统评价指出,缺乏纵向研究,研究结果的普遍性仅限于少数几个国家。我们使用了 2012 年至 2017 年期间在 3 项调查中收集的纵向数据,这些调查包括 15 个欧洲国家和美国,共有 32531 名 50 岁或以上的成年人。使用两阶段个体参与者数据荟萃分析估计了感知邻里混乱和缺乏社会凝聚力与抑郁的关系;通过荟萃回归分析了各国的具体参数。我们对退休人员进行了额外的分析。在完全调整的模型中,邻里混乱(比值比 [OR] = 1.25)和缺乏社会凝聚力(OR = 1.76)与抑郁显著相关。在退休期间,抑郁的风险甚至更高(邻里混乱:OR = 1.35;缺乏社会凝聚力:OR = 1.93)。各国之间的异质性较低,通过增加有关收入不平等和人口密度的国家一级数据,异质性显著降低。感知邻里问题增加了 50 岁及以上成年人总体抑郁风险。政策,尤其是在邻里与抑郁关系更强的国家,应侧重于改善物理环境和支持社区中的社会联系,这可以减轻抑郁并有助于健康老龄化。