Center for Outcomes Research and Education, Providence Health and Services, Portland, Oregon, USA.
Department of Epidemiology, University of Washington, Seattle, Washington, USA.
J Epidemiol Community Health. 2018 Mar;72(3):202-207. doi: 10.1136/jech-2017-209453. Epub 2017 Dec 22.
Depression is an important contributor to the global burden of disease. Besides several known individual-level factors that contribute to depression, there is a growing recognition that neighbourhood environment can also profoundly affect mental health. This study assessed associations between three neighbourhood constructs-socioeconomic deprivation, residential instability and income inequality-and depression among adult twin pairs. The twin design is used to examine the association between neighbourhood constructs and depression, controlling for selection factors (ie, genetic and shared environmental factors) that have confounded purported associations.
We used multilevel random-intercept Poisson regression among 3738 same-sex twin pairs from a community-based twin registry to examine the association between neighbourhood constructs and depression. The within-pair association controls for confounding by genetic and environmental factors shared between twins within a pair, and is the main parameter of interest. Models were adjusted for individual-level income, education and marital status, and further by neighbourhood-level population density.
When twins were analysed as individuals (phenotypic model), all neighbourhood constructs were significantly associated with depression. However, only neighbourhood socioeconomic deprivation showed a significant within-pair association with depression. A 10-unit within-pair difference in neighbourhood socioeconomic deprivation was associated with 6% greater depressive symptoms (1.06, 95% CI 1.01 to 1.11); the association did not substantially change in adjusted models.
This study provides new evidence linking neighbourhood socioeconomic deprivation with greater depression. Future studies should employ longitudinal designs to better test social causation versus social selection.
抑郁症是全球疾病负担的一个重要因素。除了一些已知的个体因素会导致抑郁症外,人们越来越认识到居住环境也会对心理健康产生深远影响。本研究评估了三个邻里结构(社会经济贫困、居住不稳定和收入不平等)与成年双胞胎抑郁之间的关联。采用双胞胎设计来检验邻里结构与抑郁之间的关联,控制了可能混淆所谓关联的选择因素(即遗传和共同环境因素)。
我们使用基于社区的双胞胎登记处的 3738 对同性别双胞胎的多层次随机截距泊松回归来检验邻里结构与抑郁之间的关联。对双胞胎进行分析时,采用个体间关联来控制双胞胎之间遗传和环境因素的混杂,这是主要关注的参数。模型调整了个体层面的收入、教育和婚姻状况,并进一步调整了邻里层面的人口密度。
当双胞胎作为个体(表型模型)进行分析时,所有邻里结构都与抑郁显著相关。然而,只有邻里社会经济贫困与抑郁存在显著的个体间关联。邻里社会经济贫困的个体间差异增加 10 个单位与抑郁症状增加 6%相关(1.06,95%CI 1.01 至 1.11);在调整后的模型中,该关联没有明显改变。
本研究提供了新的证据,表明邻里社会经济贫困与更大的抑郁有关。未来的研究应采用纵向设计,以更好地检验社会因果关系与社会选择。