INSERM, Sorbonne Université, Institut Pierre Louis d'Épidémiologie et de Santé Publique, IPLESP, Department of social epidemiology, F75012 Paris, France.
EHESP School of Public Health, F35043 Rennes, France.
Int J Environ Res Public Health. 2020 Mar 17;17(6):1958. doi: 10.3390/ijerph17061958.
The risk of depression is related to multiple various determinants. The consideration of multiple neighborhoods daily frequented by individuals has led to increased interest in analyzing socio-territorial inequalities in health. In this context, the main objective of this study was (i) to describe and analyze the spatial distribution of depression and (ii) to investigate the role of the perception of the different frequented spaces in the risk of depression in the overall population and in the population stratified by gender. Data were extracted from the 2010 SIRS (a French acronym for "health, inequalities and social ruptures") cohort survey. In addition to the classic individual characteristics, the participants reported their residential neighborhoods, their workplace neighborhoods and a third one: a daily frequented neighborhood. A new approach was developed to simultaneously consider the three reported neighborhoods to better quantify the level of neighborhood socioeconomic deprivation. Multiple simple and cross-classified multilevel logistic regression models were used to analyze the data. Depression was reported more frequently in low-income (OR = 1.89; CI = [1.07-3.35]) or middle-income (OR = 1.91; CI = [1.09-3.36]) neighborhoods and those with cumulative poverty (OR = 1.64; CI = [1.10-2.45]). In conclusion, a cumulative exposure score, such as the one presented here, may be an appropriate innovative approach to analyzing their effects in the investigation of socio-territorial inequalities in health.
抑郁的风险与多种决定因素有关。考虑到个体日常频繁光顾的多个街区，人们对分析健康方面的社会-地域不平等现象的兴趣日益浓厚。在这种情况下，本研究的主要目的是：(i) 描述和分析抑郁的空间分布；(ii) 研究不同常去空间的感知在总体人群和按性别分层的人群中对抑郁风险的作用。数据取自于 2010 年 SIRS（法语“健康、不平等和社会断裂”的缩写）队列调查。除了经典的个体特征外，参与者还报告了他们居住的街区、工作场所的街区和第三个街区：他们日常常去的街区。开发了一种新方法来同时考虑三个报告的街区，以更好地量化邻里社会经济剥夺的程度。使用多种简单和交叉分类多水平逻辑回归模型来分析数据。报告的抑郁在低收入（OR = 1.89；CI = [1.07-3.35]）或中等收入（OR = 1.91；CI = [1.09-3.36]）街区和累积贫困（OR = 1.64；CI = [1.10-2.45]）的街区更为常见。总之，像这里提出的累积暴露评分可能是分析其在健康方面社会-地域不平等调查中的影响的一种合适的创新方法。
