The built environment and depressive symptoms among urban youth: A spatial regression study
The built environment and depressive symptoms among urban youth: A spatial regression study
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DOI：
10.1016/j.sste.2013.03.001
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发表时间：
2013-06-01
影响因子：
3.4
通讯作者：
Molnar, Beth E.
中科院分区：
文献类型：
--
作者：
Duncan, Dustin T.;Piras, Gianfranco;Molnar, Beth E.
这项研究评估了建筑环境特征和青少年抑郁症状之间的空间关系。这项研究中使用的数据来自2008年波士顿青年调查地理空间数据集，其中包括拥有完整住所信息的波士顿高中生(n=1170)。建筑环境的特征(如步行目的地的通道和社区设计特征)是为青年住宅的400米和800米的街道网络缓冲区创建的。我们计算了标准的普通最小二乘(OLS)回归和空间同时自回归模型。我们发现，在两个空间尺度上的所有建筑环境特征(所有p=0.001)、抑郁症状(p=0.034)以及最小二乘回归残差(所有p<；0.001)中，都存在显著的正空间自相关，因此，符合空间回归模型。空间回归模型的结果表明，建筑环境可能会产生抑郁效应，这种作用可能会因空间规模、性别和种族/民族而异(尽管有时会出现意想不到的方向，即与我们的预期相反)。虽然我们的结果总体上表明，建筑环境对年轻人抑郁症状的影响最小，但还需要进一步的研究，包括理解我们在意想不到的方向上的结果。(C)2013爱思唯尔有限公司。保留所有权利。
This study evaluated spatial relationships between features of the built environment and youth depressive symptoms. Data used in this study came from the 2008 Boston Youth Survey Geospatial Dataset, which includes Boston high school students with complete residential information (n = 1170). Features of the built environment (such as access to walking destinations and community design features) were created for 400- and 800-m street network buffers of the youths' residences. We computed standard Ordinary Least Squares (OLS) regression and spatial simultaneous autoregressive models. We found significant positive spatial autocorrelation in all of the built environment features at both spatial scales (all p = 0.001), depressive symptoms (p = 0.034) as well as in the OLS regression residuals (all p < 0.001), and, therefore, fit spatial regression models. Findings from the spatial regression models indicate that the built environment can have depressogenic effects, which can vary by spatial scale, gender and race/ethnicity (though sometimes in unexpected directions, i.e. associations opposite to our expectations). While our results overall suggest that the built environment minimally influences youth depressive symptoms, additional research is needed, including to understand our results in the unexpected direction. (C) 2013 Elsevier Ltd. All rights reserved.