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Socioeconomic status, race, and mortality: a prospective cohort study.社会经济地位、种族与死亡率:一项前瞻性队列研究。
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Effects of buffer size and shape on associations between the built environment and energy balance.缓冲区大小和形状对建成环境与能量平衡之间关联的影响。
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Auditory and non-auditory effects of noise on health.噪声对健康的听觉和非听觉影响。
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Physical activity and the prevention of depression: a systematic review of prospective studies.体力活动与抑郁预防:前瞻性研究的系统综述。
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低收入非裔美国人和白人的建筑环境与抑郁症

Built Environment and Depression in Low-Income African Americans and Whites.

作者信息

James Peter, Hart Jaime E, Banay Rachel F, Laden Francine, Signorello Lisa B

机构信息

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts;.

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.

出版信息

Am J Prev Med. 2017 Jan;52(1):74-84. doi: 10.1016/j.amepre.2016.08.022. Epub 2016 Oct 5.

DOI:10.1016/j.amepre.2016.08.022
PMID:27720338
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5167658/
Abstract

INTRODUCTION

Urban environments are associated with a higher risk of adverse mental health outcomes; however, it is unclear which specific components of the urban environment drive these associations.

METHODS

Using data collected in 2002-2009 from 73,225 low-income, racially diverse individuals across the Southeastern U.S., analyses evaluated the cross-sectional relationship between a walkability index and depression. Walkability was calculated from population density, street connectivity, and destination count in the 1,200-meter area around participants' homes, and depression was measured using the Center for Epidemiologic Studies Depression Scale for depression symptomatology and questionnaire responses regarding doctor-diagnosed depression and antidepressant use. Data were analyzed in 2015.

RESULTS

Participants living in neighborhoods with the highest walkability index had 6% higher odds of moderate or greater depression symptoms (score ≥15, 95% CI=0.99, 1.14), 28% higher odds of doctor-diagnosed depression (95% CI=1.20, 1.36), and 16% higher odds of current antidepressant use (95% CI=1.08, 1.25), compared with those in the lowest walkability index. Higher walkability was associated with higher odds of depression symptoms in the most deprived neighborhoods only, whereas walkability was associated with lower odds of depression symptoms in the least deprived neighborhoods.

CONCLUSIONS

Living in a more walkable neighborhood was associated with modestly higher levels of doctor-diagnosed depression and antidepressant use, and walkability was associated with greater depression symptoms in neighborhoods with higher deprivation. Although dense urban environments may provide opportunities for physical activity, they may also increase exposure to noise, air pollution, and social stressors that could increase levels of depression.

摘要

引言

城市环境与心理健康不良后果的较高风险相关;然而,尚不清楚城市环境的哪些具体组成部分导致了这些关联。

方法

利用2002年至2009年从美国东南部73225名低收入、种族多样的个体收集的数据,分析评估了步行适宜性指数与抑郁症之间的横断面关系。步行适宜性是根据参与者家周围1200米区域内的人口密度、街道连通性和目的地数量计算得出的,抑郁症则使用流行病学研究中心抑郁量表来测量抑郁症状,并通过关于医生诊断的抑郁症和抗抑郁药物使用情况的问卷调查来衡量。数据于2015年进行分析。

结果

与步行适宜性指数最低的参与者相比,居住在步行适宜性指数最高社区的参与者出现中度或更严重抑郁症状(得分≥15,95%置信区间=0.99,1.14)的几率高6%,医生诊断为抑郁症的几率高28%(95%置信区间=1.20,1.36),目前使用抗抑郁药物的几率高16%(95%置信区间=(1.08,1.25)。仅在最贫困的社区,较高的步行适宜性与较高的抑郁症状几率相关,而在最不贫困的社区,步行适宜性与较低的抑郁症状几率相关。

结论

居住在步行更便利的社区与医生诊断的抑郁症和抗抑郁药物使用水平适度升高相关,并且在贫困程度较高的社区,步行适宜性与更严重的抑郁症状相关。尽管密集的城市环境可能提供体育活动的机会,但它们也可能增加接触噪音、空气污染和社会压力源的机会,从而可能增加抑郁症的发病率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50cf/5167658/ab2053ff0701/nihms812768f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50cf/5167658/ab2053ff0701/nihms812768f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50cf/5167658/ab2053ff0701/nihms812768f1.jpg