首页> 外文期刊>The Lancet Planetary Health >Residential greenness and prevalence of major depressive disorders: a cross-sectional, observational, associational study of 94?879 adult UK Biobank participants
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Residential greenness and prevalence of major depressive disorders: a cross-sectional, observational, associational study of 94?879 adult UK Biobank participants

机译:居住环境的绿色和主要抑郁症的患病率:一项针对94至879名英国生物银行成年参与者的横断面,观察性,关联性研究

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Summary Background Increased urbanisation and the associated reduced contact of individuals with natural environments have led to a rise in mental disorders, including depression. Residential greenness, a fundamental component of urban design, has been shown to reduce the public health burden of mental disorders. The present study investigates the association between residential green exposure and prevalence of major depressive disorders using a large and diverse cross-sectional dataset from the UK Biobank. Methods In this cross-sectional, observational, associational study, we used baseline data from the UK Biobank cohort of participants aged 37–73 years from across the UK. Environmental exposure data were derived from a modelled and linked built environment database. Residential greenness was assessed with a 0·5 m resolution Normalised Difference Vegetation Index, which is derived from spectral reflectance measurements in remotely sensed colour infrared data and measured within geocoded dwelling catchments. Other environment metrics included street-level movement density, terrain, and fine particulate exposures. A series of logistic models examined associations between residential greenness and odds of major depressive disorder after adjusting for activity-influencing environments and individual covariates. Findings Of 122?993 participants with data on major depressive disorder, the study analytical sample comprised 94?879 (77·1%) participants recruited across ten UK Biobank assessment centres between April 29, 2009, and Oct 1, 2010. A protective effect of greenness on depression was consistently observed, with 4·0% lower odds of major depressive disorder per interquartile increment in Normalised Difference Vegetation Index greenness (odds ratio 0·960, 95% CI 0·93–0·99; p=0·0044). Interaction analyses indicated that the beneficial effects of greenness were more pronounced among women, participants younger than 60 years, and participants residing in areas with low neighbourhood socioeconomic status or high urbanicity. Interpretation The results point to the benefits of well designed green environments on mental health. Further longitudinal studies are needed to decipher causal pathways. In the UK, policies aimed at optimising allocation and design of green spaces might help preserve psychological ecosystem services, thereby, improving the mental wellbeing of populations and enhancing the mental capital of cities. Funding University of Hong Kong, UK Biobank, and the UK Economic & Social Research Council.
机译:背景技术城市化程度的提高以及与自然环境的接触减少,导致精神障碍(包括抑郁症)的增加。住宅绿色是城市设计的基本组成部分,已显示出它可以减轻精神疾病的公共卫生负担。本研究使用来自英国生物库的大量不同横截面数据集,研究了居民绿色暴露与主要抑郁症患病率之间的关联。方法在这项横断面,观察性,关联性研究中,我们使用了来自英国Biobank队列的基线数据,该队列来自英国各地37-73岁的参与者。环境暴露数据来自建模和链接的构建环境数据库。住宅绿度的评估是使用0·5 m分辨率归一化植被指数,该指数是根据遥感彩色红外数据中的光谱反射率测量结果并在经过地理编码的居住流域内测量得到的。其他环境指标包括街道一级的移动密度,地形和细颗粒物暴露。在调整了影响活动的环境和个体协变量之后,一系列逻辑模型研究了居住区绿色与主要抑郁症几率之间的关联。调查结果在122名993名参与者中,有重度抑郁症的数据,该研究分析样本由2009年4月29日至2010年10月1日在英国十家生物银行评估中心招募的94 879名(77•1%)参与者组成。一致观察到绿化对抑郁的影响,归一化植被指数绿度每四分位增量的主要抑郁障碍几率降低4·0%(几率0·960,95%CI 0·93-0.99; p = 0· 0044)。相互作用分析表明,绿色的有益影响在女性,年龄小于60岁的参与者以及居住在邻里社会经济地位较低或城市化程度较高的地区的参与者中更为明显。解释结果表明,精心设计的绿色环境对精神健康有好处。需要进一步的纵向研究来破除因果关系的途径。在英国,旨在优化绿色空间分配和设计的政策可能有助于保护心理生态系统服务,从而改善人口的心理健康并增强城市的心理资本。资助香港大学,英国生物银行和英国经济与社会研究理事会。

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