特大城市
心理健康
大都市区
地理
四分位数
环境卫生
逻辑回归
土地覆盖
土地利用
社会经济学
医学
工程类
土木工程
内科学
精神科
经济
社会学
经济
考古
置信区间
作者
Tiana Carla Lopes Moreira,Jefferson L. Polize,Marceli Brito,Demóstenes Ferreira da Silva Filho,Alexandre D. P. Chiavegato Filho,Maria Carmem Viana,Laura Helena Andrade,Thaís Mauad
标识
DOI:10.1038/s41370-021-00349-x
摘要
Different land cover types in cities, including green areas, have impacts on mental health. Few studies, however, have been conducted in megacities in low-/middle-income countries, which have extremely complex urban arrangements. We analyzed land cover using the population database of the São Paulo Megacity Mental Health Survey (n = 4287) and the associations with the diagnosis of depression/anxiety. Automatic classification of the orthophotos of the metropolitan area was performed using the random forest algorithm to provide land cover variables. The association of mental health data with land cover was determined with logistic regression and multilevel regression models. The percentage of different green spaces, mainly grassed areas, within districts was negatively associated with the presence of anxiety (OR 0.994, 0.968, 0.994, respectively), while roofs, asphalt and shadow (OR 1.007, 1.021, 1.085, 1.021, 1.014, respectively) were positively associated with the presence of anxiety. These results were more significant in green areas within the fourth quartile [−0.352 (0.158) and −0.347 (0.155), respectively] and in the roofs in the fourth quartile [0.321 (0.159)]. No significant results were found for depression. Our data indicate the need for intensive greenery in spaces with different vegetation compositions in urban environments, especially megacities, to improve the mental health of urban dwellers.
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