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Association between Urban Greenness and Depressive Symptoms: Evaluation of Greenness Using Various Indicators

An increasing number of studies have suggested benefits of greenness exposure on mental health. We examined the association between urban greenness and depressive symptoms in adults in the general population living in the seven major cities in Korea ( = 65,128). Using data from the Korean Community...

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Bibliographic Details
Published in:International journal of environmental research and public health 2019-01, Vol.16 (2), p.173
Main Authors: Song, Hyeonjin, Lane, Kevin James, Kim, Honghyok, Kim, Hyomi, Byun, Garam, Le, Minh, Choi, Yongsoo, Park, Chan Ryul, Lee, Jong-Tae
Format: Article
Language:English
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Summary:An increasing number of studies have suggested benefits of greenness exposure on mental health. We examined the association between urban greenness and depressive symptoms in adults in the general population living in the seven major cities in Korea ( = 65,128). Using data from the Korean Community Health Survey 2009, depressive symptoms were measured on the Center for Epidemiological Studies Depression Scale (CES-D). Greenness was assessed using Normalized Difference Vegetation Index (NDVI) and land-use data (forest area and forest volume). Logistic regression models were fitted to adjust for potential confounders. Individuals in regions with the highest NDVI (quartile 4) had the lowest odds for depressive symptoms compared to quartile 1, after adjusting for potential confounders (OR = 0.813; 95% CI: 0.747, 0.884). For all greenness indicators except for forest area per district area (%), the highest rate of depressive symptoms was found for the individuals in the lowest quartile of greenness (quartile 1) and the lowest rate of depressive symptoms for those in the highest quartile of greenness (quartile 4). We found an inverse association between urban greenness and depressive symptoms, which was consistent across a variety of greenness indicators. Our study suggests health benefits of greenness and could provide a scientific basis for policy making and urban planning.
ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph16020173