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

Authors
Song, HyeonjinLane, Kevin JamesKim, HonghyokKim, HyomiByun, GaramLe, MinhChoi, YongsooPark, Chan RyulLee, Jong-Tae
Issue Date
2-Jan-2019
Publisher
MDPI
Keywords
urban greenness; depressive symptoms; logistic regression; Normalized Difference Vegetation Index
Citation
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, v.16, no.2
Indexed
SCIE
SSCI
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
Volume
16
Number
2
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/68336
DOI
10.3390/ijerph16020173
ISSN
1661-7827
Abstract
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 (N = 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.
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