Di Niu, Li Shanshan, Xiang Hao, Xie Yinyu, Mao Zhenxing, Hou Jian, Liu Xiaotian, Huo Wenqian, Yang Boyi, Dong Guanghui, Wang Chongjian, Chen Gongbo, Guo Yuming
Global Health Institute; Department of Global Health, School of Health Sciences, Wuhan University, Wuhan 430071, Hubei, China.
Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Innovation (Camb). 2020 Nov 2;1(3):100054. doi: 10.1016/j.xinn.2020.100054. eCollection 2020 Nov 25.
Depression and anxiety are top contributors to non-fatal health loss globally. Several studies have indicated the association between residential greenness and mental health.
The participants (n = 27,366) were recruited from four counties in Henan Province, China during 2015-2017. Symptoms of depression and anxiety were evaluated using the Patient Health Questionnaire-2 (PHQ-2) and the Generalized Anxiety Disorder-2 (GAD-2) in the baseline survey. The level of residential greenness during the 3-year period before the baseline survey was assessed using the Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI). The mixed-effect linear regression model was applied to examine the associations of residential greenness with depression and anxiety.
The results of adjusted models showed that the score of PHQ-2 (Δscore and 95% confidence interval [CI]) decreased by -0.024 (-0.041, -0.006) and -0.022 (-0.038, -0.004) with an interquartile range (IQR) increase in NDVI and EVI within a 1,000-m buffer radius, respectively. The score of GAD-2 (Δscore and 95% CI) decreased by -0.024 (-0.040, -0.006) and -0.028 (-0.044, -0.011), in relation to an IQR increase in NDVI and EVI within a 1,000-m buffer radius, respectively.
A higher level of residential greenness was significantly associated with lower risk of depression and anxiety in rural areas of Henan Province. Improving residential greenness accessibility may help to promote the mental health of rural populations.
抑郁和焦虑是全球非致命性健康损失的主要因素。多项研究表明居住环境绿化与心理健康之间存在关联。
2015年至2017年期间,从中国河南省四个县招募了参与者(n = 27366)。在基线调查中,使用患者健康问卷-2(PHQ-2)和广泛性焦虑障碍-2(GAD-2)评估抑郁和焦虑症状。在基线调查前3年期间,使用中分辨率成像光谱仪(MODIS)归一化植被指数(NDVI)和增强植被指数(EVI)评估居住环境绿化水平。应用混合效应线性回归模型来检验居住环境绿化与抑郁和焦虑之间的关联。
调整模型的结果显示,在1000米缓冲半径内,随着NDVI和EVI的四分位数间距(IQR)增加,PHQ-2得分(Δ得分和95%置信区间[CI])分别下降了-0.024(-0.041,-0.006)和-0.022(-0.038,-0.004)。在1000米缓冲半径内,随着NDVI和EVI的IQR增加,GAD-2得分(Δ得分和95%CI)分别下降了-0.024(-0.040,-0.006)和-0.028(-0.044,-0.011)。
河南省农村地区较高的居住环境绿化水平与较低的抑郁和焦虑风险显著相关。提高居住环境绿化的可达性可能有助于促进农村人口的心理健康。