Association between residential greenness and depression symptoms in Chinese community-dwelling older adults

萧条(经济学) 归一化差异植被指数 逻辑回归 医学 老人忧郁量表 优势比 人口学 心理干预 可能性 老年学 环境卫生 生态学 精神科 内科学 抑郁症状 焦虑 经济 社会学 宏观经济学 生物 叶面积指数
作者
Pengfei Wang,Meng Wang,Jiatong Shan,Xinya Liu,Yurong Jing,Hongfei Zhu,Guang Hong Zheng,Wenjia Peng,Ying Wang
出处
期刊:Environmental Research [Elsevier BV]
卷期号:243: 117869-117869 被引量:2
标识
DOI:10.1016/j.envres.2023.117869
摘要

Studies of residential greenness and depression symptoms among community-dwelling older adults in China are limited. However, understanding the role of greenness in depression symptoms among older adults can inform depression prevention and interventions. This study explored the relationship between residential greenness and depression symptoms among community-dwelling older adults in China. A cluster random sampling method was used to survey 7512 community-dwelling adults aged 60 and above from three towns in Shanghai. Depression symptoms were assessed using the Geriatric Depression Scale (GDS30). Residential greenness was measured using the normalized difference vegetation index (NDVI) and the enhanced vegetation index (EVI). Long-term greenspace exposure was defined as the mean NDVI and EVI in the three years prior to the baseline survey. Controlling for the covariates, the relationship between greenness and depression symptoms was assessed using binomial logistic regression and mixed-effects linear regression. Interaction analysis was conducted to explore which covariates potentially alter the association. We also assessed the mediating role of physical activity. The prevalence of depression symptoms among the participants was 13.72%. Higher residential greenness was associated with lower odds of depression symptoms, after adjusting for covariates. In the logistic regression analysis, the odds of depression symptoms decreased with increasing NDVI and EVI. In linear regression analysis, GDS30 scores decreased with increasing NDVI and EVI. Interaction analyses revealed that higher NDVI and EVI were more protective against depression among male individuals and older adults living with others than among female individuals and older adults living alone. Additionally, physical activity had a masking effect on residential greenness and depression symptoms. Higher residential greenness is associated with lower odds of depression symptoms in community-dwelling Chinese older adults. Increasing urban and neighborhood green spaces may contribute to the prevention and intervention of depression symptoms in community-dwelling older adults.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Hello应助猪猪hero采纳,获得10
2秒前
李健应助在改采纳,获得10
4秒前
ximi完成签到 ,获得积分10
7秒前
不知道完成签到 ,获得积分10
8秒前
9秒前
李健应助韩鲁光采纳,获得10
10秒前
霍xs完成签到 ,获得积分10
11秒前
12秒前
amns完成签到,获得积分10
13秒前
阔达宛凝发布了新的文献求助10
14秒前
小太阳在营业应助圈圈采纳,获得10
16秒前
1733发布了新的文献求助30
18秒前
不知道关注了科研通微信公众号
19秒前
阿里发布了新的文献求助10
19秒前
上善若脱碳甲醛完成签到 ,获得积分10
26秒前
Hang发布了新的文献求助10
27秒前
星星完成签到,获得积分10
27秒前
29秒前
霍小怂完成签到 ,获得积分10
30秒前
星辰大海应助安静的老师采纳,获得10
31秒前
51区完成签到,获得积分10
31秒前
烟花应助猪猪hero采纳,获得10
31秒前
32秒前
32秒前
独木邓发布了新的文献求助10
32秒前
32秒前
51区发布了新的文献求助10
35秒前
brucelin发布了新的文献求助10
38秒前
香蕉幻桃发布了新的文献求助10
39秒前
又是许想想完成签到,获得积分10
41秒前
Ava应助香蕉幻桃采纳,获得10
46秒前
呼取尽余杯完成签到 ,获得积分10
48秒前
zang6发布了新的文献求助30
53秒前
dgz完成签到,获得积分10
55秒前
自嘲熊2完成签到,获得积分10
55秒前
1分钟前
kk完成签到,获得积分10
1分钟前
mange完成签到 ,获得积分10
1分钟前
1分钟前
隐形曼青应助文右三采纳,获得10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6353630
求助须知:如何正确求助?哪些是违规求助? 8168625
关于积分的说明 17193764
捐赠科研通 5409722
什么是DOI,文献DOI怎么找? 2863792
邀请新用户注册赠送积分活动 1841171
关于科研通互助平台的介绍 1689915