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
碧蓝水儿完成签到,获得积分10
1秒前
emmaguo713发布了新的文献求助10
2秒前
2秒前
luna关注了科研通微信公众号
2秒前
小老鼠完成签到 ,获得积分10
2秒前
风吹麦田应助魁梧的黑猫采纳,获得10
2秒前
dtcao发布了新的文献求助10
2秒前
中科路2020发布了新的文献求助10
2秒前
ding应助冰冰采纳,获得10
2秒前
田园发布了新的文献求助10
3秒前
yy发布了新的文献求助10
3秒前
vivianfou发布了新的文献求助10
3秒前
linkin完成签到,获得积分10
4秒前
4秒前
Qzzzz发布了新的文献求助30
4秒前
4秒前
wanglei发布了新的文献求助10
5秒前
桐桐应助十二采纳,获得10
6秒前
guilin完成签到,获得积分10
6秒前
6秒前
小小发布了新的文献求助100
6秒前
小乐完成签到 ,获得积分10
7秒前
Zzc2026应助小狗不是抠脚兵采纳,获得20
7秒前
7秒前
哈基汪发布了新的文献求助10
7秒前
善学以致用应助徐玉辉采纳,获得10
8秒前
LYJ关闭了LYJ文献求助
8秒前
9秒前
yanjiuhuzu完成签到,获得积分10
9秒前
丘比特应助成成采纳,获得10
9秒前
SciGPT应助tyy采纳,获得10
9秒前
9秒前
MOhy发布了新的文献求助10
9秒前
康fs发布了新的文献求助10
10秒前
w8816完成签到,获得积分10
10秒前
10秒前
10秒前
英吉利25发布了新的文献求助10
11秒前
安文完成签到,获得积分10
11秒前
善学以致用应助风里等你采纳,获得10
11秒前
高分求助中
The Wiley Blackwell Companion to Diachronic and Historical Linguistics 3000
Standards for Molecular Testing for Red Cell, Platelet, and Neutrophil Antigens, 7th edition 1000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
Signals, Systems, and Signal Processing 610
脑电大模型与情感脑机接口研究--郑伟龙 500
GMP in Practice: Regulatory Expectations for the Pharmaceutical Industry 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 6296180
求助须知:如何正确求助?哪些是违规求助? 8113662
关于积分的说明 16982478
捐赠科研通 5358357
什么是DOI,文献DOI怎么找? 2846809
邀请新用户注册赠送积分活动 1824096
关于科研通互助平台的介绍 1678998