Neighbourhood green space and loneliness in middle-aged and older adults: Evidence from WHO Study on Global Ageing and Adult Health in China

孤独 邻里(数学) 老年学 心理健康 社会孤立 社会经济地位 公共卫生 心理学 人口学 人口老龄化 人口 地理 医学 社会学 社会心理学 精神科 数学分析 护理部 数学
作者
Ruoyu Wang,Yimeng Song,Linchuan Yang,Matthew H. E. M. Browning
出处
期刊:Urban Forestry & Urban Greening [Elsevier BV]
卷期号:95: 128324-128324 被引量:24
标识
DOI:10.1016/j.ufug.2024.128324
摘要

Loneliness may contribute to chronic diseases, while neighbourhood green space is increasingly understood to benefit health. However, whether green space is associated with loneliness is less understood, especially for an ageing population. This study aims to explore the relationship between different measures of green space and loneliness among middle-aged and older adults (N = 8,383) based on a national cohort. Loneliness was measured with a yes or no (binary) self-reported question, while the availability of residential green space was assessed with the normalised difference vegetation index (NDVI) and proportion of neighbourhood public parks. Multilevel logistic regression models, stratified and mediation analysis were used to test whether green space availability was associated with loneliness. The results showed that both forms of residential green space were negatively associated with the risk of loneliness, even after adjustments for covariates. These associations were partially mediated by social cohesion and modified by socioeconomic status and age; residents who were males, at least 60 years old, had lower incomes, or had no high school degree showed protective associations of residential green space on loneliness in some stratified models. These findings indicate that residential green space may play an important role in loneliness risk in middle-aged and older adults, so policymakers may consider urban greening as part of their comprehensive plans to support the mental health of ageing 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
778完成签到,获得积分10
2秒前
chanvze完成签到,获得积分10
3秒前
ChaosTenet完成签到 ,获得积分10
6秒前
研友_X89o6n完成签到,获得积分0
7秒前
如意蚂蚁完成签到,获得积分10
8秒前
yyds完成签到,获得积分20
9秒前
10秒前
典雅的夜安完成签到,获得积分10
10秒前
盒子应助chanvze采纳,获得500
11秒前
暴躁的冬云完成签到,获得积分10
12秒前
andy0113完成签到 ,获得积分10
15秒前
善学以致用应助蓝天采纳,获得10
16秒前
guzhenyang完成签到,获得积分10
16秒前
大反应釜完成签到,获得积分10
20秒前
蓝天发布了新的文献求助10
21秒前
852应助胖头鱼采纳,获得10
21秒前
24秒前
科目三应助科研通管家采纳,获得10
24秒前
Nexus应助科研通管家采纳,获得10
24秒前
wanci应助科研通管家采纳,获得10
24秒前
24秒前
赘婿应助科研通管家采纳,获得10
24秒前
桐桐应助科研通管家采纳,获得30
24秒前
小帅完成签到,获得积分10
24秒前
24秒前
24秒前
27秒前
27秒前
LL完成签到 ,获得积分10
27秒前
28秒前
28秒前
31秒前
胖头鱼发布了新的文献求助10
33秒前
SciGPT应助研友_84WJXZ采纳,获得10
33秒前
Lucas应助陈北风采纳,获得10
34秒前
jeff发布了新的文献求助10
35秒前
LL关注了科研通微信公众号
38秒前
小chen完成签到 ,获得积分10
39秒前
40秒前
研友_nEoEy8完成签到,获得积分10
40秒前
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 6348659
求助须知:如何正确求助?哪些是违规求助? 8163851
关于积分的说明 17175276
捐赠科研通 5405241
什么是DOI,文献DOI怎么找? 2861939
邀请新用户注册赠送积分活动 1839682
关于科研通互助平台的介绍 1688977