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
项彼夜完成签到,获得积分10
刚刚
安静的小伙完成签到,获得积分10
3秒前
3秒前
4秒前
Lucas应助chenchen采纳,获得10
4秒前
bkagyin应助相信的力量采纳,获得10
4秒前
要减肥念真完成签到,获得积分10
6秒前
7秒前
su完成签到,获得积分10
7秒前
丘比特应助erkiiii采纳,获得10
8秒前
luyue9406完成签到,获得积分10
9秒前
9秒前
动听牛排发布了新的文献求助10
10秒前
王英俊发布了新的文献求助10
11秒前
科研通AI6.4应助拂袖采纳,获得10
11秒前
luyue9406发布了新的文献求助10
11秒前
樟木头完成签到,获得积分10
12秒前
欧尼酱完成签到 ,获得积分10
13秒前
有求必应完成签到 ,获得积分10
13秒前
14秒前
小葡萄完成签到 ,获得积分10
14秒前
aa发布了新的文献求助30
15秒前
MichaelPan完成签到,获得积分10
16秒前
erkiiii完成签到,获得积分10
16秒前
感动斓完成签到,获得积分10
17秒前
17秒前
科研通AI6.2应助mafumafu采纳,获得10
18秒前
上官若男应助聆风采纳,获得10
18秒前
蓝柚发布了新的文献求助10
19秒前
小黑仙儿完成签到,获得积分10
20秒前
erkiiii发布了新的文献求助10
22秒前
23秒前
aa完成签到,获得积分10
24秒前
左囧发布了新的文献求助10
25秒前
盈虚者完成签到,获得积分10
26秒前
28秒前
聆风发布了新的文献求助10
28秒前
Iris完成签到 ,获得积分10
28秒前
yanhuazi完成签到,获得积分10
30秒前
31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
Adverse weather effects on bus ridership 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 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 6350879
求助须知:如何正确求助?哪些是违规求助? 8165542
关于积分的说明 17183308
捐赠科研通 5407075
什么是DOI,文献DOI怎么找? 2862792
邀请新用户注册赠送积分活动 1840361
关于科研通互助平台的介绍 1689509