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
1秒前
1秒前
香蕉觅云应助孤独的大小采纳,获得30
2秒前
微调完成签到,获得积分10
2秒前
什么完成签到,获得积分10
3秒前
hangzhen发布了新的文献求助10
4秒前
hyhyhyhy发布了新的文献求助10
4秒前
7秒前
无双发布了新的文献求助10
7秒前
8秒前
tardis完成签到 ,获得积分20
8秒前
刘晓倩发布了新的文献求助10
9秒前
潘先森发布了新的文献求助10
13秒前
科研通AI6.3应助hangzhen采纳,获得10
13秒前
田様应助123采纳,获得30
14秒前
小冉发布了新的文献求助10
14秒前
16秒前
浩然发布了新的文献求助30
20秒前
克林沙星完成签到,获得积分10
21秒前
11235应助WWW采纳,获得20
22秒前
22秒前
24秒前
研友_VZG7GZ应助dental采纳,获得10
25秒前
27秒前
可爱的函函应助zyy采纳,获得10
27秒前
123发布了新的文献求助30
27秒前
科研通AI6.1应助mxy126354采纳,获得10
29秒前
共享精神应助lchen采纳,获得10
30秒前
31秒前
科研通AI6.2应助JJ采纳,获得10
32秒前
非迟完成签到 ,获得积分10
34秒前
ddup发布了新的文献求助10
35秒前
打打应助浩然采纳,获得10
35秒前
35秒前
35秒前
Young完成签到 ,获得积分10
36秒前
36秒前
36秒前
36秒前
semua发布了新的文献求助10
37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 6354064
求助须知:如何正确求助?哪些是违规求助? 8169043
关于积分的说明 17195797
捐赠科研通 5410209
什么是DOI,文献DOI怎么找? 2863905
邀请新用户注册赠送积分活动 1841339
关于科研通互助平台的介绍 1689961