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
善学以致用应助niki采纳,获得10
1秒前
phl发布了新的文献求助10
3秒前
大芯发布了新的文献求助10
3秒前
仔wang完成签到,获得积分10
4秒前
Leecorleone发布了新的文献求助10
6秒前
景秋灵完成签到,获得积分10
8秒前
1111发布了新的文献求助10
8秒前
落后悟空完成签到,获得积分10
10秒前
科研小白完成签到,获得积分10
11秒前
阿伟发布了新的文献求助10
14秒前
丘比特应助季烬采纳,获得10
15秒前
zhangyuxue完成签到 ,获得积分10
16秒前
梦华老师发布了新的文献求助20
17秒前
叶洛洛完成签到 ,获得积分10
18秒前
qqq发布了新的文献求助10
19秒前
20秒前
WN完成签到,获得积分10
20秒前
21秒前
脑洞疼应助Leecorleone采纳,获得10
21秒前
香蕉觅云应助潇潇雨歇采纳,获得10
24秒前
niki发布了新的文献求助10
25秒前
今天的云也很好看完成签到 ,获得积分10
27秒前
qqq完成签到,获得积分20
28秒前
orixero应助梦华老师采纳,获得10
30秒前
lcxszsd完成签到 ,获得积分10
30秒前
xzg完成签到,获得积分10
30秒前
Robert完成签到,获得积分10
31秒前
活泼的蘑菇完成签到 ,获得积分10
34秒前
桐桐应助哈哈哈采纳,获得10
34秒前
35秒前
xwt3628完成签到,获得积分10
35秒前
科研通AI6.4应助憨憨采纳,获得10
35秒前
35秒前
aroseisarose发布了新的文献求助10
36秒前
希望天下0贩的0应助kalcspin采纳,获得30
36秒前
37秒前
37秒前
37秒前
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
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
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 6346037
求助须知:如何正确求助?哪些是违规求助? 8160699
关于积分的说明 17163254
捐赠科研通 5402145
什么是DOI,文献DOI怎么找? 2861031
邀请新用户注册赠送积分活动 1838920
关于科研通互助平台的介绍 1688189