亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Is indoor and outdoor greenery associated with fewer depressive symptoms during COVID-19 lockdowns? A mechanistic study in Shanghai, China

孤独 环境卫生 2019年冠状病毒病(COVID-19) 抑郁症状 多级模型 逻辑回归 地理 医学 焦虑 数学 统计 精神科 内科学 病理 传染病(医学专业) 疾病
作者
Jinguang Zhang,Matthew H.E.M. Browning,Jie Liu,Yingyi Cheng,Zhao Bing,Payam Dadvand
出处
期刊:Building and Environment [Elsevier]
卷期号:227: 109799-109799 被引量:40
标识
DOI:10.1016/j.buildenv.2022.109799
摘要

Increasing numbers of studies have observed that indoor and outdoor greenery are associated with fewer depressive symptoms during COVID-19 lockdowns. However, most of these studies examined direct associations without sufficient attention to underlying pathways. Furthermore, few studies have combined different types of indoor and outdoor greenery to examine their effects on the alleviation of depressive symptoms. The present study hypothesized that indoor and outdoor exposure to greenery increased the perceived restorativeness of home environments, which, in turn, reduced loneliness, COVID-related fears, and, ultimately, depressive symptoms. To test our hypotheses, we conducted an online survey with 386 respondents in Shanghai, China, from April to May 2022, which corresponded to strict citywide lockdowns that resulted from the outbreak of the Omicron variant. Indoor greenery measures included the number of house plants, gardening activities, and digital nature exposure as well as semantic image segmentation applied to photographs from the most viewed windows to quantify indoor exposure to outdoor trees and grass. Outdoor greenery measures included total vegetative cover (normalized difference vegetation index [NDVI]) within a 300 m radius from the home and perceived quality of the community's greenery. Associations between greenery and depressive symptoms/clinical levels of depression, as measured by the Patient Health Questionnaire-9 (PHQ-9), were examined using generalized linear and logistic regression models. Structural equation modeling (SEM) was used to test pathways between greenery exposure, restorativeness, loneliness, fear of COVID-19, and depressive symptoms. The results showed that: 1) indoor and outdoor greenery were associated with fewer depressive symptoms; 2) greenery could increase the restorativeness of the home environment, which, in turn, was associated with fewer COVID-related mental stressors (i.e., loneliness and fear of COVID-19), and ultimately depressive symptoms; and 3) gender, education, and income did not modify associations between greenery and depressive symptoms. These findings are among the first to combine objective and subjective measures of greenery within and outside of the home and document their effects on mental health during lockdowns. Comprehensive enhancements of greenery in living environments could be nature-based solutions for mitigating COVID-19 related mental stressors.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
5秒前
浮华应助reds采纳,获得10
13秒前
猪仔5号发布了新的文献求助10
1分钟前
思源应助科研通管家采纳,获得10
1分钟前
神秘面筋男完成签到,获得积分10
1分钟前
1分钟前
hgsgeospan完成签到,获得积分10
2分钟前
Chaos完成签到 ,获得积分10
2分钟前
hgs完成签到,获得积分10
2分钟前
猪仔5号发布了新的文献求助10
2分钟前
3分钟前
4分钟前
5分钟前
一二三四发布了新的文献求助10
5分钟前
6分钟前
一二三四完成签到,获得积分10
6分钟前
6分钟前
6分钟前
科研通AI6应助科研通管家采纳,获得30
7分钟前
8分钟前
金光一闪发布了新的文献求助10
8分钟前
金光一闪完成签到,获得积分10
8分钟前
8分钟前
爱静静应助乔威采纳,获得10
9分钟前
9分钟前
笔墨纸砚完成签到 ,获得积分10
9分钟前
10分钟前
田様应助Alice采纳,获得10
10分钟前
10分钟前
10分钟前
cc发布了新的文献求助10
10分钟前
浮游应助cc采纳,获得10
11分钟前
FashionBoy应助cc采纳,获得10
11分钟前
尼古丁的味道完成签到 ,获得积分10
11分钟前
余呀余完成签到 ,获得积分10
11分钟前
cc完成签到,获得积分10
11分钟前
鳄鱼不做饿梦完成签到,获得积分10
12分钟前
12分钟前
fangjc1024发布了新的文献求助10
12分钟前
12分钟前
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
Kolmogorov, A. N. Qualitative study of mathematical models of populations. Problems of Cybernetics, 1972, 25, 100-106 800
FUNDAMENTAL STUDY OF ADAPTIVE CONTROL SYSTEMS 500
微纳米加工技术及其应用 500
Nanoelectronics and Information Technology: Advanced Electronic Materials and Novel Devices 500
Performance optimization of advanced vapor compression systems working with low-GWP refrigerants using numerical and experimental methods 500
Constitutional and Administrative Law 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5302846
求助须知:如何正确求助?哪些是违规求助? 4449882
关于积分的说明 13848728
捐赠科研通 4336199
什么是DOI,文献DOI怎么找? 2380825
邀请新用户注册赠送积分活动 1375769
关于科研通互助平台的介绍 1342143