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的填写文献信息,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!

The association of ambient temperature with depression in middle-aged and elderly people: a multicenter prospective repeat survey study in China

萧条(经济学) 置信区间 混淆 医学 优势比 人口学 广义估计方程 中国 逻辑回归 内科学 地理 统计 数学 考古 社会学 经济 宏观经济学
作者
Ning Jiang,Jie Ban,Yuming Guo,Yi Zhang
出处
期刊:Environmental Research Letters [IOP Publishing]
卷期号:17 (8): 084033-084033 被引量:15
标识
DOI:10.1088/1748-9326/ac8498
摘要

Abstract Depression is the most common mental illness and contributes to a huge disease burden. However, few studies have examined the association between ambient temperature on depression. In this study, a three times repeated survey was conducted in 24 communities nationwide in China, through a face-to-face interview. Weather and air pollution data were collected from the European Centre for Medium-Range Weather Forecasts and the China National Environmental Monitoring Center, respectively. Depression was diagnosed by the 9-item Patient Health Questionnaire and generalized estimation equation models were used to examine the effects of ambient temperature on depression. Finally, 3811 individuals participated in the baseline survey, and a total of 9814 visits were completed during the three repeated survey periods. The relationship between ambient temperature and depression was linear. After adjusting for potential confounders, we observed that every 5 °C reduction in the two-week moving average temperature was associated with a 15.6% increase in depression (odds ratio (OR) = 1.156, 95% confidence interval (CI): 1.009–1.324, P = 0.038). Subgroup analyses showed that people aged ⩾65 years (OR = 1.269, 95% CI: 1.082–1.489, P < 0.01) were more vulnerable than those aged <65 years (OR = 0.873, 95% CI: 0.703–1.084, P = 0.22), while women (OR = 1.250, 95% CI: 1.054–1.483, P < 0.01) were more vulnerable than men (OR = 0.947, 95% CI: 0.771–1.162, P = 0.68). Results of the present study support an association between lower temperatures and increased risk of depression.
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
JamesPei应助完美芒果采纳,获得10
1秒前
4秒前
虚拟发布了新的文献求助10
9秒前
完美世界应助虚拟采纳,获得10
14秒前
Vapour关注了科研通微信公众号
14秒前
18秒前
失眠天亦应助科研通管家采纳,获得10
21秒前
完美芒果发布了新的文献求助10
21秒前
杨怂怂完成签到 ,获得积分10
25秒前
Vapour发布了新的文献求助10
26秒前
曾经的彩虹完成签到,获得积分10
43秒前
50秒前
50秒前
NiceSunnyDay完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
激昂的松鼠完成签到,获得积分10
1分钟前
fqx379发布了新的文献求助10
1分钟前
乌冬面发布了新的文献求助10
1分钟前
1分钟前
风华正茂完成签到,获得积分20
1分钟前
1分钟前
王某人完成签到 ,获得积分10
2分钟前
乌冬面完成签到,获得积分10
2分钟前
zz发布了新的文献求助50
2分钟前
上善若水完成签到 ,获得积分10
2分钟前
2分钟前
干净思远完成签到,获得积分10
2分钟前
乌冬面关注了科研通微信公众号
2分钟前
caca完成签到,获得积分10
2分钟前
2分钟前
学不完了完成签到 ,获得积分10
2分钟前
2分钟前
科研通AI5应助欣喜的念寒采纳,获得10
3分钟前
3分钟前
单薄雁芙发布了新的文献求助10
3分钟前
dsuccess完成签到,获得积分10
3分钟前
4分钟前
爆米花应助科研通管家采纳,获得10
4分钟前
mmll完成签到,获得积分20
4分钟前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Computational Atomic Physics for Kilonova Ejecta and Astrophysical Plasmas 500
Technologies supporting mass customization of apparel: A pilot project 450
Brain and Heart The Triumphs and Struggles of a Pediatric Neurosurgeon 400
Cybersecurity Blueprint – Transitioning to Tech 400
Mixing the elements of mass customisation 400
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3782649
求助须知:如何正确求助?哪些是违规求助? 3328049
关于积分的说明 10234269
捐赠科研通 3043003
什么是DOI,文献DOI怎么找? 1670433
邀请新用户注册赠送积分活动 799680
科研通“疑难数据库(出版商)”最低求助积分说明 758971