Physical activity (PA) influences the risk of depression associated with long working hours

萧条(经济学) 逻辑回归 混淆 医学 人口学 横断面研究 心理学 内科学 宏观经济学 病理 社会学 经济
作者
Tenglong Yan,Xiaowen Ding,Ting Xie,Tian Lan,Dongsheng Niu,Jue Li,Dan Guo,Minghui Wang,Mengyang Wang
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:321: 227-233 被引量:4
标识
DOI:10.1016/j.jad.2022.10.043
摘要

Growing evidences showed that long working hours is associated with depression epidemic, but few studies investigate whether physical activity (PA) could modify the risk of depression associated with long working hours, which was the purpose of the present study.A cross-sectional data obtained from the National Health and Nutrition Examination Survey 2015-2018. According to the criteria of International Labour Organization, long working hours was defined as >40 h/wk. The Nine-item Patient Health Questionnaire (PHQ-9) was used to identify depression. Binary logistic regression and restricted cubic spline (RCS) models were used to estimate the associations between long working hours and depression, furthermore to estimate the association of PA.5958 participants were included in the study. The results indicated that 3074 (51.6 %) of participants worked >40 h/wk. The prevalence of depression was 7.7 %. Logistic regression analysis indicated a positive association between long working hours and depression [OR = 1.738, 95 CI (1.427, 2.117)], and the results were still robust after controlling other confounding factors. RCS models indicated that the high intensity PA group had the lowest risk of depression, followed by low intensity PA group and no PA group.Long working hours probably be associated with depression, while PA can modify the risk to some degree.
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
1秒前
余怜烟完成签到,获得积分10
2秒前
renxiang发布了新的文献求助10
2秒前
量子星尘发布了新的文献求助10
3秒前
3秒前
4秒前
liusu完成签到,获得积分10
6秒前
胡先生完成签到,获得积分10
7秒前
7秒前
8秒前
留白留白发布了新的文献求助10
9秒前
9秒前
啦啦啦完成签到,获得积分10
9秒前
清久发布了新的文献求助10
9秒前
10秒前
10秒前
11秒前
李健应助胡先生采纳,获得10
11秒前
迁移学习发布了新的文献求助10
12秒前
啦啦啦发布了新的文献求助30
13秒前
美好水池发布了新的文献求助50
13秒前
14秒前
山海完成签到,获得积分10
14秒前
cc完成签到,获得积分10
15秒前
15秒前
orixero应助清爽的碧空采纳,获得10
16秒前
16秒前
lunan关注了科研通微信公众号
16秒前
科研通AI5应助Suagy采纳,获得30
16秒前
猪猪hero发布了新的文献求助10
18秒前
迁移学习完成签到,获得积分10
18秒前
123额应助深秋远塞采纳,获得20
18秒前
吴俏俏完成签到,获得积分10
19秒前
19秒前
小蘑菇应助啦啦啦采纳,获得10
19秒前
思源应助花粉过敏采纳,获得10
20秒前
zhaoxiao完成签到 ,获得积分10
20秒前
FL完成签到,获得积分10
21秒前
豆豆完成签到,获得积分10
22秒前
无名完成签到,获得积分10
22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
Разработка технологических основ обеспечения качества сборки высокоточных узлов газотурбинных двигателей,2000 1000
Vertebrate Palaeontology, 5th Edition 510
碳捕捉技术能效评价方法 500
Optimization and Learning via Stochastic Gradient Search 500
Nuclear Fuel Behaviour under RIA Conditions 500
Why America Can't Retrench (And How it Might) 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 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 催化作用 遗传学 冶金 电极 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 4691373
求助须知:如何正确求助?哪些是违规求助? 4062915
关于积分的说明 12562638
捐赠科研通 3760869
什么是DOI,文献DOI怎么找? 2077090
邀请新用户注册赠送积分活动 1105743
科研通“疑难数据库(出版商)”最低求助积分说明 984342