The association between pulmonary function and depression in middle-aged and elderly people in China: The role of cognitive ability and sleep time

萧条(经济学) 混淆 认知 肺功能测试 心理学 逻辑回归 医学 临床心理学 纵向研究 精神科 内科学 宏观经济学 经济 病理
作者
Min Bao,Jianqian Chao,Ruixue Cai,Na Zhang,Hongling Chen,Mingxin Sheng
出处
期刊:Journal of Affective Disorders [Elsevier]
卷期号:299: 377-382 被引量:3
标识
DOI:10.1016/j.jad.2021.12.017
摘要

Depression is a common mental disorder in middle-aged and elderly people, which seriously affects their physical health and life quality.So far, whether pulmonary function is a factor in depression has not been tested.The purpose of this study was to test whether pulmonary function was independently associated with depression and to assess the effects of cognitive ability and sleep time on this association.In this analysis, 5,235 participants from the Chinese Longitudinal Study of Health and Retirement were included. Participants were registered in 2015 and followed up in 2018. The relationship between pulmonary function and depression was estimated by binary logistic regression model. The mediated role of cognitive ability was examined by intermediary analysis, and the interaction between pulmonary function and sleep time on depression was discussed.After adjusting for confounding factors, it was found that higher baseline pulmonary function was the protective factor of depression (OR [95%CI]=0.524 [0.394-0.697] for the lowest quantile vs the highest quantile). Cognitive ability explained 14.55% of the association between pulmonary function and depression, pulmonary function and sleep time on the effects of depression have a combined interaction, RERI (95%CI) = 0.545 (0.053-1.038).High baseline pulmonary function is independently associated with a lower risk of depression, which is partly mediated by cognitive ability. Pulmonary function and sleep time have synergy with the effects of depression. These findings show that pulmonary function, cognitive ability and sleep time are reliable predictors of depression.

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
谛听不听完成签到 ,获得积分10
1秒前
1秒前
Avery发布了新的文献求助10
2秒前
feifanyin完成签到,获得积分10
2秒前
2秒前
2秒前
杨旺发布了新的文献求助10
3秒前
sunny完成签到 ,获得积分10
3秒前
ck关闭了ck文献求助
4秒前
Majoe完成签到,获得积分10
5秒前
5秒前
高大的雁桃完成签到 ,获得积分10
6秒前
领导范儿应助布丁采纳,获得10
7秒前
7秒前
科研通AI6应助Avery采纳,获得10
8秒前
科研通AI6应助Avery采纳,获得10
8秒前
桐桐应助Avery采纳,获得10
8秒前
爆米花应助Avery采纳,获得10
8秒前
Orange应助Avery采纳,获得10
8秒前
丘比特应助Avery采纳,获得10
8秒前
李健的小迷弟应助Avery采纳,获得10
8秒前
斯文败类应助Avery采纳,获得10
8秒前
完美世界应助Avery采纳,获得10
8秒前
我是老大应助Avery采纳,获得10
8秒前
wrx完成签到 ,获得积分10
8秒前
9秒前
feifanyin发布了新的文献求助30
10秒前
wei发布了新的文献求助10
10秒前
swy完成签到 ,获得积分10
11秒前
今后应助有怀采纳,获得10
11秒前
量子星尘发布了新的文献求助10
12秒前
JamesPei应助可靠飞飞采纳,获得10
13秒前
ting完成签到,获得积分10
13秒前
zhang17732207429完成签到,获得积分10
14秒前
懒羊羊带妹呢完成签到 ,获得积分10
14秒前
基金中中中完成签到,获得积分10
14秒前
滴滴滴完成签到 ,获得积分20
15秒前
15秒前
spencer完成签到,获得积分10
15秒前
无极微光应助www采纳,获得20
16秒前
高分求助中
Theoretical Modelling of Unbonded Flexible Pipe Cross-Sections 10000
(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
《药学类医疗服务价格项目立项指南(征求意见稿)》 880
花の香りの秘密―遺伝子情報から機能性まで 800
3rd Edition Group Dynamics in Exercise and Sport Psychology New Perspectives Edited By Mark R. Beauchamp, Mark Eys Copyright 2025 600
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Digital and Social Media Marketing 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5620844
求助须知:如何正确求助?哪些是违规求助? 4705469
关于积分的说明 14932123
捐赠科研通 4763548
什么是DOI,文献DOI怎么找? 2551284
邀请新用户注册赠送积分活动 1513817
关于科研通互助平台的介绍 1474712