Associations between Life's Essential 8 and depression among US adults

萧条(经济学) 心理学 老年学 医学 经济 凯恩斯经济学
作者
Song-Feng Zhao,Ying Tang,Yifan Li,Hongxian Shen,Aihua Liu
出处
期刊:Psychiatry Research-neuroimaging [Elsevier BV]
卷期号:338: 115986-115986 被引量:14
标识
DOI:10.1016/j.psychres.2024.115986
摘要

Few studies have examined the association of Life's Essential 8 (LE8) with depression among US adults. This is a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) 2011–2020. LE8 score was measured as the mean score of eight metrics (diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipid, blood glucose, and blood pressure). CVH was categorized into low, moderate, and high according to tertiles of LE8 score. Depression was defined based on the 9-Item Patient Health Questionnaire (PHQ-9). Weighted logistic regressions were conducted to assess the associations of depression with CVH. Compared with participants with low CVH, the fully adjusted ORs of depression were 0.45 (0.37, 0.55) in the moderate CVH and 0.21 (0.15, 0.30) in the high CVH participants, respectively. The results remained robust in subgroup and sensitivity analyses. All eight LE8 metrics were negatively associated with depression, while nicotine exposure and sleep health were identified as two major metrics contributing to the association. Better CVH evaluated by LE8 was associated with decreased depression prevalence among US adults. Adherence to a higher CVH score, especially targeting smoking cessation and proper sleep duration, might be beneficial for prevention 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
科目三应助coolkid采纳,获得10
2秒前
yang发布了新的文献求助10
3秒前
水本无忧87完成签到,获得积分10
3秒前
4秒前
共享精神应助张琴英采纳,获得10
4秒前
完美世界应助张琴英采纳,获得10
4秒前
orixero应助张琴英采纳,获得10
4秒前
NexusExplorer应助张琴英采纳,获得10
4秒前
愉快宛凝发布了新的文献求助10
4秒前
枝枝发布了新的文献求助10
5秒前
刘歌完成签到 ,获得积分10
5秒前
Peix完成签到,获得积分10
5秒前
yjy完成签到 ,获得积分10
5秒前
落后的醉薇关注了科研通微信公众号
6秒前
桐桐应助李大an采纳,获得10
6秒前
6秒前
keke完成签到,获得积分10
7秒前
sky完成签到 ,获得积分10
7秒前
7秒前
科研通AI6.4应助伍绮彤采纳,获得10
8秒前
科研落完成签到,获得积分10
9秒前
10秒前
田様应助骨化醇采纳,获得10
11秒前
kiki完成签到,获得积分10
11秒前
执着大象完成签到,获得积分10
12秒前
12秒前
12秒前
所所应助fff采纳,获得10
12秒前
13秒前
安静笑晴完成签到,获得积分10
13秒前
13秒前
13秒前
Jasper应助科研通管家采纳,获得10
13秒前
orixero应助科研通管家采纳,获得10
14秒前
wanci应助科研通管家采纳,获得100
14秒前
ding应助科研通管家采纳,获得10
14秒前
赘婿应助科研通管家采纳,获得10
14秒前
Copyright应助科研通管家采纳,获得10
14秒前
今后应助科研通管家采纳,获得10
14秒前
CipherSage应助科研通管家采纳,获得10
14秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7252097
求助须知:如何正确求助?哪些是违规求助? 8874503
关于积分的说明 18732390
捐赠科研通 6932075
什么是DOI,文献DOI怎么找? 3199623
关于科研通互助平台的介绍 2374362
邀请新用户注册赠送积分活动 2174189