The association between cardiovascular health and depression: Results from the 2007–2020 NHANES

萧条(经济学) 全国健康与营养检查调查 医学 联想(心理学) 内科学 心血管健康 老年学 心理学 环境卫生 人口 宏观经济学 经济 心理治疗师 疾病
作者
Ruihuan Shen,Tong Zou
出处
期刊:Psychiatry Research-neuroimaging [Elsevier]
卷期号:331: 115663-115663 被引量:52
标识
DOI:10.1016/j.psychres.2023.115663
摘要

Limited research has been conducted on the correlation between Life's Essential 8 (LE8), the recently updated algorithm for evaluating cardiovascular health (CVH), and depression. A total of 21,942 individuals were chosen from the National Health and Nutrition Examination Survey (NHANES) conducted between 2007 and 2020. The depression was determined using the Patient Health Questionnaire (PHQ-9), with a score of 10 or higher indicating diagnosis. The LE8 score consists of 8 metrics: sleep health, diet, physical activity, nicotine exposure, body mass index, blood lipids, blood glucose, and blood pressure. Each LE8 metric was scored from 0 to 100 points. The summation of all metrics divided by 8 generated the total LE8 score and was categorized into low (0–49), moderate (50–79), and high (80–100) CVH. Weighted logistic regression and restricted cubic splines (RCS) were used to assess the association between LE8 score and depression. A significant inversely nonlinear relationship was observed between LE8 score and depression. When compared to participants with high CVH, those with moderate CVH had multivariable adjusted odds ratios (ORs) for depression of 2.36 (95 % CI, 1.79–3.10), while those with low CVH had ORs of 4.71 (95 % CI, 3.44–6.47). Moreover, the effect size of the LE8 score on depression remained stable in all pre-specified subgroups, with all P-values for interaction being more than 0.05. The results indicate a significant inversely nonlinear relationship between LE8 score and depression, particularly among males. These findings emphasize the importance of maintaining higher CVH as a preventive measure against 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
刚刚
鱼鱼片片发布了新的文献求助10
刚刚
刚刚
ding应助雨碎寒江采纳,获得10
1秒前
sasa发布了新的文献求助10
1秒前
許1111发布了新的文献求助10
2秒前
Alex发布了新的文献求助10
2秒前
harriet chen发布了新的文献求助10
2秒前
阿萨十大发布了新的文献求助10
2秒前
3秒前
华仔应助研友_8QxayZ采纳,获得10
3秒前
4秒前
help3q完成签到,获得积分10
5秒前
llh发布了新的文献求助10
5秒前
赘婿应助暮商零七采纳,获得10
5秒前
6秒前
怡然冷安完成签到,获得积分10
6秒前
6秒前
哈哈哈完成签到,获得积分10
6秒前
秋去去完成签到,获得积分10
7秒前
希望天下0贩的0应助Towne采纳,获得10
7秒前
8秒前
8秒前
李健应助CJN采纳,获得10
8秒前
lily完成签到,获得积分20
9秒前
流云发布了新的文献求助10
9秒前
April完成签到 ,获得积分10
9秒前
清秀橘子完成签到,获得积分10
9秒前
mika完成签到,获得积分10
9秒前
wuliumu完成签到,获得积分10
9秒前
10秒前
10秒前
lizhoukan1完成签到,获得积分10
10秒前
李爱国应助whisper采纳,获得10
10秒前
11秒前
李爱国应助Rgly采纳,获得10
11秒前
12秒前
12秒前
12秒前
12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
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
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 5667772
求助须知:如何正确求助?哪些是违规求助? 4887765
关于积分的说明 15121847
捐赠科研通 4826643
什么是DOI,文献DOI怎么找? 2584209
邀请新用户注册赠送积分活动 1538157
关于科研通互助平台的介绍 1496386