Association of neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, and monocyte to lymphocyte ratio with depression: A cross-sectional analysis of the NHANES data

萧条(经济学) 逻辑回归 混淆 四分位数 优势比 医学 横断面研究 内科学 线性回归 淋巴细胞 全国健康与营养检查调查 免疫学 心理学 置信区间 统计 病理 人口 环境卫生 数学 经济 宏观经济学
作者
Fanchao Meng,Xiuping Yan,Junhui Qi,Fan He
出处
期刊:Journal of Affective Disorders [Elsevier]
卷期号:315: 168-173 被引量:18
标识
DOI:10.1016/j.jad.2022.08.004
摘要

The association of neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and monocyte to lymphocyte ratio (MLR) with depression has been investigated extensively while the results were conflicting. We aim to investigate whether NLR, PLR, and MLR are associated with depression, as well as to explore the potential non-linear relationship between them.This cross-sectional study was conducted based on representative samples of US adults from the National Health and Nutrition Examination Survey 2005-06 to 2017-18. Major depression was defined as a 9-item Patient Health Questionnaire of 10 or more. Multivariable logistic regression models were used to calculate the odds ratio of depression in relation to NLR, PLR, and MLR with the first quartile of their values as the reference. Restricted cubic splines (RCS) were added to the regression model to estimate the non-linear relationship between NLR, PLR, or MLR and depression.A total of 34,324 participants were included in the study and 3009 of them were diagnosed with major depression. Only PLR was significantly associated with depression after adjustment of all covariates in the multivariable logistic regression analysis. RCS showed that NLR was significantly associated with depression after adjustment of all covariates and NLR, PLR, and MLR were associated with depression in a non-linear manner.The cross-sectional design did not imply any causal inferences.NLR and PLR were associated with depression after adjustment of potential confounders in a non-linear manner. Prospective studies might be needed to further reveal the non-linear relationships.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
大模型应助闪闪的友蕊采纳,获得10
1秒前
2秒前
4秒前
科目三应助晨曦采纳,获得10
5秒前
俏皮芹发布了新的文献求助10
6秒前
Hiowa发布了新的文献求助20
8秒前
嘿嘿哒发布了新的文献求助10
9秒前
9秒前
胡椒5完成签到,获得积分10
10秒前
乐乐应助jar7989采纳,获得10
14秒前
晨曦给晨曦的求助进行了留言
14秒前
14秒前
wanci应助斯文一笑采纳,获得10
15秒前
5165asd发布了新的文献求助10
15秒前
科研通AI2S应助三腔二囊管采纳,获得10
15秒前
嘿嘿哒完成签到,获得积分10
16秒前
钱多多应助Damon采纳,获得100
16秒前
雪白的威完成签到,获得积分10
16秒前
Otter发布了新的文献求助20
18秒前
Pureasy完成签到,获得积分20
19秒前
舒心如凡完成签到,获得积分10
20秒前
勤劳念寒发布了新的文献求助10
21秒前
21秒前
21秒前
tooty发布了新的文献求助10
24秒前
天天快乐应助魔幻的逊采纳,获得10
30秒前
34秒前
爱学术的小冷完成签到,获得积分10
34秒前
科研通AI2S应助彼得大帝采纳,获得10
36秒前
36秒前
yk发布了新的文献求助10
38秒前
xczhu完成签到,获得积分10
38秒前
焦焦完成签到 ,获得积分10
38秒前
希望天下0贩的0应助charley采纳,获得10
38秒前
HHH发布了新的文献求助10
39秒前
39秒前
39秒前
云鲲发布了新的文献求助10
40秒前
我说苏卡你说不列完成签到,获得积分10
42秒前
42秒前
高分求助中
Tracking and Data Fusion: A Handbook of Algorithms 1000
Models of Teaching(The 10th Edition,第10版!)《教学模式》(第10版!) 800
La décision juridictionnelle 800
Rechtsphilosophie und Rechtstheorie 800
Nonlocal Integral Equation Continuum Models: Nonstandard Symmetric Interaction Neighborhoods and Finite Element Discretizations 600
Academic entitlement: Adapting the equity preference questionnaire for a university setting 500
Arkiv för kemi 400
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2876532
求助须知:如何正确求助?哪些是违规求助? 2487892
关于积分的说明 6736413
捐赠科研通 2170890
什么是DOI,文献DOI怎么找? 1153345
版权声明 585924
科研通“疑难数据库(出版商)”最低求助积分说明 566288