Association between cardiometabolic index and depression: National Health and Nutrition Examination Survey (NHANES) 2011-2014

作者全名："Zhou, Xiang; Tao, Xiao-Liang; Zhang, Li; Yang, Qian-Kun; Li, Zi-Jiao; Dai, Lu; Lei, Ya; Zhu, Gang; Wu, Zhi-Feng; Yang, Hui; Shen, Kai-Feng; Xu, Chun-Mei; Liang, Ping; Zheng, Xin"

作者地址："[Zhou, Xiang; Zhang, Li; Zhu, Gang; Yang, Hui; Shen, Kai-Feng; Zheng, Xin] Army Med Univ, Xinqiao Hosp, Epilepsy Res Ctr PLA, Dept Neurosurg, Chongqing 400037, Peoples R China; [Tao, Xiao-Liang; Yang, Qian-Kun] Army Med Univ, Southwest Hosp, Natl & Reg United Engn Lab Tissue Engn, Dept Orthoped, Chongqing 400038, Peoples R China; [Li, Zi-Jiao] Army Med Univ, Coll Basic Med, Cadet Brigade 4, Chongqing 400038, Peoples R China; [Dai, Lu; Lei, Ya; Yang, Hui] Chongqing Inst Brain & Intelligence, Guang yang Bay Lab, Chongqing 400064, Peoples R China; [Wu, Zhi-Feng] Army Med Univ, Affiliated Hosp 2, Dept Pediat, Chongqing 400037, Peoples R China; [Xu, Chun-Mei] Second Peoples Hosp Liangshan Yi Autonomous Prefec, Dept Neurol, Liangshan, Peoples R China; [Liang, Ping] Chongqing Med Univ, Natl Clin Res Ctr Child Hlth & Disorders, Key Lab Child Dev & Disorders, Dept Neurosurg,Minist Educ,Childrens Hosp,Chongqin, 136 Zhong Shan Second Rd, Chongqing 400014, Peoples R China; [Zheng, Xin] Army Med Univ, Xinqiao Hosp, Epilepsy Res Ctr PLA, Dept Neurosurg, Chongqing 400037, Peoples R China"

通信作者："Zheng, X (通讯作者)，Army Med Univ, Xinqiao Hosp, Epilepsy Res Ctr PLA, Dept Neurosurg, Chongqing 400037, Peoples R China."

来源：JOURNAL OF AFFECTIVE DISORDERS

ESI学科分类：PSYCHIATRY/PSYCHOLOGY

WOS号：WOS:001185678600001

JCR分区：Q1

影响因子：6.6

年份：2024

卷号：351

期号：　

开始页：939

结束页：947

文献类型：Article

关键词：Cardiometabolic index; Depression; Dyslipidemia; NHANES

摘要："Background: Emerging evidence suggests a common pathophysiological basis for metabolic disorders and mental diseases. Despite the existence of reports suggesting a strong connection between dyslipidemia and depression, a comprehensive and reliable indicator to identify depression is still lacking. Cardiometabolic index (CMI) is an integrated index calculated from three vital metabolic indicators, including triglyceride (TG), high -density lipoprotein cholesterol (HDL-C) and waist height ratio (WHtR). Objective: This study aims to explore the association between CMI and depression. Methods: Cross-sectional data of participants with complete information of CMI, depression, and other covariates were obtained from the National Health and Nutrition Examination Survey (NHANES). Weighted student's t -test and Chi-square test were used to identify the differences between two groups. Weighted multivariate logistic regression model, restricted cubic spline (RCS) regression analysis, subgroup analysis and interaction tests were conducted to explore the association between CMI and depression. Receiver operating curve (ROC) analysis and area under the curve (AUC) were also utilized to evaluate the performance of CMI in identifying depression. Results: A positive correlation between CMI and depression was observed in 3794 participants included in the study, which was further confirmed to be non-linear via RCS regression analysis, with two significant inflection points being identified, including 0.9522 and 1.58. In the crude or adjusted models, individuals with a CMI level >= 0.9522 exhibited remarkably increased risk for developing depression. CMI got an AUC of 0.748 in identifying depression. Subgroup analyses and interaction tests indicate that the association between CMI and depression remained consistent across different subgroups and was not modified by other covariates except drinking. Those who are current drinkers and with a high CMI are more susceptible to suffer depression. Conclusions: An elevated CMI is linked to increased risk for depression. Addressing dyslipidemia and improving lipid levels may potentially lower the risk for depression."

基金机构："Natural Science Foundation of Chongqing [CSTB2023NSCQ-MSX0216]; Young Doctoral Project of Xinqiao hospital [2022YQB005, 2022YQB046]"

基金资助正文："Natural Science Foundation of Chongqing: CSTB2023NSCQ-MSX0216, Young Doctoral Project of Xinqiao hospital (2022YQB005, 2022YQB046) ."