Skip to main content

ORIGINAL RESEARCH article

Front. Psychiatry
Sec. Mood Disorders
Volume 15 - 2024 | doi: 10.3389/fpsyt.2024.1495467

Elevated remnant cholesterol and the risk of prevalent major depressive disorder: A nationwide population-based study

Provisionally accepted
Shiyi Tao Shiyi Tao 1Lintong Yu Lintong Yu 1*Jun Li Jun Li 2*Ji Wu Ji Wu 2*Deshuang Yang Deshuang Yang 3*Xuanchun Huang Xuanchun Huang 2*Tiantian Xue Tiantian Xue 2*
  • 1 Beijing University of Chinese Medicine, Beijing, China
  • 2 Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, Beijing Municipality, China
  • 3 China-Japan Friendship Hospital, Beijing, Beijing Municipality, China

The final, formatted version of the article will be published soon.

    Background:Remnant cholesterol(RC) has received increasing attention due to its association with a variety of diseases. However, comprehensive population-based studies elucidating the relationship between RC and major depressive disorder (MDD) are limited.The current study aimed to determine the association between RC and MDD in US adults.Methods:Cross-sectional data of US adults with complete RC and depression information were obtained from the National Health and Nutrition Examination Survey(NHANES) 2005-2018.MDD was evaluated using the Patient Health Questionnaire (PHQ-9).Multivariate logistic regression,sensitivity analysis,and spline smoothing plot method were conducted to explore the relationship between RC and depression.The cut-off point was calculated using recursive partitioning analysis when segmenting effects emerged.The area under the receiver operating characteristic(ROC) curve AUC),calibration curve,Hosmer-Lemeshow test,the decision curve analysis (DCA), and clinical impact curve (CIC) were employed to evaluate the performance of RC in identifying MDD.Subgroup analyses and interaction tests were performed to explore whether the association was stable in different populations.Results:A total of 9,173 participants were enrolled and participants in the higher RC quartile tended to have a higher PHQ-9 score and prevalence of MDD.In the fully adjusted model, a positive association between RC and PHQ-9 score and MDD was both observed (β=0.54, 95% CI 0.26~0.82; OR=1.43, 95% CI 1.15~1.78).Participants in the highest RC quartile had a 0.42-unit higher PHQ-9 score (β=0.42, 95% CI 0.15~0.69) and a significantly 32% higher risk of MDD than those in the lowest RC quartile (OR=1.32, 95% CI 1.05~1.66).Spline smoothing plot analysis further confirmed the positive and non-linear association between RC and PHQ-9 and MDD. ROC analysis (AUC=0.762),the Hosmer-Lemeshow test (χ 2 =6.258, P=0.618),and calibration curve all indicated a high performance and goodness-of-fit of the multivariate model.DCA and CIC analysis similarly demonstrated a positive overall net benefit and clinical impact for the model.Subgroup analyses and interaction tests suggested that the relationship between RC and depression remained stable across subgroups and was unaffected by other factors other than diabetes,hypertension,or hyperlipidemia.Conclusion:An elevated RC is associated with a higher risk of prevalent MDD among US adults,especially in those with diabetes,hypertension,or hyperlipidemia.The present results suggested that the management of RC levels and comorbidities may contribute to alleviating the occurrence of MDD.

    Keywords: Remnant cholesterol, Major Depressive Disorder, Dyslipidemia, PHQ-9, NHANES

    Received: 12 Sep 2024; Accepted: 21 Oct 2024.

    Copyright: © 2024 Tao, Yu, Li, Wu, Yang, Huang and Xue. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Lintong Yu, Beijing University of Chinese Medicine, Beijing, China
    Jun Li, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, Beijing Municipality, China
    Ji Wu, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, Beijing Municipality, China
    Deshuang Yang, China-Japan Friendship Hospital, Beijing, 100029, Beijing Municipality, China
    Xuanchun Huang, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, Beijing Municipality, China
    Tiantian Xue, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, Beijing Municipality, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.