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Zhou X, Tao XL, Zhang L, Yang QK, Li ZJ, Dai L, Lei Y, Zhu G, Wu ZF, Yang H, Shen KF, Xu CM, Liang P, Zheng X. Association between cardiometabolic index and depression: National Health and Nutrition Examination Survey (NHANES) 2011-2014. J Affect Disord 2024; 351:939-947. [PMID: 38341157 DOI: 10.1016/j.jad.2024.02.024] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 02/03/2024] [Accepted: 02/07/2024] [Indexed: 02/12/2024]
Abstract
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 (HDLC) 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.
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Affiliation(s)
- Xiang Zhou
- Department of Neurosurgery, Epilepsy Research Center of PLA, Xinqiao Hospital, Army Medical University, Chongqing 400037, China; Cadet Brigade 4, College of Basic Medicine, Army Medical University, Chongqing 400038, China
| | - Xiao-Liang Tao
- National & Regional United Engineering Lab of Tissue Engineering, Department of Orthopedics, Southwest Hospital, Army Medical University, Chongqing 400038, China
| | - Li Zhang
- Department of Neurosurgery, Epilepsy Research Center of PLA, Xinqiao Hospital, Army Medical University, Chongqing 400037, China; Department of neurosurgery, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics. No.136 of Zhong shan Second Road, Yu zhong District, Chongqing 400014, China
| | - Qian-Kun Yang
- National & Regional United Engineering Lab of Tissue Engineering, Department of Orthopedics, Southwest Hospital, Army Medical University, Chongqing 400038, China
| | - Zi-Jiao Li
- Cadet Brigade 4, College of Basic Medicine, Army Medical University, Chongqing 400038, China
| | - Lu Dai
- Chongqing Institute for Brain and Intelligence, Guang yang Bay Laboratory, Chongqing 400064, China
| | - Ya Lei
- Chongqing Institute for Brain and Intelligence, Guang yang Bay Laboratory, Chongqing 400064, China
| | - Gang Zhu
- Department of Neurosurgery, Epilepsy Research Center of PLA, Xinqiao Hospital, Army Medical University, Chongqing 400037, China
| | - Zhi-Feng Wu
- Department of Pediatrics, Second Affiliated Hospital of the Army Medical University, Chongqing 400037, China
| | - Hui Yang
- Department of Neurosurgery, Epilepsy Research Center of PLA, Xinqiao Hospital, Army Medical University, Chongqing 400037, China; Chongqing Institute for Brain and Intelligence, Guang yang Bay Laboratory, Chongqing 400064, China
| | - Kai-Feng Shen
- Department of Neurosurgery, Epilepsy Research Center of PLA, Xinqiao Hospital, Army Medical University, Chongqing 400037, China
| | - Chun-Mei Xu
- Department of Neurology, the Second People's Hospital of Liangshan Yi Autonomous Prefecture, China
| | - Ping Liang
- Department of neurosurgery, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics. No.136 of Zhong shan Second Road, Yu zhong District, Chongqing 400014, China
| | - Xin Zheng
- Department of Neurosurgery, Epilepsy Research Center of PLA, Xinqiao Hospital, Army Medical University, Chongqing 400037, China.
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Mokhtari-Ardekani A, Fayyazishishavan E, Akhavanfar R, Abbasalizad-Farhangi M. Circulating Advanced Oxidation Protein Products (AOPPs) increases the risk of metabolic syndrome among adults: A systematic review and meta-analysis. Int J Diabetes Dev Ctries 2023. [DOI: 10.1007/s13410-023-01178-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/31/2023] Open
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