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Prevalence and clinical correlates of abnormal lipid metabolism in first-episode and drug-naive patients with major depressive disorder: A large-scale cross-sectional study
Hu, Jieqiong1; Ji, Yunxin1; Lang, Xiao E.2; Zhang, Xiang-Yang3,4,5
第一作者Hu, Jieqiong
通讯作者邮箱zhnngay@psych.nc.cn (x.-y. zhang)
心理所单位排序3
摘要

Objective: Studies have shown an association between abnormal lipid profiles and MDD, but there are few studies on the clinical correlates of lipid abnormalities in patients with major depressive disorder (MDD). The purpose of this study was to investigate the prevalence of abnormal lipid metabolism and its correlates in Chinese first -episode and drug-naive MDD patients, which has not yet been reported.Methods: A total of 1718 outpatients with first-episode and drug-naive MDD were included. Demographic data were collected by a standardized questionnaire and blood lipid levels were measured, including total cholesterol (TC), triglyceride (TG), low density lipoprotein (LDL-C), high density lipoprotein (HDL-C). The Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), Positive and Negative Syndrome Scale (PANSS) positive subscale, and Clinical Global Impression of Severity Scale (CGI-S) were assessed for each patient.Results: The prevalence of abnormal lipid metabolism was 72.73% (1301/1718), and the rates of high TC, high TG, high LDL-C and low HDL-C were 51.05% (877/1718), 61.18% (1051/1718), 30.09% (517/1718), 23.40% (402/1718), respectively. Logistic regression showed the risk factors for abnormal lipid metabolism were severe anxiety, HAMD score, CGI-S score, BMI and systolic blood pressure (SBP). Multiple linear regression analysis showed that age at onset, SBP, HAMD score, HAMA score, PANSS positive subscale score, and CGI-S were independently associated with TC levels. BMI, HAMD score, PANSS positive subscale score and CGI-S score were independently associated with TG levels. SBP, HAMD score, PANSS positive subscale score and CGI-S score were independently associated with LDL-C levels. Age of onset, SBP and CGI-S score were independently associated with HDL-C levels.Conclusions: The prevalence of abnormal lipid metabolism in first-episode and drug-naive MDD patients is quite high. The severity of psychiatric symptoms may be closely associated with the presence of abnormal lipid metabolism in patients with MDD.

关键词Abnormal lipid metabolism Major depressive disorder TG TC LDL-C HDL-C
2023-07-01
语种英语
DOI10.1016/j.jpsychires.2023.05.016
发表期刊JOURNAL OF PSYCHIATRIC RESEARCH (IF:4.800[JCR-2022],5.100[5-Year])
ISSN0022-3956
卷号163页码:55-62
期刊论文类型实证研究
收录类别SCI ; SSCI
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS关键词GENOME-WIDE ASSOCIATION ; RISK-FACTORS ; CHOLESTEROL ; ADULTS ; ONSET
WOS研究方向Psychiatry
WOS类目Psychiatry
WOS记录号WOS:001000692300001
Q分类Q2
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://ir.psych.ac.cn/handle/311026/45447
专题中国科学院心理健康重点实验室
通讯作者Zhang, Xiang-Yang
作者单位1.Ningbo First Hosp, Dept Psychosomat Med, Ningbo, Zhejiang, Peoples R China
2.Shanxi Med Univ, Dept Psychiat, Hosp 1, Taiyuan, Peoples R China
3.Chinese Acad Sci, Inst Psychol, CAS Key Lab Mental Hlth, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
5.16 Lincui Rd, Beijing 100101, Peoples R China
通讯作者单位中国科学院心理健康重点实验室
推荐引用方式
GB/T 7714
Hu, Jieqiong,Ji, Yunxin,Lang, Xiao E.,et al. Prevalence and clinical correlates of abnormal lipid metabolism in first-episode and drug-naive patients with major depressive disorder: A large-scale cross-sectional study[J]. JOURNAL OF PSYCHIATRIC RESEARCH,2023,163:55-62.
APA Hu, Jieqiong,Ji, Yunxin,Lang, Xiao E.,&Zhang, Xiang-Yang.(2023).Prevalence and clinical correlates of abnormal lipid metabolism in first-episode and drug-naive patients with major depressive disorder: A large-scale cross-sectional study.JOURNAL OF PSYCHIATRIC RESEARCH,163,55-62.
MLA Hu, Jieqiong,et al."Prevalence and clinical correlates of abnormal lipid metabolism in first-episode and drug-naive patients with major depressive disorder: A large-scale cross-sectional study".JOURNAL OF PSYCHIATRIC RESEARCH 163(2023):55-62.
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