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首次住院的重性抑郁障碍患者的代谢综合征临床模式:抗抑郁剂暴露组和Drug-Naïve组的比较

 

Authors Wang S, Zhang L , Wu Y, Ma J 

Received 4 September 2024

Accepted for publication 12 November 2024

Published 14 November 2024 Volume 2024:20 Pages 2159—2168

DOI https://doi.org/10.2147/NDT.S494619

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Taro Kishi

Si Wang,1,2,* Lin Zhang,1,2,* Yigao Wu,3 Jun Ma1,2 

1Department of Psychiatry, Wuhan Mental Health Center, Wuhan, People’s Republic of China; 2Department of Psychiatry, Wuhan Hospital for Psychotherapy, Wuhan, People’s Republic of China; 3Department of Medical Psychology, The First Affiliated Hospital of Wannan Medical College, Wuhu, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Jun Ma, Department of Psychiatry, Wuhan Mental Health Center, No.89, Gongnongbing Road, Wuhan, Hubei, People’s Republic of China, Email majun0313@wo.cn Yigao Wu, Department of Medical Psychology, The First Affiliated Hospital of Wannan Medical College, No. 2 Zheshan West Road, Wuhu, People’s Republic of China, Email wuyigao2000@126.com.

Background: Major depressive disorder (MDD) and metabolic syndrome (MetS) are both major health threats nowadays, and the relationship between them is complex and close. The purpose of this paper is to compare differences in the prevalence and risk factors of MetS in first hospitalized patients with MDD with and without antidepressant exposure.
Methods: A total of 636 first hospitalized MDD patients (study group) with antidepressant exposure and 345 drug-naïve patients (control group) were included in this study. Their socio-demographic data, routine biochemical indices, and psychological symptom assessment were collected.
Results: There was no difference in the prevalence of MetS between the study group and the control group (F = 2.49, p = 0.115). Factors affecting MetS and its severity differed between the two groups, in the study group, the identified risk factors for MetS were onset age (B = 0.05, p < 0.001, OR = 1.05, 95% CI = 1.02– 1.08), TSH level (B = 0.42, p < 0.001, OR = 1.53, 95% CI = 1.39– 1.68). Meanwhile, in the control group, the identified risk factors for MetS were more extensive and they were, onset age (B = 0.11, p < 0.001, OR = 1.12, 95% CI = 1.07– 1.16), suicidal behavior (B = 1.54, p = 0.007, OR = 4.65, 95% CI = 1.51– 14.33), HAMD scores (B = 0.23, p = 0.008, OR = 1.26, 95% CI = 1.06– 1.49) and TSH levels (B = 0.33, p < 0.001, OR = 1.39, 95% CI = 1.17– 1.65). The number of risk factors identified was lower in the study group.
Conclusion: Antidepressant use was associated with greater MetS severity but did not affect overall prevalence. Antidepressants appear to modify MetS risk factors, highlighting the need to differentiate these effects from those in drug-naïve patients when developing MetS interventions for the MDD population.

Keywords: major depressive disorder, metabolic syndrome, antidepressant-exposed, drug-naïve, risk factor