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ORIGINAL RESEARCH article

Front. Psychiatry

Sec. Mood Disorders

Volume 16 - 2025 | doi: 10.3389/fpsyt.2025.1634899

This article is part of the Research TopicMultidimensional Approaches to Suicide Prevention: Innovations, Challenges, and Future DirectionsView all 17 articles

Longitudinal Association between Somatic Symptoms and Suicidal Ideation in Adults with Major Depression Disorder

Provisionally accepted
Subinuer  YimingSubinuer Yiming1Yuhua  LiaoYuhua Liao2Yanzhi  LiYanzhi Li1Wenjing  ZhouWenjing Zhou1Hao  ZhaoHao Zhao1Ruiying  ChenRuiying Chen1Qindan  ZhangQindan Zhang3Yifeng  LiuYifeng Liu2Huimin  ZhangHuimin Zhang2Christine  E. DriChristine E. Dri4Roger  S. McIntyreRoger S. McIntyre5Wanxin  WangWanxin Wang1Lan  GuoLan Guo1Beifang  FanBeifang Fan1Ciyong  LuCiyong Lu1*
  • 1Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
  • 2Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
  • 3School of Public Health, Zunyi Medical University, Zunyi, China
  • 4Brain and Cognition Discovery Foundation, Toronto, Canada
  • 5Department of Psychiatry, University of Toronto, Toronto, Canada

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

Background: Major depressive disorder (MDD) is often accompanied by somatic symptoms, but their longitudinal relationship with suicidal ideation (SI) remains insufficiently characterized. This longitudinal study in MDD patients aimed to (1) examine the associations between somatic symptoms (including total, pain, autonomic, energy, and CNS symptoms) and SI, and (2) investigate potential non-linear relationships among somatic symptoms and their subtypes with SI.Methods: Data was collected from patients with MDD in the Depression Cohort in China. The 28-item Somatic Symptoms Inventory (SSI) was used to assess somatic symptoms. SI was measured using the Beck Scale for Suicide Ideation (BSSI).Assessments were conducted at baseline and at weeks 4, 8, 12, 24, 48, and 72. Generalized estimating equations were utilized for exploring the associations of somatic symptoms and their subtypes with SI. GEE across three distinct models:Model 1 (unadjusted); Model 2 adjusted for sociodemographic and lifestyle factors;and Model 3 additionally adjusted for clinical characteristics. All models accounted for baseline SI.Results: These studies consisted of 1274 individuals with MDD (mean [SD], 27.7 [6.8] years; 399 (31.3%) males). The adjusted odds ratios (ORs) for SI across quartiles of total somatic symptom scores were 1.0 (reference), 0.95 (95% CI: 0.85-1.07, P = 0.419), 1.20 (95% CI: 1.03-1.41, P = 0.022), and 1.71 (95% CI: 1.39-2.11, P < 0.001) for quartiles 1,2, 3, and 4, respectively. Pain, autonomic, energy, and CNS symptoms showed similar results. A non-linear association (P for nonlinear < 0.001) was observed between total somatic symptom scores and SI. When the total somatic symptom score is below 49, the risk of SI remains at a relatively low level. However, when these scores exceeded the mentioned values, the risk of SI increases rapidly.Conclusions: Our findings suggest that in patients with MDD, there is a significant association between somatic symptoms and their subtypes with SI. Notably, the risk of SI is significantly increased by somatic symptoms in a nonlinear manner. These findings highlight the necessity of addressing somatic symptoms in the management of depression and emphasize the importance of developing targeted interventions to mitigate suicide risk in this vulnerable population.

Keywords: Somatic symptoms, Suicidal Ideation, Major Depressive Disorder, MDD, suicide prevention

Received: 25 May 2025; Accepted: 29 Jul 2025.

Copyright: © 2025 Yiming, Liao, Li, Zhou, Zhao, Chen, Zhang, Liu, Zhang, Dri, McIntyre, Wang, Guo, Fan and Lu. 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: Ciyong Lu, Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China

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