{"title":"Association Between Body Mass Index and Comorbid Anxiety in First-Episode and Drug Naïve Patients With Major Depressive Disorder","authors":"Shilin Liu, Yu Huang, Aixin Liu, Xiaoxuan Li, Yifan Fu, Wei Wang, Yuechun Wen, Tao Jiang, Xiangyang Zhang","doi":"10.1155/da/6648190","DOIUrl":null,"url":null,"abstract":"<div>\n <p><b>Objective:</b> There is limited evidence regarding the relationship between body mass index (BMI) and anxiety symptoms in individuals with major depressive disorder (MDD), and the findings are controversial. This study aimed to explore the association between BMI and anxiety symptoms in patients with first-episode drug-naïve (FEDN) MDD.</p>\n <p><b>Methods:</b> A total of 1718 FEDN MDD patients were included in this study, gathering information on their sociodemographic attributes and physical measurements. BMI was classified into three categories (normal, overweight, and obese) based on the standards of the Working Group on Obesity in China (WGOC). Logistic regression and double robust estimation were used to assess the association between anxiety symptoms and BMI. Additionally, a restricted cubic spline (RCS) analysis was used to examine the relationship between anxiety symptoms and BMI. If nonlinear associations existed, threshold effects were analyzed using a two-piecewise logistic regression model. The subgroup analysis was performed to validate the robustness of the findings.</p>\n <p><b>Results:</b> Among 1718 patients, 12.7% (218) exhibited anxiety symptoms. After adjusting for confounding variables, multivariable logistic regression analysis revealed a positive association between BMI and the risk of experiencing anxiety symptoms (OR = 1.13, 95% CI: 1.039–1.229, <i>p</i> = 0.004). These findings were further confirmed using a doubly robust estimation. Additionally, RCS analysis revealed a nonlinear correlation between BMI and anxiety symptoms, with a turning point of 26.9 kg/m<sup>2</sup>. On the left side of the inflection point, a positive association between BMI and anxiety symptoms was detected (OR = 1.167, 95% CI: 1.055–1.296, <i>p</i> = 0.003), while no significant association was observed on the right side of the inflection point (OR = 1.01, 95% CI: 0.685–1.341, <i>p</i> = 0.972). Subgroup analyses revealed significant variations in the association between gender and education level.</p>\n <p><b>Conclusion:</b> This study demonstrated that a higher BMI was associated with an increased risk of experiencing anxiety symptoms in Chinese patients with FEDN MDD, particularly among those with a BMI below 26.9 kg/m<sup>2</sup>.</p>\n </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/6648190","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Depression and Anxiety","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/da/6648190","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: There is limited evidence regarding the relationship between body mass index (BMI) and anxiety symptoms in individuals with major depressive disorder (MDD), and the findings are controversial. This study aimed to explore the association between BMI and anxiety symptoms in patients with first-episode drug-naïve (FEDN) MDD.
Methods: A total of 1718 FEDN MDD patients were included in this study, gathering information on their sociodemographic attributes and physical measurements. BMI was classified into three categories (normal, overweight, and obese) based on the standards of the Working Group on Obesity in China (WGOC). Logistic regression and double robust estimation were used to assess the association between anxiety symptoms and BMI. Additionally, a restricted cubic spline (RCS) analysis was used to examine the relationship between anxiety symptoms and BMI. If nonlinear associations existed, threshold effects were analyzed using a two-piecewise logistic regression model. The subgroup analysis was performed to validate the robustness of the findings.
Results: Among 1718 patients, 12.7% (218) exhibited anxiety symptoms. After adjusting for confounding variables, multivariable logistic regression analysis revealed a positive association between BMI and the risk of experiencing anxiety symptoms (OR = 1.13, 95% CI: 1.039–1.229, p = 0.004). These findings were further confirmed using a doubly robust estimation. Additionally, RCS analysis revealed a nonlinear correlation between BMI and anxiety symptoms, with a turning point of 26.9 kg/m2. On the left side of the inflection point, a positive association between BMI and anxiety symptoms was detected (OR = 1.167, 95% CI: 1.055–1.296, p = 0.003), while no significant association was observed on the right side of the inflection point (OR = 1.01, 95% CI: 0.685–1.341, p = 0.972). Subgroup analyses revealed significant variations in the association between gender and education level.
Conclusion: This study demonstrated that a higher BMI was associated with an increased risk of experiencing anxiety symptoms in Chinese patients with FEDN MDD, particularly among those with a BMI below 26.9 kg/m2.
期刊介绍:
Depression and Anxiety is a scientific journal that focuses on the study of mood and anxiety disorders, as well as related phenomena in humans. The journal is dedicated to publishing high-quality research and review articles that contribute to the understanding and treatment of these conditions. The journal places a particular emphasis on articles that contribute to the clinical evaluation and care of individuals affected by mood and anxiety disorders. It prioritizes the publication of treatment-related research and review papers, as well as those that present novel findings that can directly impact clinical practice. The journal's goal is to advance the field by disseminating knowledge that can lead to better diagnosis, treatment, and management of these disorders, ultimately improving the quality of life for those who suffer from them.