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. 2025 May 10:2025:6648190.
doi: 10.1155/da/6648190. eCollection 2025.

Association Between Body Mass Index and Comorbid Anxiety in First-Episode and Drug Naïve Patients With Major Depressive Disorder

Affiliations

Association Between Body Mass Index and Comorbid Anxiety in First-Episode and Drug Naïve Patients With Major Depressive Disorder

Shilin Liu et al. Depress Anxiety. .

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.

Keywords: anxiety symptoms; body mass index; double robust estimation; major depressive disorder; non-linear relationship.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
(A) the results of univariate and multivariate logistic regression when analysed the influence of varying BMI levels on the occurrence of anxiety symptoms in FEDN MDD patients; Model 1 represented the univariate analysis; Model 2 represented the multivariate analysis adjusting all covariates; Model 3 represented the multivariate analysis adjusting duration of illness, HDL-C, TPOAb, TC and HAMD based on the results of stepwise backward approach and collinearity analysis. (B) the results of the univariate logistic analysis conducted following the double robust estimation.
Figure 2
Figure 2
Association between BMI and anxiety symptoms. Multivariable adjusted odds ratios for anxiety symptoms according to initial BMI on a continuous scale was a nonlinear relationship (p for nonlinearity < 0.01). Solid red lines were multivariable-adjusted odds ratios, with red areas showing 95% confidence intervals derived from restricted cubic spline regressions with five knots. Reference lines for no association were indicated by the black dashed lines at a odds ratio of 1.0 and the reference knot setted at 26.9 kg/m2. All 13 covariates were adjusted.
Figure 3
Figure 3
Subgroup analysis of the association between BMI and anxiety symptoms. The logistic regression model derived the OR (95% CI). All were adjusted for age at onset, gender, duration of illness, education, HAMD, TC, TG, HDL-C, LDL-C, FBG, FT3, TGAb, and TPOAb.

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