Investigating the visceral adiposity-major depressive disorder link: a cross-sectional NHANES 2011-2014 analysis and Mendelian randomization study

探讨内脏脂肪与重度抑郁症之间的联系:一项基于2011-2014年NHANES横断面分析和孟德尔随机化研究

阅读:2

Abstract

BACKGROUND: In recent years, the intricate interplay between physical health and mental well-being has garnered significant attention, specifically highlighting the potential influence of adipose tissue distribution, notably visceral adipose tissue (VAT) in the abdomen, on psychological states. VAT is implicated in systemic inflammation and metabolic disruptions, which are hypothesized to contribute to the onset and progression of mental health disorders, particularly major depressive disorder (MDD). METHODS: To investigate the relationship between VAT and MDD, we analyzed data from the National Health and Nutrition Examination Survey (NHANES) covering 2011 to 2014. We employed multivariate logistic regression analysis to ensure the robustness of our findings. Interaction and stratified analyses were conducted to elucidate the complex relationships between these variables, and restricted cubic spline (RCS) plots were utilized to visualize these interactions. Furthermore, Mendelian randomization (MR) analysis was performed to ascertain the directionality of the causal relationship. RESULTS: The weighted, multivariable-adjusted logistic regression analysis demonstrated a positive correlation between VAT and the risk of MDD, with an odds ratio (OR) of 1.635 (95% CI 1.004-2.664). Further analysis, after accounting for potential confounding factors, revealed a more pronounced association in women, with an OR of 1.903 (95% CI 1.051-3.445). Interaction analysis indicated a potential gender-specific association between VAT and MDD, suggesting that the relationship may differ by sex (P for interaction = 0.003). Mendelian randomization (MR) analysis supported a bidirectional causal relationship between VAT and MDD. Sensitivity analyses confirmed the robustness and reliability of the results. CONCLUSION: This study suggests that monitoring and managing VAT could enhance our understanding of the pathogenesis of MDD and provide new insights for developing more effective treatment strategies.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。