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

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.

Authors

Institutions

Publication Details

Journal
Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity
Published
2025-10-21
DOI
https://doi.org/10.1007/s40519-025-01777-6
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Mengying Hu, Fei Jiang
Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity
Genetic Associations and Epidemiology
article

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

Mengying Hu, Fei Jiang
article en

Abstract

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.

Eating and Weight Disorders - Studies on Anorexia Bulimia and ObesityVol. 30(1)
Central South University (CN), High Magnetic Field Laboratory (CN), Xiangya Hospital Central South University (CN), Beihang University (CN)
Openalex Percentile: Top 68%
Genetic Associations and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.