Differences in fat distribution between metabolically unhealthy people with normal weight versus obesity, NHANES 2011–2018

The study shows increased android fat as the main abnormality in MUL individuals and decreased gynoid fat as the main abnormality in MUO individuals. The differences in android and gynoid fat patterns between MUL and MUO groups suggest different mechanisms of metabolic dysfunction in people who are lean versus those with obesity.

Authors

Institutions

Publication Details

Journal
BMJ Open Diabetes Research & Care
Published
2025-05-01
DOI
https://doi.org/10.1136/bmjdrc-2025-005118
Citations
3
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
3.88
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Differences in fat distribution between metabolically unhealthy people with normal weight versus obesity, NHANES 2011–2018

Tejasvi Pasupneti, Sreevastav Teja Kalangi, Rajesh Garg, Seerat Anand et al.
3 citations
BMJ Open Diabetes Research & Care
Diabetes, Cardiovascular Risks, and Lipoproteins
3.88
article

Differences in fat distribution between metabolically unhealthy people with normal weight versus obesity, NHANES 2011–2018

Tejasvi Pasupneti, Sreevastav Teja Kalangi, Rajesh Garg, Seerat Anand, Youngju Pak
article en
3 citations

Abstract

The study shows increased android fat as the main abnormality in MUL individuals and decreased gynoid fat as the main abnormality in MUO individuals. The differences in android and gynoid fat patterns between MUL and MUO groups suggest different mechanisms of metabolic dysfunction in people who are lean versus those with obesity.

BMJ Open Diabetes Research & CareVol. 13(3)
UCLA Medical Center (US), Harbor–UCLA Medical Center (US)
Good health and well-being
Openalex Percentile: Top 6%
Diabetes, Cardiovascular Risks, and Lipoproteins
3.88
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.