Association Between Trunk Fat Mass Index and Diabetes in a Multinational Population

Within a specific BMI category, individuals with a high trunk fat mass are more likely to experience diabetes compared with those with lower levels of central fat.

Authors

Institutions

Publication Details

Journal
Mayo Clinic Proceedings Innovations Quality & Outcomes
Published
2025-09-23
DOI
https://doi.org/10.1016/j.mayocpiqo.2025.100658
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association Between Trunk Fat Mass Index and Diabetes in a Multinational Population

Ryan R. Porter, Min‐Jeong Shin, Dahyun Park, Xuemei Sui et al.
Mayo Clinic Proceedings Innovations Quality & Outcomes
Liver Disease Diagnosis and Treatment
article

Association Between Trunk Fat Mass Index and Diabetes in a Multinational Population

Ryan R. Porter, Min‐Jeong Shin, Dahyun Park, Xuemei Sui, Jessica Gong, Jason R. Jaggers, Carl J. Lavie, Madison M. Kindred, Hannah Oh, Chibueze Ogbonnaya, Jin Kim, Vivek Prasad
article en

Abstract

Within a specific BMI category, individuals with a high trunk fat mass are more likely to experience diabetes compared with those with lower levels of central fat.

Mayo Clinic Proceedings Innovations Quality & OutcomesVol. 9(5)
University of London (GB), Texas Christian University (US), University of Louisville (US), University of South Carolina (US), The University of Queensland (AU), Korea University (KR), Augusta University (US), University College London (GB)
Openalex Percentile: Top 63%
Liver Disease Diagnosis and Treatment
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.