Relative Fat Mass as an Estimator of Abdominal Adiposity in Youth Across the <scp>BMI</scp> Spectrum from Normal Weight to Obesity

RFM reflects abdominal adiposity besides %BF and could be used in longitudinal/interventional youth trials, obviating the need for expensive imaging to assess changes in total and abdominal adiposity.

Authors

Institutions

Publication Details

Journal
Pediatric Obesity
Published
2025-10-15
DOI
https://doi.org/10.1111/ijpo.70059
Citations
1
Primary Topic
Obesity, Physical Activity, Diet
Type
article
Field-Weighted Citation Impact
1.88

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relative Fat Mass as an Estimator of Abdominal Adiposity in Youth Across the BMI Spectrum from Normal Weight to Obesity

Silva Arslanian, Joon Young Kim, Wonhee Cho
1 citations
Pediatric Obesity
Obesity, Physical Activity, Diet
1.88
article

Relative Fat Mass as an Estimator of Abdominal Adiposity in Youth Across the BMI Spectrum from Normal Weight to Obesity

Silva Arslanian, Joon Young Kim, Wonhee Cho
article en
1 citations

Abstract

RFM reflects abdominal adiposity besides %BF and could be used in longitudinal/interventional youth trials, obviating the need for expensive imaging to assess changes in total and abdominal adiposity.

Pediatric ObesityVol. 20(12)
Children's Hospital of Pittsburgh (US), Syracuse University (US)
National Institute of Child Health and Human Development, National Center for Research Resources, National Center for Advancing Translational Sciences
Openalex Percentile: Top 11%
Obesity, Physical Activity, Diet
1.88
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.