Cross sectional analyses indicated that body fat distribution was not associated with performance-based and self-reported outcomes among ambulatory people with multiple sclerosis

Our results did not support an association between body fat distribution and frequently studied MS-related outcomes. This aligns with research suggesting a limited role of adiposity and MS-related outcomes.

Authors

Institutions

Publication Details

Journal
Multiple Sclerosis and Related Disorders
Published
2026-02-18
DOI
https://doi.org/10.1016/j.msard.2026.107084
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cross sectional analyses indicated that body fat distribution was not associated with performance-based and self-reported outcomes among ambulatory people with multiple sclerosis

Ariel Kidwell-Chandler, Brenda Jeng, Robert W. Motl
Multiple Sclerosis and Related Disorders
Multiple Sclerosis Research Studies
article

Cross sectional analyses indicated that body fat distribution was not associated with performance-based and self-reported outcomes among ambulatory people with multiple sclerosis

Ariel Kidwell-Chandler, Brenda Jeng, Robert W. Motl
article en

Abstract

Our results did not support an association between body fat distribution and frequently studied MS-related outcomes. This aligns with research suggesting a limited role of adiposity and MS-related outcomes.

Multiple Sclerosis and Related DisordersVol. 109
Illinois College (US), University of Illinois Chicago (US)
Zero hunger
Openalex Percentile: Top 54%
Multiple Sclerosis Research Studies
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.