Body composition differences between adults with multiple sclerosis and BMI-matched controls without MS.
Brooks C Wingo, Hui-Ju Young, Robert W Motl
PMID 29074384WHAT IT FOUND
Across men and women together, body composition did not show a clear difference between adults with MS and BMI-matched controls.
Men with MS had lower lean mass and higher fat mass in arms, legs, and trunk; women did not.
Key findings
01When men and women were combined, there were no significant between-group differences in body composition.
02Men with MS had lower whole-body lean mass and higher whole-body fat mass and percent body fat than matched controls.
03Women with MS had similar patterns, but none of the differences reached statistical significance.
STILL TO COME
How it was doneWhat they foundWhat it means for PTs
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What it does not show
This was a secondary analysis of existing data, and only 51 matched pairs could be included, so the male subgroup was small. The combined male and female analysis did not show body composition differences; the male findings came from sex-specific analyses and are preliminary. The female differences were not significant, and the authors noted the sample size may have been too small to detect them. Participants had to be ambulatory and able to exercise, so results may not apply to people with more severe MS or mobility impairment. Physical activity, physical function, and comorbidities were not available for the whole sample, so the study cannot say why body composition differed. DXA cannot measure visceral, intermuscular, or liver fat, so cardiometabolic risk explanations remain uncertain. The study is observational, so it cannot show that MS caused body composition differences.
Declared interests
The authors report no conflicts of interest. The supplied text does not name a sponsor or funding source.
The easy way to misread this
Do not conclude that MS causes men to have less muscle and more fat. The overall comparison across men and women showed no clear body composition difference, and the male findings came from a small sex-specific analysis of existing data.