Obesity

Improving the functional detection of sarcopenic obesity: prevalence and handgrip scoring in the OBESAR cohort

Obesity (Silver Spring)Published Cross-sectional study

Authors' conclusion

Using adHGS through a scoring process considering age and sex may help to detect early signs of SO in a primary care setting in order to better prevent SO through a personalized approach in adults with obesity. A free online application, "GRip And Sarcopenia Prediction" (GRASP), is proposed to diagnose probable SO.

Study context

Population
Patients with obesity from the OBESAR cohort (184 men, 499 women); mean (SD) age 42.6 (12.8) years, BMI 44.4 (6.3) kg/m²184 men · 499 women
Participants
683 patients
Exposure
Sarcopenic obesity (SO) prevalence by functional test: Handgrip strength (HGS) (ESPEN/EASO cutoffs) vs age- and sex-adjusted HGS (adHGS) vs chair stand test
Outcome
SO prevalence according to functional test

Main finding

As reported in the abstract

SO prevalence

Observational data: associations, not effects.

Further findings

OutcomeHGSadHGS
Low muscle function: HGS below 10th percentile (adHGS) or below ESPEN/EASO cutoffs5.6%25.2%

HGS by sex

kg

HGS, women (mean [SD])
25.6 (6.8)
HGS, men (mean [SD])
43.2 (10.4)

Original publication

Improving the functional detection of sarcopenic obesity: prevalence and handgrip scoring in the OBESAR cohort. Obesity (Silver Spring). Published 28 October 2024. doi:10.1002/oby.24157

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