Sarcopenia Screened by the SARC-F Questionnaire and Physical Performances of Elderly Women: A Cross-Sectional Study

Objectives: Screening for sarcopenia in daily practice can be challenging. Our objective was to explore whether the SARC-F questionnaire is a valid screening tool for sarcopenia (defined by the Foundation for the National Institutes of Health [FNIH] criteria). Moreover, we evaluated the physical performance of older women according to the SARC-F questionnaire. Design: Cross-sectional study. Participants: Data from the Toulouse and Lyon EPIDemiologie de l'OSteoporose study (EPIDOS) on 3025 women living in the community (mean age: 80.5 +/- 3.9 years), without a previous history of hip fracture, were assessed. Measurements: The SARC-F self-report questionnaire score ranges from 0 to 10: a score >= 4 defines sarcopenia. The FNIH criteria uses handgrip strength (GS) and appendicular lean mass (ALM; assessed by DXA) divided by body mass index (BMI) to define sarcopenia. Outcome measures were the following performance-based tests: knee-extension strength, 6-m gait speed, and a repeated chair-stand test. The associations of sarcopenia with performance-based tests was examined using bootstrap multiple linear-regression models; adjusted R-2 determined the percentage variation for each outcome explained by the model. Results: Prevalence of sarcopenia was 16.7% (n = 504) according to the SARC-F questionnaire and 1.8% (n = 49) using the FNIH criteria. Sensibility and specificity of the SARC-F to diagnose sarcopenia (defined by FNIH criteria) were 34% and 85%, respectively. Sarcopenic women defined by SARC-F had significantly lower physical performance than nonsarcopenic women. The SARC-F improved the ability to predict poor physical performance. Conclusion: The validity of the SARC-F questionnaire to screen for sarcopenia, when compared with the FNIH criteria, was limited. However, sarcopenia defined by the SARC-F questionnaire substantially improved the predictive value of clinical characteristics of patients to predict poor physical performance. (C) 2017 AMDA - The Society for Post-Acute and Long-Term Care Medicine.