Aging Clin Exp Res. 2023 Apr 4. doi: 10.1007/s40520-023-02398-8. Online ahead of print.
ABSTRACT
BACKGROUND: Handgrip strength (HGS) is a well-established clinical biomarker that assesses functional capacity in older populations. In addition, HGS is a diagnostic tool that forecasts aging health conditions, such as sarcopenia.
AIMS: This paper provides HGS statistical tolerance regions and presents the need to establish HGS reference values according to patients’ characteristics.
METHODS: For this purpose, we used a conditional tolerance algorithm for HGS, and we observed the tolerances regions in different age strata and sex of non-sarcopenic individuals from the National Health and Nutrition Examination Survey (NHANES, wave 2011-2012).
RESULTS AND DISCUSSION: Our results have critical implications for sarcopenia, since conventional and available HGS cut-offs do not consider age range.
CONCLUSIONS: This paper offers new perspectives on the evolution of traditional definitions of sarcopenia according to the principles of precision medicine.
PMID:37014617 | DOI:10.1007/s40520-023-02398-8
