Prevalence and determinants of sarcopenia risk among older people: evidence from a cross-sectional study
DOI:
https://doi.org/10.47197/retos.v75.118141Keywords:
Sarcopenia, risk factors, prevalence, predictors, older adults, cross-sectionalAbstract
Background/Objectives: Sarcopenia is associated with multiple negative consequences. This study aims to explore the prevalence of sarcopenia risk and its possible associated factors among older adults in Hungary.
Methods: A total of 310 older adults were included in this cross-sectional study. The study protocol was registered on clinicaltrials.gov under the identifier NCT05313360 on 28 March 2022. The participants filled a questionnaire that included demographics, medical history, nutritional status, physical activity level, health-related quality of life, and general health status. SARC-F questionnaire was used to screen for sarcopenia risk among the study participants.
Results: Our results showed that the prevalence of sarcopenia risk was 26.8%. The predictors in the univariate regression model included age (p < .001), number of medications (p < .001), number of diseases (p < .001), number of outpatient physician visits(p = .001), MNA-SF score (p < .001), and GPAQ score (p < .001). After controlling for age in Block 1 (R² = .295), our multivariate linear hierarchical regression model (Block 2, R² = .483) demonstrated that the number of medications (p = .013), number of diseases (p = .007), MNA-SF score (p < .001), and total GPAQ score (p = .004) significantly were significant independent predictors of a greater sarcopenia risk.
Conclusion: the number of medications, the number of diseases, MNA-SF, and total GPAQ scores significantly predicted sarcopenia risk. Further longitudinal studies are recommended to examine the development of sarcopenia over timewith.
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