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ABSTRACT: Objectives
Our aim was to investigate the prevalence and predictive variables of sarcopenia.Methods
We recruited participants from the Peking Union Medical College Hospital Multicenter Prospective Longitudinal Sarcopenia Study (PPLSS). Muscle mass was quantified using bioimpedance, and muscle function was quantified using grip strength and gait speed. Logistic regression revealed the relationships between sarcopenia and nutritional, lifestyle, disease, psychosocial and physical variables.Results
The prevalence of sarcopenia and sarcopenic obesity was 9.2%-16.2% and 0.26%-9.1%, respectively. Old age, single status, undernourishment, higher income, smoking, low physical activity, poor appetite and low protein diets were significantly associated with sarcopenia. Multip
SUBMITTER: Li CW
PROVIDER: S-EPMC8016649 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature