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A cross-sectional study about the relationship between physical activity and sarcopenia in Taiwanese older adults
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A cross-sectional study about the relationship between physical activity and sarcopenia in Taiwanese older adults
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A cross-sectional study about the relationship between physical activity and sarcopenia in Taiwanese older adults
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Journal Article
A cross-sectional study about the relationship between physical activity and sarcopenia in Taiwanese older adults
2021
Overview
To the best of our knowledge, none of Taiwanese studies on the relationship between physical activity (PA) and sarcopenia by the latest 2019 Asian Working Group for Sarcopenia (AWGS) cutoff points of sarcopenia has been published. We used the Taiwan version of international physical activity questionnaire-short version and the 2019 AWGS diagnostic criteria of sarcopenia to examine the relationship between PA and sarcopenia in older adults. Volunteers in this cross-sectional study were recruited from those attending senior health checkup program held at a regional hospital in Taipei City from May 2019 to Sep 2019. Muscle strength was assessed by grip strength, physical performance was assessed by usual gait speed on a 6-m course, and muscle mass was measured by bioelectrical impedance analysis. Multiple logistic regression was used to analyze the relationship between PA and sarcopenia. Odds ratios and corresponding 95% confidence intervals were calculated. 565 participants were recruited and data from 500 participants were used. The study participants had a mean age of 73.87 years old, with 47% men and 53% women. 138 (27.6%) participants were classified as having sarcopenia, among which 48 (45.3%) in low PA participants and 90 (22.8%) in moderate to high PA participants. Compared with those with low PA, moderate to high PA protected against the risk of sarcopenia with the odds ratio (OR) 0.46 (95% CI 0.27–0.79, p-value = 0.005). A significant protective effect of PA on sarcopenia was found among the older adults after adjusting for sex, institutionalization, age, BMI, albumin, hemoglobin, HDL-C levels, history of cardiovascular disease, education level and alcohol drinking.
