Prevalence of Sarcopenia and Sarcopenia Obesity using Public Data in Korea: Using National Physical Fitness 100 Measurement Data
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초록
This study aimed to analyze the differences in the prevalence of sarcopenia, sarcopenic obesity, and motor function using multi-year big data to confirm the prevalence of sarcopenia and sarcopenic obesity in Korean society and analyze the differences in motor function in each group. Data measured for 6 years from 2013 to 2018 were used among the 100 data points on national physical strength, and the total number of participants was 154,884 older adults (male, 51,653; female, 103,227). For statistical analysis, differ ences between groups were evaluated using one-way ANOVA, and Tukey’s test was used for postmortem analysis. Hierarchical regression analysis was performed to analyze the relationship between sarcopenic obesity and each variable. The frequency survey by group showed the following results (normal n = 100,880; possible n = 24,830; Sarcopenia = 14,055; SO n = 15,119), and the hierarchical regression analysis results were as follows: (Model 1: R2, 0.108; p<0.001; Model 2: R2, 0.193; p<0.001; Model 3: R2, 0.484; p<0.001). This study analyzed the differences in the prevalence of sarcopenia, sarcopenic obesity, and motor function using big data in Korea and analyzed the relationship between the differences in each stage of sarcopenia and the variables affecting sarcopenia. These studies might play an important role in improving the quality of life of the older adults by preventing sarcopenia and improving the community healthcare system.
Abstract
This study aimed to analyze the differences in the prevalence of sarcopenia, sarcopenic obesity, and motor function using multi-year big data to confirm the prevalence of sarcopenia and sarcopenic obesity in Korean society and analyze the differences in motor function in each group. Data measured for 6 years from 2013 to 2018 were used among the 100 data points on national physical strength, and the total number of participants was 154,884 older adults (male, 51,653; female, 103,227). For statistical analysis, differ ences between groups were evaluated using one-way ANOVA, and Tukey’s test was used for postmortem analysis. Hierarchical regression analysis was performed to analyze the relationship between sarcopenic obesity and each variable. The frequency survey by group showed the following results (normal n = 100,880; possible n = 24,830; Sarcopenia = 14,055; SO n = 15,119), and the hierarchical regression analysis results were as follows: (Model 1: R2, 0.108; p<0.001; Model 2: R2, 0.193; p<0.001; Model 3: R2, 0.484; p<0.001). This study analyzed the differences in the prevalence of sarcopenia, sarcopenic obesity, and motor function using big data in Korea and analyzed the relationship between the differences in each stage of sarcopenia and the variables affecting sarcopenia. These studies might play an important role in improving the quality of life of the older adults by preventing sarcopenia and improving the community healthcare system.
참고문헌 (13)
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