Prevalence of Sarcopenia and Sarcopenia Obesity using Public Data in Korea: Using National Physical Fitness 100 Measurement Data

Prevalence of Sarcopenia and Sarcopenia Obesity using Public Data in Korea: Using National Physical Fitness 100 Measurement Data

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.

키워드

National physical fitnessObesityOlder adultsPublic dataSarcopenia
제목
Prevalence of Sarcopenia and Sarcopenia Obesity using Public Data in Korea: Using National Physical Fitness 100 Measurement Data
제목 (타언어)
Prevalence of Sarcopenia and Sarcopenia Obesity using Public Data in Korea: Using National Physical Fitness 100 Measurement Data
저자
성준영권선용김채운송홍선이병문조성보이병훈김지연
발행일
2024-08
저널명
The Journal of Transdisciplinary Studies
8
2
페이지
173 ~ 181

파일 다운로드