Clinical Interventions in Aging (Dec 2020)
Prevalence of Sarcopenia in Community-Dwelling Older Adults According to Simplified Algorithms for Sarcopenia Consensus Based on Asian Working Group for Sarcopenia
Abstract
Hee-Kyung Chang,1 Ji-Yeon Lee,2,3 Cho-Rong Gil,3 Mi-Kyoung Kim3,4 1College of Nursing, Senior Health Research Center of the Health & Science Institute, Gyeongsang National University, Jinju, Gyeongnam-do, South Korea; 2Nursing Department, Samsung Changwon Hospital, Changwon, Gyeongnam-do, South Korea; 3Graduate College of Nursing, Gyeongsang National University, Jinju, Gyeongnam-do, South Korea; 4Nursing Department, Hamyang Center Clinic, Hamyang, Gyeongnam-do, South KoreaCorrespondence: Mi-Kyoung KimGraduate College of Nursing, Gyeongsang National University, 816-15, Jinju-Daero, Jinju, Gyeongnam 5227, South KoreaTel +82-10-8554-8985Fax +82-55-772-8222Email [email protected]: This study sought to identify the prevalence of sarcopenia in community-dwelling Korean older adults and validate two simplified diagnostic algorithms based on the Asian Working Group for Sarcopenia (AWGS) algorithm for identifying sarcopenia.Patients and Methods: Patients (n = 338) aged ≥ 65 years participated in this cross-sectional study. Muscle strength was measured by hand grip strength, physical performance by gait speed, and muscle mass by the skeletal muscle mass index (SMI). Sarcopenia was assessed using the AWGS-recommended algorithm and two simplified algorithms (A and B). Algorithms A and B were validated with respect to the AWGS-recommended algorithm using the chi-square test, and the sensitivity and specificity were obtained.Results: Sarcopenia prevalence, determined using the AWGS-recommended algorithm, was 40.3% and 41.3% in men and women, respectively. The overall prevalence of sarcopenia was 41.0% by the AWGS-recommended algorithm, 37.6% by algorithm A, and 37.6% by algorithm B; 111 participants were diagnosed with sarcopenia using all three methods (p = 0.157).Conclusion: We established sarcopenia prevalence among rural community-dwelling adults in Korea and confirmed that the simplified algorithms were suitable for the identification of sarcopenia in rural community-dwelling older adults in Korea. Further studies are needed to assess whether these simplified algorithms are applicable to older Asian adults with functional and/or cognitive impairment and nursing home residents.Keywords: algorithm, Asian Working Group for Sarcopenia, AWGS, elderly, sarcopenia, validation
