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The prevalence and risk factors of sarcopenia among Thai community-dwelling older adults as defined by the Asian Working Group for Sarcopenia (AWGS-2019) criteria: a cross-sectional study

BACKGROUND: This study aimed to determine the prevalence and risk factors for sarcopenia and severe sarcopenia among urban community-dwelling adults in Thailand, using the Asian Working Group for Sarcopenia (AWGS-2019) criteria. METHODS: This cross-sectional study comprising 892 older adults aged &g...

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Detalles Bibliográficos
Autores principales: Sri-on, Jiraporn, Fusakul, Yupadee, Kredarunsooksree, Thiti, Paksopis, Thitiwan, Ruangsiri, Rasida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540717/
https://www.ncbi.nlm.nih.gov/pubmed/36207688
http://dx.doi.org/10.1186/s12877-022-03471-z
Descripción
Sumario:BACKGROUND: This study aimed to determine the prevalence and risk factors for sarcopenia and severe sarcopenia among urban community-dwelling adults in Thailand, using the Asian Working Group for Sarcopenia (AWGS-2019) criteria. METHODS: This cross-sectional study comprising 892 older adults aged > 60 years analyzed data from a cohort study (Bangkok Falls study; 2019–2021). The appendicular skeletal muscle mass was evaluated using the Bioelectrical Impedance Analysis (BIA) method. Physical performance and muscle strength were evaluated using the five-time sit-to-stand and handgrip strength tests, respectively. Logistic regression was used to determine the factors associated with sarcopenia. RESULTS: The prevalence rates of sarcopenia and severe sarcopenia were 22.2% and 9.4%, respectively. Age ≥ 70 years (adjusted odds ratio (aOR), 2.40; 95% confidence interval (CI), 1.67–3.45), body mass index (BMI) of < 18.5 kg/m(2) (aOR, 8.79; 95% CI, 4.44–17.39), Mini Nutritional Assessment (MNA) score of < 24 (aOR, 1.75; 95% CI, 1.24–2.48), and a six-item cognitive screening test score of ≥ 8 (aOR, 1.52; 95% CI, 1.08–12.15) were associated with sarcopenia. Likewise, age ≥ 70 years, BMI < 18.5 kg/m(2), and an MNA score of < 24 predicted severe sarcopenia. CONCLUSION: One-third of the urban community-dwelling older Thai adults had sarcopenia or severe sarcopenia. The age ≥ 70 years, low BMI, and inadequate nutrition increased the risk of both sarcopenia and severe sarcopenia while impaired cognitive functions predicted only sarcopenia in this population.