Cargando…

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...

Descripción completa

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
_version_ 1784803765963980800
author Sri-on, Jiraporn
Fusakul, Yupadee
Kredarunsooksree, Thiti
Paksopis, Thitiwan
Ruangsiri, Rasida
author_facet Sri-on, Jiraporn
Fusakul, Yupadee
Kredarunsooksree, Thiti
Paksopis, Thitiwan
Ruangsiri, Rasida
author_sort Sri-on, Jiraporn
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9540717
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-95407172022-10-08 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 Sri-on, Jiraporn Fusakul, Yupadee Kredarunsooksree, Thiti Paksopis, Thitiwan Ruangsiri, Rasida BMC Geriatr Research 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. BioMed Central 2022-10-07 /pmc/articles/PMC9540717/ /pubmed/36207688 http://dx.doi.org/10.1186/s12877-022-03471-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sri-on, Jiraporn
Fusakul, Yupadee
Kredarunsooksree, Thiti
Paksopis, Thitiwan
Ruangsiri, Rasida
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Research
url 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
work_keys_str_mv AT srionjiraporn theprevalenceandriskfactorsofsarcopeniaamongthaicommunitydwellingolderadultsasdefinedbytheasianworkinggroupforsarcopeniaawgs2019criteriaacrosssectionalstudy
AT fusakulyupadee theprevalenceandriskfactorsofsarcopeniaamongthaicommunitydwellingolderadultsasdefinedbytheasianworkinggroupforsarcopeniaawgs2019criteriaacrosssectionalstudy
AT kredarunsooksreethiti theprevalenceandriskfactorsofsarcopeniaamongthaicommunitydwellingolderadultsasdefinedbytheasianworkinggroupforsarcopeniaawgs2019criteriaacrosssectionalstudy
AT paksopisthitiwan theprevalenceandriskfactorsofsarcopeniaamongthaicommunitydwellingolderadultsasdefinedbytheasianworkinggroupforsarcopeniaawgs2019criteriaacrosssectionalstudy
AT ruangsirirasida theprevalenceandriskfactorsofsarcopeniaamongthaicommunitydwellingolderadultsasdefinedbytheasianworkinggroupforsarcopeniaawgs2019criteriaacrosssectionalstudy
AT srionjiraporn prevalenceandriskfactorsofsarcopeniaamongthaicommunitydwellingolderadultsasdefinedbytheasianworkinggroupforsarcopeniaawgs2019criteriaacrosssectionalstudy
AT fusakulyupadee prevalenceandriskfactorsofsarcopeniaamongthaicommunitydwellingolderadultsasdefinedbytheasianworkinggroupforsarcopeniaawgs2019criteriaacrosssectionalstudy
AT kredarunsooksreethiti prevalenceandriskfactorsofsarcopeniaamongthaicommunitydwellingolderadultsasdefinedbytheasianworkinggroupforsarcopeniaawgs2019criteriaacrosssectionalstudy
AT paksopisthitiwan prevalenceandriskfactorsofsarcopeniaamongthaicommunitydwellingolderadultsasdefinedbytheasianworkinggroupforsarcopeniaawgs2019criteriaacrosssectionalstudy
AT ruangsirirasida prevalenceandriskfactorsofsarcopeniaamongthaicommunitydwellingolderadultsasdefinedbytheasianworkinggroupforsarcopeniaawgs2019criteriaacrosssectionalstudy