Cargando…
Impact of Different Operational Definitions of Sarcopenia on Prevalence in a Population-Based Sample: The Salus in Apulia Study
Background: In 2010, the European Working Group on Sarcopenia in Older People (EWGSOP1) issued its first operational definition to diagnose sarcopenia. This was updated in 2019 with a revised sequence of muscle mass and muscle strength (EWGSOP2). The aim of the study was to investigate the impact of...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700814/ https://www.ncbi.nlm.nih.gov/pubmed/34948590 http://dx.doi.org/10.3390/ijerph182412979 |
_version_ | 1784620848745807872 |
---|---|
author | Lampignano, Luisa Bortone, Ilaria Castellana, Fabio Donghia, Rossella Guerra, Vito Zupo, Roberta De Pergola, Giovanni Di Masi, Marta Giannelli, Gianluigi Lozupone, Madia Panza, Francesco Boeing, Heiner Sardone, Rodolfo |
author_facet | Lampignano, Luisa Bortone, Ilaria Castellana, Fabio Donghia, Rossella Guerra, Vito Zupo, Roberta De Pergola, Giovanni Di Masi, Marta Giannelli, Gianluigi Lozupone, Madia Panza, Francesco Boeing, Heiner Sardone, Rodolfo |
author_sort | Lampignano, Luisa |
collection | PubMed |
description | Background: In 2010, the European Working Group on Sarcopenia in Older People (EWGSOP1) issued its first operational definition to diagnose sarcopenia. This was updated in 2019 with a revised sequence of muscle mass and muscle strength (EWGSOP2). The aim of the study was to investigate the impact of these different operational definitions on sarcopenia prevalence in a representative population-based sample. Methods: For each algorithm, the prevalence of sarcopenia-related categories was calculated and related to sociodemographic and lifestyle variables, anthropometric parameters, and laboratory biomarkers. The present analysis used data from the Salus in Apulia Study (Italy, 740 subjects, mean age 75.5 ± 5.9 years, 54% women). Results: The application of the EWGSOP1 adapted algorithm resulted in 85% [95% confidence intervals (CI): 82–88%] non-sarcopenic subjects, 10% (95% CI: 8–12%) pre-sarcopenic subjects, and 5% (95% CI: 3–7%) sarcopenic/severe sarcopenic subjects. The sarcopenia-related categories were inversely related to weight and body mass index (BMI), particularly in overweight/obese subjects, and these categories showed favorable metabolic biomarkers. The EWGSOP2 algorithm yielded 73% (95% CI: 69–76%) non-sarcopenic subjects, 24% (95% CI: 21–27%) probably sarcopenic subjects, and 4% (95% CI: 2–5%) sarcopenic subjects. Conclusions: The present study identified BMI as a potential confounder of the prevalence estimates of sarcopenia-related categories in population-based settings with different EWGSOP operational definitions. |
format | Online Article Text |
id | pubmed-8700814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87008142021-12-24 Impact of Different Operational Definitions of Sarcopenia on Prevalence in a Population-Based Sample: The Salus in Apulia Study Lampignano, Luisa Bortone, Ilaria Castellana, Fabio Donghia, Rossella Guerra, Vito Zupo, Roberta De Pergola, Giovanni Di Masi, Marta Giannelli, Gianluigi Lozupone, Madia Panza, Francesco Boeing, Heiner Sardone, Rodolfo Int J Environ Res Public Health Article Background: In 2010, the European Working Group on Sarcopenia in Older People (EWGSOP1) issued its first operational definition to diagnose sarcopenia. This was updated in 2019 with a revised sequence of muscle mass and muscle strength (EWGSOP2). The aim of the study was to investigate the impact of these different operational definitions on sarcopenia prevalence in a representative population-based sample. Methods: For each algorithm, the prevalence of sarcopenia-related categories was calculated and related to sociodemographic and lifestyle variables, anthropometric parameters, and laboratory biomarkers. The present analysis used data from the Salus in Apulia Study (Italy, 740 subjects, mean age 75.5 ± 5.9 years, 54% women). Results: The application of the EWGSOP1 adapted algorithm resulted in 85% [95% confidence intervals (CI): 82–88%] non-sarcopenic subjects, 10% (95% CI: 8–12%) pre-sarcopenic subjects, and 5% (95% CI: 3–7%) sarcopenic/severe sarcopenic subjects. The sarcopenia-related categories were inversely related to weight and body mass index (BMI), particularly in overweight/obese subjects, and these categories showed favorable metabolic biomarkers. The EWGSOP2 algorithm yielded 73% (95% CI: 69–76%) non-sarcopenic subjects, 24% (95% CI: 21–27%) probably sarcopenic subjects, and 4% (95% CI: 2–5%) sarcopenic subjects. Conclusions: The present study identified BMI as a potential confounder of the prevalence estimates of sarcopenia-related categories in population-based settings with different EWGSOP operational definitions. MDPI 2021-12-09 /pmc/articles/PMC8700814/ /pubmed/34948590 http://dx.doi.org/10.3390/ijerph182412979 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lampignano, Luisa Bortone, Ilaria Castellana, Fabio Donghia, Rossella Guerra, Vito Zupo, Roberta De Pergola, Giovanni Di Masi, Marta Giannelli, Gianluigi Lozupone, Madia Panza, Francesco Boeing, Heiner Sardone, Rodolfo Impact of Different Operational Definitions of Sarcopenia on Prevalence in a Population-Based Sample: The Salus in Apulia Study |
title | Impact of Different Operational Definitions of Sarcopenia on Prevalence in a Population-Based Sample: The Salus in Apulia Study |
title_full | Impact of Different Operational Definitions of Sarcopenia on Prevalence in a Population-Based Sample: The Salus in Apulia Study |
title_fullStr | Impact of Different Operational Definitions of Sarcopenia on Prevalence in a Population-Based Sample: The Salus in Apulia Study |
title_full_unstemmed | Impact of Different Operational Definitions of Sarcopenia on Prevalence in a Population-Based Sample: The Salus in Apulia Study |
title_short | Impact of Different Operational Definitions of Sarcopenia on Prevalence in a Population-Based Sample: The Salus in Apulia Study |
title_sort | impact of different operational definitions of sarcopenia on prevalence in a population-based sample: the salus in apulia study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700814/ https://www.ncbi.nlm.nih.gov/pubmed/34948590 http://dx.doi.org/10.3390/ijerph182412979 |
work_keys_str_mv | AT lampignanoluisa impactofdifferentoperationaldefinitionsofsarcopeniaonprevalenceinapopulationbasedsamplethesalusinapuliastudy AT bortoneilaria impactofdifferentoperationaldefinitionsofsarcopeniaonprevalenceinapopulationbasedsamplethesalusinapuliastudy AT castellanafabio impactofdifferentoperationaldefinitionsofsarcopeniaonprevalenceinapopulationbasedsamplethesalusinapuliastudy AT donghiarossella impactofdifferentoperationaldefinitionsofsarcopeniaonprevalenceinapopulationbasedsamplethesalusinapuliastudy AT guerravito impactofdifferentoperationaldefinitionsofsarcopeniaonprevalenceinapopulationbasedsamplethesalusinapuliastudy AT zuporoberta impactofdifferentoperationaldefinitionsofsarcopeniaonprevalenceinapopulationbasedsamplethesalusinapuliastudy AT depergolagiovanni impactofdifferentoperationaldefinitionsofsarcopeniaonprevalenceinapopulationbasedsamplethesalusinapuliastudy AT dimasimarta impactofdifferentoperationaldefinitionsofsarcopeniaonprevalenceinapopulationbasedsamplethesalusinapuliastudy AT giannelligianluigi impactofdifferentoperationaldefinitionsofsarcopeniaonprevalenceinapopulationbasedsamplethesalusinapuliastudy AT lozuponemadia impactofdifferentoperationaldefinitionsofsarcopeniaonprevalenceinapopulationbasedsamplethesalusinapuliastudy AT panzafrancesco impactofdifferentoperationaldefinitionsofsarcopeniaonprevalenceinapopulationbasedsamplethesalusinapuliastudy AT boeingheiner impactofdifferentoperationaldefinitionsofsarcopeniaonprevalenceinapopulationbasedsamplethesalusinapuliastudy AT sardonerodolfo impactofdifferentoperationaldefinitionsofsarcopeniaonprevalenceinapopulationbasedsamplethesalusinapuliastudy |