Cited by 226Nutrition and Health in AgingFrailty in Older AdultsBody Composition Measurement Techniques

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Malnutrition as a Strong Predictor of the Onset of Sarcopenia

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Beaudart, Charlotte, Sanchez-Rodriguez, Dolores, Locquet, Médéa, Reginster, Jean-Yves, Lengelé, Laetitia, Bruyère, Olivier·2019·Nutrients

DOI 10.3390/nu11122883PMC PMC6950107

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Abstract

This study aims to explore the association between malnutrition diagnosed according to both the Global Leadership Initiative of Malnutrition (GLIM) and the European Society of Clinical Nutrition and Metabolism (ESPEN) criteria and the onset of sarcopenia/severe sarcopenia, diagnosed according to the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criterion, in the sarcopenia and physical impairment with advancing age (SarcoPhAge) cohort during a four-year follow-up. Adjusted Cox-regression and Kaplan-Meier curves were performed. Among the 534 community-dwelling participants recruited in the SarcoPhAge study, 510 were free from sarcopenia at baseline, of whom 336 had complete data (186 women and 150 men, mean age of 72.5 ± 5.8 years) to apply the GLIM and ESPEN criteria. A significantly higher risk of developing sarcopenia/severe sarcopenia during the four-year follow-up based on the GLIM [sarcopenia: Adjusted hazard ratio (HR) = 3.23 (95% confidence interval (CI) 1.73–6.05); severe sarcopenia: Adjusted HR = 2.87 (95% CI 1.25–6.56)] and ESPEN [sarcopenia: Adjusted HR = 4.28 (95% CI 1.86–9.86); severe sarcopenia: Adjusted HR = 3.86 (95% CI 1.29–11.54)] criteria was observed. Kaplan-Meier curves confirmed this relationship (log rank p < 0.001 for all). These results highlighted the importance of malnutrition since it has been shown to be associated with an approximately fourfold higher risk of developing sarcopenia/severe sarcopenia during a four-year follow-up.

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Authors: Beaudart, C., Sanchez-Rodriguez, D., Locquet, M., Reginster, J.-Y., Lengelé, L., & Bruyère, O.
Affiliations: University of Liège (BE)
WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, CHU—Sart Tilman, Quartier Hôpital, Avenue Hippocrate 13 (Bât. B23), 4000 Liège, Belgium
Corresponding author: Beaudart, Charlotte
ORCID: Beaudart, Charlotte
Sanchez-Rodriguez, Dolores
Locquet, Médéa
Reginster, Jean-Yves
Lengelé, Laetitia
Bruyère, Olivier
Venue: Nutrients
Publisher: MDPI AG
Published: 2019-11-27
Volume: 11
Issue: 12
Pages: 2883
ISSN: 2072-6643 (ISSN-L)
DOI: 10.3390/nu11122883
PMC: PMC6950107
OpenAlex: W2990196144
Cited by: 226
References: 53
Citations by year: 2026: 24 · 2025: 34 · 2024: 29 · 2023: 34 · 2022: 27 · 2021: 57 · 2020: 21
FWCI: 18.01
Type: journal article
Language: en
Open access: gold
dx.doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Nutrients (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
HAL (submittedVersion)
ORBi (University of Liège) (submittedVersion, other-oa)
Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion, cc-by)
Funders: Fonds De La Recherche Scientifique - FNRS
Topics: Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
Keywords: malnutrition, sarcopenia, severe sarcopenia, GLIM criteria, ESPEN criteria, EWGSOP2 criteria, older adults, community-dwelling older adults, risk prediction
MeSH terms: Aged, Aging, Female, Humans, Male, Prospective Studies, Risk Factors, Cohort Studies, Proportional Hazards Models, Malnutrition, Sarcopenia, Independent Living

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Malnutrition as a Strong Predictor of the Onset of Sarcopenia

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