Impact of Using Population-Specific Cut-Points, Self-Reported Health, and Socio-Economic Parameters to Predict Sarcopenia: A Cross-Sectional Study in Community-Dwelling Kosovans Aged 60 Years and Older.

EWGSOP developing country older adults population-specific cut points sarcopenia diagnostics

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
22 Sep 2022
Historique:
received: 09 08 2022
revised: 15 09 2022
accepted: 20 09 2022
entrez: 14 10 2022
pubmed: 15 10 2022
medline: 15 10 2022
Statut: epublish

Résumé

The age-related decline of muscle strength, mass, and physical performance (sarcopenia) has been raising concerns among the scientific and healthcare communities. This decline may differ between populations, age groups, and sexes. Therefore, we aimed to explore sarcopenia together with the impact of health and socio-economic parameters in mature Kosovans. A cross-sectional study was conducted on community-dwelling adults aged ≥ 60 years (n = 240, 47.1% female) from the Prishtina region. Sarcopenia was identified using the following criteria: (i) the European Working Group in Sarcopenia for Older People (EWGSOP1), (ii) the revised EWGSOP2 algorithms, and (iii) sex-specific cut-points derived from the Kosovan population. In males, pre-sarcopenia/probable sarcopenia was detected from the EWGSOP1, EWGSOP2 and Kosovan-specific criteria at values of 3.1%, 5.5%, and 28.3%; sarcopenia was detected at 1.6%, 5.5%, and 0.0%, and severe sarcopenia was detected at 4.7%, 2.4%, and 4.7%, respectively. Pre-sarcopenia was lower in females (0.9%, 5.3%, 16.8%), with no cases of sarcopenia or severe sarcopenia detected by either algorithm. Sarcopenic males were older, had a lower weight, BMI, skeletal muscle mass, performance score, nutritional status (p < 0.001), educational level (p = 0.035), and higher malnourishment risk (p = 0.005). It is notable that high overweight and obesity levels were also detected (93.8% of females, 77.1% of males). This study highlights the importance of using population-specific cut-points when diagnosing sarcopenia, as otherwise its occurrence may be underestimated, especially in obese persons. Age, body composition, physical performance, health, and socio-economic conditions can influence the occurrence of sarcopenia.

Identifiants

pubmed: 36233448
pii: jcm11195579
doi: 10.3390/jcm11195579
pmc: PMC9572927
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Higher Education and Research in Applied Sciences (HERAS)
ID : K-02-2017
Organisme : Universi College Prishtina (Kosovo)
ID : 2802
Organisme : Vienna Doctoral School of Pharmaceutical, Nutritional, and Sport Sciences, Unversity of Vienna
Organisme : Open Access Publishing Fund, University of Vienna

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Arben Boshnjaku (A)

Centre for Sport Science and University Sports, University of Vienna, 1150 Vienna, Austria.
Vienna Doctoral School of Pharmaceutical, Nutritional and Sport Sciences (PhaNuSpo), University of Vienna, 1090 Vienna, Austria.
Department of Physiotherapy, Faculty of Medicine, University "Fehmi Agani" in Gjakova, 50000 Gjakova, Kosovo.

Abedin Bahtiri (A)

Department of Sport and Movement Science, University for Business and Technology, 10000 Pristina, Kosovo.

Kaltrina Feka (K)

Department of Psychology, Educational Science and Human Movement, University of Palermo, 90128 Palermo, Italy.
Sport and Exercise Science Research Unit, University of Palermo, 90144 Palermo, Italy.

Ermira Krasniqi (E)

Vienna Doctoral School of Pharmaceutical, Nutritional and Sport Sciences (PhaNuSpo), University of Vienna, 1090 Vienna, Austria.
Research Platform Active Ageing, University of Vienna, 1090 Vienna, Austria.

Harald Tschan (H)

Centre for Sport Science and University Sports, University of Vienna, 1150 Vienna, Austria.

Barbara Wessner (B)

Centre for Sport Science and University Sports, University of Vienna, 1150 Vienna, Austria.
Vienna Doctoral School of Pharmaceutical, Nutritional and Sport Sciences (PhaNuSpo), University of Vienna, 1090 Vienna, Austria.
Research Platform Active Ageing, University of Vienna, 1090 Vienna, Austria.

Classifications MeSH