Evidence map›Paper›PMID 40026371›Full record

ArticleZdravstveno varstvo2025

Prevalence of Sarcopenia Among Slovenian Older Adults and Associated Risk Factors.

Katarina Puš, Saša Pišot, Uroš Marušič, Manca Peskar, Kaja Teraž, Miloš Kalc, Helena Blažun Vošner, Peter Kokol, Jernej Završnik, Boštjan Šimunič

Abstract read
In one paragraph

Article in Zdravstveno varstvo, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Katarina PušScience and Research Centre Koper, Institute for Kinesiology Research, Garibaldijeva ulica 1, Koper, Slovenia.ORCID https://orcid.org/0000-0002-2892-5318
Saša PišotScience and Research Centre Koper, Institute for Kinesiology Research, Garibaldijeva ulica 1, Koper, Slovenia.ORCID https://orcid.org/0000-0002-7597-8105
Uroš MarušičScience and Research Centre Koper, Institute for Kinesiology Research, Garibaldijeva ulica 1, Koper, Slovenia.ORCID https://orcid.org/0000-0002-7420-2137
Manca PeskarScience and Research Centre Koper, Institute for Kinesiology Research, Garibaldijeva ulica 1, Koper, Slovenia.ORCID https://orcid.org/0000-0001-8524-5346
Kaja TeražScience and Research Centre Koper, Institute for Kinesiology Research, Garibaldijeva ulica 1, Koper, Slovenia.ORCID https://orcid.org/0000-0002-4184-8791
Miloš KalcScience and Research Centre Koper, Institute for Kinesiology Research, Garibaldijeva ulica 1, Koper, Slovenia.ORCID https://orcid.org/0000-0001-7002-2924
Helena Blažun VošnerCommunity Healthcare Center Adolf Drolc, Ulica talcev 9, 2000 Maribor, Slovenia.ORCID https://orcid.org/0000-0003-1998-7346
Peter KokolCommunity Healthcare Center Adolf Drolc, Ulica talcev 9, 2000 Maribor, Slovenia.ORCID https://orcid.org/0000-0001-9102-9359
Jernej ZavršnikCommunity Healthcare Center Adolf Drolc, Ulica talcev 9, 2000 Maribor, Slovenia.ORCID https://orcid.org/0000-0002-5023-0483
Boštjan ŠimuničScience and Research Centre Koper, Institute for Kinesiology Research, Garibaldijeva ulica 1, Koper, Slovenia.ORCID https://orcid.org/0000-0003-1565-7833

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Sarcopenia is a multifaceted condition affecting between 10 and 16% of the global population, and although multiple classification algorithms exist, no prevalence has been reported for a representative sample of the Slovenian population. Furthermore, multiple behavioural factors, such as malnutrition, physical inactivity, sedentary lifestyle and lower cognitive function, can contribute to the risk of sarcopenia. This study aims to: a) determine sarcopenia prevalence among Slovenian older adults according to different classification algorithms, b) compare the agreement among the algorithms and c) evaluate the relationship between proposed risk factors and sarcopenia. Methods: 654 participants (≥60 years, 30.4% males) have been classified into sarcopenia groups according to eight algorithms, and agreement (Fleiss K) between them was calculated. Additionally, age, sex, nutritional status, physical activity, sedentary levels and cognitive function were assessed as sarcopenia risk/protective factors. Results: The prevalence of sarcopenia according to EWGSOP2 was 4.1%, ranging from 2.1% to 15.3%, when classified by all eight algorithms. Overall agreement between algorithms was weak (K=.429; 95% CI .414 to .444) with 0.6% of participants classified as sarcopenic by all eight algorithms. Adequate nutrition and physical activity were identified as protective factors, while age, lower cognitive function and sedentary lifestyle were considered risk factors. Conclusion: Sarcopenia prevalence among the Slovenian general population was lower than in the global population. We can conclude that different sarcopenia algorithms lead to a different prevalence of sarcopenia. It is of great importance to be cautious when comparing prevalences among studies and to further validate the classification algorithms.

Indexed as

Classification algorithmsEpidemiologyPrevalenceRisk factorsSarcopenia

Identifiers

PMID40026371
PMCPMC11870320

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.