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Title:Prevalence of sarcopenia among Slovenian older adults and associated risk factors
Authors:ID Puš, Katarina (Author)
ID Pišot, Saša (Author)
ID Marušič, Uroš (Author)
ID Peskar, Manca (Author)
ID Teraž, Kaja (Author)
ID Kalc, Miloš (Author)
ID Blažun Vošner, Helena (Author)
ID Kokol, Peter (Author)
ID Završnik, Jernej (Author)
ID Šimunič, Boštjan (Author)
Files:.pdf PDF - Presentation file, download (294,19 KB)
MD5: D6B3F314ACFB90AD731F94C37F9645BD
 
URL URL - Source URL, visit https://sciendo.com/article/10.2478/sjph-2025-0013
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo ZRS Koper - Science and Research Centre Koper
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.
Keywords:sarcopenia, prevalence, epidemiology, classification algorithms, risk factors
Publication version:Version of Record
Publication date:01.01.2025
Year of publishing:2025
Number of pages:str. 103-111
Numbering:Letn. 64, št. 2
PID:20.500.12556/DiRROS-21585 New window
UDC:612.7
ISSN on article:1854-2476
DOI:10.2478/sjph-2025-0013 New window
COBISS.SI-ID:227772419 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 3. 3. 2025;
Publication date in DiRROS:03.03.2025
Views:591
Downloads:319
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Record is a part of a journal

Title:Slovenian journal of public health : the journal of National Institute of Public Health
Publisher:Nacionalni inštitut za javno zdravje
ISSN:1854-2476
COBISS.SI-ID:220604160 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P5-0381-2022
Name:Kineziologija za kakovost življenja

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J7-2605-2020
Name:Validacija markerja mišične kakovosti za diagnosticiranje sarkopenije

Funder:EC - European Commission
Project number:952401
Name:TWINning the BRAIN with machine learning for neuro-muscular efficiency
Acronym:TwinBrain

Funder:EC - European Commission
Project number:101120150
Name:ERA TALENTS FOR BOOSTING AND BALANCING BRAIN CIRCULATION
Acronym:TBrainBoost

Licences

License:CC BY-NC-ND 3.0, Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported
Link:http://creativecommons.org/licenses/by-nc-nd/3.0/
Description:You are free to reproduce and redistribute the material in any medium or format. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Secondary language

Language:Slovenian
Title:Prevalenca sarkopenije med starejšimi odraslimi v Sloveniji in povezani dejavniki tveganja
Abstract:Uvod: Čeprav je sarkopenija kompleksna bolezen, ki prizadene med 10 in 16 % svetovnega prebivalstva in obstaja za njo več klasifikacijskih algoritmov, ki vnašajo širok razpon poročane prevalence, ne obstajajo poročila o prevalenci sarkopenije med splošno populacijo slovenskih starejših odraslih. K tveganju za razvoj sarkopenije lahko prispevajo dejavniki življenjskega sloga, kot so neustrezna prehranjenost, gibalna neaktivnost, sedeči življenjski slog in zmanjšana kognitivna funkcija. Namen raziskave je ugotoviti prevalenco sarkopenije med populacijo slovenskih starejših odraslih, ugotoviti ujemanje med različnimi klasifikacijskimi algoritmi in preveriti dejavnike tveganja ali preventivne dejavnike. Metode: V raziskavi je sodelovalo 654 preiskovancev (≥ 60 let, 30,4 % moških). Uporabljeni so bili testi, ki so predlagani v EWGSOP2 (vprašalnik Sarc-F, jakost stisk pesti, 5-kratno vstajanje s stola, test vstani-in-pojdi, hitrost hoje, električna bioimpedance), preiskovanci pa so bili razvrščeni v skupine sarkopenije glede na osem različnih algoritmov (SDOC, EWGSOP, EWGSOP2, EWGSOP2 s SARC-F, EWGSOP2 brez SARC-F, EWGSOP2 s SARCalF, IWGS, FNIH). Poleg tega so bili zajeti tudi podatki o starosti, spolu, prehranjenosti (vprašalnik MNA), gibalni aktivnosti in sedentarnih navadah (vprašalnik GPAQ) ter kognitivni funkciji (TMT-a in TMT-b), ki lahko kažejo na tveganje za razvoj sarkopenije. Rezultati: Prevalenca sarkopenije je 15,3 %, 11,8 %, 4,1 %, 4,4 %, 7,7 %, 7,7 % in 2,1 % ugotovljena z algoritmi SDOC, EWGSOP, EWGSOP2, EWGSOP2 s SarCALF in EWGSOP2 brez SARC-F, FNIH in IWGS. Ujemanje med algoritmi je nizko (K = 0,429, 95 % IZ od 0,414 do 0,444), in zgolj 0,6 % preiskovancev je sarkopeničnih po vseh osmih algoritmih. Ugotovili smo, da ustrezna prehranjenost in gibalna dejavnost zmanjšujeta tveganje za razvoj sarkopenije in predstavljata preventivna dejavnika, medtem ko so starost, zmanjšana kognitivna funkcija in sedeč življenjski slog dejavniki tveganja in povečujejo tveganje za razvoj sarkopenije. Zaključek: Med slovensko populacijo starejših odraslih je opaziti manjšo pojavnost sarkopenije kot v svetovni populaciji, ne glede na uporabljen algoritem klasifikacije. Kljub temu je definicijo sarkopenije in s tem klasifikacijske algoritme potrebno poenotiti, poleg tega pa na razvoj sarkopenije vpliva več dejavnikov, ki jih je mogoče preprečiti. Z ustreznimi javnozdravstvenimi intervencijami jih je možno nadzorovati in s tem zmanjšati posledice sarkopenije.
Keywords:sarkopenija, prevalenca, epidemiologija, klasifikacijski algoritmi, dejavniki tveganja


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