277 KB54 KB200220262025Čanković, SonjaDragnić, NatašaHarhaji, SanjaMijatović Jovanović, VesnaRadić, IvanaUkropina, Snežanaštevilka:4letnik:64str. 208-217ISSN:0351-0026DOI:10.2478/sjph-2025-0027COBISSID:261262595URN:URN:NBN:SI:doc-14VXAR2VenNacionalni inštitut za javno zdravjeZdravstveno varstvoclusteringdejavniki tveganjagrozdenjelifestylerisk factorssamoocena zdravjaself-rated healthSerbiaSrbijaživljenjski slogThe clustering of lifestyle risk factors in the Serbian adult population and association with self-rated health| Grozdenje dejavnikov tveganja na področju življenjskega sloga pri odraslem prebivalstvu Srbije in povezava s samooceno zdravja|Introduction Our objective was to identify clusters of lifestyle risk factors among Serbian adults and assess associations with socio-demographic characteristics and self-rated health. Methods The sample included 7,885 adults aged 18 and over from the 2019 Serbian National Health Survey, who provided information on all four lifestyle risk factors (smoking, physical inactivity, low fruit and vegetable intake and risky drinking). The Two-Step Cluster Analysis was used to identify different health-related lifestyle clusters. Logistic regression models were used to assess the association of obtained clusters with socio-demographic characteristics and self-rated health. Results Five distinct clusters of lifestyle risk factors were identified: Healthy lifestyle (cluster 1), Low fruit and vegetable intake (cluster 2), Physical inactivity (cluster 3), Smoking and other risk factors (cluster 4), Risky drinking and other risk factors (cluster 5). Multi-risk groups (cluster 4, cluster 5) exhibit specific socio-demographic characteristics (men, younger adults, living alone, less educated). Adults in unhealthy lifestyle clusters were more likely to report poor self-rated health than adults in the healthy lifestyle cluster. Conclusions Individuals who were men, younger, living alone, less educated and those with poor self-reported health were more likely to engage in clusters of lifestyle risk factors and represent high-priority population groups for multiple health behaviour change interventionsUvod Naš cilj je bil identificirati skupine dejavnikov tveganja življenjskega sloga med odraslimi Srbi in oceniti povezave s sociodemografskimi značilnostmi in samooceno zdravja. Metode Vzorec je vključeval 7885 odraslih, starih 18 let in več, iz »Nacionalne zdravstvene raziskave Srbije 2019«, ki so posredovali informacije o vseh štirih dejavnikih tveganja življenjskega sloga (kajenje, telesna nedejavnost, nezdrava prehrana in tvegano pitje alkohola). Dvostopenjska analiza grozdov je bila uporabljena za identifikacijo različnih grozdov življenjskega sloga, povezanih z zdravjem. Za oceno povezanosti dobljenih grozdov s sociodemografskimi značilnostmi in samooceno zdravja smo uporabili logistične regresijske modele. Rezultati Identificiranih je bilo pet različnih skupin dejavnikov tveganja za življenjski slog: zdrav življenjski slog (1. skupina), nizek vnos sadja in zelenjave (2. skupina), telesna nedejavnost (3. skupina), kajenje in drugi dejavniki tveganja (4. skupina), tvegano pitje alkohola in drugi dejavniki tveganja (5. skupina). Multirizične skupine (cluster 4, cluster 5) izkazujejo specifične sociodemografske značilnosti (moški, mlajši, živijo sami, nižje izobraženi). Odrasli v skupinah nezdravega življenjskega sloga so pogosteje poročali o slabi samooceni zdravja kot odrasli v skupini zdravega življenjskega sloga. Zaključki Posamezniki, ki so bili moški, mlajši, živijo sami, manj izobraženi in tisti s slabim zdravstvenim stanjem po lastni oceni, so bili bolj verjetno vključeni v skupine dejavnikov tveganja življenjskega sloga in predstavljajo visoko prednostne skupine prebivalstva za več intervencij za spremembo zdravstvenega vedenjaTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaNacionalni inštitut za javno zdravje