20.500.12556/DKUM-91237 Cross-sectional personal network analysis of adult smoking in rural areas Research on smoking behaviour has primarily focused on adolescents, with less attention given to middle-aged and older adults in rural settings. This study examines the influence of personal networks and sociodemographic factors on smoking behaviour in a rural Romanian community. We analysed data from 76 participants, collected through face-to-face interviews, including smoking status (non-smokers, current and former smokers), social ties and demographic details. Multilevel regression models were used to predict smoking status. The results indicate that social networks are essential in shaping smoking habits. Current smokers were more likely to have smoking family members, reinforcing smoking within familial networks, while non-smokers were typically embedded in non-smoking environments. Gender and age patterns show that women were less likely to smoke, and older adults were more likely to have quit smoking. These findings suggest that targeted interventions should focus not only on individuals but also on their social networks. In rural areas, family-based approaches may be particularly effective due to the strong influence of familial ties. Additionally, encouraging connections with non-smokers and former smokers could help disrupt smoking clusters, supporting smoking cessation efforts. network science human behaviour data science smoking social physics omrežna znanost človeško vedenje podatkovna znanost kajenje fizika družbe true false true The Royal Society Angleški jezik Slovenski jezik Znanstveno delo 2024-12-03 14:12:34 2024-12-03 14:12:34 2024-12-04 03:08:53 0000-00-00 00:00:00 2024 0 0 Str. 1-21 št. 11, št. članka 241459 Letn. 11 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2024-08-26 2024-10-08 2024-11-27 53 217504003 10.1098/rsos.241459 2054-5703 RAZ_Mihǎilǎ_Bianca-Elena_2024.pdf RAZ_Mihǎilǎ_Bianca-Elena_2024.pdf 1 B6B1A0346C9A4A1477452BA8BCC92A6A 059ec28c87abc9053a8b8847c844346a794288bde3d71e5118365f4585058d50 d58f59e2-b178-11ef-a045-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=187063 https://doi.org/10.1098/rsos.241459 0 e3711ea2-b178-11ef-a045-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=187064 Fakulteta za naravoslovje in matematiko 0 0 0