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Title:Cross-sectional personal network analysis of adult smoking in rural areas
Authors:ID Mihǎilǎ, Bianca-Elena (Author)
ID Hâncean, Marian-Gabriel (Author)
ID Perc, Matjaž (Author)
ID Lerner, Jürgen (Author)
ID Oană, Iulian (Author)
ID Geanta, Marius (Author)
ID Molina González, José Luis (Author)
ID Cioroboiu, Cosmina (Author)
Files:.pdf RAZ_Mihǎilǎ_Bianca-Elena_2024.pdf (1,07 MB)
MD5: B6B1A0346C9A4A1477452BA8BCC92A6A
 
URL https://doi.org/10.1098/rsos.241459
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract: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.
Keywords:network science, human behaviour, data science, smoking, social physics
Publication status:Published
Publication version:Version of Record
Submitted for review:26.08.2024
Article acceptance date:08.10.2024
Publication date:27.11.2024
Publisher:The Royal Society
Year of publishing:2024
Number of pages:Str. 1-21
Numbering:Letn. 11, št. 11, št. članka 241459
PID:20.500.12556/DKUM-91237 New window
UDC:53
ISSN on article:2054-5703
COBISS.SI-ID:217504003 New window
DOI:10.1098/rsos.241459 New window
Publication date in DKUM:03.12.2024
Views:149
Downloads:10
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Royal Society open science
Publisher:The Royal Society
ISSN:2054-5703
COBISS.SI-ID:3219791 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0403-2019
Name:Računsko intenzivni kompleksni sistemi

Funder:EC - European Commission
Project number:101104432
Name:Personalized CANcer Primary Prevention research through Citizen Participation and digitally enabled social innovation
Acronym:4P-CAN

Funder:Other - Other funder or multiple funders
Funding programme:Deutsche Forschungsgemeinschaft
Project number:321869138
Name:Statistische Analyse von Multi-Akteurs-Ereignissen in sozialen Netzwerken

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:27.11.2024

Secondary language

Language:Slovenian
Keywords:omrežna znanost, človeško vedenje, podatkovna znanost, kajenje, fizika družbe


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