Evidence map›Paper›PMID 39606588›Full record

ArticleRoyal Society open science2024

Cross-sectional personal network analysis of adult smoking in rural areas.

Bianca-Elena Mihăilă, Marian-Gabriel Hâncean, Matjaž Perc, Jürgen Lerner, Iulian Oană, Marius Geantă, José Luis Molina, Cosmina Cioroboiu

Abstract read
In one paragraph

Article in Royal Society open science, 2024. 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

8 authors.

Bianca-Elena MihăilăDepartment of Sociology, University of Bucharest, Panduri 90-92, Bucharest 050663, Romania.ORCID https://orcid.org/0000-0003-4930-450X
Marian-Gabriel HânceanDepartment of Sociology, University of Bucharest, Panduri 90-92, Bucharest 050663, Romania.ORCID https://orcid.org/0000-0001-9358-5287
Matjaž PercFaculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, Maribor 2000, Slovenia.ORCID https://orcid.org/0000-0002-3087-541X
Jürgen LernerDepartment of Computer and Information Science, University of Konstanz, Konstanz 78457, Germany.ORCID https://orcid.org/0000-0001-6565-1873
Iulian OanăDepartment of Sociology, University of Bucharest, Panduri 90-92, Bucharest 050663, Romania.ORCID https://orcid.org/0000-0002-6052-6595
Marius GeantăCenter for Innovation in Medicine, Theodor Pallady Boulevard 42J, Bucharest 032266, Romania.ORCID https://orcid.org/0000-0003-1510-8885
José Luis MolinaGRAFO, Department of Social and Cultural Anthropology, Universitat Autònoma de Barcelona, Bellaterra, Barcelona 08193, Spain.ORCID https://orcid.org/0000-0002-2932-2690
Cosmina CioroboiuCenter for Innovation in Medicine, Theodor Pallady Boulevard 42J, Bucharest 032266, Romania.ORCID https://orcid.org/0000-0002-7959-4926

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

data sciencehuman behaviournetwork sciencesmoking

Identifiers

PMID39606588
PMCPMC11599556

What OpenQuestion holds

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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.