Evidence map›Paper›PMID 36810585›Full record

ArticleScientific reports2023

Exploring the mechanistic pathways of how social network influences social norms in adolescent smoking prevention interventions.

Felipe Montes, Martha Blanco, Andres F Useche, Sharon Sanchez-Franco, Carlos Caro, Lei Tong, Jie Li, Huiyu Zhou, Jennifer M Murray, Olga L Sarmiento and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

12 authors.

Felipe MontesDepartment of Industrial Engineering, Social and Health Complexity Center, Universidad de Los Andes, Bogotá, Colombia. fel-mont@uniandes.edu.co.ORCID 0000-0002-9923-4004
Martha BlancoDepartment of Industrial Engineering, Social and Health Complexity Center, Universidad de Los Andes, Bogotá, Colombia.ORCID 0000-0001-8358-2058
Andres F UsecheDepartment of Industrial Engineering, Social and Health Complexity Center, Universidad de Los Andes, Bogotá, Colombia.ORCID 0000-0002-1682-5045
Sharon Sanchez-FrancoDepartment of Public Health, School of Medicine, Universidad de Los Andes, Bogotá, Colombia.ORCID 0000-0001-8078-3751
Carlos CaroDepartment of Industrial Engineering, Social and Health Complexity Center, Universidad de Los Andes, Bogotá, Colombia.ORCID 0000-0002-5946-0525
Lei TongSchool of Informatics, University of Leicester, Leicester, UK.ORCID 0000-0002-8045-7742
Jie LiCollege of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.ORCID 0000-0002-7072-7817
Huiyu ZhouSchool of Informatics, University of Leicester, Leicester, UK.ORCID 0000-0003-1634-9840
Jennifer M MurrayCentre for Public Health, Institute of Clinical Sciences, Block B, Queen's University Belfast, Royal Victoria Hospital, Grosvenor Road, Belfast, BT12 6BA, 02890978955, UK.ORCID 0000-0003-0622-8631
Olga L SarmientoDepartment of Public Health, School of Medicine, Universidad de Los Andes, Bogotá, Colombia.ORCID 0000-0002-9190-3568
Frank KeeCentre for Public Health, Institute of Health Sciences, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, BT12 6BJ, UK.
Ruth F HunterCentre for Public Health, Institute of Health Sciences, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, BT12 6BJ, UK.ORCID 0000-0001-7315-0382

Funding

Medical Research Council Population and Systems Medicine Board MR/R011176/1
6 · The paper itself

Abstract

We know little about how smoking prevention interventions might leverage social network structures to enhance protective social norms. In this study we combined statistical and network science methods to explore how social networks influence social norms related to adolescent smoking in school-specific settings in Northern Ireland and Colombia. Pupils (12-15 years old) participated in two smoking prevention interventions in both countries (n = 1344). A Latent Transition Analysis identified three groups characterized by descriptive and injunctive norms towards smoking. We employed a Separable Temporal Random Graph Model to analyze homophily in social norms and conducted a descriptive analysis of the changes in the students' and their friends' social norms over time to account for social influence. The results showed that students were more likely to be friends with others who had social norms against smoking. However, students with social norms favorable towards smoking had more friends with similar views than the students with perceived norms against smoking, underlining the importance of network thresholds. Our results support the notation that the ASSIST intervention takes advantage of friendship networks to leverage greater change in the students' smoking social norms than the Dead Cool intervention, reiterating that social norms are subject to social influence.

Indexed as

Smoking PreventionSocial NormsAdolescentChildFriendsHumansPeer GroupSmokingSocial NetworkingStudents

Identifiers

PMID36810585
PMCPMC9944961

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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.