Evidence map›Paper›PMID 42485420›Full record

Trial reportPloS one2026

Associations of egocentric social network characteristics with conversations about the harms of smoking and the benefits of quitting.

Lizeth Cruz-Jiménez, James F Thrasher, Victoria C Lambert, Diego F Leal, Rachel E Davis, Chih-Hsiang Yang

Registry-linked trialAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04075682 (Evaluation of Cigarette Package Inserts for Enhanced Communication With Smokers), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

NCT04075682 nacompletednot on this map

Evaluation of Cigarette Package Inserts for Enhanced Communication With Smokers

TypeinterventionalSponsorUniversity of South CarolinaRan2019 to 2021Enrolled387ConditionsSmoking CessationArmsInserts with efficacy messages, Pictorial warnings on packs
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Lizeth Cruz-JiménezDepartment of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America.ORCID https://orcid.org/0000-0002-3261-2250
James F ThrasherDepartment of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America.ORCID https://orcid.org/0000-0001-6418-4863
Victoria C LambertDepartment of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America.
Diego F LealSchool of Sociology, University of Arizona, Tucson, Arizona, United States of America.
Rachel E DavisDepartment of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America.
Chih-Hsiang YangDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America.

Funding

Evaluation of cigarette package inserts for enhanced communication with smokersR01CA215466 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI THRASHER, JAMES · 2019 to 2024
$2.9M
NCI NIH HHS R01 CA215466
6 · The paper itself

Abstract

backgroundAlthough conversations initiated by smoking-cessation messages are associated with subsequent quit attempts, limited research has examined how the social network characteristics of people who smoke relate to engagement in these conversations. The current study aimed to assess associations between key social network attributes and conversations about the harms of smoking and the benefits of quitting in the context of exposure to novel cessation messages.

methodsData were collected from a convenience sample of U.S. adults who smoke (n = 366) and who received a 14-day supply of cigarettes in packs that four different labeling types (i.e., novel text-based messages about smoking harms on the side of packs; pictorial health warnings with the same text, but with imagery and printed on 50% of front and back of packs; efficacy-message inserts with text and imagery about smoking cessation benefits and quitting strategies, placed inside the packs; and/or efficacy message inserts with pictorial health warning labels). At baseline, participants reported their egocentric network characteristics, and each night for 14 consecutive days, they completed a survey about their conversations with network members in the prior 24 hours. Bivariate and adjusted mixed-effects logistic regression models, controlling for experimental message study condition and other covariates, assessed relationships between network attributes and conversations. We estimated separate models predicting the likelihood of conversations (1) about the harms of smoking and (2) about the benefits of quitting on any given day.

resultsIn adjusted models, network members' (i.e., alters') disapproval of smoking and the prevalence of alters that smoke were positively associated with conversations about both smoking harms and quitting benefits. Network size was negatively associated with, and average closeness to alters was positively associated with, conversations about quitting benefits.

conclusionSocial network characteristics can influence conversations about smoking harms and cessation benefits. Leveraging these features in cessation interventions could more effectively reduce smoking. Trial Registration: ClinicalTrials.gov NCT04075682.

Indexed as

CommunicationSmokingSmoking CessationSocial NetworkingAdultFemaleHumansMaleMedia ExposureMiddle AgedYoung Adult

Identifiers

PMID42485420
PMCPMC13390823

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Registered trials

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.