Evidence map›Paper›PMID 19959694›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2009

Does film smoking promote youth smoking in middle-income countries?: A longitudinal study among Mexican adolescents.

James F Thrasher, James D Sargent, Liling Huang, Edna Arillo-Santillán, Ana Dorantes-Alonso, Rosaura Pérez-Hernández

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% of its field
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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Impact of Smoking and Vaping in Films on Smoking and Vaping Uptake in Adolescents: Systematic Review and Meta-Analysis.Health education & behavior : the official publication of the Society for Public Health Education · 2022
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  10. Adolescents' Aided Recall of Targeted and Non-Targeted Tobacco Communication Campaigns in the United States.International journal of environmental research and public health · 2018
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  11. Movie Language Orientation, Gender, Movie Smoking Exposure, and Smoking Susceptibility among Youth in Mexico.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018
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  14. Cigarette flavors, package shape, and cigarette brand perceptions: an experiment among young Brazilian women.Revista panamericana de salud publica = Pan American journal of public health · 2018
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  18. Believability of Cigar Warning Labels Among Adolescents.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2017
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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

6 authors at 3 institutions in 2 countries.

James F ThrasherDepartment of Health Promotion, Education and Behavior, Columbia, SC 29205, USA. thrasher@mailbox.sc.edu
James D Sargent
Liling Huang
Edna Arillo-Santillán
Ana Dorantes-Alonso
Rosaura Pérez-Hernández
University of South Carolina · USInstituto Nacional de Salud Pública · MXUnited States Department of Health and Human Services · US

Funding

Visual Media Influences on Adolescent Smoking Behavior (YR 9 Supplement)R01CA077026 · NCI · DARTMOUTH COLLEGE · PI SARGENT, JAMES D. · 1997 to 2017
$16.8M
UIC CANCER PREVENTION &CONTROL RESEARCH TRAINING GRANTR25CA057699 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI FITZGIBBON, MARIAN L. · 1992 to 2017
$8.2M
NCI NIH HHS CA 77026NCI NIH HHS R01 CA077026NCI NIH HHS R25 CA057699NCI NIH HHS RA25-CA57699
6 · The paper itself

Abstract

objectiveTo determine whether exposure to smoking imagery in films predicts smoking onset among never-smoking Mexican adolescents.

methodsThe analytic sample was comprised of 11- to 14-year-old secondary school students who reported never having tried smoking at baseline, 83% (1,741/2,093) of whom were successfully followed-up after 1 year. Exposure to 42 popular films that contained smoking was assessed at baseline, whereas smoking behavior and risk factors were assessed at baseline and at follow-up. Logistic regression was used to estimate bivariate and adjusted relative risks (ARR) of trying smoking and current smoking at follow-up.

resultsAt follow-up, 36% reported having tried smoking and 8% reported having smoked in the previous month. Students who were successfully followed-up were exposed to an average of 43.8 minutes of smoking in the films they reported viewing at baseline. ARRs indicated that students in the two highest levels of exposure to film smoking were more than twice as likely to have smoked in the previous 30 days at follow-up [ARR(3v1) = 2.44; 95% confidence interval (CI), 1.31-4.55; ARR(4v1) = 2.23; 95% CI, 1.19-4.17]. The ARR of having tried smoking by the time of follow-up reached statistical significance only when comparing the third highest to the lowest exposure group (ARR(3v1) = 1.54; 95% CI, 1.01-2.64). Having a parent or best friend who smoked at baseline were the only other variables that independently predicted both outcomes.

conclusionsExposure to movie smoking is a risk factor for smoking onset among Mexican youth, although this risk appears weaker than in countries with stronger tobacco marketing regulations.

Indexed as

Imitative BehaviorMotion PicturesAdolescentAdolescent BehaviorChildFemaleFollow-Up StudiesHumansIncomeLongitudinal StudiesMaleMexicoPrognosisRisk FactorsSmoking

Identifiers

PMID19959694
PMCPMC3837702
OpenAlexW2157697776

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.