Evidence map›Paper›PMID 34801012›Full record

ArticleBMC public health2021

Tobacco messages encountered in real-time among low socio-economic position groups: a descriptive study.

Elise M Stevens, Coralia Vázquez-Otero, Xiaoyan Li, Monisha Arya, Donna Vallone, Sara Minsky, Nathaniel D Osgood, Kasisomayajula Viswanath

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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 at 6 institutions in 2 countries.

Elise M StevensDepartment of Population and Quantitative Health Sciences, Division of Preventive and Behavioral Medicine, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA. Elise.Stevens@umassmed.edu.
Coralia Vázquez-OteroDepartment of Public Health, College for Health, Community and Policy, The University of Texas at San Antonio, San Antonio, TX, USA.
Xiaoyan LiDepartment of Computer Science and Computational Epidemiology & Public Health Informatics Laboratory, University of Saskatchewan, Saskatoon, SK, Canada.
Monisha AryaBaylor College of Medicine, Houston, TX, USA.
Donna ValloneTruth Initiative Schroeder Institute, Washington, USA.
Sara MinskyHarvard T.H. Chan School of Public Health & Dana-Farber Cancer Institute, Harvard University, Boston, MA, USA.
Nathaniel D OsgoodDepartment of Computer Science and Computational Epidemiology & Public Health Informatics Laboratory, University of Saskatchewan, Saskatoon, SK, Canada.
Kasisomayajula ViswanathHarvard T.H. Chan School of Public Health & Dana-Farber Cancer Institute, Harvard University, Boston, MA, USA.
Dana-Farber Cancer Institute · USUniversity of Saskatchewan · CAAmerican Legacy Foundation · USBaylor College of Medicine · USThe University of Texas at San Antonio · USUniversity of Massachusetts Chan Medical School · US

Funding

The Harvard Chan Education Program in Cancer Prevention and ControlT32CA057711 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Karen M. Emmons, ANNE LINDSAY FRAZIER · 2019 to 2026
$3.3M
Young Adults Responses to E-Cigarette Advertisement Features and the Effects of Restricting Features on Tobacco UseR00DA046563 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI STEVENS, ELISE MARIE · 2021 to 2023
$914k
Young Adults Responses to E-Cigarette Advertisement Features and the Effect of Restricting Features on Tobacco UseK99DA046563 · NIDA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI STEVENS, ELISE MARIE · 2019 to 2020
$237k
NCI NIH HHS T32 CA057711NIDA NIH HHS K99 DA046563NIDA NIH HHS R00 DA046563
6 · The paper itself

Abstract

backgroundTobacco advertising disproportionately targets low socio-economic position (SEP) groups, causing higher rates of tobacco use in this population. Anti-tobacco public health education campaigns persuade against use. This study measured real-time exposure of pro- and anti-tobacco messages from low SEP groups in two American cities.

methodsIndividuals in low SEP groups (N = 95), aged 18-34 years old, who were smokers and non-smokers, from the Boston and Houston areas, took part in a mobile health study. They submitted images of tobacco-related messages they encountered via a mobile application for a 7-week period. Two coders analyzed the images for message characteristics. Intercoder reliability was established using Krippendorff's alpha and data were analyzed descriptively.

resultsOf the submitted images (N = 131), 83 were pro-tobacco and 53 were anti-tobacco. Of the pro-tobacco messages, the majority were cigarette ads (80.7%) seen outside (36.1%) or inside (30.1%) a convenience store or gas station and used conventional themes (e.g., price promotion; 53.2%). Of the anti-tobacco messages, 56.6% were sponsored by public health campaigns or were signage prohibiting smoking in a public area (39.6%). Most focused on the health harms of smoking (28.3%).

conclusionLow SEP groups in this study encountered more pro-tobacco than anti-tobacco messages at places that were point-of-sale using price promotions to appeal to this group. Anti-tobacco messages at point-of-sale and/or advertising regulations may help combat tobacco use.

Indexed as

Tobacco ProductsAdolescentAdultHumansReproducibility of ResultsSocioeconomic FactorsTobacco UseUnited StatesYoung AdultAdvertisingHealth communicationTobacco

Identifiers

PMID34801012
PMCPMC8606061
OpenAlexW3214889754

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.