Evidence map›Paper›PMID 29912655›Full record

ArticleJournal of health communication2018

Does Segmentation Really Work? Effectiveness of Matched Graphic Health Warnings on Cigarette Packaging by Race, Gender and Chronic Disease Conditions on Cognitive Outcomes among Vulnerable Populations.

Hana Hayashi, Andy Tan, Ichiro Kawachi, Sara Minsky, Kasisomayajula Viswanath

Abstract read
In one paragraph

Article in Journal of health communication, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 3 institutions in 1 country.

Hana Hayashia McCann Global Health , McCann Erickson , New York , USA.ORCID 0000-0002-3336-8763
Andy Tanb Department of Social and Behavioral Sciences , Harvard School of Public Health , Boston , Massachusetts , USA.ORCID 0000-0001-6459-6171
Ichiro Kawachib Department of Social and Behavioral Sciences , Harvard School of Public Health , Boston , Massachusetts , USA.ORCID 0000-0001-9339-2821
Sara Minskye Population Sciences Division, Center for Community Based Research , Dana-Farber Cancer Institute , Boston , MA , USA.ORCID 0000-0002-7811-5356
Kasisomayajula Viswanathb Department of Social and Behavioral Sciences , Harvard School of Public Health , Boston , Massachusetts , USA.ORCID 0000-0002-4795-5803
Harvard University · USDana-Farber Cancer Institute · USInterpublic Group (United States) · US

Funding

TRAINING AND CAREER DEVELOPMENTP50CA148596 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI MYERSON, MATTHEW · 2010 to 2014
$10.7M
NCI NIH HHS P50 CA148596
6 · The paper itself

Abstract

We examined the differential impact of exposure to smoking-related graphic health warnings (GHWs) on risk perceptions and intentions to quit among different audience segments characterized by gender, race/ethnic group, and presence of chronic disease condition. Specifically, we sought to test whether GHWs that portray specific groups (in terms of gender, race, and chronic disease conditions) are associated with differences in risk perception and intention to quit among smokers who match the portrayed group. We used data from Project CLEAR, which oversampled lower SES groups as well as race/ethnic minority groups living in the Greater Boston area (n = 565). We fitted multiple linear regression models to examine the impact of exposure to different GHWs on risk perceptions and quit intentions. After controlling for age, gender, education and household income, we found that women who viewed GHWs portraying females reported increased risk perception as compared to women who viewed GHWs portraying men. However, no other interactions were found between the groups depicted in GHWs and audience characteristics. The findings suggest that audience segmentation of GHWs may have limited impact on risk perceptions and intention to quit smoking among adult smokers.

Indexed as

IntentionProduct LabelingAdolescentAdultAgedBostonDemographyEthnicityFemaleFocus GroupsHumansInterviews as TopicMaleMiddle AgedSex FactorsSmoking

Identifiers

PMID29912655
PMCPMC6351315
OpenAlexW2809609041

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.