Evidence map›Paper›PMID 39498207›Full record

ArticlePreventive medicine reports2024

Who uses cigarette price promotions in the U.S.? examining the combined effect of social identities.

Kelvin Choi, William Wheeler, Dennis W Buckman

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

3 authors.

Kelvin ChoiDivision of Intramural Research, National Institute on Minority Health and Health Disparities, 9000 Rockville Pike, Building 3 Room 5W05, Bethesda, MD 20892, USA.
William WheelerInformation Management Services, Inc., 1455 Research Blvd, Suite 315, Rockville, MD 20850, USA.
Dennis W BuckmanInformation Management Services, Inc., 1455 Research Blvd, Suite 315, Rockville, MD 20850, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Tobacco industry offers price promotions to promote cigarette smoking. Several social identities (e.g., women, people with low socioeconomic status) are independently associated with exposure and use of these promotions. We examined how combinations of social identities relate to use of cigarette price promotions. Methods: We analyzed data from adults who reported current cigarette smoking and purchased their own cigarettes in the 1995-2019 U.S. Tobacco Use Supplement to the Current Population Survey (n = 35,749). We applied a statistical-learning boosting algorithm followed by weighted logistic regression models with 3-way interactions to identify combinations of social identities related to cigarette price promotion use. Results: This analysis revealed that use of cigarette price promotions varied greatly by combinations of social identities. For example, estimated 39.80% of Asian female adults living in the Midwest used these promotions in their last purchase. Meanwhile, estimated 2.80% of Asian male 31-45-year-old adults reported the same behavior. Additionally, American Indian/Alaskan Native peoples were indicated in four of the ten combinations of social identities with highest prevalence of cigarette price promotion use. Discussion: Our approach allowed for discovery of previously less appreciated social identities (e.g., race/ethnicity) related to high probability of using cigarette price promotions. These findings also revealed how combination of social-identity-related power dynamics may shape use of cigarette price promotions. Adopting this perspective in future surveillance and policy evaluation effort will provide better understanding in commercial tobacco use disparities.

Indexed as

AdultsCigarette smokingDisparitiesIntersectionalitySurveillanceTobacco marketing

Identifiers

PMID39498207
PMCPMC11533693

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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.