Evidence map›Paper›PMID 40703159›Full record

ArticleFrontiers in public health2025

Community dynamics influencing commercial tobacco control policy development on California American Indian lands: a qualitative analysis of baseline CAITIE data.

Jeremiah Wiebe-Anderson, Danielle R Lippert, Wael K Al-Delaimy

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. Success and challenges of tobacco control interventions among American Indians in California.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    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

3 authors.

Jeremiah Wiebe-AndersonUC San Diego School of Public Health, San Diego, CA, United States.
Danielle R LippertUC Davis Tobacco Control Evaluation Center, Davis, CA, United States.
Wael K Al-DelaimyUC San Diego School of Public Health, San Diego, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Commercial tobacco control policies are credited with substantially decreasing the rates of commercial tobacco use among the general US population over the last few decades, yet determining the attitudes, values and beliefs that make such policies more or less appropriate for American Indian communities remains of great interest in efforts to address tobacco-related health disparities. Methods: Through the qualitative analysis of 57 baseline interviews conducted by the CAITIE project in 2021 and 2022, we explain and explore community dynamics that favor or oppose new commercial tobacco control policies in California American Indian communities. Results: The community dynamics that favor new policies include themes of changing social norms and the influence of Tribal leadership. The community dynamics that oppose new policies include respect for autonomy, preference for 'small-p' policies, and concern for lost revenue. Discussion: An understanding of these community dynamics may help to inform more fruitful efforts to address commercial tobacco use both within Tribal communities and in partnerships between Natives and non-Natives.

Indexed as

CommerceIndians, North AmericanPolicy MakingResidence CharacteristicsTobacco ProductsTobacco UseCaliforniaFemaleHumansInterviews as TopicMaleQualitative ResearchTobacco ControlAmerican Indian and Alaska nativehealth disparitiespolicy development and implementationqualitative researchtobacco control

Identifiers

PMID40703159
PMCPMC12283582

What OpenQuestion holds

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LicenceCC BY
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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.