Evidence map›Paper›PMID 34976614›Full record

ArticlePreventive medicine reports2021

Effects of culturally tailored smoking prevention and cessation messages on urban American Indian youth.

Marco Yzer, Kristine Rhodes, Rebekah H Nagler, Anne Joseph

Abstract read
In one paragraph

Article in Preventive medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

4 authors.

Marco YzerHubbard School of Journalism and Mass Communication, University of Minnesota, 206 Church Street SE, 110 Murphy Hall, Minneapolis, MN 55455, USA.
Kristine RhodesAmerican Indian Cancer Foundation, 3001 Broadway Street NE #185, Minneapolis, MN 55413, USA.
Rebekah H NaglerHubbard School of Journalism and Mass Communication, University of Minnesota, 206 Church Street SE, 110 Murphy Hall, Minneapolis, MN 55455, USA.
Anne JosephDivision of General Internal Medicine, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN 55455, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

American Indians (AI) face significant disparities in smoking-related diseases. In addition, smoking prevalence increases exponentially between ages 11 and 18. Smoking prevention and cessation efforts aimed at AI youth therefore are important. In order to strengthen understanding of evidence-based message strategies for smoking prevention and cessation among AI youth. The objective of this study was to test whether a message that was tailored to AI cultural values associated with the sacredness of traditional tobacco can change variables that behavioral theories have identified as predictors of smoking (i.e., instrumental and experiential attitudes, injunctive and descriptive norms, perceived capacity and autonomy, and intention with respect to smoking). We conducted a randomized field experiment among 300 never-smoking and ever-smoking urban AI youth in Minneapolis-Saint Paul between May 18 and July 27, 2019. We used a 3 (message condition: cultural benefits of not smoking cigarettes, health benefits of not smoking cigarettes, comparison message about benefits of healthy eating) × 2 (smoking status: ever-smoked, never-smoked) between-subjects design. Multivariate analysis of variance showed that for ever-smokers, the cultural consequences of smoking message significantly lowered instrumental attitude (partial eta

Indexed as

American Indian youthCultural tailoringHealth disparitiesSmoking cessationSmoking prevention

Identifiers

PMID34976614
PMCPMC8683983

What OpenQuestion holds

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Registered trials

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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.