Evidence map›Paper›PMID 31447595›Full record

ArticleTobacco use insights2019

Differences in Tobacco Use Among a Sample of At-Risk Chinese, Filipino, and Vietnamese Adult Men Living in the SF Bay Area.

Daniel E Toleran, Robynn S Battle, Phillip Gardiner

Open access · goldAbstract read
In one paragraph

Article in Tobacco use insights, 2019. 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
–field-weighted citation impact, top 88% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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 at 2 institutions in 1 country.

Daniel E ToleranAsian American Recovery Services, Inc., South San Francisco, CA, USA.
Robynn S BattlePrevention Research Center, Oakland, CA, USA.
Phillip GardinerSocial and Behavioral Sciences/Neurosciences and Nicotine Dependence, Tobacco Related Disease Research Program, University of California, Oakland, CA, USA.
Asian American Recovery Services · USPrevention Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking among Asian men has been studied, but differences in tobacco and cigarette use among US- and non-US-born Asian subgroups, especially those at risk for substance use or sexually transmitted diseases, has not been well-studied.

aimsTo learn about the smoking of cigarettes or blunts among Asian ethnic groups, and whether place of birth, age, or primary language spoken at home is associated with smoking.

methodsStudy participants were 125 adult (age > 18 years) Chinese, Filipino, or Vietnamese men living in San Francisco, Daly City, or San Jose, California, who self-reported substance use in the past 30 days. Information collected included sexual orientation, past year contact with the criminal justice system, place of birth, and primary language spoken at home. Bivariate analyses were used to compare the differences in self-reported smoking of cigarettes or tobacco-marijuana blunts by ethnicity, age, place of birth, and primary language spoken at home.

resultsFilipinos had significantly higher rate of cigarette use (51%;

conclusionsThis study found differences in self-reported rates of cigarette and blunt use among Asian ethnic groups which suggest opportunities for targeted interventions. Future studies of tobacco or blunts use for these largely immigrant groups should take into account country of birth and language spoken at home in developing tobacco prevention services for this population.

Indexed as

ChineseFilipinoother tobaccotobaccoVietnamese

Identifiers

PMID31447595
PMCPMC6691663
OpenAlexW2967371985

What OpenQuestion holds

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LicenceCC BY
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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.