Evidence map›Paper›PMID 26150399›Full record

ArticleAddictive behaviors2015

Prevalence and factors associated with smoking tobacco among men recently released from prison in California: A cross-sectional study.

Benjamin A Howell, Joseph Guydish, Alex H Kral, Megan Comfort

Abstract read
In one paragraph

Article in Addictive behaviors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. A Qualitative Study of the Implementation and Continued Delivery of Complete and Partial Smoke-Free Policies Across England's Prison Estate.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
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  7. Article
  8. Article
  9. Observational
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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.

Benjamin A HowellDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Joseph GuydishPhilip R Lee Health Policy Institute, University of San Francisco, San Francisco, CA, USA.
Alex H KralBehavioral and Urban Health Program, RTI International, San Francisco, CA, USA.
Megan ComfortBehavioral and Urban Health Program, RTI International, San Francisco, CA, USA. Electronic address: mcomfort@rti.org.

Funding

HIV Risk among Male Parolees and their Female PartnersR01MH078743 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BINSON, DIANE · 2007 to 2010
$1.6M
Exploring Experiences of Disclosing HIV-Positive Status While in PrisonR01DA033847 · NIDA · RESEARCH TRIANGLE INSTITUTE · PI COMFORT, MEGAN L · 2013 to 2015
$982k
NIDA NIH HHS R01 DA033847NIDA NIH HHS R01DA033847NIMH NIH HHS R01 MH078743NIMH NIH HHS R01MH078743
6 · The paper itself

Abstract

backgroundOver 1.5 million people are incarcerated in state and federal correctional facilities in the United States. Formerly incarcerated men have significantly higher rates of mortality and morbidity than the general population, disparities that have been partially attributed to higher rates of tobacco smoking-related illnesses such as cardiovascular disease, pulmonary disease and cancer.

methodsWe compared the prevalence of smoking tobacco in a sample of 172 men who were released from California state prisons to Oakland and San Francisco between 2009 and 2011 to sub-populations of respondents to the 2009 California Health Interview Survey (CHIS). Using logistic regression, we analyzed the association between lifetime history of incarceration and self-reported smoking status.

resultsSeventy-four percent of men recently released from prison reported being current tobacco smokers. The prevalence of smoking in a demographically similar group of men in the CHIS was 24%. We found in bivariate analysis that each additional five years of history of incarceration was associated with 1.32 times greater odds of smoking (95% CI 1.02 to 1.71). Illicit substance use was associated with a 2.47 higher adjusted odds of smoking (95% CI 1.29 to 5.39). In the multivariate model adjusting for age, income, substance use and mental health, every five years of incarceration was associated with 1.23 greater odds of smoking (95% CI 0.94 to 1.63) which was not statistically significant.

conclusionsGiven the high prevalence of smoking tobacco among former prisoners and the underlying high tobacco-related mortality rates, these findings suggest that a history of incarceration may be an important determinant of smoking. Prison and parole systems may be important potential settings for smoking-cessation interventions.

Indexed as

AdultCaliforniaCross-Sectional StudiesHealth SurveysHumansMaleMiddle AgedPrevalencePrisonersRisk FactorsTobacco Use DisorderYoung AdultPrisoners/statistics & numerical dataRisk factorsSmoking/epidemiologySmoking/prevention & controlTobacco

Identifiers

PMID26150399
PMCPMC4535991

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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.