Evidence map›Paper›PMID 27065044›Full record

Observational studyJAMA internal medicine2016

Likelihood of Unemployed Smokers vs Nonsmokers Attaining Reemployment in a One-Year Observational Study.

Judith J Prochaska, Anne K Michalek, Catherine Brown-Johnson, Eric J Daza, Michael Baiocchi, Nicole Anzai, Amy Rogers, Mia Grigg, Amy Chieng

Open access · bronzeAbstract readComparative StudyObservational Study
In one paragraph

Observational study in JAMA internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
8.3field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 36 citations in OpenAlex.

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  9. Prevalence and determinants of tobacco use amongst South African adults with mental illness in the Eastern Cape.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Judith J ProchaskaStanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California.
Anne K MichalekStanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California.
Catherine Brown-JohnsonStanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California.
Eric J DazaStanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California.
Michael BaiocchiStanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California.
Nicole AnzaiStanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California.
Amy RogersSan Francisco Department of Veteran Affairs, San Francisco, California.
Mia GriggBuckelew Programs Residential Support Services, San Rafael, California.
Amy ChiengStanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California.
Stanford University · USBuckelew Programs · USSan Francisco VA Medical Center · US

Funding

CARDIOVASCULAR DISEASE PREVENTION TRAINING PROGRAMT32HL007034 · NHLBI · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 1985 to 2020
$8.7M
The development of statistical tools for comparative effectiveness researchR00HS022192 · AHRQ · STANFORD UNIVERSITY · PI BAIOCCHI, MIKE · 2014 to 2016
$747k
The development of statistical tools for comparative effectiveness researchK99HS022192 · AHRQ · STANFORD UNIVERSITY · PI BAIOCCHI, MIKE · 2013 to 2013
$106k
AHRQ HHS K99 HS022192AHRQ HHS R00 HS022192NHLBI NIH HHS T32 HL007034
6 · The paper itself

Abstract

importanceStudies in the United States and Europe have found higher smoking prevalence among unemployed job seekers relative to employed workers. While consistent, the extant epidemiologic investigations of smoking and work status have been cross-sectional, leaving it underdetermined whether tobacco use is a cause or effect of unemployment.

objectiveTo examine differences in reemployment by smoking status in a 12-month period. DESIGN, SETTING, AND

participantsAn observational 2-group study was conducted from September 10, 2013, to August 15, 2015, in employment service settings in the San Francisco Bay Area (California). Participants were 131 daily smokers and 120 nonsmokers, all of whom were unemployed job seekers. Owing to the study's observational design, a propensity score analysis was conducted using inverse probability weighting with trimmed observations. Including covariates of time out of work, age, education, race/ethnicity, and perceived health status as predictors of smoking status. MAIN OUTCOMES AND MEASURES: Reemployment at 12-month follow-up.

resultsOf the 251 study participants, 165 (65.7) were men, with a mean (SD) age of 48 (11) years; 96 participants were white (38.2%), 90 were black (35.9%), 24 were Hispanic (9.6%), 18 were Asian (7.2%), and 23 were multiracial or other race (9.2%); 78 had a college degree (31.1%), 99 were unstably housed (39.4%), 70 lacked reliable transportation (27.9%), 52 had a criminal history (20.7%), and 72 had received prior treatment for alcohol or drug use (28.7%). Smokers consumed a mean (SD) of 13.5 (8.2) cigarettes per day at baseline. At 12-month follow-up (217 participants retained [86.5%]), 60 of 108 nonsmokers (55.6%) were reemployed compared with 29 of 109 smokers (26.6%) (unadjusted risk difference, 0.29; 95% CI, 0.15-0.42). With 6% of analysis sample observations trimmed, the estimated risk difference indicated that nonsmokers were 30% (95% CI, 12%-48%) more likely on average to be reemployed at 1 year relative to smokers. Results of a sensitivity analysis with additional covariates of sex, stable housing, reliable transportation, criminal history, and prior treatment for alcohol or drug use (25.3% of observations trimmed) reduced the difference in employment attributed to smoking status to 24% (95% CI, 7%-39%), which was still a significant difference. Among those reemployed at 1 year, the average hourly wage for smokers was significantly lower (mean [SD], $15.10 [$4.68]) than for nonsmokers (mean [SD], $20.27 [$10.54]; F(1,86) = 6.50, P = .01). CONCLUSIONS AND RELEVANCE: To our knowledge, this is the first study to prospectively track reemployment success by smoking status. Smokers had a lower likelihood of reemployment at 1 year and were paid significantly less than nonsmokers when reemployed. Treatment of tobacco use in unemployment service settings is worth testing for increasing reemployment success and financial well-being.

Indexed as

Job ApplicationAdultBlack or African AmericanBody Mass IndexCross-Sectional StudiesEmploymentFemaleHispanic or LatinoHumansMaleMiddle AgedMotivationRisk FactorsSalaries and Fringe BenefitsSan FranciscoSmoking

Identifiers

PMID27065044
PMCPMC5111825
OpenAlexW2324543451

What OpenQuestion holds

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Read underepoch 390

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.