Evidence map›Paper›PMID 38729249›Full record

ArticleAmerican journal of preventive medicine2024

Employment Characteristics and Tobacco Product Use, U.S., 2021.

Christine M Kava, Girija Syamlal, Brenna VanFrank, David A Siegel, S Jane Henley, Jonathan Bryant-Genevier, Jin Qin, Susan A Sabatino

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Christine M KavaEpidemic Intelligence Service, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia; Division of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia. Electronic address: tqz1@cdc.gov.
Girija SyamlalRespiratory Health Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia.
Brenna VanFrankOffice on Smoking and Health, CDC, Atlanta, Georgia.
David A SiegelDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia.
S Jane HenleyDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia.
Jonathan Bryant-GenevierDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia.
Jin QinDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia.
Susan A SabatinoDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

introductionOver 30 million U.S. working adults use tobacco, and tobacco use varies by occupation. Limited information is available on employment characteristics and tobacco use prevalence. The purpose of this study was to describe the prevalence of current tobacco use by employment characteristics and occupation group among U.S. working adults.

methodsThis cross-sectional study used 2021 National Health Interview Survey data for currently working adults (n=16,461) analyzed in 2023. Multivariable logistic regression was used to estimate adjusted odds of tobacco use by employment characteristics and occupation group.

resultsIn 2021, 20.0% of working adults used tobacco. Any tobacco use was significantly lower among workers who were offered workplace health insurance (AOR=0.86, 95% CI=0.77-0.97), had paid sick leave (AOR=0.81, 95% CI=0.73-0.91), and government versus private employment (AOR=0.61, 95% CI=0.52-0.70). Any tobacco use was significantly higher among workers who usually worked ≥35 hours per week versus did not usually work ≥35 hours per week (AOR=1.21, 95% CI=1.06-1.39), worked a rotating or "some other" shift versus daytime shift (AOR=1.19, 95% CI=1.02-1.38), experienced schedule instability (AOR=1.17, 95% CI=1.03-1.31), and worked while physically ill in the past 3 months (AOR=1.25, 95% CI=1.11-1.41). Tobacco use by employment characteristics also varied by occupation group.

conclusionsCurrent tobacco use varied according to employment characteristics and occupation group. Findings from this study could inform workplace tobacco cessation interventions and policies (e.g., access to paid sick leave or insurance coverage) to better support tobacco cessation and overall worker health.

Indexed as

EmploymentTobacco UseAdolescentAdultCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedPrevalenceSick LeaveUnited StatesWorkplaceYoung Adult

Identifiers

PMID38729249
PMCPMC11338715

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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.