Evidence map›Paper›PMID 10800425›Full record

ArticleAmerican journal of public health2000

The impact of workplace smoking ordinances in California on smoking cessation.

J M Moskowitz, Z Lin, E S Hudes

Abstract read
In one paragraph

Article in American journal of public health, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
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  14. Smoke-Free Policies and Smoking Cessation in the United States, 2003-2015.International journal of environmental research and public health · 2019
    Article
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  16. Smoke-Free Laws and Hazardous Drinking: A Cross-Sectional Study among U.S. Adults.International journal of environmental research and public health · 2017
    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

3 authors.

J M MoskowitzCenter for Family and Community Health, School of Public Health, University of California, Berkeley 94720-7360, USA. jmm@uclink4.berkeley.edu
Z Lin
E S Hudes

Funding

PHS HHS U48/909706
6 · The paper itself

Abstract

objectivesThe effect of local workplace smoking laws in California was assessed to determine whether such laws increase smoking cessation.

methodsWorkplace smoking ordinance data from 1990 were appended to 1990 California Tobacco Survey data from 4680 adult indoor workers who were current cigarette smokers or reported smoking in the 6 months before the survey. Ordinance effects on cigarette smoking and worksite policy were estimated by using multiple logistic regression controlling for sociodemographic variables.

resultsSmokers who worked in localities with a strong workplace ordinance (compared with no workplace ordinance) were more likely to report the existence of a worksite smoking policy (odds ratio [OR] = 1.6; 95% confidence interval [CI] = 1.2, 2.2) and to report quitting smoking in the prior 6 months (OR = 1.5; 95% CI = 1.1, 1.7). In communities with strong ordinances, an estimated 26.4% of smokers quit smoking within 6 months of the survey and were abstinent at the time of the survey, compared with an estimated 19.1% in communities with no ordinance.

conclusionsWorkplace smoking ordinances increased smoking cessation among employed smokers, indicating that these laws may benefit smokers as well as nonsmokers.

Indexed as

Smoking PreventionAdolescentAdultCaliforniaFemaleHealth SurveysHumansLogistic ModelsMaleMiddle AgedOccupational ExposureOccupational HealthOrganizational PolicyProgram EvaluationSmokingSmoking Cessation

Identifiers

PMID10800425
PMCPMC1446239

What OpenQuestion holds

Textmetadata
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.