Evidence map›Paper›PMID 31952942›Full record

ArticleAmerican journal of preventive medicine2020

Inequity in California's Smokefree Workplace Laws: A Legal Epidemiologic Analysis of Loophole Closures.

Judith J Prochaska, Maya Hazarika Watts, Leslie Zellers, Darlene Huang, Eric Jay Daza, Joseph Rigdon, Melissa J Peters, Lisa Henriksen

Open access · bronzeAbstract read
In one paragraph

Article in American journal of preventive medicine, 2020. 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
0.4field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. State Preemption and Local Tobacco Control: Constraints and Opportunities for Innovation in the US.International journal of environmental research and public health · 2025
    Article
  2. Smokers Are More Likely to Smoke More after the COVID-19 California Lockdown Order.International journal of environmental research and public health · 2021
    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 at 3 institutions in 1 country.

Judith J ProchaskaStanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California. Electronic address: jpro@stanford.edu.
Maya Hazarika WattsChangeLab Solutions, Oakland, California.
Leslie ZellersChangeLab Solutions, Oakland, California.
Darlene HuangChangeLab Solutions, Oakland, California.
Eric Jay DazaStanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California.
Joseph RigdonQuantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, California.
Melissa J PetersChangeLab Solutions, Oakland, California.
Lisa HenriksenStanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California.
ChangeLab Solutions · USStanford University · USStanford Health Care · US

Funding

CARDIOVASCULAR DISEASE PREVENTION TRAINING PROGRAMT32HL007034 · NHLBI · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 1985 to 2020
$8.7M
NHLBI NIH HHS T32 HL007034
6 · The paper itself

Abstract

introductionCalifornia's landmark 1994 Smokefree Workplace Act contained numerous exemptions, or loopholes, believed to contribute to inequities in smokefree air protections among low-income communities and communities of color (e.g., permitting smoking in warehouses, hotel common areas). Cities/counties were not prevented from adopting stronger laws. This study coded municipal laws and state law changes (in 2015-2016) for loophole closures and determined their effects in reducing inequities in smokefree workplace protections.

methodsPublic health attorneys reviewed current laws for 536 of California's 539 cities and counties from January 2017 to May 2018 and coded for 19 loophole closures identified from legislative actions (inter-rater reliability, 87%). The local policy data were linked with population demographics from intercensal estimates (2012-2016) and adult smoking prevalence (2014). The analyses were cross-sectional and conducted in February-June 2019.

resultsBetween 1994 and 2018, jurisdictions closed 6.09 loopholes on average (SD=5.28). Urban jurisdictions closed more loopholes than rural jurisdictions (mean=6.40 vs 3.94, p<0.001), and loophole closure scores correlated positively with population size, median household income, and percentage white, non-Hispanic residents (p<0.001 for all). Population demographics and the loophole closure score explained 43% of the variance in jurisdictions' adult smoking prevalence. State law changes in 2015-2016 increased loophole closure scores and decreased jurisdiction variation (mean=9.74, SD=3.56); closed more loopholes in rural versus urban jurisdictions (mean

conclusionsAlthough jurisdictions made important progress in closing loopholes in smokefree air law, state law changes achieved greater reductions in inequities in policy coverage.

Indexed as

CaliforniaCross-Sectional StudiesHumansLinear ModelsPublic HealthSmoke-Free PolicySmokingTobacco Smoke PollutionWorkplaceTobacco Smoke Pollution

Identifiers

PMID31952942
PMCPMC7039767
OpenAlexW3000434749

What OpenQuestion holds

Textmetadata
LicenceTDM
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.