Evidence map›Paper›PMID 42340981›Full record

ArticleJAMA network open2026

Comprehensive Smoke-Free Laws and Cardiovascular Disease Mortality in US Counties.

Chuyue Wu, Mina Habib, Nathan D Wong, Tony Kuo, Roch A Nianogo

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Chuyue WuDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles.
Mina HabibDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles.
Nathan D WongDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles.
Tony KuoDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles.
Roch A NianogoDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles.

Funding

The SMART-CV Study: Systems Modeling Approaches to Reducing Disparities in Cardiovascular DiseasesK01MD014163 · NIMHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NIANOGO, ROCH · 2020 to 2024
$671k
NIMHD NIH HHS K01 MD014163
6 · The paper itself

Abstract

Importance: Active smoking and secondhand smoke (SHS) exposure are major cardiovascular risk factors, and comprehensive smoke-free laws are a central tobacco control strategy. Although prior studies have demonstrated short-term reductions in cardiovascular morbidity following smoke-free policies, evidence regarding their long-term association with cardiovascular disease (CVD) mortality and potential differences across demographic groups remains limited. Objective: To evaluate the long-term association between comprehensive smoke-free laws and county-level CVD mortality and assess whether these associations vary by age, sex, and race and ethnicity. Design, Setting, and Participants: Comparative effectiveness research study using longitudinal county-level panel data and the generalized synthetic control method to evaluate staggered policy adoption across 38 treated counties that adopted comprehensive 100% smoke-free laws covering workplaces, restaurants, and bars between 2007 and 2018, and 103 control counties that did not implement smoke-free laws at any level during the study period from 2000 to 2018. Data were analyzed from May to August 2025. Exposure: Implementation of comprehensive smoke-free laws. Main Outcome and Measures: Annual county-level age-adjusted CVD mortality rates per 100 000 population overall and stratified by age, sex, and race and ethnicity. Average treatment effects on the treated (ATTs) were estimated with 95% CIs using parametric bootstrapping. Results: This study included 38 treated and 103 control counties. Prepolicy mean (SD) of county-level median age was 37.5 (3.5) for treated counties vs 39.1 (5.6) years for control counties. In treated counties vs control counties, 49.3% vs 49.5% of residents were male, and 15.3% vs 20.3% were not non-Hispanic White, respectively. Implementation of comprehensive smoke-free laws was associated with a mean annual reduction of 12.0 (95% CI, -21.3 to -2.7) CVD deaths per 100 000 population over 12 postpolicy years. Larger reductions were observed among adults aged 65 years or older, male individuals, and non-Hispanic White populations, whereas the associations among younger adults, female individuals, and non-Hispanic Black populations were smaller and less precise. Conclusions and Relevance: In this comparative effectiveness research study of county-level smoke-free laws, comprehensive smoke-free laws were associated with sustained reductions in CVD mortality. However, the magnitude of the associations varied across demographic groups, suggesting that additional strategies addressing disparities in tobacco exposure may be needed to achieve improvement in cardiovascular outcomes across all subpopulations.

Indexed as

Cardiovascular DiseasesSmoke-Free PolicyTobacco Smoke PollutionAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedUnited StatesTobacco Smoke Pollution

Identifiers

PMID42340981
PMCPMC13294779

What OpenQuestion holds

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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.