Evidence map›Paper›PMID 36483578›Full record

ArticlePreventive medicine reports2023

Are excluding e-cigarettes a loophole in the smokefree public housing rule?

Craig T Dearfield, Kelvin Choi, Anthony Vivino, Kimberly Horn, Jasjit S Ahluwalia, Ian Crandell, Edward M Bernat, Debra H Bernat

Abstract read
In one paragraph

Article in Preventive medicine reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Craig T DearfieldThe George Washington University Milken Institute School of Public Health, Department of Epidemiology, Washington, DC, United States.
Kelvin ChoiDivision of Intramural Research, National Institute on Minority Health and Health Disparities, Bethesda, MD, United States.
Anthony VivinoThe George Washington University Milken Institute School of Public Health, Department of Epidemiology, Washington, DC, United States.
Kimberly HornVirginia Tech-Carilion Fralin Biomedical Research Institute, Blacksburg, VA, United States.
Jasjit S AhluwaliaDepartment of Behavioral and Social Sciences, Legorreta Cancer Center, Brown University, Providence, RI, United States.
Ian CrandellVirginia Tech-Center for Biostatistics and Health Data Sciences, Roanoke, VA, United States.
Edward M BernatUniversity of Maryland, College Park, MD, United States.
Debra H BernatThe George Washington University Milken Institute School of Public Health, Department of Epidemiology, Washington, DC, United States.

Funding

Understanding and reducing tobacco-related health disparities through social and behavioral researchZIAMD000006 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI CHOI, KELVIN · 2015 to 2025
$7.0M
Effect of the Housing and Urban Development’s Smokefree Public Housing Rule on Air Quality and Health in the District of ColumbiaR01CA226074 · NCI · GEORGE WASHINGTON UNIVERSITY · PI BERNAT, DEBRA H, HORN, KIMBERLY A · 2019 to 2021
$2.1M
NCI NIH HHS R01 CA226074
6 · The paper itself

Abstract

The U.S. Department of Housing and Urban Development (HUD) required all Public Housing Authorities to become smokefree in July 2018, following an 18-month implementation period that began February 2017. The HUD rule included all combustible tobacco products; e-cigarettes were not included. This purpose of this study is to characterize e-cigarette use overall and initiation after the implementation of the smokefree rule among tobacco users living in public housing. Data were collected from 396 adult (18+ years) current tobacco users at the time of rule implementation residing in the District of Columbia Housing Authority between July 2018 and November 2021. Measures include e-cigarette use, age of initiation, reasons for e-cigarette use, e-cigarette use susceptibility (among non-users), and sociodemographic characteristics. Descriptive and crosstab statistics were calculated to characterize e-cigarette use. Nearly-one-quarter of tobacco users reported lifetime use of e-cigarettes (24 %, n = 95) and 4.8 % (n = 19) indicated past 30-day e-cigarette use. Of the lifetime users, twenty-two (23.2 %) initiated their use after the smoke-free rule went into effect, with only two of those residents indicating they did so because of the rule. Of those who never used an e-cigarette, 23.5 % (n = 70) indicated being curious about e-cigarettes and 10.7 % (n = 40) said they may use e-cigarettes in the next year. Results indicate low use of e-cigarette products and low uptake due to the rule. Few tobacco users who never used e-cigarettes indicated intentions to use. Results suggest that omitting e-cigarettes from the HUD rule has not led to significant use of these products in this sample.

Indexed as

E-cigarettesEpidemiologyPublic housing

Identifiers

PMID36483578
PMCPMC9722475

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.