Evidence map›Paper›PMID 39230657›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2024

Modeling the Effects of Policies that Restrict Tobacco Retail Outlets on Prenatal Smoke Exposure and Perinatal Health Care Utilization.

Joseph Boyle, D Jeremy Barsell, Junfeng Jim Zhang, Jason A Oliver, F Joseph McClernon, Bassam Dahman, Cathrine Hoyo, Bernard F Fuemmeler, David C Wheeler

Abstract read
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2024. 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

9 authors.

Joseph BoyleDepartment of Family Medicine and Population Health, School of Medicine, Virginia Commonwealth University, Richmond, VA, 23298, USA.
D Jeremy BarsellDepartment of Family Medicine and Population Health, School of Medicine, Virginia Commonwealth University, Richmond, VA, 23298, USA.
Junfeng Jim ZhangEnvironmental Science and Policy Division, Duke Global Health Institute and Nicholas School of the Environment, Durham, NC, 27708, USA.
Jason A OliverDepartment of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA.
F Joseph McClernonDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, 27705, USA.
Bassam DahmanDepartment of Social Behavioral Science, School of Population Health, Virginia Commonwealth University, Richmond, VA, 23298, USA.
Cathrine HoyoDepartment of Biological Sciences, Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, 27695, USA.
Bernard F FuemmelerDepartment of Family Medicine and Population Health, School of Medicine, Virginia Commonwealth University, Richmond, VA, 23298, USA. bernard.fuemmeler@vcuhealth.org.ORCID 0000-0002-3550-0107
David C WheelerDepartment of Biostatistics, School of Population Health, Virginia Commonwealth University, Richmond, VA, 23298, USA.

Funding

Training Program in Cancer Prevention and Control and Cancer Health Equity (CPC-CHE)T32CA093423 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Bernard F Fuemmeler, Oxana G Palesh · 2018 to 2026
$3.0M
Clarifying the role of tobacco retail outlets on maternal smoking during pregnancy and child secondhand smoke exposureR01CA239595 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI FUEMMELER, BERNARD F, WHEELER, DAVID CHARLES · 2019 to 2022
$2.0M
NCI NIH HHS R01CA239595NCI NIH HHS T32 CA093423
6 · The paper itself

Abstract

Tobacco retail outlet (TRO) density has been associated with increased cotinine levels in pregnant persons and their children. As such, the higher densities of TROs may represent higher levels of active smoking during pregnancy. The purpose of this study is to simulate the reduction in cotinine (a biomarker of smoke exposure) and health care utilization that could occur in pregnant persons under enactment of several candidate TRO reduction policy recommendations. Using existing retail outlet data from the state of North Carolina and from the Newborn Epigenetic Study (NEST), the present study created hypothetical policy-informed datasets of TROs that a) limited the number of TROs to the same density as the 2014 San Francisco (SF) policy (Policy 1), b) set the minimum distance to 500 feet between TROs from a school and from other TROs (Policy 2), c) restricted the types of TROs to exclude pharmacies (Policy 3), and d) a combination of Policies 1-3 (Policy 4). We estimated the effects of each policy individually and in a separate model with their combined effects in terms of the reduction on cotinine levels and health care utilization, as measured by number of visits to the emergency department (ED). We found that the hypothetical policies were likely to be effective in reducing maternal cotinine and ED visits, with the majority of the mothers in the dataset demonstrating reductions in these outcomes after implementation of the policies. We found that Policy 1 led to moderate reductions in TRO exposure for the majority of the sample as well as stratified by race/ethnicity. Additionally, Policy 4 had slightly larger estimated effects than Policy 1, but could be more onerous to implement in practice. Overall, we identified evidence supporting the efficacy of TRO reduction strategies that could impact smoke exposure during pregnancy in our diverse sample in North Carolina.

Indexed as

CotinineCommerceFemaleHealth PolicyHumansNorth CarolinaPatient Acceptance of Health CarePerinatal CarePregnancyTobacco ProductsTobacco Smoke PollutionCotinineTobacco Smoke Pollution

Identifiers

PMID39230657
PMCPMC11390818

What OpenQuestion holds

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LicenceCC BY
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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.