Evidence map›Paper›PMID 36328463›Full record

ArticleTobacco control2022

Associations between living in localities with e-cigarette sales restrictions and e-cigarette use change among young adults in Los Angeles County.

Julia Chen-Sankey, Raul Cruz-Cano, Sheila Pakdaman, Nicholas Wong, Jennifer B Unger, Jessica Barrington-Trimis, Mary Ann Pentz

Open access · hybridAbstract read
In one paragraph

Article in Tobacco control, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Flavored Tobacco Sales Restrictions and Youth E-cigarette Behavior: Impact by Tobacco Retailer Density in Diverse Communities in California.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  2. Article
  3. 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

7 authors at 3 institutions in 2 countries.

Julia Chen-SankeyCenter for Tobacco Studies, Rutgers Biomedical and Health Sciences, New Brunswick, New Jersey, USA jc.sankey@rutgers.edu.ORCID 0000-0002-1797-5248
Raul Cruz-CanoSchool of Public Health, University of Maryland at College Park, College Park, Maryland, USA.
Sheila PakdamanKeck School of Medicine, University of Southern California, Los Angeles, California, USA.
Nicholas WongKeck School of Medicine, University of Southern California, Los Angeles, California, USA.
Jennifer B UngerKeck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-9064-6603
Jessica Barrington-TrimisKeck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-3331-0326
Mary Ann PentzKeck School of Medicine, University of Southern California, Los Angeles, California, USA.
University of Southern California · USRutgers, The State University of New Jersey · USUniversity of Maryland, College Park · US

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Tracie Saunders · 1997 to 2026
$94.5M
USC Tobacco Center of Regulatory ScienceU54CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jessica Louise Barrington-Trimis, Adam Matthew Leventhal · 2018 to 2026
$39.0M
Tobacco Industry Marketing CoreU54CA229973 · NCI · UNIVERSITY OF PENNSYLVANIA · PI STRASSER, ANDREW A · 2018 to 2022
$18.8M
Understanding the Influence of E-cigarette Advertisement FeaturesR00CA242589 · NCI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI CHEN-SANKEY, JULIA CEN · 2021 to 2024
$842k
NCI NIH HHS P30 CA072720NCI NIH HHS R00 CA242589NCI NIH HHS U54 CA180905NCI NIH HHS U54 CA229973
6 · The paper itself

Abstract

introductionLocal e-cigarette sales restrictions (ESRs) may impact e-cigarette use. This study examined the associations between living in localities with various ESR policies and changes in e-cigarette use among young adults in Los Angeles (LA) County, California, USA.

methodsData were from a cohort of LA County young adults (18-21 years; n=2100) who completed two waves of surveys (Fall 2018-Summer 2019 and Summer-Fall 2020). Local flavoured (n=9) and comprehensive (n=2) ESRs in LA County implemented between June 2019 and May 2020 were identified, coded and merged with the baseline data. Multivariable logistic regressions were used to examine the associations between living in ESR localities and e-cigarette use at follow-up, controlling for covariates and stratified by cigarette smoking at baseline.

resultsOverall, 20.9% and 14.3% of participants lived in localities with flavoured and comprehensive ESRs, respectively. Participants who were non-Hispanic, had higher socioeconomic statuses and were currently using e-cigarettes were generally more likely to live in ESR localities than their counterparts. The associations between living in ESR localities and e-cigarette use at follow-up were not found among baseline non-e-cigarette users regardless of their cigarette smoking status; a positive relationship was found among baseline e-cigarette users who also smoked cigarettes but not among non-smokers. DISCUSSION: Participants who lived in localities with various ESR policies were different in their baseline e-cigarette use and socioeconomic backgrounds. Future research examining the potential impact of ESRs on e-cigarette use change should consider the localities' overall sociodemographic and tobacco-using characteristics and individuals' cigarette smoking histories.

Indexed as

Cigarette SmokingElectronic Nicotine Delivery SystemsTobacco ProductsVapingFlavoring AgentsHumansLos AngelesYoung AdultFlavoring AgentsDisparitiesNon-cigarette tobacco productsPriority/special populationsPublic policy

Identifiers

PMID36328463
PMCPMC9639823
OpenAlexW4308553831

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.