Evidence map›Paper›PMID 31707269›Full record

ArticleDrug and alcohol dependence2019

E-cigarette use is associated with a self-reported diagnosis of prediabetes in never cigarette smokers: Results from the behavioral risk factor surveillance system survey.

Nkiruka C Atuegwu, Mario F Perez, Cheryl Oncken, Erin L Mead, Narinder Maheshwari, Eric M Mortensen

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 4 pooled it
1.0field-weighted citation impact, top 22% 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

18 citing papers in PubMed, 4 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  3. The prevalence of electronic cigarettes vaping globally: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2022
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  11. A Lifestyle Communication Tool: Association of E-cigarette Use and Pre-diabetes.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2023
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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

6 authors at 1 institution in 1 country.

Nkiruka C AtuegwuDepartment of Medicine, University of Connecticut, Farmington, CT 06030, USA. Electronic address: atuegwu@uchc.edu.
Mario F PerezDepartment of Medicine, University of Connecticut, Farmington, CT 06030, USA. Electronic address: maperez@uchc.edu.
Cheryl OnckenDepartment of Medicine, University of Connecticut, Farmington, CT 06030, USA. Electronic address: oncken@uchc.edu.
Erin L MeadDepartment of Medicine, University of Connecticut, Farmington, CT 06030, USA. Electronic address: mead@uchc.edu.
Narinder MaheshwariDepartment of Medicine, University of Connecticut, Farmington, CT 06030, USA. Electronic address: nmaheshwari@uchc.edu.
Eric M MortensenDepartment of Medicine, University of Connecticut, Farmington, CT 06030, USA. Electronic address: mortensen@uchc.edu.
University of Connecticut · US

Funding

Electronic Cigarette Use During PregnancyR01CA207491 · NCI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI MEAD-MORSE, ERIN LUCIA · 2017 to 2022
$3.5M
Nicotine Replacement for Smoking Cessation During PregnancyR01HD069314 · NICHD · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI ONCKEN, CHERYL A · 2011 to 2016
$3.2M
Nicotine Replacement Treatment for Pregnant SmokersR01DA015167 · NIDA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI ONCKEN, CHERYL ANN · 2002 to 2006
$1.7M
Impact of Cigar Flavor on Tobacco Use Behaviors and Addiction in Dual UsersK01DA048494 · NIDA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI MEAD-MORSE, ERIN LUCIA · 2019 to 2024
$1.1M
NCI NIH HHS R01 CA207491NICHD NIH HHS R01 HD069314NIDA NIH HHS K01 DA048494NIDA NIH HHS R01 DA015167
6 · The paper itself

Abstract

backgroundThe use of e-cigarettes is increasing in the US but there is still a paucity of research on the metabolic effects of e-cigarette use. The goal of this work was to determine the association between e-cigarette use and self-reported prediabetes in adult never cigarette smokers.

methodThe 2017 cross sectional Behavioral Risk Factor Surveillance System (BRFSS) survey data was used for the analysis. Current e-cigarette users reported daily or someday use of e-cigarettes and former e-cigarette users reported no current use of e-cigarettes. Participants who reported a history of diabetes, gestational prediabetes/ diabetes were excluded. Odds ratios were calculated to determine the association between e-cigarette use and self-reported prediabetes in never cigarette smokers after adjusting for potential confounders.

resultsThere were a total of 154,404 participants that met the inclusion criteria. Of those participants, there were 143,952 never, 1339 current and 7625 former e-cigarette users. Current e-cigarette users had an increased odds of reporting a diagnosis of prediabetes 1.97 (95% CI 1.25-3.10) compared to never e-cigarette users. After stratifying by gender, men and women had an increased odds ratio of reporting a diagnosis of prediabetes 2.36 (95% CI 1.26-4.40) and 1.88 (95% CI 1.00-3.53) respectively when compared to never e-cigarette users. There was no association between former e-cigarette use and a self-reported diagnosis of prediabetes.

conclusionOur findings show that e-cigarette use may be associated with self-reported prediabetes. Further evaluation is needed in prospective studies.

Indexed as

Behavioral Risk Factor Surveillance SystemSelf ReportAdolescentAdultCross-Sectional StudiesElectronic Nicotine Delivery SystemsFemaleHumansMaleMiddle AgedPrediabetic StateProspective StudiesSmokersSurveys and QuestionnairesVapingYoung AdultE-cigaretteElectronic nicotine delivery systemsPrediabetes

Identifiers

PMID31707269
PMCPMC6893144
OpenAlexW2982552556

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.