Evidence map›Paper›PMID 40212580›Full record

ArticleAJPM focus2025

Heterogeneous Association Between E-Cigarette Use and Diabetes Prevalence Among U.S. Adults.

Sulakshan Neupane, Wojciech J Florkowski, Chandra Dhakal

Abstract read
In one paragraph

Article in AJPM focus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

3 authors.

Sulakshan NeupaneDepartment of Agricultural and Applied Economics, University of Georgia, Athens, Georgia.
Wojciech J FlorkowskiDepartment of Agricultural and Applied Economics, University of Georgia, Athens, Georgia.
Chandra DhakalFormerly with the Department of Agricultural and Applied Economics, University of Georgia, Athens, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: E-cigarette use has increased among U.S. adults. Although the association between traditional cigarette smoking and the diabetes or prediabetes prevalence is well established, the relationship between e-cigarette use and these conditions remains unclear. This study examines the association between different types of cigarette use (including e-cigarettes alone, combustible cigarettes alone, and dual use) and the prevalence of prediabetes and diabetes among U.S. adults. Methods: This study analyzed 1,285,783 observations from the 2020-2022 Behavioral Risk Factor Surveillance System surveys. Self-reported prediabetes and diabetes diagnoses were outcomes of interest. Propensity score matching with one-to-one nearest-neighbor matching was used to create balanced groups of smokers and nonsmokers. Multivariable logistic regressions examined associations between self-reported smoking status and outcomes. The study also conducted subgroup analyses to assess potential variations in these associations. Analyses were performed in September-December 2023. Results: After propensity score matching and adjusting for covariates, sole e-cigarette users (AOR=1.07; 95% CI=1.03, 1.11) and dual users (AOR=1.28; 95% CI=1.23, 1.33) had higher odds of prediabetes diagnosis than never users. Sole e-cigarette use was not associated with diabetes risk, but dual users showed higher odds for diabetes diagnosis (AOR=1.09; 95% CI=1.06, 1.11) versus never users. E-cigarette use was associated with varying odds of prediabetes and diabetes across different demographic groups. Conclusions: This cross-sectional analysis found that e-cigarette use is associated with higher odds of prediabetes, with dual use potentially linked to increased odds of both prediabetes and diabetes. However, because of study limitations, including the cross-sectional design, self-reported data, and unmeasured confounders, these findings should be interpreted cautiously. Because causal relationships and temporal sequences cannot be established, large prospective studies are needed to explore the metabolic health implications of emerging tobacco product use.

Identifiers

PMID40212580
PMCPMC11982033

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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.