Evidence map›Paper›PMID 40112576›Full record

ArticleAddictive behaviors2025

Association of e-cigarette use, psychological distress, and substance use: Insights from the All of Us Research Program.

John Erhabor, Zhiqi Yao, Erfan Tasdighi, Omar El Shahawy, Emelia J Benjamin, Aruni Bhatnagar, Michael J Blaha

Abstract read
In one paragraph

Article in Addictive behaviors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  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

7 authors.

John ErhaborJohns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Baltimore, MD, USA; The American Heart Association Tobacco Regulation and Addiction Center, Dallas, TX, USA.
Zhiqi YaoJohns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Erfan TasdighiJohns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Omar El ShahawyThe American Heart Association Tobacco Regulation and Addiction Center, Dallas, TX, USA; Department of Population Health, New York University Grossman School of Medicine, New York, USA.
Emelia J BenjaminThe American Heart Association Tobacco Regulation and Addiction Center, Dallas, TX, USA; Boston University, Department of Medicine, Chobanian & Avedisian School of Medicine, Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA; Boston University and NHLBI's Framingham Heart Study, Framingham, MA, USA.
Aruni BhatnagarThe American Heart Association Tobacco Regulation and Addiction Center, Dallas, TX, USA; University of Louisville School of Medicine, Louisville, KY, USA.
Michael J BlahaJohns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Baltimore, MD, USA; The American Heart Association Tobacco Regulation and Addiction Center, Dallas, TX, USA. Electronic address: mblaha1@jhmi.edu.

Funding

Research Training and Education Core (Core D) P50HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2013 to 2017
$20.1M
ConProject-006U54HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2018 to 2022
$18.8M
NHLBI NIH HHS P50 HL120163NHLBI NIH HHS U54 HL120163
6 · The paper itself

Abstract

BACKGROUND/

aimUnderstanding the social context of e-cigarette use in the United States (U.S.) remains a high priority.

methodsIn this cross-sectional study, we included 68,356 adults aged ≥18 from the All of Us research program's COVID-19 Participant Experience (COPE) survey who had complete e-cigarette use information. Multivariable-adjusted logistic regression was used to examine the association between e-cigarette use (current, former, and never), psychological distress, and substance use.

resultsIn the sample, most were male (66.3 %) and white (81.9 %), with 2.9 % reporting former and 2.3 % current e-cigarette use. Individuals reporting former or current e-cigarette use had a higher prevalence of psychological distress (e.g., depressive symptoms: never 49.6 %, former 70.2 %, current 73.4 %) and substance use (e.g., cannabis: never 9.8 %, former 37.0 %, current 42.6 %) than never e-cigarette use. Compared with never use, current e-cigarette use was associated with higher odds of depressive symptoms (aOR, 1.53 95 % CI: 1.34-1.74), anxiety (aOR1.36, 1.19-1.57), suicidal ideation (aOR1.55, 1.32-1.82), stress (aOR1.41, 1.24-1.59), as well as, cannabis (aOR 2.72, 2.40-3.08), opioids (aOR1.92, 1.56-2.36), stimulants (aOR2.33, 1.91-2.83), sedatives (aOR1.68, 1.43-1.98), hallucinogens (aOR1.94, 1.28-2.90), and cocaine use (aOR1.85, 1.21-2.79). Similar significant associations were observed in former, occasional and daily e-cigarette use, with comparable estimates across sexes.

conclusionIn this unique well-powered All of US dataset, there was a significant cross-sectional association between e-cigarette use, psychological distress, and substance use, indicating that the social context of e-cigarette use is closely linked to key well-being domains. These data provide high precision estimates that can be used to inform interventions aimed at creating awareness of e-cigarette use correlates.

Indexed as

Electronic Nicotine Delivery SystemsPsychological DistressStress, PsychologicalSubstance-Related DisordersVapingAdolescentAdultCOVID-19Cross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceUnited StatesYoung Adult

Identifiers

PMID40112576
PMCPMC11968213

What OpenQuestion holds

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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.