Evidence map›Paper›PMID 41929326›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Reductions to health-related quality of life associated with cigarette use, e-cigarette use, and depression among US adults.

Chia-Ling Cheng, Sarah Skolnick, Jamie Tam

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. 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

3 authors.

Chia-Ling ChengDepartment of Health Policy and Management, Yale School of Public Health, New Haven, CT, United States.ORCID 0009-0009-0228-5461
Sarah SkolnickInstitute For Nicotine and Tobacco Studies, Rutgers University, New Brunswick, NJ, United States.ORCID 0000-0001-5974-4344
Jamie TamInstitute For Nicotine and Tobacco Studies, Rutgers University, New Brunswick, NJ, United States.ORCID 0000-0001-8353-4259

Funding

Research Project 3: Modeling the Impact of Tobacco Control Policies on Polytobacco Use and Associated Health DisparitiesU54CA229974 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David Mendez Emilien · 2018 to 2026
$39.2M
Comparative Modeling of Lung Cancer Prevention, Early Detection and Treatment InterventionsU01CA253858 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE KONING, HARRY J, HOLFORD, THEODORE R · 2020 to 2025
$8.4M
Health and economic impact analysis of a reduced nicotine cigarette policy on vulnerable populationsK01DA056424 · NIDA · YALE UNIVERSITY · PI Jamie Pearl Tam · 2022 to 2026
$829k
NCI NIH HHS U01 CA253858NCI NIH HHS U54 CA229974NIDA NIH HHS K01 DA056424
6 · The paper itself

Abstract

Introduction: Prior studies suggest e-cigarette use is associated with worse health outcomes, but it remains unclear whether these associations persist independent of cigarette smoking and diagnosed depression and how they jointly affect health-related quality of life (HRQoL). This study provides the first health utility estimates of the independent and combined effects of cigarette use, e-cigarette use, and depression. Methods: We analyzed 2022-2023 Behavioral Risk Factor Surveillance System data, evaluating self-reported physically or mentally unhealthy days. Average unhealthy days were estimated by age, gender, smoking status, depression status, and current e-cigarette use status. Overall healthy days were converted EQ-5D utility scores. Results: Cigarette use, e-cigarette use, and depression were each associated with more mentally and physically unhealthy days, with a more pronounced association observed for mental health. E-cigarette use alone was associated with 2.9-4.2 additional mentally unhealthy days and 1.3-2.8 additional physically unhealthy days per month across adult age groups, with the highest number of additional unhealthy days observed when all three conditions co-occurred. Whether with or without co-diagnosed depression, e-cigarette use was independently associated with poorer mental health among adults aged 18-64. Among young adults, e-cigarette use demonstrated measurable health disutility after accounting for cigarette use and depression. Conclusion: E-cigarette use is independently associated with poorer HRQoL, particularly among younger adults, and these negative associations scale upward when combined with cigarette smoking and depression. Quantifying these joint impacts as health disutility underscores the necessity of integrating e-cigarette cessation into comprehensive tobacco control and mental health policies.

Identifiers

PMID41929326
PMCPMC13042109

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.