Evidence map›Paper›PMID 35149114›Full record

ArticlePreventive medicine2022

Decreases in smoking and vaping during COVID-19 stay-at-home orders among a cohort of young adults in the United States.

Rachel Denlinger-Apte, Cynthia K Suerken, Jennifer Cornacchione Ross, Beth A Reboussin, John Spangler, Kimberly G Wagoner, Erin L Sutfin

Abstract read
In one paragraph

Article in Preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Investigating changes in vape use among Canadian youth from 2014 to 2022.Canadian journal of public health = Revue canadienne de sante publique · 2026
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  11. Noncigarette Tobacco Product Use Among Smoking-Susceptible and Nonsusceptible Adolescent Never Smokers, 2009-2021.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2024
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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

7 authors.

Rachel Denlinger-ApteDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA. Electronic address: rdenling@wakehealth.edu.
Cynthia K SuerkenDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA. Electronic address: csuerken@wakehealth.edu.
Jennifer Cornacchione RossDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA. Electronic address: jcornacc@wakehealth.edu.
Beth A ReboussinDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA. Electronic address: brebouss@wakehealth.edu.
John SpanglerDepartment of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA. Electronic address: jspangle@wakehealth.edu.
Kimberly G WagonerDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA. Electronic address: kwagoner@wakehealth.edu.
Erin L SutfinDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA. Electronic address: esutfin@wakehealth.edu.

Funding

Tobacco Use during the Transition to AdulthoodR01CA141643 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUTFIN, ERIN L · 2009 to 2020
$6.9M
NCI NIH HHS R01 CA141643
6 · The paper itself

Abstract

In Spring 2020, most US states and territories implemented stay-at-home orders to slow transmission of the novel coronavirus SARS-CoV2, the cause of COVID-19. Little is known about the impact of stay-at-home orders on tobacco and nicotine use including among young adults. The current study examined participants (N = 1727) completing three recent survey waves from a longitudinal cohort of young adults recruited in 2010 from North Carolina and Virginia, USA: Wave 13 (Spring 2019), Wave 14 (Fall 2019), and Wave 15 (Spring 2020) to assess changes in cigarette and e-cigarette use. We conducted logistic regression analyses to compare the odds that participants reported smoking or vaping in Wave 14 relative to Wave 13 to establish if there was a trend of use pre-pandemic. Then, we conducted logistic regression analyses to compare the odds that participants reported smoking or vaping in Wave 15 relative to Wave 14 to determine the impact of COVID-19 stay-at-home orders. When comparing the odds of reporting tobacco use at Wave 14 to Wave 13, no differences emerged (p > 0.05). However, when comparing tobacco use at Wave 15 to Wave 14, participants had 40% lower odds of reporting past 30-day cigarette use (p = 0.02) and 50% lower odds of reporting past 30-day e-cigarette use (p < 0.01). The current study provides initial evidence that young adults may have reduced their tobacco and nicotine use during the stay-at-home orders. However, more work is needed to determine the long-term impact of the COVID-19 pandemic on tobacco use and cessation in this population.

Indexed as

COVID-19Electronic Nicotine Delivery SystemsVapingHumansPandemicsRNA, ViralSARS-CoV-2SmokingUnited StatesYoung AdultRNA, ViralCigarettesCOVID-19E-cigarettes

Identifiers

PMID35149114
PMCPMC8824729

What OpenQuestion holds

Textmetadata
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.