Evidence map›Paper›PMID 35027590›Full record

ArticleScientific reports2022

Use of electronic cigarettes and heated tobacco products during the Covid-19 pandemic.

Silvano Gallus, Chiara Stival, Giulia Carreras, Giuseppe Gorini, Andrea Amerio, Martin McKee, Anna Odone, Piet A van den Brandt, Lorenzo Spizzichino, Roberta Pacifici and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. What Can Current Biomarker Data Tell Us About the Risks of Lung Cancer Posed by Heated Tobacco Products?Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Scientific reports · 2022
    Article
  15. Review
  16. Article
  17. 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

11 authors at 7 institutions in 3 countries.

Silvano GallusDepartment of Environmental Health Sciences, Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156, Milan, Italy. silvano.gallus@marionegri.it.
Chiara StivalDepartment of Environmental Health Sciences, Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156, Milan, Italy.
Giulia CarrerasOncologic Network, Prevention and Research Institute (ISPRO), Florence, Italy.
Giuseppe GoriniOncologic Network, Prevention and Research Institute (ISPRO), Florence, Italy.
Andrea AmerioDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
Martin McKeeCentre for Global Chronic Conditions, London School of Hygiene and Tropical Medicine, London, UK.
Anna OdoneSchool of Medicine, University Vita-Salute San Raffaele, Milan, Italy.
Piet A van den BrandtDepartment of Epidemiology, GROW- School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Lorenzo SpizzichinoMinistry of Health, Rome, Italy.
Roberta PacificiNational Centre On Addiction and Doping, Istituto Superiore Di Sanità, Rome, Italy.
Alessandra LugoDepartment of Environmental Health Sciences, Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156, Milan, Italy.
Mario Negri Institute for Pharmacological Research · ITIstituto Superiore di Sanità · ITLondon School of Hygiene & Tropical Medicine · GBMaastricht University Medical Centre · NLMinistero della Salute · ITOspedale Policlinico San Martino · ITVita-Salute San Raffaele University · IT

Funding

AXA Research Fund Call for Proposals Covid-19DG-Welfare of Lombardy Region Progetti di ricerca in ambito sanitario connessi all'emergenza COVID 19; DGR n. XI/3017
6 · The paper itself

Abstract

Only a few studies investigated changes in electronic cigarette (e-cigarette) and heated tobacco product (HTP) use during pandemic restrictions. We conducted a web-based cross-sectional study of a representative sample of 6,003 Italian adults during the strictest phase of the Covid-19 lockdown (April-May 2020). Participants were asked to report changes in e-cigarette and HTP use compared to before the pandemic. E-cigarette users increased from 8.1% to 9.1% and HTP users from 4.0% to 4.5%. Among e-cigarette non-users before lockdown, 1.8% started using e-cigarettes during lockdown. New users were more frequently younger (p for trend 0.001), men (odds ratio, OR 1.56; 95% confidence interval, CI: 1.03-2.34), cannabis users (OR 2.35; 95% CI: 1.33-4.13), gamblers (OR 3.34; 95% CI: 2.18-5.11) and individuals with anxiety symptoms (OR 1.58; 95% CI: 1.00-2.52). 1.0% of HTP non-users started using it during lockdown. New users were less frequently current than never cigarette smokers (OR 0.19; 95% CI: 0.06-0.61) and more frequently gamblers (OR 2.23; 95% CI: 1.22-4.07). E-cigarettes and HTPs played little role as smoking cessation tools for hardcore smokers but rather provided opportunities for young never smokers to engage in socially acceptable activities, perhaps reflecting the obstacles they faced in obtaining other addictive substances during confinement.

Indexed as

AdolescentAdultAgedCOVID-19Cross-Sectional StudiesElectronic Nicotine Delivery SystemsFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2SmokersSurveys and QuestionnairesTobacco ProductsYoung Adult

Identifiers

PMID35027590
PMCPMC8758672
OpenAlexW4205388458

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.