Characterizing Pandemic-Related Changes in Smoking Over Time in a Cohort of Current and Former Smokers.


Journal

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
ISSN: 1469-994X
Titre abrégé: Nicotine Tob Res
Pays: England
ID NLM: 9815751

Informations de publication

Date de publication:
05 01 2023
Historique:
received: 14 07 2021
revised: 17 11 2021
accepted: 31 01 2022
pubmed: 10 2 2022
medline: 11 1 2023
entrez: 9 2 2022
Statut: ppublish

Résumé

We used a longitudinal cohort of US adults who were current or former smokers to explore how three participant-reported factors-general stress, coronavirus disease of 2019 (COVID-19) distress, and perceived risk of complications from COVID-19 related to smoking-were associated with changes in smoking status. Smoking status was assessed at three time points. Timepoint 1 status was assessed at a prior study completion (2018-2020). Timepoint 2 (start of the pandemic), and Timepoint 3 (early phase of the pandemic) statuses were assessed using an additional survey in 2020. After classifying participants into eight groups per these time points, we compared the means of participant-reported factors and used a linear regression model to adjust for covariates. Participants (n = 392) were mostly female (73.9%) and non-Hispanic White (70.1%). Between Timepoints 2 and 3, abstinence rates decreased by 11%, and 40% of participants reported a smoking status change. Among those reporting a change and the highest general stress levels, newly abstinent participants had higher perceived risk of complications from COVID-19 related to smoking than those who relapsed during pandemic (mean (SD): 14.2 (3.3) vs. 12.6 (3.8)). Compared to participants who sustained smoking, those who sustained abstinence, on average, scored 1.94 less on the general stress scale (βeta Coefficient (β): -1.94, p-value < .01) and 1.37 more on the perceived risk of complications from COVID-19 related to smoking scale (β: 1.37, p-value .02). Decreased abstinence rates are concerning. Patterns of reported factors were as expected for individuals who sustained their smoking behavior but not for those who changed. We observed an increase in smoking rates during the COVID-19 pandemic. In exploring how combinations of general stress levels, COVID-19 distress levels, and perceived risk of complications from COVID-19 related to smoking were associated with changes in smoking, we observed expected patterns of these factors among individuals who sustained abstinence or smoking. Among individuals who changed smoking status and reported high stress levels, those who reported a higher perceived risk of complications from COVID-19 related to smoking abstained from smoking. In contrast, those who reported a lower perceived risk of complications from COVID-19 related to smoking, started smoking. An intersectional perspective may be needed to understand smokers' pandemic-related behavior changes.

Identifiants

pubmed: 35137213
pii: 6523084
doi: 10.1093/ntr/ntac033
pmc: PMC9383439
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

203-210

Subventions

Organisme : NCI NIH HHS
ID : F31 CA263974
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA244693
Pays : United States
Organisme : NIDDK NIH HHS
ID : R25 DK123008
Pays : United States

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Catherine S Nagawa (CS)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Mayuko Ito Fukunaga (M)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Meyers Primary Care Institute, Worcester, MA, USA.

Jamie M Faro (JM)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Feifan Liu (F)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Ekaterina Anderson (E)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Center for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, Bedford, MA, USA.

Ariana Kamberi (A)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Elizabeth A Orvek (EA)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Maryann Davis (M)

Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Lori Pbert (L)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Sarah L Cutrona (SL)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Meyers Primary Care Institute, Worcester, MA, USA.

Thomas K Houston (TK)

Wake Forest University School of Medicine, Winston-Salem, NC, USA.

Rajani S Sadasivam (RS)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

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