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. 2022 May:47:101375.
doi: 10.1016/j.eclinm.2022.101375. Epub 2022 Apr 12.

Tobacco smoking changes during the first pre-vaccination phases of the COVID-19 pandemic: A systematic review and meta-analysis

Affiliations

Tobacco smoking changes during the first pre-vaccination phases of the COVID-19 pandemic: A systematic review and meta-analysis

Peter Sarich et al. EClinicalMedicine. 2022 May.

Abstract

Background: Globally, tobacco smoking remains the largest preventable cause of premature death. The COVID-19 pandemic has forced nations to take unprecedented measures, including 'lockdowns' that might impact tobacco smoking behaviour. We performed a systematic review and meta-analyses to assess smoking behaviour changes during the early pre-vaccination phases of the COVID-19 pandemic in 2020.

Methods: We searched Medline/Embase/PsycINFO/BioRxiv/MedRxiv/SSRN databases (January-November 2020) for published and pre-print articles that reported specific smoking behaviour changes or intentions after the onset of the COVID-19 pandemic. We used random-effects models to pool prevalence ratios comparing the prevalence of smoking during and before the pandemic, and the prevalence of smoking behaviour changes during the pandemic. The PROSPERO registration number for this systematic review was CRD42020206383.

Findings: 31 studies were included in meta-analyses, with smoking data for 269,164 participants across 24 countries. The proportion of people smoking during the pandemic was lower than that before, with a pooled prevalence ratio of 0·87 (95%CI:0·79-0·97). Among people who smoke, 21% (95%CI:14-30%) smoked less, 27% (95%CI:22-32%) smoked more, 50% (95%CI:41%-58%) had unchanged smoking and 4% (95%CI:1-9%) reported quitting smoking. Among people who did not smoke, 2% (95%CI:1-3%) started smoking during the pandemic. Heterogeneity was high in all meta-analyses and so the pooled estimates should be interpreted with caution (I2 >91% and p-heterogeneity<0·001). Almost all studies were at high risk of bias due to use of non-representative samples, non-response bias, and utilisation of non-validated questions.

Interpretation: Smoking behaviour changes during the first phases of the COVID-19 pandemic in 2020 were highly mixed. Meta-analyses indicated that there was a relative reduction in overall smoking prevalence during the pandemic, while similar proportions of people who smoke smoked more or smoked less, although heterogeneity was high. Implementation of evidence-based tobacco control policies and programs, including tobacco cessation services, have an important role in ensuring that the COVID-19 pandemic does not exacerbate the smoking pandemic and associated adverse health outcomes.

Funding: No specific funding was received for this study.

Keywords: COVID-19; Coronavirus; Smoking; Systematic review; Tobacco.

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Conflict of interest statement

KC is co-PI of an investigator-initiated trial of cervical screening, Compass, run by the VCS Foundation, which is a government-funded not-for-profit charity; the VCS Foundation has received equipment and a funding contribution from Roche Molecular Diagnostics. She is also co-PI on a major investigator-initiated implementation program Elimination of Cervical Cancer in the Western Pacific (ECCWP) which will receive support from the Minderoo Foundation, the Frazer Family Foundation and equipment donations from Cepheid Inc. Neither KC nor her institution on her behalf receives direct funding from industry for any project. KC's research is supported via a National Health and Research Council Australia Leadership Fellowship (NHMRC; APP1194679). KC chairs and participates in a number of advisory committees to government and not-for-profit agencies; no committee participation for commercial companies. MC is an investigator on an investigator-initiated trial of cytology and primary HPV screening in Australia (‘Compass’) (ACTRN12613001207707 and NCT02328872), which is conducted and funded by the VCS Foundation a government-funded not-for-profit charity. The VCS Foundation has received equipment and a funding contribution for the Compass trial from Roche Molecular Systems. However neither MC nor his institution on his behalf (The Daffodil Centre, a joint venture between Cancer Council NSW and The University of Sydney) receive direct or indirect funding from industry for Compass Australia or any other project. MW's institution (The Daffodil Centre) received competitive grant and contract funding from the Australian Government for various projects outside the submitted work on which she is a named investigator, and received an honorarium from scientific meeting organisers for a presentation outside the submitted work. Where authors are identified as personnel of the International Agency for Research on Cancer or World Health Organization, the authors alone are responsible for the views expressed in this article and they do not necessarily represent the decisions, policy or views of the International Agency for Research on Cancer or World Health Organization. The opinions expressed in this article are the authors own and do not reflect the view of the National Institutes of Health, the Department of Health and Human Services, or the United States Government.

Figures

Fig 1
Figure 1
Flow diagram based on the PRISMA 2020 flow chart summarising the article screening process. The characteristics and outcomes of all 44 included studies are described qualitatively. Studies included in the quantitative synthesis had sufficient data for pooling in a meta-analysis and are described in Tables 1a, 1b. Studies with insufficient or inconsistent data excluded from the quantitative synthesis are described in Supplementary Tables 5a and b. *Excluded publication type or study design, or letter or comment without relevant primary data. ^The full text of one study was unable to be retrieved for eligibility assessment (French, M., et al., 2020. PMID: 32853158).
Fig 2
Figure 2
a. Meta-analysis of prevalence ratios for smoking prevalence during early COVID-19 pandemic (2020) compared to smoking prevalence before COVID-19 pandemic. *Prevalence ratios less/more than one indicate a reduction/increase in smoking prevalence during the COVID-19 pandemic, respectively. Surveys are cross-sectional (n = 9) that asked participants about their smoking behaviour before (retrospectively) and during the pandemic, or longitudinal (n = 3, Jacksonb, McIntyre and Niedzwiedz) that asked participants about their smoking behaviour contemporaneously before and during the pandemic. CI: Confidence interval. Fig. 2b. Meta-regression of smoking prevalence ratios for smoking prevalence during COVID-19 pandemic compared to smoking prevalence before COVID-19 pandemic by mean daily stringency index during the study survey period. Prevalence ratios less/more than one indicate a reduction/increase in smoking prevalence during COVID-19 pandemic, respectively. Surveys are cross-sectional (n = 9) that asked participants about their smoking behaviour before (retrospectively) and during lockdown, or longitudinal (n = 3, Jacksonb, McIntyre and Niedzwiedz) that asked participants about their smoking behaviour contemporaneously before and during lockdown. Repeated countries are due to different studies being conducted in the same countries. The OxCGRT Stringency Index is a measure of variation in governments’ responses to COVID-19 and is an additive score of nine indicators (such as school closures, travel bans, etc.) rescaled to vary from 0 to 100.10
Fig 3
Figure 3
Meta-analysis of proportion (effect estimates, ES) of smokers who reported: (a) smoking less, (b) smoking more and (c) smoking unchanged during the COVID-19 pandemic. *A sensitivity analysis including only studies that reported both smoking more and smoking less is presented in Supplementary Fig. 2. †Proportions for unchanged smoking were calculated only for those studies that reported both more and less smoking as 1-ES(more)-ES(less). CI: Confidence interval.
Fig 4
Figure 4
Meta-analysis of smoking behaviour changes for (a) proportion (effect estimates, ES) of smokers who stopped smoking, (b) proportion of non-smokers who started smoking, (c) proportion of smokers who had an increased motivation or desire to quit, (d) proportion of smokers who had a decreased motivation or desire to quit during the COVID-19 pandemic. For plot (a) surveys are cross-sectional (n = 4) that asked participants about their smoking behaviour before (retrospectively) and during COVID-19 pandemic, or longitudinal (n = 2, Jackson and Siddiqi) that asked participants about their smoking behaviour contemporaneously before and during COVID-19 pandemic. For plot (b) surveys are cross-sectional that asked participants about their smoking behaviour before (retrospectively) and during lockdown. *For plots (c) and (d) heterogeneity estimates were not calculable as there were only 2 studies.CI: Confidence interval.

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