Evidence map›Paper›PMID 39570899›Full record

ArticlePloS one2024

Association of tobacco purchasing behaviors with tobacco use by user groups during the COVID-19 pandemic: A mixed methods analysis.

Nikita G Kute, David L Ashley, Claire A Spears, Amy L Nyman, Katherine C Henderson, Vuong V Do, Jidong Huang, Lucy Popova

Abstract read
In one paragraph

Article in PloS one, 2024. 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

8 authors.

Nikita G KuteNew York State Department of Health, Health Research Inc., Albany, New York, United States of America.ORCID 0000-0003-4872-8618
David L AshleyDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America.ORCID 0000-0002-1060-5893
Claire A SpearsDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America.
Amy L NymanDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America.
Katherine C HendersonDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America.
Vuong V DoCenter for Tobacco Control Research and Education, University of California San Francisco, San Francisco, California, United States of America.ORCID 0000-0003-2140-9772
Jidong HuangDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America.
Lucy PopovaDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America.

Funding

The Impact of Design Characteristics on the Modification Potential of Electronic Nicotine Delivery SystemsR01DA047397 · NIDA · GEORGIA STATE UNIVERSITY · PI ASHLEY, DAVID LIDDELL, POPOVA, LYUDMILA · 2018 to 2020
$1.6M
NIDA NIH HHS R01 DA047397
6 · The paper itself

Abstract

purposeTo understand changes in purchasing behaviors and use of tobacco products such as e-cigarettes and cigarettes among different tobacco user groups during the COVID-19 pandemic using a mixed methods approach.

methodsA quantitative online survey was conducted in October-November 2020 using a national probability sample of US adults (N = 1,460) comprising exclusive cigarette smokers (n = 1,080), dual users of both cigarettes and e-cigarettes (n = 143), and exclusive e-cigarette users (n = 237). Simultaneously, ten online focus groups were conducted with 61 adults in the Atlanta, GA area including exclusive smokers (n = 16), current E-cigarette users (n = 22), and transitioning (recently quit or currently quitting) smokers and/or E-cigarette users (n = 23).

resultsFrom the survey, dual users vs. exclusive smokers had higher odds of buying cheaper cigarette brands (adjusted odds ratio (aOR) 2.50, 95% confidence interval (CI) = 1.49, 4.20), buying cigarettes online (aOR = 2.79; 95% CI = 1.02, 7.69), buying from Indian Reservations (aOR = 3.99; 95% CI = 2.07, 7.69), buying fewer cigarettes than normal (aOR = 4.01; 95% CI = 2.42, 6.65) and buying other tobacco products (aOR = 4.44; 95% CI = 2.24, 8.79). From the focus groups, participants perceived reduced accessibility, fear of contracting COVID-19, rising prices, and convenience to influence their purchasing behaviors and tobacco use.

conclusionsExclusive and dual users differed in their tobacco purchasing behaviors during the COVID-19 pandemic, such that dual users were more likely to change their purchasing behaviors (e.g., buying other tobacco products) than exclusive users. Educational campaigns and public health workers may promote interventions targeting dual users either to switch to reduced-risk products or quit smoking, particularly during stressful societal situations such as the COVID-19 pandemic. IMPLICATIONS: The findings inform public health educators and policymakers to develop policies and interventions carefully tailored for tobacco user groups targeting the perceived factors influencing purchasing behaviors during challenging situations affecting tobacco product availability.

Indexed as

Consumer BehaviorCOVID-19Electronic Nicotine Delivery SystemsTobacco ProductsAdolescentAdultCommerceFemaleFocus GroupsHumansMaleMiddle AgedPandemicsSARS-CoV-2Surveys and QuestionnairesTobacco Use

Identifiers

PMID39570899
PMCPMC11581335

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.