Evidence map›Paper›PMID 36124654›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2023

The Short-Term and Long-Term Associations Between Receiving Tobacco Discounts or Coupons and Smoking Cessation Among U.S. Adult Cigarette Smokers With Intention to Quit.

Yu Wang, Zongshuan Duan, Scott R Weaver, Shannon R Self-Brown, David L Ashley, Sherry L Emery, Jidong Huang

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Yu WangDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.ORCID 0000-0002-1481-5329
Zongshuan DuanDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.ORCID 0000-0002-2598-1752
Scott R WeaverDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.ORCID 0000-0003-3155-4041
Shannon R Self-BrownDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
David L AshleyDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
Sherry L EmeryNORC at the University of Chicago, Chicago, IL, USA.
Jidong HuangDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.ORCID 0000-0002-3425-9155

Funding

Assessing the Intended and Unintended Consequences of E-cigarette TV AdvertisingR01CA194681 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI HUANG, JIDONG · 2015 to 2019
$3.7M
NCI NIH HHS R01 CA194681NIH HHS
6 · The paper itself

Abstract

introductionTo examine the associations between baseline receipt of cigarette and non-cigarette tobacco discounts or coupons and smoking cessation at follow-up among US adult cigarette smokers with the intention to quit at baseline. AIMS AND

methodsData were from the Population Assessment of Tobacco and Health (PATH) study wave 3 (October 2015-October 2016), wave 4 (December 2016-January 2018), and wave 5 (December 2018-November 2019) surveys. Two separate sets of analyses were conducted using wave 3-4 data (N = 3707) and wave 4-5 data (N = 6251). Specifically, wave 4 was used as the 1-year follow-up of wave 3 to examine the short-term association, and wave 5 was used as the 2-year follow-up of wave 4 to examine the longer-term association. Study population were current established cigarette smokers with the intention to quit (within 1 year for wave 3-4 data) at baseline. Exposure was self-reported past 12-month receipt of discounts or coupons for cigarettes and non-cigarette tobacco products at baseline, and outcome was self-reported completely quitting cigarette smoking at follow-up. Baseline single-wave weights were applied, and multivariate logistic regressions were used to estimate the adjusted associations.

resultsParticipants who received cigarette discounts or coupons at baseline were less likely to quit completely for both 1-year follow-up (aOR = 0.66, 95% CI: 0.48 to 0.90) and 2-year follow-up (aOR = 0.74, 95% CI: 0.61 to 0.90). Baseline receipt of discounts or coupons for non-cigarette tobacco products were not consistently associated with cigarette smoking cessation at follow-up.

conclusionsReceipt of cigarette discounts or coupons was associated with a reduced likelihood of successful quitting among cigarette smokers with intention to quit. Policies restricting cigarette coupons may help them quit completely. IMPLICATIONS: This study found that among baseline current established cigarette smokers with intention to quit in the United States, baseline receipt of cigarette discounts or coupons was negatively associated with cigarette smoking cessation for both 1-year follow-up and 2-year follow-up. Baseline receipt of discounts or coupons for e-cigarettes, cigars, and other tobacco products were not consistently significantly associated with cigarette smoking cessation at follow-up. Our study results indicated that policies restricting cigarette coupons may help increase the likelihood of successful smoking cessation for smokers with intention to quit.

Indexed as

Electronic Nicotine Delivery SystemsSmoking CessationTobacco ProductsAdultHumansIntentionSmokersSurveys and QuestionnairesUnited States

Identifiers

PMID36124654
PMCPMC10032185

What OpenQuestion holds

Textmetadata
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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.