Evidence map›Paper›PMID 32717262›Full record

ArticlePreventive medicine2020

Comparing participant estimated demand intensity on the cigarette Purchase Task to consumption when usual-brand cigarettes were provided free.

Tyler D Nighbor, Anthony J Barrows, Janice Y Bunn, Michael J DeSarno, Anthony C Oliver, Sulamunn R M Coleman, Danielle R Davis, Joanna M Streck, Ellaina N Reed, Derek D Reed and 1 more

Abstract read
In one paragraph

Article in Preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Imagining the future can shape the present: A systematic review of the impact of episodic future thinking on substance use outcomes.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
    Pooled it
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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

11 authors.

Tyler D NighborVermont Center on Behavior and Health, University of Vermont, United States of America; Department of Psychiatry, University of Vermont, United States of America.
Anthony J BarrowsVermont Center on Behavior and Health, University of Vermont, United States of America.
Janice Y BunnDepartment of Medical Biostatistics, University of Vermont, United States of America.
Michael J DeSarnoDepartment of Medical Biostatistics, University of Vermont, United States of America.
Anthony C OliverVermont Center on Behavior and Health, University of Vermont, United States of America; Department of Psychiatry, University of Vermont, United States of America.
Sulamunn R M ColemanVermont Center on Behavior and Health, University of Vermont, United States of America; Department of Psychiatry, University of Vermont, United States of America.
Danielle R DavisVermont Center on Behavior and Health, University of Vermont, United States of America.
Joanna M StreckVermont Center on Behavior and Health, University of Vermont, United States of America.
Ellaina N ReedVermont Center on Behavior and Health, University of Vermont, United States of America.
Derek D ReedDepartment of Applied Behavioral Science, University of Kansas, United States of America.
Stephen T HigginsVermont Center on Behavior and Health, University of Vermont, United States of America; Department of Psychiatry, University of Vermont, United States of America; Department of Psychology, University of Vermont, United States of America. Electronic address: stephen.higgins@uvm.edu.

Funding

Vermont Center on Behavior and HealthP20GM103644 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI KHADANGA, SHERRIE · 2013 to 2022
$21.3M
University of Vermont Tobacco Center of Regulatory ScienceU54DA036114 · NIDA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2018 to 2022
$19.4M
TRAINING IN BEHAV. PHARMACOLOGY OF HUMAN DRUG DEPENDENCET32DA007242 · NIDA · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI HEIL, SARAH H, HIGGINS, STEPHEN T · 1990 to 2025
$8.2M
Career Development Program in Substance Use and Addiction MedicineK12DA043490 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI A EDEN EVINS, NANCY A RIGOTTI · 2017 to 2026
$4.7M
NIDA NIH HHS K12 DA043490NIDA NIH HHS T32 DA007242NIDA NIH HHS U54 DA036114NIGMS NIH HHS P20 GM103644
6 · The paper itself

Abstract

Accumulating evidence suggests that the hypothetical Cigarette Purchase Task (CPT), especially its demand Intensity index (i.e., estimated cigarettes participants would smoke if free), is associated with individual differences in smoking risk. Nevertheless, few studies have examined the extent to which hypothetical CPT demand Intensity may differ from consumption when participants are provided with free cigarettes. That topic is the overarching focus of the present study. Participants were 745 adult smokers with co-morbid psychiatric conditions or socioeconomic disadvantage. CPT was administered for usual-brand cigarettes prior to providing participants with seven days of their usual-brand cigarettes free of cost and consumption was recorded daily via an Interactive Voice Response (IVR) System. Demand Intensity was correlated with IVR smoking rate (rs 0.670-0.696, ps < 0.001) but estimates consistently exceeded IVR smoking rates by an average of 4.4 cigarettes per day (ps < 0.001). Importantly, both measures were comparably sensitive to discerning well-established differences in smoking risk, including greater cigarettes per day among men versus women (F(1,732) = 18.74, p < 0.001), those with versus without opioid-dependence (F(1,732) = 168.37, p < 0.001), younger versus older adults (F(2,730) = 32.93, p < 0.001), and those with lower versus greater educational attainment (F(1,732) = 38.26, p < 0.001). Overall, CPT demand Intensity appears to overestimate consumption rates relative to those observed when participants are provided with free cigarettes, but those deviations are systematic (i.e., consistent in magnitude and direction, Fs all <1.63; ps > 0.19 for all interactions with subgroups). This suggests that demand Intensity was sensitive to established group differences in smoking rate, supporting its utility as an important measure of addiction potential.

Indexed as

Smoking CessationTobacco ProductsAgedFemaleHumansMaleSmokersSmokingTobacco SmokingAddiction potentialBehavioral economicsCigarette Purchase TaskInteractive Voice Response systemSmoking

Identifiers

PMID32717262
PMCPMC7680356

What OpenQuestion holds

Textmetadata
LicenceTDM
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.