Evidence map›Paper›PMID 30896238›Full record

ArticleExperimental and clinical psychopharmacology2019

Brief Assessment of Cigarette Demand (BACD): Initial development and correlational results in adults and adolescents.

Cara M Murphy, Rachel N Cassidy, Rosemarie A Martin, Jennifer W Tidey, James Mackillop, Damaris J Rohsenow

Abstract read
In one paragraph

Article in Experimental and clinical psychopharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. Article
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

6 authors.

Cara M MurphyDepartment of Behavioral & Social Sciences, Center for Alcohol and Addiction Studies, Brown University School of Public Health.
Rachel N CassidyDepartment of Behavioral & Social Sciences, Center for Alcohol and Addiction Studies, Brown University School of Public Health.
Rosemarie A MartinDepartment of Behavioral & Social Sciences, Center for Alcohol and Addiction Studies, Brown University School of Public Health.
Jennifer W TideyDepartment of Behavioral & Social Sciences, Center for Alcohol and Addiction Studies, Brown University School of Public Health.
James MackillopCenter for Alcohol and Addiction Studies, Brown University.
Damaris J RohsenowDepartment of Behavioral & Social Sciences, Center for Alcohol and Addiction Studies, Brown University School of Public Health.

Funding

VERY LOW NICOTINE CIGARETTES IN SMOKERS WITH SCHIZOPHRENIAU54DA031659 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HATSUKAMI, DOROTHY K · 2011 to 2022
$64.7M
University of Vermont Tobacco Center of Regulatory ScienceU54DA036114 · NIDA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2018 to 2022
$19.4M
Vermont Center on Tobacco Regulatory ScienceP50DA036114 · NIDA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2013 to 2017
$19.1M
Substance Abuse Intervention/Outcome Research TrainingT32DA016184 · NIDA · BROWN UNIVERSITY · PI Damaris J. Rohsenow, JENNIFER W. TIDEY · 2003 to 2026
$6.1M
Very Low-Nicotine Cigarettes in Smokers with SUD: Smoking, Substance Use EffectsR01DA034628 · NIDA · BROWN UNIVERSITY · PI ROHSENOW, DAMARIS J. · 2013 to 2018
$2.9M
A Multiple Health Behavior Change Intervention for Overweight and Obese SmokersK23DA045078 · NIDA · BROWN UNIVERSITY · PI MURPHY, CARA · 2019 to 2023
$1.1M
Evaluation of Very Low Nicotine Content Cigarettes in Adolescent SmokersK01CA189300 · NCI · BROWN UNIVERSITY · PI CASSIDY, RACHEL N · 2014 to 2018
$897k
NCI NIH HHS K01 CA189300NIDA NIH HHS K23 DA045078NIDA NIH HHS L30 DA042415NIDA NIH HHS P50 DA036114NIDA NIH HHS R01 DA034628NIDA NIH HHS T32 DA016184NIDA NIH HHS U54 DA031659NIDA NIH HHS U54 DA036114
6 · The paper itself

Abstract

Developing briefer behavioral economic measures is an important priority to ensure that these measures can be used in a variety of different contexts and to reduce participant burden. We developed and sought to validate a Brief Assessment of Cigarette Demand (BACD). A 17-item Cigarette Purchase Task (CPT) and a 3-item BACD were completed concurrently in 2 community samples of smokers (Study 1, adult smokers [n = 80] with substance use disorders; Study 2, adolescent smokers [n = 81]). Responses on the CPT and BACD were compared on the following demand indices: (a) intensity (the number of cigarettes requested at no cost), (b) Omax (the maximum expenditure on cigarettes in a 24-hr period), and (c) breakpoint (the point at which consumption is totally suppressed/no cigarettes are purchased). Correlations of demand indices with cigarettes per day and nicotine dependence were calculated. Measures of cigarette demand on the CPT and BACD were significantly correlated, albeit at very different magnitudes, for all 3 indices in the adult sample (intensity, r = .86; breakpoint, r = .23; and Omax, r = .43) and for 2 of the indices in the adolescent sample (intensity, r = .97; breakpoint, r = .33). The CPT and BACD relationships with smoking and nicotine dependence were similar for breakpoint and intensity but not for Omax. As initial findings were mixed, additional validation work is recommended to improve psychometric properties before adoption. Valid brief measures of demand could have utility for research and treatment of addictive disorders. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Indexed as

Economics, BehavioralAdolescentAdultCigarette SmokingFemaleHumansMaleMiddle AgedTobacco Use DisorderYoung Adult

Identifiers

PMID30896238
PMCPMC6800201

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.