Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Development of a Self-Report Measure of Reward Sensitivity: A Test in Current and Former Smokers

John R Hughes MD, Peter W Callas PhD, Jeff S Priest PhD, Jean-Francois Etter PhD, Alan J Budney PhD, Stacey C Sigmon PhD
doi: https://doi.org/10.1101/128793
John R Hughes MD
aVermont Center for Behavior and Health, Departments of Psychiatry and Psychological Science, University of Vermont, Burlington, VT 05401,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: john.hughes@uvm.edu
Peter W Callas PhD
bDepartment of Mathematics and Statistics, University of Vermont, Burlington, VT 05401,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jeff S Priest PhD
bDepartment of Mathematics and Statistics, University of Vermont, Burlington, VT 05401,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jean-Francois Etter PhD
cInstitute of Global Health, University of Geneva, Geneva, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alan J Budney PhD
dDepartment of Psychiatry, Geisel School of Medicine, Hanover, NH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Stacey C Sigmon PhD
aVermont Center for Behavior and Health, Departments of Psychiatry and Psychological Science, University of Vermont, Burlington, VT 05401,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Introduction Tobacco use or abstinence may increase or decrease reward sensitivity. Most existing measures of reward sensitivity were developed decades ago, and few have undergone extensive psychometric testing.

Methods We developed a 58-item survey of the anticipated enjoyment from, wanting for, and frequency of common rewards (the Rewarding Events Inventory – REI). The current analyses focuses on ratings of anticipated enjoyment. The first validation study recruited current and former smokers from internet sites. The second study recruited smokers who wished to quit and monetarily reinforced them to stay abstinent in a laboratory study, and a comparison group of former smokers. In both studies, participants completed the inventory on two occasions, 3-7 days apart. They also completed four anhedonia scales and a behavioral test of reduced reward sensitivity.

Results Half of the enjoyment ratings loaded on four factors: socializing, active hobbies, passive hobbies, and sex/drug use. Cronbach alpha coefficients were all ≥ 0.73 for overall mean and factor scores. Test-retest correlations were all ≥ 0.83. Correlations of the overall and factor scores with frequency of rewards, anhedonia scales were 0.19 – 0.53, except for the sex/drugs factor. The scores did not correlate with behavioral tests of reward and did not differ between current and former smokers. Lower overall mean enjoyment score predicted a shorter time to relapse.

Discussion Internal reliability and test-retest reliability of the enjoyment outcomes of the REI are excellent, and construct and predictive validity are modest but promising. The REI is comprehensive and up-to-date, yet is short enough to use on repeated occasions. Replication tests, especially predictive validity tests, are needed.

Implications Both use of and abstinence from nicotine appears to increase or decrease how rewarding non-drug rewards are; however, self-report scales to test this have limitations. Our inventory of enjoyment from 58 rewards appears to be reliable and valid as well as comprehensive and up-to-date, yet is short enough to use on repeated occasions. Replication tests, especially of the predictive validity of our scale, are needed.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted April 20, 2017.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Development of a Self-Report Measure of Reward Sensitivity: A Test in Current and Former Smokers
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Development of a Self-Report Measure of Reward Sensitivity: A Test in Current and Former Smokers
John R Hughes MD, Peter W Callas PhD, Jeff S Priest PhD, Jean-Francois Etter PhD, Alan J Budney PhD, Stacey C Sigmon PhD
bioRxiv 128793; doi: https://doi.org/10.1101/128793
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Development of a Self-Report Measure of Reward Sensitivity: A Test in Current and Former Smokers
John R Hughes MD, Peter W Callas PhD, Jeff S Priest PhD, Jean-Francois Etter PhD, Alan J Budney PhD, Stacey C Sigmon PhD
bioRxiv 128793; doi: https://doi.org/10.1101/128793

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (4087)
  • Biochemistry (8768)
  • Bioengineering (6481)
  • Bioinformatics (23348)
  • Biophysics (11752)
  • Cancer Biology (9150)
  • Cell Biology (13256)
  • Clinical Trials (138)
  • Developmental Biology (7417)
  • Ecology (11371)
  • Epidemiology (2066)
  • Evolutionary Biology (15091)
  • Genetics (10402)
  • Genomics (14012)
  • Immunology (9122)
  • Microbiology (22050)
  • Molecular Biology (8780)
  • Neuroscience (47381)
  • Paleontology (350)
  • Pathology (1420)
  • Pharmacology and Toxicology (2482)
  • Physiology (3705)
  • Plant Biology (8054)
  • Scientific Communication and Education (1431)
  • Synthetic Biology (2209)
  • Systems Biology (6016)
  • Zoology (1250)