Evidence map›Paper›PMID 38412027›Full record

ArticleJMIR formative research2024

Designing and Validating a Novel Method for Assessing Delay Discounting Associated With Health Behaviors: Ecological Momentary Assessment Study.

Amanda Luken, Jill A Rabinowitz, Jonathan L Wells, David W Sosnowski, Justin C Strickland, Johannes Thrul, Gregory D Kirk, Brion S Maher

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

8 authors.

Amanda LukenDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-8100-2176
Jill A RabinowitzDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-3674-8032
Jonathan L WellsDepartment of Epidemiology, School of Population Health, Virginia Commonwealth University, Richmond, VA, United States.ORCID https://orcid.org/0000-0002-0247-9313
David W SosnowskiDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0003-0007-7027
Justin C StricklandDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0003-1077-0394
Johannes ThrulDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-8929-9579
Gregory D KirkDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-7829-1405
Brion S MaherDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-9809-0064

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Pharmacogenomics of ART adherence and effectiveness in the ALIVE CohortR01DA047064 · NIDA · JOHNS HOPKINS UNIVERSITY · PI KIRK, GREGORY D, MAHER, BRION S · 2018 to 2023
$5.8M
NIDA NIH HHS R01 DA047064NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

backgroundDelay discounting quantifies an individual's preference for smaller, short-term rewards over larger, long-term rewards and represents a transdiagnostic factor associated with numerous adverse health outcomes. Rather than a fixed trait, delay discounting may vary over time and place, influenced by individual and contextual factors. Continuous, real-time measurement could inform adaptive interventions for various health conditions.

objectiveThe goals of this paper are 2-fold. First, we present and validate a novel, short, ecological momentary assessment (EMA)-based delay discounting scale we developed. Second, we assess this tool's ability to reproduce known associations between delay discounting and health behaviors (ie, substance use and craving) using a convenience-based sample.

methodsParticipants (N=97) were adults (age range 18-71 years), recruited on social media. In phase 1, data were collected on participant sociodemographic characteristics, and delay discounting was evaluated via the traditional Monetary Choice Questionnaire (MCQ) and our novel method (ie, 7-item time-selection and 7-item monetary-selection scales). During phase 2 (approximately 6 months later), participants completed the MCQ, our novel delay discounting measures, and health outcomes questions. The correlations between our method and the traditional MCQ within and across phases were examined. For scale reduction, a random number of items were iteratively selected, and the correlation between the full and random scales was assessed. We then examined the association between our time- and monetary-selection scales assessed during phase 2 and the percentage of assessments that participants endorsed using or craving alcohol, tobacco, or cannabis.

resultsIn total, 6 of the 7 individual time-selection items were highly correlated with the full scale (r>0.89). Both time-selection (r=0.71; P<.001) and monetary-selection (r=0.66; P<.001) delay discounting rates had high test-retest reliability across phases 1 and 2. Phase 1 MCQ delay discounting function highly correlated with phase 1 (r=0.76; P<.001) and phase 2 (r=0.45; P<.001) time-selection delay discounting scales. One or more randomly chosen time-selection items were highly correlated with the full scale (r>0.94). Greater delay discounting measured via the time-selection measure (adjusted mean difference=5.89, 95% CI 1.99-9.79), but not the monetary-selection scale (adjusted mean difference=-0.62, 95% CI -3.57 to 2.32), was associated with more past-hour tobacco use endorsement in follow-up surveys.

conclusionsThis study evaluated a novel EMA-based scale's ability to validly and reliably assess delay discounting. By measuring delay discounting with fewer items and in situ via EMA in natural environments, researchers may be better able to identify individuals at risk for poor health outcomes.

Indexed as

delay discountingecological momentary assessmentmeasurementmobile phonemonetaryMonetary Choice Questionnairequestionnairerewardrewardssubstance abusesubstance usesurveyvalidationvalidity

Identifiers

PMID38412027
PMCPMC10933719

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.