Evidence map›Paper›PMID 34806196›Full record

ArticleAlcoholism, clinical and experimental research2022

Mobile assessment of decisions to drink in young adults: Examining the role of incentives and disincentives.

Lindy K Howe, Savanna Copeland, Lindsey Fisher, Eli Farmer, Luca Nemes, Peter R Finn

Open access · greenAbstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Event-level impacts of proximal responsibilities and impulsive traits on drinking behavior during real-world drinking episodes.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
    Article
  3. Article
  4. Article
  5. A daily diary exploration of contexts and experiences associated with planned drinking decisions in young adults.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Review
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 at 1 institution in 1 country.

Lindy K HoweDepartment of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, Indiana, USA.ORCID 0000-0002-8878-2814
Savanna CopelandDepartment of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, Indiana, USA.
Lindsey FisherDepartment of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, Indiana, USA.
Eli FarmerDepartment of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, Indiana, USA.
Luca NemesDepartment of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, Indiana, USA.
Peter R FinnDepartment of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, Indiana, USA.ORCID 0000-0002-0998-0442
Indiana University Bloomington · US

Funding

Behavioral Disinhibition in Early-onset AlcoholismR01AA013650 · NIAAA · TRUSTEES OF INDIANA UNIVERSITY · PI FINN, PETER R · 2002 to 2018
$5.5M
INTEGRATIVE PREDOCTORAL TRAINING IN DRUG ABUSE RESEARCH AT INDIANA UNIVERSITYT32DA024628 · NIDA · TRUSTEES OF INDIANA UNIVERSITY · PI Andrea Grace Hohmann, Kenneth Mackie · 2008 to 2026
$3.1M
NIAAA NIH HHS R01 AA013650NIDA NIH HHS T32 DA024628
6 · The paper itself

Abstract

backgroundResearch on decision-making (DM) biases in persons with alcohol use disorder have largely relied on behavioral economic DM tasks, which do not assess the dynamic multitude of factors associated with real-world decisions about drinking. The current study extends the literature on DM and alcohol use by using a mobile daily diary approach to investigate whether, and how, real-world incentives and disincentives are associated with actual drinking decisions in college students.

methodsWe assessed current drinking and lifetime alcohol problems in 104 young adults (61.5% female, 84.5% White) who, for 14 days, used a mobile daily diary to respond to questions about drinking decisions from the day prior. Mobile prompts assessed daily data on the timing of drinking decisions, alcohol quantity initially decided to drink, quantity actually decided to drink, and the incentives that influenced drinking decisions.

resultsUsers of the app reported high usability, high compliance rates were observed, and incentive responses were reduced to three subtypes: alcohol, social/party, and mood. Daily mobile measures of drinking quantity were strongly correlated with self-reported drinking 2 weeks prior to the daily assessment. Lifetime alcohol problems were positively related to the average quantity decided to drink per event, drinking more than initially decided, and higher levels of self-reported drinking-decision incentives. "Alcohol" and "social/party" incentives were positively related to the quantity the participant decided to drink at drinking events. Mood incentives and disincentives showed little to no significant relationships with drinking decisions.

conclusionsThe results suggest that mobile data collection can be useful for assessing aspects of real-world drinking decisions and the influence of multiple drinking decision incentives.

Indexed as

Decision MakingMobile ApplicationsAffectAlcohol DrinkingAlcoholismEcological Momentary AssessmentFemaleHumansMaleMedical RecordsMotivationSelf ReportSocial BehaviorYoung Adultalcohol problemsalcohol usedaily diarydecision makingecological momentary assessment

Identifiers

PMID34806196
PMCPMC8799506
OpenAlexW3214798592

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.