Evidence map›Paper›PMID 34843115›Full record

ArticleAlcoholism, clinical and experimental research2021

Associations between alcohol demand and both the experience and subjective evaluation of positive and negative alcohol-related consequences.

Elizabeth R Aston, Benjamin L Berey, Holly K Boyle, Benjamin Riordan, Jennifer E Merrill

Abstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Alcohol demand assessed daily as a predictor of same day drinking.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
    Article
  7. 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

5 authors.

Elizabeth R AstonDepartment of Behavioral and Social Sciences, Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, Rhode Island, USA.ORCID 0000-0001-6965-318X
Benjamin L BereyDepartment of Behavioral and Social Sciences, Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, Rhode Island, USA.ORCID 0000-0002-7979-2156
Holly K BoyleDepartment of Behavioral and Social Sciences, Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, Rhode Island, USA.ORCID 0000-0001-7345-3658
Benjamin RiordanCentre for Alcohol Policy Research, La Trobe University, Melbourne, Victoria, Australia.ORCID 0000-0002-7805-0652
Jennifer E MerrillDepartment of Behavioral and Social Sciences, Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, Rhode Island, USA.ORCID 0000-0002-8310-140X

Funding

ALCOHOL INTERVENTION/TREATMENT OUTCOME RESEARCH TRAININGT32AA007459 · NIAAA · BROWN UNIVERSITY · PI ROBERT MIRANDA, PETER M. MONTI · 1986 to 2026
$13.3M
Real-Time Evaluations of Alcohol Consequences and Subsequent DrinkingK01AA022938 · NIAAA · BROWN UNIVERSITY · PI MERRILL, JENNIFER ELIZABETH · 2014 to 2018
$904k
Behavioral Economic Analysis of Demand for MarijuanaK01DA039311 · NIDA · BROWN UNIVERSITY · PI ASTON, ELIZABETH · 2015 to 2019
$902k
NIAAA NIH HHS K01 AA022938NIAAA NIH HHS T32 AA007459NIDA NIH HHS K01 DA039311
6 · The paper itself

Abstract

backgroundConsiderable variation exists in the extent to which alcohol-related consequences are evaluated as positive or negative. These evaluations, in turn, predict subsequent drinking behavior. Understanding the etiological pathways to positive and negative alcohol-related consequences is essential to the design of interventions aimed at reducing drinking consequences. Behavioral economic models posit that excessive alcohol valuation contributes to problematic use. Elevated alcohol demand (i.e., relative alcohol value) is associated with negative alcohol-related consequences; however, it is unclear whether demand is related to positive consequences or subjective consequence evaluations.

methodsCollege student drinkers (n = 114; 74.6% female) completed an online survey. Participants indicated whether they had ever experienced any of 24 negative and 14 positive consequences and subjectively evaluated their most recent experience of each consequence endorsed. An alcohol purchase task assessed hypothetical alcohol consumption across 14 prices and three observed demand indices were calculated: intensity (i.e., consumption at zero cost), O

resultsIntensity and O

conclusionStudents with higher intensity reported more prior alcohol consequences (positive and negative), independent of drinking level. However, subjective evaluations of recent consequences did not vary as a function of demand. Results support using behavioral economic models to facilitate identifying etiologic pathways to alcohol consequences and suggest that novel interventions incorporating demand manipulation may reduce drinking consequences.

Indexed as

MotivationAdolescentAlcohol DrinkingAlcohol Drinking in CollegeFemaleHealth BehaviorHumansMaleStudentsYoung Adultalcohol-related consequencesbehavioral economicsconsequence evaluationsdemand

Identifiers

PMID34843115
PMCPMC8642271

What OpenQuestion holds

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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.