Evidence map›Paper›PMID 31954948›Full record

ArticleDrug and alcohol dependence2020

Alcohol demand assessed daily: Validity, variability, and the influence of drinking-related consequences.

Jennifer E Merrill, Elizabeth R Aston

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. An experimental investigation into the effect of negative affect on the behavioral economic demand for alcohol.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
    Article
  8. Review
  9. Article
  10. 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
  11. Article
  12. Observational
  13. Craving, stimulation, and sedation as predictors of alcohol demand under intoxication.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022
    Article
  14. Article
  15. Qualitative examination of simultaneous alcohol and cannabis use reasons, evaluations, and patterns among heavy drinking young adults.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2021
    Article
  16. Do alcohol-related consequences and how they are evaluated predict consumption during and days until the next drinking event?Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2021
    Article
  17. Article
  18. Article
  19. 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

2 authors.

Jennifer E MerrillCenter for Alcohol and Addiction Studies, Brown University, Box G-S121-5, Providence RI 02912, United States. Electronic address: Jennifer_Merrill@brown.edu.
Elizabeth R AstonCenter for Alcohol and Addiction Studies, Brown University, Box G-S121-5, Providence, RI 02912, United States. Electronic address: Elizabeth_Aston@brown.edu.

Funding

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 L30 AA022503NIDA NIH HHS K01 DA039311
6 · The paper itself

Abstract

backgroundAlcohol demand, typically assessed at the trait-level, via single administration, reflects individualized alcohol value. We examined correspondence between baseline trait-level and daily brief measures of alcohol demand, and whether demand changes day-to-day in response to recent drinking-related consequences. Understanding whether consequences influence demand fluctuations may provide insight into when demand can be reduced in the context of intervention.

methodsHeavy drinking college students (n = 95, age 18-20, 52% female) completed a baseline 14-item alcohol purchase task (APT). Observed demand indices were: intensity (consumption at zero cost), O

resultsIntraclass correlations revealed within-person variability (i.e., day-to-day change) across daily demand indices. In hierarchical linear models (HLM), each daily demand index was significantly predicted by its corresponding baseline full APT index, when all three baseline indices were entered, suggesting convergent validity of the daily measure. Lower day-level intensity was predicted by more prior day negative consequences, controlling for several day- and person-level variables in HLM. Recent positive consequences did not impact intensity, and daily O

conclusionsAPT indices collected daily map on well to traditional single-administration APT metrics and change in response to recent consequences. Intensity demonstrated the greatest within-person variability, the strongest association with its corresponding full APT index, and theoretically-consistent prediction by negative consequences of drinking.

Indexed as

Consumer BehaviorEconomics, BehavioralUniversitiesAdolescentAlcohol DrinkingAlcohol Drinking in CollegeFemaleHumansMaleReproducibility of ResultsYoung AdultAlcohol consequencesAlcohol demandAlcohol purchase taskBehavioral economicsCollege studentsDaily assessment

Identifiers

PMID31954948
PMCPMC7050944

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Registered trials

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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.