Evidence map›Paper›PMID 32730058›Full record

ArticleExperimental and clinical psychopharmacology2021

Statistically derived patterns of behavioral economic risk among heavy-drinking college students: A latent profile analysis.

Kevin W Campbell, Andrew T Voss, Samuel F Acuff, Kinsey Pebley, Kristoffer S Berlin, Matthew P Martens, Brian Borsari, Ashley A Dennhardt, James G Murphy

Abstract read
In one paragraph

Article in Experimental and clinical psychopharmacology, 2021. 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.

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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

9 authors.

Kevin W CampbellDepartment of Psychology.
Andrew T VossDepartment of Psychology.
Samuel F AcuffDepartment of Psychology.
Kinsey PebleyDepartment of Psychology.ORCID 0000-0002-7497-6247
Kristoffer S BerlinDepartment of Psychology.
Matthew P MartensDepartment of Educational, School, and Counseling Psychology.
Brian BorsariMental Health Service San Francisco VA Health Care System.
Ashley A DennhardtDepartment of Psychology.ORCID 0000-0002-1905-4899
James G MurphyDepartment of Psychology.

Funding

Improving brief alcohol interventions with a behavioral economic supplementR01AA020829 · NIAAA · UNIVERSITY OF MEMPHIS · PI MURPHY, JAMES G. · 2012 to 2016
$2.6M
NIAAA NIH HHS R01 AA020829
6 · The paper itself

Abstract

High levels of 3 behavioral economic indices (delay discounting, alcohol demand, and proportionate substance-related reinforcement) are consistently associated with greater alcohol misuse and alcohol-related problems. However, it is unclear whether and how these variables jointly increase the risk for alcohol-related outcomes among college students who engage in heavy episodic drinking (HED; 4/5+ drinks for women/men, respectively). The current study used a person-centered approach to identify similar patterns of behavioral economic domains among heavy-drinking college students and investigate the relationship between these empirically derived classes and alcohol-related outcomes. A sample of 393 college students (60.8% female, 78.9% White/Caucasian) reporting at least 2 heavy drinking episodes in the previous month completed measures of alcohol use and problems, demographics, delay discounting, and alcohol reward value (alcohol demand and proportionate substance-related reinforcement). Latent profile analyses revealed that a 3-class solution provided the best fit to the data: a low reward value, high discounting (LRHD) class (

Indexed as

Alcohol Drinking in CollegeEconomics, BehavioralAdolescentAlcohol DrinkingAlcoholismAlcohol-Related DisordersFemaleHumansMaleReinforcement, PsychologyRewardStudentsUniversitiesYoung Adult

Identifiers

PMID32730058
PMCPMC8409244

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.