Evidence map›Paper›PMID 37529316›Full record

ArticleFrontiers in psychology2023

A new statistical model for binge drinking pattern classification in college-student populations.

Judith André, Momar Diouf, Margaret P Martinetti, Olivia Ortelli, Fabien Gierski, Frederic Fürst, Olivier Pierrefiche, Mickael Naassila

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Judith AndréINSERM UMR 1247, Groupe de Recherche sur l'alcool et les Pharmacodépendances, GRAP, Université Picardie Jules Verne, Amiens, France.
Momar DioufBiostatistics Unit, Clinical Research Department, Amiens-Picardie University Hospital, Amiens, France.
Margaret P MartinettiINSERM UMR 1247, Groupe de Recherche sur l'alcool et les Pharmacodépendances, GRAP, Université Picardie Jules Verne, Amiens, France.
Olivia OrtelliDepartment of Psychology, The College of New Jersey, Ewing, NJ, United States.
Fabien GierskiINSERM UMR 1247, Groupe de Recherche sur l'alcool et les Pharmacodépendances, GRAP, Université Picardie Jules Verne, Amiens, France.
Frederic FürstLaboratoire MIS (Modélisation, Information et Système) UR 4290, Université Picardie Jules Verne, Amiens, France.
Olivier PierreficheINSERM UMR 1247, Groupe de Recherche sur l'alcool et les Pharmacodépendances, GRAP, Université Picardie Jules Verne, Amiens, France.
Mickael NaassilaINSERM UMR 1247, Groupe de Recherche sur l'alcool et les Pharmacodépendances, GRAP, Université Picardie Jules Verne, Amiens, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Binge drinking (BD) among students is a frequent alcohol consumption pattern that produces adverse consequences. A widely discussed difficulty in the scientific community is defining and characterizing BD patterns. This study aimed to find homogenous drinking groups and then provide a new tool, based on a model that includes several key factors of BD, to assess the severity of BD regardless of the individual's gender. Methods: Using the learning sample (N1 = 1,271), a Results: The Conclusion: Our model reveals a progressive severity in the drinking pattern and its consequences and may better characterize binge drinking among university student samples. This model provides a new tool for assessing the severity of binge drinking and illustrates that frequency of drinking behavior and particularly drunkenness are central features of a binge drinking model.

Indexed as

alcoholbinge drinkingclassification toolcollege studentsdrunkennessgenderhigh-intensity binge drinking

Identifiers

PMID37529316
PMCPMC10390312

What OpenQuestion holds

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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.