Evidence map›Paper›PMID 29938239›Full record

ArticleJournal of preventive medicine and hygiene2018

A screening focusing on aftereffects of alcohol consumption in a student population. A National cross-sectional survey.

J Hazart, M Blanquet, A Debost-Legrand, A Perreve, S Leger, V Martoia, S Maurice, G Brousse, L Gerbaud

Abstract readMulticenter Study
In one paragraph

Article in Journal of preventive medicine and hygiene, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

J HazartService de Santé Publique, CHU de Clermont-Ferrand, 63058 Clermont-Ferrand CEDEX 1 France.
M BlanquetService de Santé Publique, CHU de Clermont-Ferrand, 63058 Clermont-Ferrand CEDEX 1 France.
A Debost-LegrandUniversité Clermont Auvergne, CNRS-UMR 6602, Institut Pascal, Axe TGI, Groupe PEPRADE, 63 000 Clermont-Ferrand, France.
A PerreveService de Santé Universitaire, 63000 Clermont-Ferrand.
S LegerUniversité Clermont Auvergne, Université Blaise Pascal, Laboratoire de Mathématiques BP 10448 F-63000, Clermont-Ferrand, France.
V MartoiaCentre de santé interuniversitaire, Université Grenoble Alpes, 38400 Saint Martin d'Hères, France.
S MauriceISPED, Université de Bordeaux, 33076 Bordeaux CEDEX.
G BrousseService Psychiatrie et Addictologie de l'Adulte CMP B, CHU de Clermont-Ferrand, Clermont-Ferrand, France.
L GerbaudService de Santé Publique, CHU de Clermont-Ferrand, 63058 Clermont-Ferrand CEDEX 1 France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionStudents overestimate alcohol consumption of those around them and underestimate their own, so that quantitative approach may not be the most relevant to assess students' drinking. The main objective was to provide an appropriate tool for screening for students with potential drinking problems.

methodsA multicentre cross-sectional survey was conducted by internet between February and June, 2013 in France. Thirteen questions explored alcohol consumption, including 8 concerning after-effects of drinking episodes (4 items of the AUDIT) and alcohol behaviour (CAGE test). A multiple correspondence analysis (MCA) was conducted to identify profiles of student's alcohol consumption. Partitioning methods were used to group students by mode of alcohol use. The most relevant items included in the MCA were identified. Three questions were identified as most pertinent among the students with potential drinking problems and ranked by a decision tree with the Chi-square Automatic Interaction Detector method. Finally, we assessed the generalisation of the model.

resultsA total of 36,427 students participated in the survey: 25,679 were women (70.5% of respondents), sex ratio 0.42 and mean aged 21.2 (sd 3.7 years). Among those who had experimented with alcohol (N = 33,113), three consumption profiles were identified: "simple/non-use" (66.9%), "intermediate consumption" (25.9%) and "problem drinking" (7.2%). For the latter group, the three most relevant items were (Q20) "not able to stop drinking after starting", (Q21) "failed to do what was normally expected", and (Q23) "unable to remember what happened the night before".

conclusionsThese results provide healthcare professionals with a 3-item screening tool for students "problem drinking".

Indexed as

StudentsAlcohol DrinkingAlcoholismCross-Sectional StudiesFemaleFranceHealth SurveysHumansMaleYoung AdultAlcohol drinkingAlcohol misuseCollege studentsPreventionScreening tool

Identifiers

PMID29938239
PMCPMC6009072

What OpenQuestion holds

Textmetadata
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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.