Evidence map›Paper›PMID 35272723›Full record

ArticlePublic health nutrition2023

Behavioural risk patterns in adolescents with excess weight participating in the PRALIMAP-INÈS trial.

Chantal Julia, Abdou Omorou, Edith Lecomte, Johanne Langlois, Mathilde Touvier, Serge Hercberg, Serge Briançon, Emmanuelle Kesse-Guyot, Francis Guillemin, PRALIMAP-INÈS Trial Group

Abstract read
In one paragraph

Article in Public health nutrition, 2023. 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

10 authors.

Chantal JuliaSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France.ORCID 0000-0003-2006-5269
Abdou OmorouUniversity of Lorraine, EA 4360 APEMAC, Nancy, France.
Edith LecomteNational Conservatory of Arts and Crafts, Nancy, France.
Johanne LangloisNational Conservatory of Arts and Crafts, Nancy, France.
Mathilde TouvierSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France.
Serge HercbergSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France.
Serge BriançonUniversity of Lorraine, EA 4360 APEMAC, Nancy, France.ORCID 0000-0002-2188-0997
Emmanuelle Kesse-GuyotSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France.
Francis GuilleminUniversity of Lorraine, EA 4360 APEMAC, Nancy, France.
PRALIMAP-INÈS Trial Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate clustering of risk behaviours in adolescents with excess weight.

designCross-sectional analysis of baseline data from the PRALIMAP-INÈS trial. Information on food frequency consumption (fruit, vegetables, sugary products and beverages), physical activity, sedentary behaviour (week and weekend days), smoking and alcohol consumption (current frequency and intoxication episodes) and socio-demographic data was collected using self-reported questionnaires. Behavioural risk factors were entered as categorical variables in a two-step clustering procedure: multiple correspondence analysis followed by hierarchical clustering. Associations between cluster membership and socio-demographic variables were investigated using multivariable multinomial logistic regression.

settingFrench PRALIMAP-INÈS trial.

participantsAdolescents with excess weight.

resultsA total of 1391 participants (13-18 years old, 58·2 % female) were included in the analysis, which resulted in the identification of four groups of participants, including, respectively, 543 (39·0 %), 373 (26·8 %), 246 (17·7 %) and 229 (16·5 %) participants. Clusters 1 and 4 showed associations of rather healthy behaviours (high physical activity and low consumption of sugary products; high consumption of fruit and vegetables, respectively), while clusters 2 and 3 showed associations of rather unhealthy behaviours (high sedentary behaviour and low consumption of fruit and vegetables; smoking and alcohol consumption, respectively). Both social status and family structure were associated with cluster membership.

conclusionsRisk behaviour patterns in adolescents with excess weight were clustered in both healthier and less healthy ways, with a complex interplay with socio-demographic factors.

Indexed as

ExerciseHealth BehaviorAdolescentCross-Sectional StudiesFeeding BehaviorFemaleHumansMaleRisk FactorsRisk-TakingVegetablesWeight GainAddictive behaviourAdolescentsDietary patternsObesityOverweight

Identifiers

PMID35272723
PMCPMC11077442

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.