Evidence map›Paper›PMID 36966307›Full record

ArticleBMC public health2023

Clustering of physical activity, sedentary behavior, and diet associated with social isolation among brazilian adolescents.

Thiago Sousa Matias, Julianne Fic Alves, Gislaine Terezinha Amaral Nienov, MarcusVinicius Veber Lopes, Diego Itibere Cunha Vasconcellos

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Article in BMC public health, 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

5 authors.

Thiago Sousa MatiasDepartment of Physical Education, Federal University of Santa Catarina, Florianópolis, 88040-900, Brazil. thiago.matias@ufsc.br.
Julianne Fic AlvesDepartment of Physical Education, Federal University of Santa Catarina, Florianópolis, 88040-900, Brazil.
Gislaine Terezinha Amaral NienovDepartment of Physical Education, Federal University of Santa Catarina, Florianópolis, 88040-900, Brazil.
MarcusVinicius Veber LopesDepartment of Physical Education, Federal University of Santa Catarina, Florianópolis, 88040-900, Brazil.
Diego Itibere Cunha VasconcellosInstitute for Positive Psychology and Education, Australian Catholic University, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgoundAlthough obesogenic behaviors have been found to be related to social isolation, evidence-based person-centered approaches are lacking. This study investigated the association between clusters of obesogenic behavior - derived from a data-driven process - and social isolation among Brazilian adolescents.

methodsData from the National Adolescent School-based Health Survey (PeNSE) 2015 were analyzed. A total of 100,794 9

resultsThree clusters were identified. Adolescents in the "Health-promoting SB and diet" (32.6%; OR = 0.69; 95% CI = 0.62-0.76) and "Health-promoting PA and diet" (44.9%; OR = 0.73; 95% CI = 0.67-0.79) clusters had lower odds of loneliness compared to those in the "Health-risk" cluster (22.5%). Those belonging to the "Health-promoting PA and diet" cluster were more likely to report having close friends (OR = 1.19; 95% CI = 1.00-1.41) than those in the "Health-risk" cluster.

conclusionAdolescents in clusters where positive behaviors outweighed negative ones were less likely to perceive themselves as lonely and without close connections.

Indexed as

Adolescent BehaviorSedentary BehaviorAdolescentBrazilCluster AnalysisDietExerciseFemaleHumansMaleSocial IsolationHealth SurveysHealthy LifestyleLonelinessMental HealthMotor Activity

Identifiers

PMID36966307
PMCPMC10039485

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Textfull text, public
LicenceCC BY
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measurements read24
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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.