Evidence map›Paper›PMID 31999792›Full record

ArticlePloS one2020

National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates.

Roberta Mendes Abreu Silva, Amanda Cristina de Souza Andrade, Waleska Teixeira Caiaffa, Danielle Souto de Medeiros, Vanessa Moraes Bezerra

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.1field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
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  10. Using Multilevel Regression and Poststratification to Estimate Physical Activity Levels from Health Surveys.International journal of environmental research and public health · 2021
    Article
  11. Article
  12. Cancer Prevention: Knowledge, Attitudes and Lifestyle Cancer-Related Behaviors among Adolescents in Italy.International journal of environmental research and public health · 2020
    Article
  13. Article
  14. Assessing the Mental Health of Brazilian Students Involved in Risky Behaviors.International journal of environmental research and public health · 2020
    Article
  15. 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 at 2 institutions in 1 country.

Roberta Mendes Abreu SilvaMultidisciplinary Institute in Health, Anísio Teixeira Campus, Federal University of Bahia, Vitória da Conquista, Bahia, Brazil.ORCID 0000-0001-5057-1643
Amanda Cristina de Souza AndradeFederal University of de Mato Grosso, Cuiabá, Mato Grosso, Brazil.
Waleska Teixeira CaiaffaFaculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Danielle Souto de MedeirosMultidisciplinary Institute in Health, Anísio Teixeira Campus, Federal University of Bahia, Vitória da Conquista, Bahia, Brazil.
Vanessa Moraes BezerraMultidisciplinary Institute in Health, Anísio Teixeira Campus, Federal University of Bahia, Vitória da Conquista, Bahia, Brazil.
Universidade Federal da Bahia · BRUniversidade Federal de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the association between sedentary behavior (SB) and sociodemographic, social support, behavioral, and health variables among Brazilian adolescents.

methodsThe 2015 National Adolescent School-based Health Survey (PeNSE) was a cross-sectional study consisting of 102,072 Brazilian ninth-graders (mainly aged 13-15 years). SB was defined as the time (in hours) watching television, using a computer, playing video games, talking to friends, or doing other activities in a sitting position. For analysis purposes, SB was categorized into different cut-offs as per the sample distribution quartiles: >2 versus <2 (25th percentile); >4 versus <4 (50th 26 percentile) and >6 versus <6 (75th 27 percentile). We employed Poisson univariate and multivariate regression analyses with robust variance and hierarchical entry of variables for each cut-off point.

resultsThe prevalence rates of each SB cut-off point were 68.15% (CI: 67.44-68.86), 44.15% (CI: 43.40-44.90) and 24.97% (CI:24.37-25.57) for >2, >4 and >6 hours, respectively. The following characteristics were positively and significantly associated with each SB cut-off point in the final models: females, current employment, higher household economic status and higher maternal schooling, lower levels of parents checking homework, tobacco and alcohol use, soft drink and fruit consumption, and regular, poor or very poor self-assessed health status. Conversely, students who self-declared brown were less likely to be classified as a SB cut-off point. Significant associations with age, report of close friends, and physical activity varied by different SB cut-off points.

conclusionUnderstanding the SB correlates in their different dimensions contributes to the identification of subgroups of adolescents with higher SB prevalence, which is crucial in the development and improvement of public policies. The demographic and behavioral characterization of these groups can guide the development of future intervention strategies, considering the school and family contexts of these adolescents.

Indexed as

Adolescent HealthSedentary BehaviorAdolescentAdolescent BehaviorBrazilCross-Sectional StudiesFemaleHealth SurveysHumansMaleSocial SupportSocioeconomic Factors

Identifiers

PMID31999792
PMCPMC6991995
OpenAlexW3004305150

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.