Evidence map›Paper›PMID 33993399›Full record

ArticleEuropean journal of pediatrics2021

Association between sociodemographic, dietary, and substance use factors and accelerometer-measured 24-hour movement behaviours in Brazilian adolescents.

Bruno Gonçalves Galdino da Costa, Jean-Philippe Chaput, Marcus Vinicius Veber Lopes, Anelise Reis Gaya, Diego Augusto Santos Silva, Kelly Samara Silva

Abstract read
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In one paragraph

Article in European journal of pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Bruno Gonçalves Galdino da CostaNúcleo de Pesquisa em Atividade Física e Saúde, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil. bruno.g.costa@posgrad.ufsc.br.ORCID http://orcid.org/0000-0002-5132-1512
Jean-Philippe ChaputHealthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada.ORCID https://orcid.org/0000-0002-5607-5736
Marcus Vinicius Veber LopesNúcleo de Pesquisa em Atividade Física e Saúde, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil.ORCID https://orcid.org/0000-0002-7968-5211
Anelise Reis GayaProjeto Esporte Brasil, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil.ORCID https://orcid.org/0000-0002-8335-6947
Diego Augusto Santos SilvaNúcleo de Pesquisa em Cineantropometria e Desempenho Humano, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil.ORCID https://orcid.org/0000-0002-0489-7906
Kelly Samara SilvaNúcleo de Pesquisa em Atividade Física e Saúde, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil.ORCID https://orcid.org/0000-0002-7356-1680
Children's Hospital of Eastern Ontario · CAUniversidade Federal de Santa Catarina · BRUniversidade Federal do Rio Grande do Sul · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 406258/2018-0
6 · The paper itself

Abstract

Sociodemographic factors and lifestyle behaviours were evidenced as correlates of self-reported 24-hour movement behaviours in high-income settings. However, it is unclear how these relations occur in a middle-income country setting, with unique cultural and social characteristics. This study aimed to examine the association between sociodemographic, dietary, and substance use factors with accelerometer-measured 24-hour movement behaviours in Brazilian adolescents. Information on sex, age, socioeconomic status (SES), family structure, dietary behaviours, and history of substance use were collected by a questionnaire. Sleep duration, sedentary behaviour, and light- and moderate-to-vigorous physical activity (LPA and MVPA) were measured using wrist-worn accelerometers. On average, females slept more (β = 21.09, 95%CI 13.18; 28.98), engaged in more LPA (β = 17.60, 95%CI 8.50; 27.13), and engaged in less sedentary behaviour (β = -16.82, 95%CI -30.01; -4.30) and MVPA (β = -4.76, 95%CI -7.48; -1.96) than males. Age and sedentary behaviour were positively associated (β = 8.60, 95%CI 2.53; 14.64). Unprocessed foods were positively related to LPA (β = 2.21, 95%CI 0.55; 3.92), whereas processed foods were positively related to sedentary behaviour (β = 3.73, 95%CI 0.03; 7.38) and inversely related to MVPA (β = -0.89, 95%CI -1.68; -0.10). Family structure, SES, and substance use factors were not significantly associated with any 24-hour movement behaviour.Conclusions: Sex, age, and dietary behaviours, unlike SES or substance use, were associated with 24-hour movement behaviours in this sample of Brazilian adolescents and are important factors to consider in interventions, policies, and practice. What is Known: • The 24-hour movement behaviours are composed of sleep, sedentary behaviour, and physical activity and are important determinants of health. • Most adolescents do not engage in adequate levels of physical activity, sedentary behaviour, and sleep, and there is a need to better understand factors related to these behaviours. What is New: • Sex, age, and dietary behaviours were associated with the 24-hour movement behaviours. • No associations were found between socioeconomic status and substance use with the 24-hour movement behaviours.

Indexed as

Sedentary BehaviorSubstance-Related DisordersAccelerometryAdolescentCross-Sectional StudiesDietExerciseFemaleHumansMalePhysical activity, Sedentary behaviour, Sleep, Public health, Accelerometery

Identifiers

PMID33993399
OpenAlexW3161822683

What OpenQuestion holds

Textmetadata
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.