Evidence map›Paper›PMID 32569320›Full record

ArticlePloS one2020

Behavioral classes related to physical activity and sedentary behavior on the evaluation of health and mental outcomes among Brazilian adolescents.

Fernanda Rocha de Faria, Valter Paulo Neves Miranda, Cheryl A Howe, Jeffer Eidi Sasaki, Paulo Roberto Dos Santos Amorim

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 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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 3 institutions in 2 countries.

Fernanda Rocha de FariaDepartment of Physical Education, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.ORCID 0000-0003-1495-1395
Valter Paulo Neves MirandaDepartment of Physical Education, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.
Cheryl A HoweSchool of Applied Health Sciences and Wellness, Ohio University, Athens, Ohio, United States of America.
Jeffer Eidi SasakiDepartment of Sports Science, Federal University of Triângulo Mineiro, Uberaba, Minas Gerais, Brazil.ORCID 0000-0002-2083-4104
Paulo Roberto Dos Santos AmorimDepartment of Physical Education, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.
Universidade Federal de Viçosa · BROhio University · USUniversidade Federal do Triângulo Mineiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Latent Class Analysis can assist researchers interested in a better understanding of behavioral patterns and their association with health outcomes. This study aimed to identify lifestyle latent classes related to distinct domains of physical activity (PA) and sedentary behavior (SB) among adolescents and their association with health outcomes. This cross-sectional study included 217 Brazilian adolescents (15 to 18 years old, 49.3% female). The classes were based on moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), number of steps, sedentary behavior (SB), and screen time (ST). To assess these behaviors, participants wore an accelerometer for one week. ST, demographic characteristics, socioeconomic status, and signs of common mental disorders (CMD) were evaluated through questionnaires. Latent Class Analysis was used to identify lifestyle classes. Three classes were recognized: "Active-Non-sedentary" (class 1) with 28.1% of adolescents; "Inactive-Non-sedentary" (class 2), 48.85%; and "Inactive-Sedentary" (class 3), 23.04%. Sex and signs of CMD were associated with the prevalence of the classes. Female adolescents presented 4.48 (95% CI 2.04-9.77) times more chance of belonging to the "Inactive-Sedentary" (class 3). Adolescents who presented CMD had 11.35 (95% CI 3.45-101.1) times more chance of belonging to the "Inactive-Non-sedentary" (class 2). The interaction between sex and signs of CMD showed that girls with signs of CMD were 9.20 (95% CI 1.17-71.52) more likely to belong to the Inactive-Sedentary class than the "Active-Non-sedentary". Results indicate that sex and signs of CMD can affect the prevalence of the classes. Our findings highlight that physical inactivity and SB can be associated with signs of CMD, especially in female adolescents.

Indexed as

Adolescent BehaviorExerciseSedentary BehaviorAccelerometryAdolescentBrazilCross-Sectional StudiesFemaleHealth BehaviorHumansLatent Class AnalysisLife StyleMaleMental DisordersPrevalenceRisk Factors

Identifiers

PMID32569320
PMCPMC7307735
OpenAlexW3036959408

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.