Evidence map›Paper›PMID 23552993›Full record

ArticleInternational journal of public health2014

Changes in television viewing and computers/videogames use among high school students in Southern Brazil between 2001 and 2011.

Kelly Samara Silva, Adair da Silva Lopes, Samuel Carvalho Dumith, Leandro Martin Totaro Garcia, Jorge Bezerra, Markus Vinicius Nahas

Abstract read
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In one paragraph

Article in International journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
13.2field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Obesogenic Clusters Associated with Weight Status in Brazilian Adolescents of theInternational journal of environmental research and public health · 2021
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  10. [Prevalence of excessive screen time and associated factors in adolescents].Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2015
    Article
  11. Metabolic risk and television time in adolescent females.International journal of public health · 2015
    Article
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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.

Kelly Samara SilvaPost-Graduate Program in Physical Education, Federal University of Santa Catarina, Rua Antonio Francisco da Silveira, 140, AP. 305. Pantanal, Florianópolis, SC, CEP 88040-160, Brazil, kelly.samara@ufsc.br.
Adair da Silva Lopes
Samuel Carvalho Dumith
Leandro Martin Totaro Garcia
Jorge Bezerra
Markus Vinicius Nahas
Universidade Federal de Santa Catarina · BRUniversidade de São Paulo · BRUniversidade Federal do Rio Grande · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo compare the prevalence of television (TV) watching and of computer/videogame use among high school students (15-19 years) from Southern Brazil between 2001 and 2011 and to identify associated socio-demographic factors.

methodsPanel studies were conducted with high school students in the state of Santa Catarina, Brazil, in 2001 (n = 5,028) and 2011 (n = 6,529). TV watching and computer/videogame use were collected using questionnaires.

resultsPrevalence of ≥2 h/day of TV watching dropped from 76.8 to 61.5 % and ≥2 h/day of computer/videogame use increased from 37.9 to 60.6 %. In both surveys, those aged 15-16 and those who did not work had higher likelihoods of being exposed to ≥2 h/day of TV watching. Boys, those with higher family income, and those who were living in urban areas had higher likelihoods of ≥2 h/day of computer/videogame use. Older age, studying at night and not working were protective factors to these behaviors.

conclusionsAfter a decade, there was a decrease in the prevalence of TV viewing and an increase in computer/videogame use. Socio-demographic factors were differently associated with these behaviors.

Indexed as

Adolescent BehaviorAdolescentBrazilComputersConfidence IntervalsFemaleHumansMaleSedentary BehaviorSurveys and QuestionnairesTelevisionVideo GamesYoung Adult

Identifiers

PMID23552993
OpenAlexW2074630379

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.