Association of sex, sexual maturation, age group, economic class, and nutritional status with the different cutoff points of screen time in adolescents
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Saúde Materno Infantil (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292022000200337 |
Resumo: | Abstract Objectives: to estimate the prevalence of adolescents’ screen time in three different scenarios and possible associations with gender, sexual maturation, age group, economic class, and nutritional status. Methods: a cross-sectional study conducted with a representative sample of 3,979 adolescents from Greater Curitiba. Screen time (television, computer, and video game) was self-reported and categorized as ≤2h/day, >2 to ≤4h/day, and >4h/day. Ordinal logistic regression tested the associations. Results: the sample consisted of adolescents of 14.60±1.88 years old, most girls (51.2%). The prevalence of screen time >4h/day was 89.3%. Girls (OR=0.61; CI95%=0.49-0.76) and the older age groups (“14 to 16 years” OR=0.29; CI95%=0.22-0.39, and “17 to 19 years” OR=0.11; CI95%=0.08-0.16) were less likely to be in the groups of higher screen time. Conclusions: screen time above four hours seems to be the most prevalent among adolescents. Older girls and teens are less likely to have higher screen time. |
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Association of sex, sexual maturation, age group, economic class, and nutritional status with the different cutoff points of screen time in adolescentsScreen timeAge groupSocial classNutritional statusAdolescentAbstract Objectives: to estimate the prevalence of adolescents’ screen time in three different scenarios and possible associations with gender, sexual maturation, age group, economic class, and nutritional status. Methods: a cross-sectional study conducted with a representative sample of 3,979 adolescents from Greater Curitiba. Screen time (television, computer, and video game) was self-reported and categorized as ≤2h/day, >2 to ≤4h/day, and >4h/day. Ordinal logistic regression tested the associations. Results: the sample consisted of adolescents of 14.60±1.88 years old, most girls (51.2%). The prevalence of screen time >4h/day was 89.3%. Girls (OR=0.61; CI95%=0.49-0.76) and the older age groups (“14 to 16 years” OR=0.29; CI95%=0.22-0.39, and “17 to 19 years” OR=0.11; CI95%=0.08-0.16) were less likely to be in the groups of higher screen time. Conclusions: screen time above four hours seems to be the most prevalent among adolescents. Older girls and teens are less likely to have higher screen time.Instituto de Medicina Integral Prof. Fernando Figueira2022-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292022000200337Revista Brasileira de Saúde Materno Infantil v.22 n.2 2022reponame:Revista Brasileira de Saúde Materno Infantil (Online)instname:Instituto de Medicina Integral Prof. Fernando Figueira (IMIPFF)instacron:IMIPFF10.1590/1806-9304202200020008info:eu-repo/semantics/openAccessPiola,Thiago SilvaBacil,Eliane Denise AraújoPacífico,Ana BeatrizCampos,Jhonatan GrittenSilva,Michael Pereira daCampos,Wagner deeng2022-08-01T00:00:00Zoai:scielo:S1519-38292022000200337Revistahttp://www.scielo.br/rbsmihttps://old.scielo.br/oai/scielo-oai.php||revista@imip.org.br1806-93041519-3829opendoar:2022-08-01T00:00Revista Brasileira de Saúde Materno Infantil (Online) - Instituto de Medicina Integral Prof. Fernando Figueira (IMIPFF)false |
dc.title.none.fl_str_mv |
Association of sex, sexual maturation, age group, economic class, and nutritional status with the different cutoff points of screen time in adolescents |
title |
Association of sex, sexual maturation, age group, economic class, and nutritional status with the different cutoff points of screen time in adolescents |
spellingShingle |
Association of sex, sexual maturation, age group, economic class, and nutritional status with the different cutoff points of screen time in adolescents Piola,Thiago Silva Screen time Age group Social class Nutritional status Adolescent |
title_short |
Association of sex, sexual maturation, age group, economic class, and nutritional status with the different cutoff points of screen time in adolescents |
title_full |
Association of sex, sexual maturation, age group, economic class, and nutritional status with the different cutoff points of screen time in adolescents |
title_fullStr |
Association of sex, sexual maturation, age group, economic class, and nutritional status with the different cutoff points of screen time in adolescents |
title_full_unstemmed |
Association of sex, sexual maturation, age group, economic class, and nutritional status with the different cutoff points of screen time in adolescents |
title_sort |
Association of sex, sexual maturation, age group, economic class, and nutritional status with the different cutoff points of screen time in adolescents |
author |
Piola,Thiago Silva |
author_facet |
Piola,Thiago Silva Bacil,Eliane Denise Araújo Pacífico,Ana Beatriz Campos,Jhonatan Gritten Silva,Michael Pereira da Campos,Wagner de |
author_role |
author |
author2 |
Bacil,Eliane Denise Araújo Pacífico,Ana Beatriz Campos,Jhonatan Gritten Silva,Michael Pereira da Campos,Wagner de |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Piola,Thiago Silva Bacil,Eliane Denise Araújo Pacífico,Ana Beatriz Campos,Jhonatan Gritten Silva,Michael Pereira da Campos,Wagner de |
dc.subject.por.fl_str_mv |
Screen time Age group Social class Nutritional status Adolescent |
topic |
Screen time Age group Social class Nutritional status Adolescent |
description |
Abstract Objectives: to estimate the prevalence of adolescents’ screen time in three different scenarios and possible associations with gender, sexual maturation, age group, economic class, and nutritional status. Methods: a cross-sectional study conducted with a representative sample of 3,979 adolescents from Greater Curitiba. Screen time (television, computer, and video game) was self-reported and categorized as ≤2h/day, >2 to ≤4h/day, and >4h/day. Ordinal logistic regression tested the associations. Results: the sample consisted of adolescents of 14.60±1.88 years old, most girls (51.2%). The prevalence of screen time >4h/day was 89.3%. Girls (OR=0.61; CI95%=0.49-0.76) and the older age groups (“14 to 16 years” OR=0.29; CI95%=0.22-0.39, and “17 to 19 years” OR=0.11; CI95%=0.08-0.16) were less likely to be in the groups of higher screen time. Conclusions: screen time above four hours seems to be the most prevalent among adolescents. Older girls and teens are less likely to have higher screen time. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292022000200337 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292022000200337 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1806-9304202200020008 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto de Medicina Integral Prof. Fernando Figueira |
publisher.none.fl_str_mv |
Instituto de Medicina Integral Prof. Fernando Figueira |
dc.source.none.fl_str_mv |
Revista Brasileira de Saúde Materno Infantil v.22 n.2 2022 reponame:Revista Brasileira de Saúde Materno Infantil (Online) instname:Instituto de Medicina Integral Prof. Fernando Figueira (IMIPFF) instacron:IMIPFF |
instname_str |
Instituto de Medicina Integral Prof. Fernando Figueira (IMIPFF) |
instacron_str |
IMIPFF |
institution |
IMIPFF |
reponame_str |
Revista Brasileira de Saúde Materno Infantil (Online) |
collection |
Revista Brasileira de Saúde Materno Infantil (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Saúde Materno Infantil (Online) - Instituto de Medicina Integral Prof. Fernando Figueira (IMIPFF) |
repository.mail.fl_str_mv |
||revista@imip.org.br |
_version_ |
1752129930924130304 |