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Correlates of screen-based behaviors among adults from the 2019 Brazilian National Health Survey.
Silva, Danilo R; Collings, Paul; Araujo, Raphael H O; Barboza, Luciana L; Szwarcwald, Célia L; Werneck, André O.
Afiliación
  • Silva DR; Department of Physical Education, Federal University of Sergipe - UFS, Avenida Marechal Rondon, s/no, Rosa Elze, São Cristóvão, SE, CEP 49100-000, Brazil. danilorpsilva@gmail.com.
  • Collings P; Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
  • Araujo RHO; Graduation Program in Health Sciences, Londrina State University, Londrina, Brazil.
  • Barboza LL; Graduation Program in Physical Education, University of Brasília (UnB), Brasília, Brazil.
  • Szwarcwald CL; Instituto de Comunicação e Informação Científica e Tecnológica em Saúde (ICICT), Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.
  • Werneck AO; Center for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo (USP), São Paulo, Brazil.
BMC Public Health ; 21(1): 2289, 2021 12 15.
Article en En | MEDLINE | ID: mdl-34911519
We aimed to investigate correlates of TV viewing and other types of screen-based behaviors in a nationally representative sample of Brazilian adults. In the 2019 Brazilian National Health Survey (including 88,509 adults), TV viewing time and other types of screen behaviors (computer, tablet, and cellphone use) were self-reported and different geographical, sociodemographic, behavioral, and health status factors were investigated as potential correlates. Multinomial logistic regression models were used for the main analyses. Living in capital cities, urban areas, being unemployed, high consumption of soft drinks, obesity, and elevated depressive symptoms were each associated with more TV viewing and more time using other types of screens. There were differential associations between TV viewing and the use of other types of screen across age and socioeconomic variables. For instance, younger adults have a more diverse portfolio of screen time than older adults. To conclude, levels of screen-based behaviors vary by geographical, sociodemographic, behavioral, and health status characteristics. Interventions should focus on high-risk population groups and may benefit from targeting specific sedentary behaviors of interest.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Televisión / Conducta Sedentaria Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Límite: Aged / Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: BMC Public Health Asunto de la revista: SAUDE PUBLICA Año: 2021 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Televisión / Conducta Sedentaria Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Límite: Aged / Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: BMC Public Health Asunto de la revista: SAUDE PUBLICA Año: 2021 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido