Correlates of screen-based behaviors among adults from the 2019 Brazilian National Health Survey

被引:0
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作者
Danilo R. Silva
Paul Collings
Raphael H. O. Araujo
Luciana L. Barboza
Célia L. Szwarcwald
André O. Werneck
机构
[1] Federal University of Sergipe – UFS,Department of Physical Education
[2] Bradford Institute for Health Research,Graduation Program in Health Sciences
[3] Bradford Teaching Hospitals NHS Foundation Trust,Graduation Program in Physical Education
[4] Londrina State University,Center for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health
[5] University of Brasília (UnB),undefined
[6] Instituto de Comunicação e Informação Científica e Tecnológica em Saúde (ICICT),undefined
[7] Fundação Oswaldo Cruz (Fiocruz),undefined
[8] University of São Paulo (USP),undefined
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关键词
Sedentary behavior; Screen time; Television viewing; Adults; Brazil;
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摘要
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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