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

Autor(es)

Silva, Danilo R. ^[1] ; Collings, Paul ^[2] ; Araujo, Raphael H. O. ^[3] ; Barboza, Luciana L. ^[4] ; Szwarcwald, Celia L. ^[5] ; Werneck, Andre O. ^[6]

Afiliação do(s) autor(es)

^[1] Fed Univ Sergipe UFS, Dept Phys Educ, Ave Marechal Rondon S-N, BR-49100000 Sao Cristovao, SE - Brazil

^[2] Bradford Teaching Hosp NHS Fdn Trust, Bradford Inst Hlth Res, Bradford, W Yorkshire - England

^[3] Univ Estadual Londrina, Graduat Program Hlth Sci, Londrina, Parana - Brazil

^[4] Univ Brasilia UnB, Graduat Program Phys Educ, Brasilia, DF - Brazil

^[5] Fundacao Oswaldo Cruz Fiocruz, Inst Comunicacao Informacao Cient Tecnol Saude IC, Rio De Janeiro - Brazil

^[6] Univ Sao Paulo, Sch Publ Hlth, Dept Nutr, Ctr Epidemiol Res Nutr & Hlth, Sao Paulo - Brazil

• Tipo de documento: Artigo Científico
• Fonte: BMC PUBLIC HEALTH; v. 21, n. 1 DEC 15 2021.
• Citações Web of Science: 0

Resumo

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. (AU)

• Processo FAPESP: 19/24124-7 - Associação prospectiva do consumo de alimentos ultraprocessados e inatividade física na predição de sintomas depressivos em adultos
• Beneficiário: André de Oliveira Werneck
• Modalidade de apoio: Bolsas no Brasil - Doutorado