TY - JOUR
T1 - Patterns of Screen Time From Ages 2 to 6–7 Years in South Brazil
T2 - A Prospective Study
AU - Amaral de Andrade Leão, Otávio
AU - Flores, Thaynã Ramos
AU - de Oliveira Nava, Daniela
AU - Soares, Pedro San Martin
AU - Murray, Joseph
AU - Domingues, Marlos Rodrigues
AU - Hallal, Pedro Curi
N1 - This article is based on data from the study \u201CPelotas Birth Cohort, 2015\u201D conducted by the Postgraduate Program in Epidemiology at Universidade Federal de Pelotas, with the collaboration of the Brazilian Public Health Association (ABRASCO). The first phases of the 2015 Pelotas (Brazil) Birth Cohort were funded by the Wellcome Trust (095582). Funding for specific follow\u2010up visits was also received from the Conselho Nacional de Desenvolvimento Cient\u00EDfico e Tecnol\u00F3gico (CNPq) and Funda\u00E7\u00E3o de Amparo a Pesquisa do Estado do Rio Grande do Sul (FAPERGS) and Children's Pastorate sponsored follow\u2010up at 24\u2009months and FAPERGS \u2013 PPSUS, the Wellcome Trust and FAPERGS \u2013 PPSUS and the Bernard van Leer Foundation (BRA\u20102018\u2010178) for the 4\u2010year follow\u2010up. At the 4\u2010year follow\u2010up, the 2015 cohort also was funded by the Department of Science and Technology (DECIT/Brazilian Ministry of Health). The 6\u2010 to 7\u2010year follow\u2010up received funding from the Department of Science and Technology of the Ministry of Health (Department of Science and Technology (DECIT/Brazilian Ministry of Health), Instituto Todos Pela Sa\u00FAde, Celer Biotecnologia SA, FAPERGS PqG 21/2551\u20100002004\u20100 and CNPq through public notices: 407813/2021\u20107, 406582/2021\u20101 and 406582/2021\u20101. Funding:
Funding: This article is based on data from the study \u201CPelotas Birth Cohort, 2015\u201D conducted by the Postgraduate Program in Epidemiology at Universidade Federal de Pelotas, with the collaboration of the Brazilian Public Health Association (ABRASCO). The first phases of the 2015 Pelotas (Brazil) Birth Cohort were funded by the Wellcome Trust (095582). Funding for specific follow-up visits was also received from the Conselho Nacional de Desenvolvimento Cient\u00EDfico e Tecnol\u00F3gico (CNPq) and Funda\u00E7\u00E3o de Amparo a Pesquisa do Estado do Rio Grande do Sul (FAPERGS) and Children's Pastorate sponsored follow-up at 24 months and FAPERGS \u2013 PPSUS, the Wellcome Trust and FAPERGS \u2013 PPSUS and the Bernard van Leer Foundation (BRA-2018-178) for the 4-year follow-up. At the 4-year follow-up, the 2015 cohort also was funded by the Department of Science and Technology (DECIT/Brazilian Ministry of Health). The 6- to 7-year follow-up received funding from the Department of Science and Technology of the Ministry of Health (Department of Science and Technology (DECIT/Brazilian Ministry of Health), Instituto Todos Pela Sa\u00FAde, Celer Biotecnologia SA, FAPERGS PqG 21/2551-0002004-0 and CNPq through public notices: 407813/2021-7, 406582/2021-1 and 406582/2021-1. The authors would like to thank the population of Pelotas, especially the families included in the Pelotas Cohorts. Without their willingness to participate and contribute to science, this study would never have been conducted.
PY - 2025/1
Y1 - 2025/1
N2 - Background: Screen use has become nearly universal, especially in children. Therefore, it is important not only to comprehend its effects on health but also to understand its patterns of use. We aim to describe screen use patterns among children assessed at 2, 4, and 6–7 years, based on device, period of the day, and child/family characteristics. Methods: Longitudinal study, with participants of the 2015 Pelotas (Brazil) Birth Cohort, a population-based study including all living newborns in the city of Pelotas between 1 January and 31 December 2015. Child/family characteristics used in the study were sex, skin color, family income, and maternal education. Screen time at 2 years was evaluated by TV time. At age 4, TV time and other screens (computer and videogames) was assesed. At 6–7 years, screen use was collected for each device (TV, smartphone, tablet/iPad, computer, and videogames). Results: At 2, 4, and 6–7 years, 1420, 3963, and 3857 had valid screen time data, respectively. Mean total screen time ranged from ~ 2.5 h per day at age 2 to ~ 5.5 h per day at age 6–7. At 2 years, no difference in screen time was found according to child/family characteristics. In general, boys presented higher screen time values at 4 and 6–7 years. No differences for ethnicity were observed. For family income and maternal education, the extreme groups presented higher use. Higher values of screen time were also observed during the evening and for children who did not attend school nor had home activities during the Covid-19 pandemic. Conclusions: The results suggest that children are exceeding current screen time guidelines, with different patterns of use according to child/family characteristics. The high use of screens and more concentrated use during the evenings raise concern considering its possible negative effects on health.
AB - Background: Screen use has become nearly universal, especially in children. Therefore, it is important not only to comprehend its effects on health but also to understand its patterns of use. We aim to describe screen use patterns among children assessed at 2, 4, and 6–7 years, based on device, period of the day, and child/family characteristics. Methods: Longitudinal study, with participants of the 2015 Pelotas (Brazil) Birth Cohort, a population-based study including all living newborns in the city of Pelotas between 1 January and 31 December 2015. Child/family characteristics used in the study were sex, skin color, family income, and maternal education. Screen time at 2 years was evaluated by TV time. At age 4, TV time and other screens (computer and videogames) was assesed. At 6–7 years, screen use was collected for each device (TV, smartphone, tablet/iPad, computer, and videogames). Results: At 2, 4, and 6–7 years, 1420, 3963, and 3857 had valid screen time data, respectively. Mean total screen time ranged from ~ 2.5 h per day at age 2 to ~ 5.5 h per day at age 6–7. At 2 years, no difference in screen time was found according to child/family characteristics. In general, boys presented higher screen time values at 4 and 6–7 years. No differences for ethnicity were observed. For family income and maternal education, the extreme groups presented higher use. Higher values of screen time were also observed during the evening and for children who did not attend school nor had home activities during the Covid-19 pandemic. Conclusions: The results suggest that children are exceeding current screen time guidelines, with different patterns of use according to child/family characteristics. The high use of screens and more concentrated use during the evenings raise concern considering its possible negative effects on health.
KW - children
KW - cohort studies
KW - preschool children
KW - screen time
KW - smartphone
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U2 - 10.1111/cch.70033
DO - 10.1111/cch.70033
M3 - Article
C2 - 39778873
AN - SCOPUS:85214367323
SN - 0305-1862
VL - 51
JO - Child: Care, Health and Development
JF - Child: Care, Health and Development
IS - 1
M1 - e70033
ER -