Related Experiment Video
Updated: Jul 28, 2026

19:15
Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
86.7K
Predictors for Screen Time Exposure among Children between 3 and 5 Years Old in Southern Brazil
Bruna Frata1, Janaina M Souza2, Dayane Montemezzo1
1Postgraduate Program in Physical Therapy, Santa Catarina State University, Florianopolis, SC 88080-350, Brazil.
Journal of Tropical Pediatrics
|December 1, 2021
Summary
Preschoolers in Brazil exceed recommended screen time exposure (STE) by fourfold. Parental screen time significantly influences children's STE, highlighting a critical family dynamic in digital habits.
Area of Science:
- Pediatrics
- Public Health
- Child Development
Background:
- Technology use is prevalent among preschoolers.
- Limited understanding of screen time exposure (STE) in relation to family and environment.
- Need to characterize STE in young children and its correlates.
Purpose of the Study:
- Characterize STE in Brazilian children aged 3-5 years.
- Associate children's and parents' STE with sociodemographic variables.
Main Methods:
- Study involved 237 children (3-5 years) and their parents in southern Brazil.
- A specific questionnaire was used to assess STE.
- Statistical analyses included Kruskal-Wallis, Dunn's post hoc, Spearman's correlation, and linear regression.
Main Results:
- Children averaged 3.7 hours/day of STE, exceeding recommended limits.
- A moderate positive correlation (r=0.4, p<0.001) was found between children's and parents' STE.
- Only children's and parents' STE variables showed significant positive association.
Conclusions:
- Brazilian preschoolers exceed recommended screen time by four times.
- Parental STE directly influences children's STE.
- Family environment plays a crucial role in managing children's digital habits.
Related Concept Videos
Bias in Epidemiological Studies
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
Environmental Influences on Intelligence
Despite the strong genetic influence on traits like intelligence, environmental factors significantly shape outcomes. For example, while over 90% of height variation is due to genetic differences, environmental factors such as nutrition also have a notable impact. Similarly, for intelligence, changes in a child's surroundings can significantly alter their IQ. Research shows that enriched environments boost children's academic success and help them develop key cognitive skills. Children from...

