5501. Physical Activity/Health Promotion Interventions - physical activity interventions Scientific Abstract

2208 - Levels And Patterns Of Physical Activity And Sedentary Time Among Low Income Brazilian Preschoolers

Session Type
Free Communication/Poster
Session Name
D-64 - Population-based Surveillance
Session Category Text
Epidemiology and Biostatistics
Disclosures
 J. Mota: None.

Abstract

Knowledge of physical activity in preschool populations is important for public health
promotion. However, little is known about physical activity and sedentary patterns in low-
income children, suggesting an urgent need for data covering this population.
Purpose: to describe physical activity levels and sedentary time of low-income preschool
children during preschool time; to describe physical activity patterns of actives during
preschool time at public preschools in João Pessoa/Brazil. Method: a representative sample of
237 preschool was randomly selected and 204 provided valid accelerometer measurements
(boys: 4.5±0.8years, girls: 4.5±0.7years). Measured levels of physical activity and sedentary
time, and physical activity patterns were observed during preschool time (7am to 5pm)
(Actigraph, WGT3-X). Data were presented in quartiles of total physical activity by sex and
age. Univariate General Linear Model with Bonferroni´s post-hoc was used to analyze
differences between the quartiles. Data were performed using SPSS (version 25, Inc., Chicago,
USA), level of significance:95%. Results: physical activity at preschool range from 68 to
114% of total physical activity daily´s recommendation and from 28 to 83% of moderate to
vigorous physical activity recommendation. For the two most active quartiles, the daily total
physical activity recommendation was achieved during preschool time. Physical activity
patterns were similar between the least and the highest actives, and all the evaluated children
were more active outdoors than indoors. For the least actives, preschool time correspond 30%
of daily moderate to vigorous physical activity recommendation. Physical activity patterns are
quite similar between the least and the highest actives. Conclusion: this information is
important for tailoring interventions.
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