Background: As cardio-metabolic risk tracks from childhood to adulthood, a better understanding of the relationship between movement behaviors (physical activity, sedentary behavior and sleep) and cardio-metabolic risk in childhood may aid in preventing metabolic syndrome (MetS) in adulthood.
Objective: To examine independent and combined cross-sectional and longitudinal associations between movement ...
Purpose: Identification of factors that relate to physical activity behavior in children at higher risk for weight problems--namely, children with obese parents--is key to informing the development of effective interventions to promote physical activity and reduce obesity. The purpose of our study was to examine children's perceptions of parental social ...
Purpose: Physical activity declines dramatically during adolescence and activity levels are consistently lower among children living in low-income communities. Competency in a range of fundamental movement skills (FMS) may serve as a protective factor against the decline in physical activity typically observed during adolescence. The purpose of this study was ...
Purpose: The purposes of this study were (1) to add layers and features to a previously published fully automated algorithm designed to identify children's nocturnal sleep and to exclude episodes of nighttime non-wear/wakefulness and potentially misclassified day time sleep episodes, and (2) to validate this refined sleep algorithm (RSA) against sleep ...
Abstract: Low levels of physical activity among children have raised concerns over the effects of a physically inactive lifestyle, not only on physical health but also on cognitive prerequisites of learning. This study examined how objectively measured and self-reported physical activity and sedentary behavior are associated with cognitive functions in ...
Objectives: Recent research has shown that machine learning techniques can accurately predict activity classes from accelerometer data in adolescents and adults. The purpose of this study is to develop and test machine learning models for predicting activity type in preschool-aged children.
Design: Participants completed 12 standardised activity trials (TV, reading, tablet ...
Background: School children are confined to and exposed to outdoor environment that happens to be at their disposal during compulsory school time. The health-promoting potential of outdoor environment, and the use of it, is therefore important. We have studied the impact of school outdoor environment in terms of playground features, ...
Background: A number of studies have suggested that there is a need to increase the physical activity levels of children. Parents are important influences on children’s behaviour. There is a lack of information about whether there are associations between the physical activity levels of young children and their parents. ...
Introduction: Very little is known about physical activity (PA) and PA patterns measured with objective methods among children with intellectual disability (ID).
Purpose: To investigate PA and PA patterns among Icelandic school children with mild-to-severe ID.
Methods: A sample of 91 children with ID and a randomly selected age- and sex-matched ...
Objectives: To validate the GT1M actigraph accelerometer step count function, and the Omron Walking Style Pro pedometer against accelerometer-based activity counts, and to compare pedometer-based and accelerometer-based steps in preschoolers.
Design: A sample of 41 preschoolers (21 boys, mean age 5.43 ± 0.63 years) from one preschool in Flanders, Belgium, was included in data ...