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 ...
Abstract: Accelerometer step count accuracy may be affected by gait speed, device positioning, and analysis algorithm selection. We assessed ActiGraph GT3X+ step count accuracy related to device placement and analysis algorithm in older adults with walking aids (n = 13) and without walking aids (n = 22). Participants (81.5 ± 5.0 years of age) completed a ...
Purpose: The study aims were 1) to develop transparent algorithms that use short segments of training data for predicting activity types and 2) to compare the prediction performance of the proposed algorithms using single accelerometers and multiple accelerometers.
Methods: Sixteen participants (age, 80.6 yr (4.8 yr); body mass index, 26.1 kg·m (2.5 kg·m)) performed 15 ...
Rationale: Physical inactivity in COPD predicts health care utilization and mortality.
Objectives: To prospectively evaluate the relationship of this variable to the frequency of 30-day readmissions.
Methods: Following a hospitalization for an exacerbation, consented patients discharged following an exacerbation of COPD were asked to wear an ActiGraph GT3X+ accelerometer ...
Background: Physical activity (PA) has been consistently implicated in the etiology of obesity, whereas recent evidence on the importance of sedentary time remains inconsistent. Understanding of dose–response associations of PA and sedentary time with overweight and obesity in adults can be improved with large-scale studies using objective measures of ...
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, ...
Objective: To objectively measure physical activity (PA) patterns and sedentary time, and explore perceptions of workplace PA opportunities in regional male transport workers.
Methods: A multi-method study involving 28 drivers (52.4±9.69years) working at a bus company in South-East Queensland, Australia. PA was measured using accelerometers (n=23) to determine the proportion of ...
Abstract: Mobility—the ability to move about in one's neighbourhood and maintain independence—is essential for older adults' wellbeing. Neighbourhood environments support or hinder mobility especially as health declines and physical vulnerability increases with age. Linkages between mobility and planning and policy are key to designing age-friendly neighbourhoods with destinations ...
Abstract: This study examined the strength and shape of associations between perceived environmental attributes and adults’ recreational walking, using data collected from 13,745 adult participants in 12 countries. Perceived residential density, land use mix, street connectivity, aesthetics, safety from crime, and proximity to parks were linearly associated with recreational walking, while curvilinear ...