Search results for "accelerometry"
showing 10 items of 120 documents
Moderate-to-Vigorous Physical Activity Levels in Physical Education, School Recess, and After-School Time: Influence of Gender, Age, and Weight Status
2016
Background:Primary and secondary school ages have been considered key moments to address the decrease of moderate-tovigorous physical activity (MVPA). Individual (eg, age, gender, and weight status) and contextual factors (moments of the day) need to be considered for a better explanation of the phenomenon. The quantity and quality of physical activity in Physical Education (PE), school recess (SR), and after school (AS) time need to be taken into account to solve the low levels of MVPA in youth.Methods:A sample of adolescents (N = 231, 14.6 ± 1.2 years old) was studied using accelerometry to determine the objective MVPA level in PE, SR, and AS.Results:Results indicated statistically signif…
Development of accelerometer-based light to vigorous physical activity in fitness profiles of school-aged children.
2021
This study examined the developmental trajectories of light (LPA) and moderate-to-vigorous physical activity (MVPA) in fitness profiles derived from motor competence, perceived motor competence, health-related fitness, and MVPA behaviour. Locomotor, stability, and object-control skills, muscular and cardiovascular fitness, and physical activity were assessed in 510 (girls 285, boys 225) Finnish school-aged children (Mage = 11.26 ± .33 years) over three years. Physical activity was measured using hip-mounted accelerometers. Fitness profiles were identified using latent profile analysis and the development of physical activity levels across four assessments was analysed with latent growth cur…
Deep Learning for Classifying Physical Activities from Accelerometer Data
2021
Physical inactivity increases the risk of many adverse health conditions, including the world’s major non-communicable diseases, such as coronary heart disease, type 2 diabetes, and breast and colon cancers, shortening life expectancy. There are minimal medical care and personal trainers’ methods to monitor a patient’s actual physical activity types. To improve activity monitoring, we propose an artificial-intelligence-based approach to classify the physical movement activity patterns. In more detail, we employ two deep learning (DL) methods, namely a deep feed-forward neural network (DNN) and a deep recurrent neural network (RNN) for this purpose. We evaluate the proposed models on two phy…
Establishing cut-points for physical activity classification using triaxial accelerometer in middle-aged recreational marathoners
2018
The purpose of this study was to establish GENEA (Gravity Estimator of Normal Everyday Activity) cut-points for discriminating between six relative-intensity activity levels in middle-aged recreational marathoners. Nighty-eight (83 males and 15 females) recreational marathoners, aged 30-45 years, completed a cardiopulmonary exercise test running on a treadmill while wearing a GENEA accelerometer on their non-dominant wrist. The breath-by-breath V̇O2 data was also collected for criterion measure of physical activity categories (sedentary, light, moderate, vigorous, very vigorous and extremely vigorous). GENEA cut-points for physical activity classification was performed via Receiver Operatin…
Associations of neck and shoulder pain with objectively measured physical activity and sedentary time among school-aged children
2020
Abstract Objectives The potential effects of physical activity and sedentary time on children’s increasing neck and shoulder pain are unclear. The aim of this cross-sectional study was to evaluate the associations between objectively measured physical activity or sedentary time and neck and shoulder pain in children. Methods Children (n=905; 10–15 years old) filled in an electronic questionnaire during school hours on the frequency of their neck and shoulder pain. Daytime moderate to vigorous physical activity and sedentary time were measured objectively with an ActiGraph accelerometer. A multinomial logistic regression was applied to study the associations. The results were adjusted for ag…
Revisiting the cross‐sectional and prospective association of physical activity with body composition and physical fitness in preschoolers: A composi…
2022
Background Information is limited for the benefits of physical activity (PA) in preschoolers. Previous research using accelerometer-assessed PA may be affected for multicollinearity issues. Objectives This study investigated the cross-sectional and prospective associations of sedentary behaviour (SB) and PA with body composition and physical fitness using compositional data analysis. Methods Baseline PA and SB were collected in 4-year-old (n = 315) using wrist-worn GT3X+ during seven 24 h-periods. Body composition (air-displacement plethysmography) and physical fitness (PREFIT test battery) were assessed at baseline and at the 12-month follow-up. Results Increasing vigorous PA at expenses o…
Sedentary Thresholds for Accelerometry-Based Mean Amplitude Deviation and Electromyography Amplitude in 7–11 Years Old Children
2019
We investigated the ability of energy expenditure, movement sensing, and muscle activity to discriminate sedentary and non-sedentary activities in children. Thirty-five 7–11-year-old children participated in the study. Simultaneous assessment of oxygen uptake (V̇O2), triaxial accelerometry, and thigh muscle electromyography (EMG) were performed during eight different sedentary and non-sedentary activities including lying down, sitting-, standing-, and walking-related activities, which were performed in a random order. Mean values of V̇O2, accelerometry, and EMG from the concurrent 2 min epochs during each activity were computed. Resting energy expenditure (REE) was measured during 30 min su…
Associations of fitness, motor competence, and adiposity with the indicators of physical activity intensity during different physical activities in c…
2021
We investigated the associations of peak oxygen uptake (V̇O2peak), ventilatory threshold (VT), muscle strength, motor competence (MC), and adiposity with the indicators of PA intensity during different physical activities used to create absolute PA intensity cut-offs among 35 children 7–11-years-of-age. V̇O2peak was defined as the highest V̇O2 achieved in the maximal cardiopulmonary exercise test (CPET) on a cycle ergometer, self-paced running, or running on a treadmill at 8 km/h. VT was defined from the CPET data. Peak isometric knee extensor and flexor strength was assessed by a dynamometer, MC by the Körperkoordination test für Kinder tests, and body composition by the bioelectrical impe…
Training Load and Energy Expenditure during Military Basic Training Period
2019
Purpose: To compare training load and energy expenditure during an 8-week military BT period among individuals having different fitness level using objective measurements in an authentic environment. Methods: Thirty-four voluntary male conscripts (age 19.1±0.3 years) were divided into three training groups (inactive, moderate, active) by their reported physical activity (PA) level evaluated by the International Physical Activity Questionnaire (IPAQ) prior to military service. Maximal oxygen uptake (VO2max) and heart rate (HR) were determined by maximal treadmill test in the beginning and after 4 and 7 weeks of BT. During BT, HR monitors and accelerometers were used to measure PA and energy …
Neighborhood built environment and socio-economic status in relation to multiple health outcomes in adolescents.
2017
Abstract The study aim was to examine associations of neighborhood built environment and neighborhood socio-economic status (SES) with multiple physical activity (PA) behaviors, sedentary time, and obesity indicators among adolescents. Cross-sectional study of 325 adolescents aged 14–18 years recruited from schools in Valencia, Spain. Participants' home neighborhoods were classified according to walkability and SES levels. Walkability was defined as an index of three built environment characteristics (i.e., residential density, land use mix, and street connectivity) based on geographic information system data. Moderate-vigorous PA (MVPA) and sedentary time were assessed using accelerometers…