Results 31 to 40 of about 33,178 (257)

Accelerometric Assessment of Postural Balance in Children: A Systematic Review

open access: yesDiagnostics, 2020
The correct development of postural control in children is fundamental to ensure that they fully reach their psychomotor capacities. However, this capacity is one of the least studied in the clinical and academic scope regarding children.
Jose L. García-Soidán   +3 more
doaj   +1 more source

Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses: A cross-sectional study of 89,205 participants from the UK Biobank.

open access: yesPLoS Medicine, 2021
BackgroundSleep problems are both symptoms of and modifiable risk factors for many psychiatric disorders. Wrist-worn accelerometers enable objective measurement of sleep at scale.
Michael Wainberg   +8 more
doaj   +1 more source

Physical performance analysis: A new approach to assessing free-living physical activity in musculoskeletal pain and mobility-limited populations.

open access: yesPLoS ONE, 2017
BackgroundAccurate measurement of physical performance in individuals with musculoskeletal pain is essential. Accelerometry is a powerful tool for this purpose, yet the current methods designed to evaluate energy expenditure are not optimized for this ...
Matthew Smuck   +4 more
doaj   +1 more source

Age-related patterns of vigorous-intensity physical activity in youth:the International Children’s Accelerometry Database [PDF]

open access: yes, 2016
Physical activity declines during youth but most evidence reports on combined moderate and vigorous-intensity physical activity. We investigated how vigorous-intensity activity varies with age.
Sharp, Stephen   +90 more
core   +2 more sources

Device-based physical activity measures for population surveillance—issues of selection bias and reactivity

open access: yesFrontiers in Sports and Active Living, 2023
BackgroundDevice-based measurement in physical activity surveillance is increasing, but research design choices could increase the risk of self-selection bias and reactive behaviour. The aim of this study is to compare the self-reported physical activity
Lars Breum Christiansen   +6 more
doaj   +1 more source

Are Family Physical Activity Habits Passed on to Their Children?

open access: yesFrontiers in Psychology, 2021
Studies of the familial association of physical activity (PA) and sedentary behavior (SB) have increased in recent years. However, there is a lack of studies that have objectively examined the correlates between parents, grandparents, and childrens' PA ...
Vinko Zovko   +4 more
doaj   +1 more source

Accelerometry and Self-report in Sedentary Populations [PDF]

open access: yesAmerican Journal of Health Behavior, 2011
To determine whether self-reported exercise duration and intensity matched accelerometer data in sedentary endometrial cancer survivors and age-matched controls.Participants were asked to wear an accelerometer and self-report exercise bouts, duration, and intensity for one week.
Jennifer L, Jovanovic   +5 more
openaire   +2 more sources

Physical activity intensity, bout-duration, and cardiometabolic risk markers in children and adolescents [PDF]

open access: yes, 2018
Objectives: To determine the role of physical activity intensity and bout-duration in modulating associations between physical activity and cardiometabolic risk markers.Methods: A cross-sectional study using the International Children’s Accelerometry ...
Page, Angie S.   +87 more
core   +3 more sources

24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information

open access: yesScientific Reports, 2017
Estimation of physical activity using 24 h-accelerometry requires detection of accelerometer non-wear time (NWT). It is common practice to define NWT as periods >60 minutes of consecutive zero-accelerations, but this algorithm was originally developed ...
Lina Jaeschke   +7 more
doaj   +1 more source

Using Machine Learning for Remote Behaviour Classification—Verifying Acceleration Data to Infer Feeding Events in Free-Ranging Cheetahs

open access: yesSensors, 2021
Behavioural studies of elusive wildlife species are challenging but important when they are threatened and involved in human-wildlife conflicts. Accelerometers (ACCs) and supervised machine learning algorithms (MLAs) are valuable tools to remotely ...
Lisa Giese   +6 more
doaj   +1 more source

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