Results 21 to 30 of about 20,418 (215)

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

PLoS 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, Christy Tomkins-Lane, Ma Agnes Ith, Renata Jarosz, Ming-Chih Jeffrey Kao   +4 more
doaj   +1 more source

Thigh-worn accelerometry for measuring movement and posture across the 24-hour cycle: a scoping review and expert statement

BMJ Open Sport & Exercise Medicine, 2020
Introduction The Prospective Physical Activity Sitting and Sleep consortium (ProPASS) is an international collaboration platform committed to harmonise thigh-worn accelerometry data.
Mark Hamer, Annemarie Koster, Emmanuel Stamatakis, Sari Stenholm, Andreas Holtermann, Leon Straker, Vegar Rangul, Mette Aadahl, Malcolm Granat, Peter Palm, Patrick Joseph Crowley, Nidhi Gupta, Sebastien Chastin, Adrian Bauman, Matthew L Stevens, Elif Inan Eroglu, Barbaros Eroglu, Paul Mork   +17 more
doaj   +1 more source

Accelerometric Assessment of Postural Balance in Children: A Systematic Review

Diagnostics, 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, Raquel Leirós-Rodríguez, Vicente Romo-Pérez, Jesús García-Liñeira   +3 more
doaj   +1 more source

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

Frontiers 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, Sofie Koch, Adrian Bauman, Adrian Bauman, Mette Toftager, Christina Bjørk Petersen, Jasper Schipperijn   +6 more
doaj   +1 more source

Are Family Physical Activity Habits Passed on to Their Children?

Frontiers 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, Vinko Zovko, Sasa Djuric, Vedrana Sember, Gregor Jurak   +4 more
doaj   +1 more source

Temporal Alignment of Dual Monitor Accelerometry Recordings [PDF]

Sensors, 2021
Combining accelerometry from multiple independent activity monitors worn by the same subject have gained widespread interest with the assessment of physical activity behavior. However, a difference in the real time clock accuracy of the activity monitor introduces a substantial temporal misalignment with long duration recordings which is commonly not ...
Jan Christian Brønd, Natascha Holbæk Pedersen, Kristian Traberg Larsen, Anders Grøntved   +3 more
openaire   +4 more sources

Accelerometry and Self-report in Sedentary Populations [PDF]

American 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, Daniel C, Hughes, George P, Baum, Cindy, Carmack, Anthony J, Greisinger, Karen, Basen-Engquist   +5 more
openaire   +2 more sources

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

Sensors, 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, Jörg Melzheimer, Dirk Bockmühl, Bernd Wasiolka, Wanja Rast, Anne Berger, Bettina Wachter   +6 more
doaj   +1 more source

Interpretation of Multivariate Association Patterns between Multicollinear Physical Activity Accelerometry Data and Cardiometabolic Health in Children—A Tutorial

Metabolites, 2019
Associations between multicollinear accelerometry-derived physical activity (PA) data and cardiometabolic health in children needs to be analyzed using an approach that can handle collinearity among the explanatory variables.
Eivind Aadland, Lars Bo Andersen, Geir Kåre Resaland, Olav Martin Kvalheim   +3 more
doaj   +1 more source

Development of an Inexpensive Harnessing System Allowing Independent Gardening for Balance Training for Mobility Impaired Individuals

Sensors, 2021
Balance is key to independent mobility, and poor balance leads to a risk of falling and subsequent injury that can cause self-restriction of activity for older adults.
McPherson Newell, Ann Reinthal, Debbie Espy, Beth Ekelman   +3 more
doaj   +1 more source