The Relationship Between Daily Activity Level, Posture Distribution, Stepping Patterns, and Cadence in the BCS70 Cohort

This study investigated the relationship between stepping-defined daily activity levels, time spent in different postures, and the patterns and intensities of stepping behaviour. Using a thigh-mounted triaxial accelerometer, physical activity data from 3547 participants with seven days of valid data...

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Main Authors: Craig Speirs, Matthew Ahmadi, Mark Hamer, Emmanuel Stamatakis, Malcolm Granat
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
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Online Access:https://www.mdpi.com/1424-8220/24/24/8135
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author Craig Speirs
Matthew Ahmadi
Mark Hamer
Emmanuel Stamatakis
Malcolm Granat
author_facet Craig Speirs
Matthew Ahmadi
Mark Hamer
Emmanuel Stamatakis
Malcolm Granat
author_sort Craig Speirs
collection DOAJ
description This study investigated the relationship between stepping-defined daily activity levels, time spent in different postures, and the patterns and intensities of stepping behaviour. Using a thigh-mounted triaxial accelerometer, physical activity data from 3547 participants with seven days of valid data were analysed. We classified days based on step count and quantified posture and stepping behaviour, distinguishing between indoor, community, and recreation stepping. The results indicated significant differences in time spent in upright (2.5 to 8.9 h, <i>p</i> < 0.05), lying (8.0 to 9.1 h, <i>p</i> < 0.05), and sedentary (7.0 to 13.0 h, <i>p</i> < 0.05) postures across activity levels. At higher daily activity levels (10,000–15,000 steps), individuals tended to spend approximately equal time in each posture (8 h lying, 8 h sitting, and 8 h upright). The study found that at lower stepping-defined activity levels, step volumes were driven primarily by indoor stepping, while at higher activity levels, outdoor and recreation stepping were larger contributors. Additionally, stepping classified as indoor had significantly slower cadences compared to outdoor stepping. These findings suggest that the composition and intensity of stepping behaviours vary significantly with daily activity volumes, providing insights that could enhance public health messaging and interventions aimed at promoting physical activity.
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spelling doaj-art-10250d7fad984cf8ac4592010870fd7c2025-08-20T02:01:23ZengMDPI AGSensors1424-82202024-12-012424813510.3390/s24248135The Relationship Between Daily Activity Level, Posture Distribution, Stepping Patterns, and Cadence in the BCS70 CohortCraig Speirs0Matthew Ahmadi1Mark Hamer2Emmanuel Stamatakis3Malcolm Granat4PAL Technologies Ltd., Glasgow G4 0TQ, UKMackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, AustraliaDivision of Surgery and Interventional Science, Faculty of Medical Sciences, University College London, London WC1E 6BT, UKMackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, AustraliaSchool of Health and Society, University of Salford, Salford M6 6PU, UKThis study investigated the relationship between stepping-defined daily activity levels, time spent in different postures, and the patterns and intensities of stepping behaviour. Using a thigh-mounted triaxial accelerometer, physical activity data from 3547 participants with seven days of valid data were analysed. We classified days based on step count and quantified posture and stepping behaviour, distinguishing between indoor, community, and recreation stepping. The results indicated significant differences in time spent in upright (2.5 to 8.9 h, <i>p</i> < 0.05), lying (8.0 to 9.1 h, <i>p</i> < 0.05), and sedentary (7.0 to 13.0 h, <i>p</i> < 0.05) postures across activity levels. At higher daily activity levels (10,000–15,000 steps), individuals tended to spend approximately equal time in each posture (8 h lying, 8 h sitting, and 8 h upright). The study found that at lower stepping-defined activity levels, step volumes were driven primarily by indoor stepping, while at higher activity levels, outdoor and recreation stepping were larger contributors. Additionally, stepping classified as indoor had significantly slower cadences compared to outdoor stepping. These findings suggest that the composition and intensity of stepping behaviours vary significantly with daily activity volumes, providing insights that could enhance public health messaging and interventions aimed at promoting physical activity.https://www.mdpi.com/1424-8220/24/24/8135accelerometeractivPALBCS70cadencephysical activityposture
spellingShingle Craig Speirs
Matthew Ahmadi
Mark Hamer
Emmanuel Stamatakis
Malcolm Granat
The Relationship Between Daily Activity Level, Posture Distribution, Stepping Patterns, and Cadence in the BCS70 Cohort
Sensors
accelerometer
activPAL
BCS70
cadence
physical activity
posture
title The Relationship Between Daily Activity Level, Posture Distribution, Stepping Patterns, and Cadence in the BCS70 Cohort
title_full The Relationship Between Daily Activity Level, Posture Distribution, Stepping Patterns, and Cadence in the BCS70 Cohort
title_fullStr The Relationship Between Daily Activity Level, Posture Distribution, Stepping Patterns, and Cadence in the BCS70 Cohort
title_full_unstemmed The Relationship Between Daily Activity Level, Posture Distribution, Stepping Patterns, and Cadence in the BCS70 Cohort
title_short The Relationship Between Daily Activity Level, Posture Distribution, Stepping Patterns, and Cadence in the BCS70 Cohort
title_sort relationship between daily activity level posture distribution stepping patterns and cadence in the bcs70 cohort
topic accelerometer
activPAL
BCS70
cadence
physical activity
posture
url https://www.mdpi.com/1424-8220/24/24/8135
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