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Stability of Habitual Physical Activity and Sedentary Behavior Monitoring by Accelerometry in 6- to 8-Year-Olds

Laura Basterfield, Ashley J. Adamson, Mark S. Pearce, and John J. Reilly

Background:

Accelerometry is rapidly becoming the instrument of choice for measuring physical activity in children. However, as limited data exist on the minimum number of days accelerometry required to provide a reliable estimate of habitual physical activity, we aimed to quantify the number of days of recording required to estimate both habitual physical activity and habitual sedentary behavior in primary school children.

Methods:

We measured physical activity and sedentary behavior over 7 days in 291 6- to 8-year-olds using Actigraph accelerometers. Between-day intraclass reliability coefficients were calculated and averaged across all combinations of days.

Results:

Although reliability increased with time, 3 days of recording provided reliabilities for volume of activity, moderate-vigorous intensity activity, and sedentary behavior of 68%, 71%, and 73%, respectively.

Conclusions:

For our sample and setting, 3 days accelerometry provided reliable estimates of the main constructs of physical activity and sedentary behavior.

Cover Journal of Physical Activity and Health

In Journal of Physical Activity and Health Volume 8 (2011): Issue 4 (May 2011)

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Combining GPS, GIS, and Accelerometry: Methodological Issues in the Assessment of Location and Intensity of Travel Behaviors

Melody Oliver, Hannah Badland, Suzanne Mavoa, Mitch J. Duncan, and Scott Duncan

Background:

Global positioning systems (GPS), geographic information systems (GIS), and accelerometers are powerful tools to explain activity within a built environment, yet little integration of these tools has taken place. This study aimed to assess the feasibility of combining GPS, GIS, and accelerometry to understand transport-related physical activity (TPA) in adults.

Methods:

Forty adults wore an accelerometer and portable GPS unit over 7 consecutive days and completed a demographics questionnaire and 7-day travel log. Accelerometer and GPS data were extracted for commutes to/from workplace and integrated into a GIS database. GIS maps were generated to visually explore physical activity intensity, GPS speeds and routes traveled.

Results:

GPS, accelerometer, and survey data were collected for 37 participants. Loss of GPS data was substantial due to a range of methodological issues, such as low battery life, signal drop out, and participant noncompliance. Nonetheless, greater travel distances and significantly higher speeds were observed for motorized trips when compared with TPA.

Conclusions:

Pragmatic issues of using GPS monitoring to understand TPA behaviors and methodological recommendations for future research were identified. Although methodologically challenging, the combination of GPS monitoring, accelerometry and GIS technologies holds promise for understanding TPA within the built environment.

Cover Journal of Physical Activity and Health

In Journal of Physical Activity and Health Volume 7 (2010): Issue 1 (Jan 2010)

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Physical Activity Patterns in Adults Who Are Blind as Assessed by Accelerometry

José Marmeleira, Luis Laranjo, Olga Marques, and Catarina Pereira

The main purpose of our study was to quantify, by using accelerometry, daily physical activity (PA) in adults with visual impairments. Sixty-three adults (34.9% women) who are blind (18–65 years) wore an accelerometer for at least 3 days (minimum of 10 hr per day), including 1 weekend day. Nineteen participants (~30%) reached the recommendation of 30 min per day of PA, when counting every minute of moderate or greater intensity. No one achieved that goal when considering bouts of at least 10 min. No differences were found between genders in PA measures. Chronological age, age of blindness onset, and body mass index were not associated with PA. We conclude that adults who are blind have low levels of PA and are considerably less active compared with the general population. Health promotion strategies should be implemented to increase daily PA for people with visual impairments.

Cover Adapted Physical Activity Quarterly

In Adapted Physical Activity Quarterly Volume 31 (2014): Issue 3 (Jul 2014)

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Longitudinal Associations Between Physical Activity and Sleep Duration in Infants and Toddlers

Agnes G. Bucko, Bridget Armstrong, Kerry L. McIver, Alexander C. McLain, and Russell R. Pate

Carolina. The LAUNCH study excluded children with any physical limitation that prevented the use of accelerometry to assess PA, as well as children born before 37 weeks gestation. Measures Sleep Sleep was measured using actigraphy (MicroMini Motionlogger, AMI). Parents of children enrolled in the study

Cover Pediatric Exercise Science

In Pediatric Exercise Science Ahead of Print

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Identifying Multicomponent Patterns and Correlates of Accelerometry-Assessed Physical Behaviors Among Postmenopausal Women: The Women’s Health Accelerometry Collaboration

Kelly R. Evenson, Annie Green Howard, Fang Wen, Chongzhi Di, and I-Min Lee

retirement and aging ( Barnett et al., 2012 ), and these shifts in patterns could signal worsening health. There is a growing literature describing accelerometry-assessed physical activity ( Aoyagi & Shephard, 2010 ; Chomistek et al., 2016 ; Davis & Fox, 2007 ; Davis et al., 2011 ; Doherty et al., 2017

Cover Journal for the Measurement of Physical Behaviour

In Journal for the Measurement of Physical Behaviour Volume 7 (2024): Issue 1 (Jan 2024)

Open access

The Quantification of Hop Landing Balance Using Trunk-Mounted Accelerometry

Jonathan M. Williams, Michael Gara, and Carol Clark

accelerometry offers a valid measurement method for balance. Furthermore, the reliability of such methods is high across a range of tasks from double-leg, single-leg to tandem stance. 6 Despite this, highly dynamic balance tasks such as hop landing have yet to be investigated. Testing single-leg hop landing is

Cover Journal of Sport Rehabilitation

In Journal of Sport Rehabilitation Volume 28 (2019): Issue 8 (Nov 2019)

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Distinguishing Passive and Active Standing Behaviors From Accelerometry

Robert J. Kowalsky, Herman van Werkhoven, Marco Meucci, Tyler D. Quinn, Lee Stoner, Christopher M. Hearon, and Bethany Barone Gibbs

; Stoner et al., 2023 ; Young et al., 2016 ). It has become clear that more public health efforts are needed to reduce population-level SB, but the optimal SB-interruption strategy has not been identified. Large population studies using thigh-based accelerometry have found that an activity profile with

Cover Journal for the Measurement of Physical Behaviour

In Journal for the Measurement of Physical Behaviour Volume 7 (2024): Issue 1 (Jan 2024)

Open access

Measurement Reactivity of Accelerometer-Based Sedentary Behavior and Physical Activity in 2 Assessment Periods

Antje Ullrich, Sophie Baumann, Lisa Voigt, Ulrich John, and Sabina Ulbricht

major implications for the measurement and conclusions drawn from data analysis. 4 Accelerometry is frequently used to assess SB and PA. Accelerometer-based measures might be subject to human-related sources of bias. 5 Participants can influence data measurement by changing their behavior when they are

Cover Journal of Physical Activity and Health

In Journal of Physical Activity and Health Volume 18 (2021): Issue 2 (Feb 2021)

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Estimating Running Speed From Wrist- or Waist-Worn Wearable Accelerometer Data: A Machine Learning Approach

John J. Davis IV, Blaise E. Oeding, and Allison H. Gruber

when research-grade accelerometry is a more appropriate study design choice than devices for GPS or foot-worn IMU-based measurements of running speed (e.g., in preexisting data sets from large population-based cohort studies, or when overall daily physical activity is an outcome of interest). We

Cover Journal for the Measurement of Physical Behaviour

In Journal for the Measurement of Physical Behaviour Volume 6 (2023): Issue 1 (Mar 2023)

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Tri-Axial Accelerometry as an Injury Predictor Tool in Elite Soccer

Wayne Brown and Matt Greig

The epidemiology and etiology of ankle sprain injuries in soccer have been well described. Retrospective analysis of epidemiological data identified an English Premier League player sustaining a high lateral ankle sprain. GPS data collated during the training session in which the injury was sustained, and subsequent rehabilitation sessions, were analyzed to quantify uniaxial PlayerLoad metrics. The injured player revealed a 3:1 asymmetrical loading pattern in the mediolateral plane and multiaxial high loading events which might present the inciting event to injury. The high magnitude, asymmetrical and multiplanar loading is consistent with lateral ankle sprain etiology.

Cover International Journal of Athletic Therapy and Training

In International Journal of Athletic Therapy and Training Volume 22 (2017): Issue 5 (Sep 2017)