Buuren, 2007 ). We are not the first to consider MI strategies for analyzing accelerometer studies. However, most of the literature does not specifically focus on handling missing data when characterizing a relationship between accelerometer-based measures and other covariates. For example, Lee and Gill
Search Results
Simulation-Based Evaluation of Methods for Handling Nonwear Time in Accelerometer Studies of Physical Activity
Kristopher I. Kapphahn, Jorge A. Banda, K. Farish Haydel, Thomas N. Robinson, and Manisha Desai
Understanding Physical Behaviors During Periods of Accelerometer Wear and Nonwear in College Students
Alexander H.K. Montoye, Kimberly A. Clevenger, Benjamin D. Boudreaux, and Michael D. Schmidt
wearing the monitor. The rationale for this study rests in the reality that accelerometer-based data collection often involves some degree of missing data, and strategies must be considered for how to handle the missing data to reduce risk of bias and improve reliability/accuracy in data collection ( Paul
Calibrating the Physical Activity Vital Sign to Estimate Habitual Moderate to Vigorous Physical Activity More Accurately in Active Young Adults: A Cautionary Tale
Liam P. Pellerine, Derek S. Kimmerly, Jonathon R. Fowles, and Myles W. O’Brien
strategy to lessen the inaccuracies of these measures ( Saint-Maurice et al., 2014 ). Despite this, few studies have attempted to develop calibration factors or models to better measure outcomes by accounting for impactful variables that may influence self-report accuracy ( Welk et al., 2017 ). Saint
Prediction Strength for Clustering Activity Patterns Using Accelerometer Data
Jingzhi Yu, Kristopher Kapphahn, Hyatt Moore, Farish Haydel, Thomas Robinson, and Manisha Desai
in the evaluation of our analytic strategies, we repeated the data aggregation procedure used to prepare the observed MIMS-unit data for the sampling pool using the same feature window width, signal, and aggregation function. Once aggregated feature windows were created, the data were transformed
Body-Worn Sensors Are a Valid Alternative to Forceplates for Measuring Balance in Children
Vincent Shieh, Ashwini Sansare, Minal Jain, Thomas Bulea, Martina Mancini, and Cris Zampieri
condition may be due to changing strategies of balance. If a subject were to switch from a continuous ankle strategy to a larger hip strategy that is common for more challenging balance tasks, the change in overall motion would be present in the acceleration measures (detected at the waist level by the
Moving Beyond the Characterization of Activity Intensity Bouts as Square Waves Signals
Myles W. O’Brien, Jennifer L. Petterson, Liam P. Pellerine, Madeline E. Shivgulam, Derek S. Kimmerly, Ryan J. Frayne, Pasan Hettiarachchi, and Peter J. Johansson
( Beets et al., 2010 ; Freedson et al., 1998 ; O’Brien, Wu, et al., 2021 ; Wu et al., 2021 ). Laboratory studies then inform the development of analytical strategies for estimating activity dose in free-living conditions where cadence/counts for each activity bout is determined and a corresponding
Implications and Recommendations for Equivalence Testing in Measures of Movement Behaviors: A Scoping Review
Myles W. O’Brien
equivalent was determined. Methods Search Strategy Literature searches were conducted using Scopus, Embase, MEDLINE, CINAHL, and Academic Search Premier databases on February 16, 2021. Search strategies are presented in Table 1 . Article citations were downloaded to an online research management system
Accuracy of Wearable Trackers for Measuring Moderate- to Vigorous-Intensity Physical Activity: A Systematic Review and Meta-Analysis
Jessica Gorzelitz, Chloe Farber, Ronald Gangnon, and Lisa Cadmus-Bertram
physical activity ( Coughlin & Stewart, 2016 ; O’Driscoll et al., 2018 ). Publications on the validity of wearable trackers for physical activity assessment have used many different strategies, devices, and criteria for validation. To date, no systematic review has addressed minutes of activity (e
Pre- Versus Postmeal Sedentary Duration—Impact on Postprandial Glucose in Older Adults With Overweight or Obesity
Elizabeth Chun, Irina Gaynanova, Edward L. Melanson, and Kate Lyden
levels are reported to be a significant contributor to glycated hemoglobin (HbA1c; Chen et al., 2011 ; Solomon et al., 2018 ), the gold standard measure of glucose control, strategies that target postprandial glucose levels could prove particularly relevant. Findings from this study suggest that in
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
