doubly labeled water (DLW) technique in pregnant women ( Sattler et al., 2018 ). DLW is expensive but is considered the “gold standard” for measuring TEE in free-living humans. The technique is based on the principle that the disappearance rate of the heavier stable isotope of hydrogen (H 2 ) reflects
Search Results
Methods to Estimate Energy Expenditure, Physical Activity, and Sedentary Time in Pregnant Women: A Validation Study Using Doubly Labeled Water
Saud Abdulaziz Alomairah, Signe de Place Knudsen, Caroline Borup Roland, Ida-Marie Hergel, Stig Molsted, Tine D. Clausen, Ellen Løkkegaard, Jane M. Bendix, Ralph Maddison, Marie Löf, Jakob Eg Larsen, Gerrit van Hall, and Bente Stallknecht
Changes in Device-Measured Physical Activity Patterns in U.K. Adults Related to the First COVID-19 Lockdown
Andrew P. Kingsnorth, Mhairi Patience, Elena Moltchanova, Dale W. Esliger, Nicola J. Paine, and Matthew Hobbs
to confirm the findings presented within this study. This could be combined with a longitudinal analysis and data-sharing partnership with commercial companies to establish how stable the behavioral changes are, considering the partial opening up of society into the winter months. In addition
CRIB: A Novel Method for Device-Based Physical Behavior Analysis
Paul R. Hibbing, Seth A. Creasy, and Jordan A. Carlson
potential novel application for CRIB. Although nonwear analysis is not normally considered a type of bout analysis, it can nevertheless be conceptualized as a stable pattern of accelerometer signal (traditionally 0 counts per min), with the possibility of brief interruptions (e.g., being moved from one
Prediction Strength for Clustering Activity Patterns Using Accelerometer Data
Jingzhi Yu, Kristopher Kapphahn, Hyatt Moore, Farish Haydel, Thomas Robinson, and Manisha Desai
.1016/0377-0427(87)90125-7 Tibshirani , R. , & Walther , G. ( 2005 ). Cluster validation by prediction strength . Journal of Computational and Graphical Statistics, 14 ( 3 ), 511 – 528 . https://www.jstor.org.turing.library.northwestern.edu/stable/27594130 Volkovich , Z. , Barzily , Z. , Weber , G.W. , Toledano
The Intrinsic Properties of ActiGraph Counts and Alternatives
Jan Christian Brønd, Niels Christian Møller, and Anders Grøntved
comparable to the outline of the measured EE. Although the ROCAM output is more stable, it does not reflect the intensity of basketball comparable to running, which is the case for EE. A similar output as obtained with ROCAM is also available with MAD, ENMO, AI, and MIMS if an epoch length of 20 or 30 s is
The 8th International Conference on Ambulatory Monitoring of Physical Activity and Movement
investigate the acute effects from exposure to occupational physical activity with and without lifting on heart rate, physical activity and ambulatory blood pressure. Methods: A randomized cross-over study among 18 farming workers in Denmark, all working in the stables of pig-producing farms. Workday
Aerobic Capacity Determines Habitual Walking Acceleration, Not Electromyography-Indicated Relative Effort
Arto J. Pesola, Timo Rantalainen, Ying Gao, and Taija Finni
the EMG and acceleration signals (Figure 1 ). The raw resultant acceleration and minimum filtered 100-ms root mean squared EMG values of all four EMG channels were visualized to confirm that the activity was indeed walking, and epochs with simultaneous stable EMG and accelerometry signals were
Missing Step Count Data? Step Away From the Expectation–Maximization Algorithm
Mia S. Tackney, Daniel Stahl, Elizabeth Williamson, and James Carpenter
number of imputations is needed for stable estimates of the standard error when the proportion of missing data is large ( von Hippel, 2018 ). For each scenario, we simulate 2,000 data sets to ensure that we estimate the empirical SEs with a Monte Carlo SE of less than 2%. Full details of the
The 7th International Conference on Ambulatory Monitoring of Physical Activity and Movement
always more posterior pelvic tilt (23.5° excursion), while the intermediate and the advanced remained stable and neutral (6.5° and 4.7° of excursion, respectively). The shoulder flexion angle decreased of 33.5° for the beginner, of 23.0° for the intermediate and of 13.5° for the advanced. The vertical