, representing 56.1% and 57.1% of device wear time. Mean sitting time increased in the Prompt group (+0.66 hr/day) from baseline to follow-up, while sitting time remained stable in the No Prompt group (−0.04 hr/day), but these changes were not significantly different within groups (Prompt: p = .15 and No
Search Results
Effectiveness of Fitbit Activity Prompts in Reducing Sitting Time and Increasing Physical Activity in University Employees: A Randomized Controlled Trial
Benjamin D. Boudreaux, Julie A. Schenck, Zhixuan Chu, and Michael D. Schmidt
Evaluating the Performance of Sensor-Based Bout Detection Algorithms: The Transition Pairing Method
Paul R. Hibbing, Samuel R. LaMunion, Haileab Hilafu, and Scott E. Crouter
studies with dynamic segmentation would benefit from a more robust pairing framework. The following subsections will show that the transition pairing task qualifies as a stable pairing problem ( Gale & Shapley, 1962 ; Greenwell & Seabold, 2014 ), and that a specialized form of the Gale-Shapley algorithm
Twelve-Month Stability of Accelerometer-Measured Occupational and Leisure-Time Physical Activity and Compensation Effects
Jennifer L. Gay and David M. Buchner
weather (amount of daylight, temperature, snow, and rain), injuries, relocating to a new residence or job, and needing to work longer hours ( Hirvensalo & Lintunen, 2011 ). At the same time, PA levels are sufficiently stable for cohort studies to commonly report that questionnaire measures of PA at
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
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
Measurement Reactivity in Ecological Momentary Assessment Studies of Movement-Related Behaviors
Jaclyn P. Maher, Danielle Arigo, Kiri Baga, Gabrielle M. Salvatore, Kristen Pasko, Brynn L. Hudgins, and Laura M. König
s > .29) or between prompts ( p s > .02). Average motivation to be physically active in the next few hours was fairly low ( B = 2.20, SE = 0.07 on a scale of 1–4) and minimally stable within person (ICC = .39). Consistent with measurement reactivity, motivation was higher at the first prompt, B
Comparison of activPAL and Actiwatch for Estimations of Time in Bed in Free-Living Adults
Mary C. Hidde, Kate Lyden, Josiane L. Broussard, Kim L. Henry, Julia L. Sharp, Elizabeth A. Thomas, Corey A. Rynders, and Heather J. Leach
accelerometers. Methods Adults aged 18–50 years with a body mass index of 27–45 kg/m 2 and weight stable (≤5% change over the previous 6 months) were recruited for a behavioral weight loss trial comparing the effects of time restricted eating plus caloric restriction with caloric restriction alone (NCT03571048
Agreement Between Different Days of activPAL and Actigraph GT3X Measurement of Sedentary Behavior and Physical Activity During the School Hours in Elementary Children
Luciana L.S. Barboza, Larissa Gandarela, Josefa Graziele S. Santana, Ellen Caroline M. Silva, Elondark S. Machado, Roberto Jerônimo S. Silva, Thayse N. Gomes, and Danilo R. Silva
that require more days tend to increase the exclusion of subjects, keeping a sample size close to the first day may be the most effective way to reduce SEM. Our results indicate that the number of days required tends to vary according to the type of behavior measured. More stable behaviors, such as
Concurrent Agreement Between ActiGraph and activPAL for Measuring Physical Activity in Pregnant Women and Office Workers
Melissa A. Jones, Sara J. Diesel, Bethany Barone Gibbs, and Kara M. Whitaker
collected at the second trimester visit was used. The second trimester assessment was selected as it is most likely to reflect more stable and typical pregnancy activity levels; pregnancy symptoms in the first trimester could limit activity and anatomical changes in the third trimester could cause
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
