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Jodie Andruschko, Anthony D. Okely and Phil Pearson

. Activity counts per 30-sec were uploaded to determine the amount of time spent sedentary, and in light, moderate, and vigorous intensity activity during the monitoring period based on the classifications of Freedson, Melanson, and Sirard ( 1998 ). Analyses were conducted separately for weekdays and weekend

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Bruno G.G. da Costa, Kelly S. da Silva, Rafael M. da Costa, Edio L. Petroski, Isabela C. Back, Paulo H.A. Guerra and Luiz R.A. de Lima

messages to ensure compliance. The minimum wear time to be included in the analysis was 4 days (3 weekdays and 1 weekend day) with a minimum 10 hours of data per day, after excluding nonwear time of 60 consecutive minutes with zero acceleration ( 5 ). Participants could wear the accelerometer for another

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Stephen Hunter, Valerie Carson, Anna Timperio, Jo Salmon, Alison Carver and Jenny Veitch

consistent with the physical activity measures, meeting screen time recommendations was also defined as ≥5 days per week. Weekday and Weekend Time Spent Outside The parents were asked to proxy-report how many hours per minute in total their children spent outside during the past 7 days, on weekdays (Monday

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Vernon M. Grant, Emily J. Tomayko, Ronald J. Prince, Kate Cronin and Alexandra Adams

adults about weekday and weekend bedtime, wake time, time it takes to fall asleep, and if participants slept longer on the weekends. Adult stress was assessed with the 10-item Perceived Stress Scale. 49 Data Analysis The adult data contained 423 observations (28 cases that were excluded due to pregnancy

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Julia Rudecki, Katie Weatherson and Guy Faulkner

weekdays and weekend days at baseline compared with 4-week follow-up. Interviews were audio recorded, and responses to questions were tabulated in Excel (Excel Version 16 Microsoft, WA). A descriptive content analysis 17 was conducted to summarize topics derived from the interview questions (predefined

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Thomas Sawczuk, Ben Jones, Sean Scantlebury and Kevin Till

robustness of the session RPE method has previously been confirmed over 24 hours ( 32 , 44 ). Following completion of the questionnaire and a short warm-up consisting of leg swings, lunges, squats, and 2 practice CMJs, participants were asked to execute 3 maximal CMJs on 4 weekdays, each separated by 1

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Ignacio Perez-Pozuelo, Thomas White, Kate Westgate, Katrien Wijndaele, Nicholas J. Wareham and Soren Brage

-of-day (00:00–05:59, 06:00–11:59, and so on in six-hour periods) and tested the differences in weekdays versus weekend days using Wilcoxon signed ranks. These tests were performed in men and women separately. Mean acceleration differences (VM HPF) were examined using ANOVA for time of the day and day of the

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Lisa Price, Katrina Wyatt, Jenny Lloyd, Charles Abraham, Siobhan Creanor, Sarah Dean and Melvyn Hillsdon

minimum wear criteria of ≥10 hours for ≥3 weekdays and 1 weekend day ( 26 ) at baseline and 18-month follow-up. For data collected at baseline, a compliance matrix was created to report the number and percentage of children meeting multiple valid hours/days combinations. To assess compliance with valid

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Andrew W. Tu, Allison W. Watts and Louise C. Masse


The purpose of this study was to examine the association between parent and adolescent levels of physical activity, sedentary behaviors, and sleep among a group of overweight and obese adolescents.


Baseline data of parent–adolescent pairs who enrolled in a lifestyle modification intervention were analyzed for this study (n = 176). Participants completed questionnaires about their screen time (TV, video game, and computer time), wore an accelerometer for 8 days, and completed a sleep diary for 1 week. In total, 98 parent–adolescent dyads provided valid data for the analyses. Multivariable regression analyses were conducted to assess the relationship between parent and adolescent’s moderate-to-vigorous activity (MVPA), step counts, sedentary behaviors, and sleep duration. Analyses were split by weekday, weekday evening and weekend.


Parent–adolescent MVPA was significantly associated on weekdays (b = 0.18; SE = 0.08; β = 0.26), weekday evenings (b = 0.21; SE = 0.08; β = 0.28), and weekends (b = 0.29; SE = 0.12; β = 0.27). This study found associations between parent–child video game time on weekends (b = 1.10; SE = 0.49; β = 0.24) and computer time on weekdays (b = 0.42; SE = 0.19; β = 0.23). Adolescent sleep was associated with parental sleep on weekdays only (b = 0.38; SE = 0.09; β = 0.46).


The findings warrant further investigation into the direction and mechanism of the relationship between parent and adolescent weight related behaviors.

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Jairo H. Migueles, Alex V. Rowlands, Florian Huber, Séverine Sabia and Vincent T. van Hees

near its extreme), and replaces these sections by imputed values (average of same time point on all other days of the measurement). Then, function g.analyse performs a descriptive analysis of the output and summarizes it per measurement, per day of measurement and conveniently per day type (i.e., weekdays