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Robert J. Brychta, Vaka Rögnvaldsdóttir, Sigríður L. Guðmundsdóttir, Rúna Stefánsdóttir, Soffia M. Hrafnkelsdóttir, Sunna Gestsdóttir, Sigurbjörn A. Arngrímsson, Kong Y. Chen, and Erlingur Jóhannsson

Adolescent sleep patterns are often measured with self-report ( Lewandowski, Toliver-Sokol, & Palermo, 2011 ) or actigraphy ( Galland et al., 2018 ). Although self-report is easier to administer, lower in cost, and requires less technical expertise than actigraphy, it is often affected by social

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Allison Naber, Whitney Lucas Molitor, Andy Farriell, Kara Honius, and Brooke Poppe

( Koltyn, 2002 ; Mathesom et al., 2013 ). One method that may be beneficial in altering lifestyle habits and health behaviors is through the utilization of wearable technology. When measuring activity levels, this technology is referred to as actigraphy, which is used to objectively measure physical

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Matteo Bonato, Antonio La Torre, Marina Saresella, Ivana Marventano, Giampiero Merati, Giuseppe Banfi, and Jacopo A. Vitale

collegiate soccer players (8.00 AM vs 8.00 PM). They observed while the player’s chronotype did not influence actigraphy-based sleep quality in response to a morning HIIT session it did have a significant effect on sleep parameters in response to the evening session. The morning-type (M-type) subjects

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Ashley Kuzmik, Barbara Resnick, Pamela Cacchione, Rachel Arendacs, and Marie Boltz

this measure. The results of our study demonstrated that the majority of participants were willing to wear the MW8, which provides support for the use of the device in hospital settings among older adults with dementia. For actigraphy-measured physical activity levels, our findings suggest that the MW8

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Catherine R. Marinac, Mirja Quante, Sara Mariani, Jia Weng, Susan Redline, Elizabeth M. Cespedes Feliciano, J. Aaron Hipp, Daniel Wang, Emily R. Kaplan, Peter James, and Jonathan A. Mitchell

within an individual. We, therefore, tested if the timing of meals, light exposure, physical activity, and sleep were associated with body mass index (BMI) in a sample of healthy adults who recorded the timing of behaviors over multiple days using a novel smartphone application and actigraphy. We first

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Jillian J. Haszard, Kim Meredith-Jones, Victoria Farmer, Sheila Williams, Barbara Galland, and Rachael Taylor

preparing, presenting, and interpreting compositional data analysis, we have used actigraphy data from a large study of New Zealand children in relation to BMI. We demonstrate the effect on estimates of association with BMI z -score by method of reallocating non-wear time; presentation in terms of

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Jacopo A. Vitale, Giuseppe Banfi, Andrea Galbiati, Luigi Ferini-Strambi, and Antonio La Torre

present study was to evaluate actigraphy-based sleep behavior and perceived recovery before and after a night game in top-level volleyball athletes. We hypothesized that we would detect lower sleep quality and perceived recovery both in the night immediately precompetition and postcompetition compared

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Anis Aloulou, Francois Duforez, Damien Léger, Quentin De Larochelambert, and Mathieu Nedelec

, 27 as follows: 16 to 41 = evening type, 42 to 58 = intermediate type, and 59 to 96 = morning type. Daily-Monitored Measures Actigraphy data were collected using a bracelet that was worn on the nondominant wrist (MotionWatch 8; CamNTech, Cambridge, United Kingdom). The recorded data were scored

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Kathleen H. Miles, Brad Clark, Jocelyn K. Mara, Peter M. Fowler, Joanna Miller, and Kate L. Pumpa

Over the duration of the study, the combined compliance rate for the actigraphy and sleep diary in terms of days complete was 88.6% (basketball = 83.7%, soccer = 90.7%, and control = 91.4%). The following variables were derived from the actigraphy and sleep diary: • Bedtime (h:min): time when the

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Shireen W. Eid, Rhonda F. Brown, Carl L. Birmingham, and Shane K. Maloney

measured sleep duration using an unobtrusive method (eg, actigraphy, Cambridge, MA). 12 , 14 Several commonly used substances are reported to potentially interfere with sleep: caffeine (administered 30 min before sleep in healthy people who typically drank 3 cups of caffeinated drinks/day) increased SOL