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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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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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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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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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Andressa Silva, Fernanda V. Narciso, Igor Soalheiro, Fernanda Viegas, Luísa S.N. Freitas, Adriano Lima, Bruno A. Leite, Haroldo C. Aleixo, Rob Duffield and Marco T. de Mello

and importance of the research. The procedures were started after direction by the team. Methodology Actigraphy In the present study, the players’ sleep behavior was monitored using an Actiwatch 2 wrist activity monitor actigraph (Philips Respironics, Andover, MA), which continuously measured the

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Barbara Resnick, Elizabeth Galik, Marie Boltz, Erin Vigne, Sarah Holmes, Steven Fix and Shijun Zhu

engage in a moderate or vigorous level of activity ( Fjeldsoe, Winkler, Marshall, Eakin, & Reeves, 2013 ; Gennuso, Matthews, & Colbert, 2015 ). Objective measures with actigraphy, which is a noninvasive method to monitor activity and rest, are also challenging, as age-appropriate accelerometer cut

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Benita J. Lalor, Shona L. Halson, Jacqueline Tran, Justin G. Kemp and Stuart J. Cormack

characteristics should be evaluated in combination with habitual sleep values from an appropriate baseline period. Critically, due to the mismatch between subjective and objective measures of sleep quality in both phases, actigraphy should be used to evaluate sleep in athlete populations. The shorter sleep

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Benita J. Lalor, Shona L. Halson, Jacqueline Tran, Justin G. Kemp and Stuart J. Cormack

, Roach GD . The validity of activity monitors for measuring sleep in elite athletes . J Sci Med Sport . 2016 ; 19 ( 10 ): 848 – 853 . PubMed ID: 26794719 doi:10.1016/j.jsams.2015.12.007 26794719 10.1016/j.jsams.2015.12.007 10. Sadeh A . The role and validity of actigraphy in sleep medicine: an