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

combined with movement intensity metrics may allow us to further understand how different postures relate to different activities and activity intensities. In this study, we aimed to describe the distribution of forearm postures, acceleration, derived sedentary time, and physical activity energy

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Alex S. Ribeiro, Luiz C. Pereira, Danilo R.P. Silva, Leandro dos Santos, Brad J. Schoenfeld, Denilson C. Teixeira, Edilson S. Cyrino and Dartagnan P. Guedes

categories of physical activity according to the recommendations of the American College of Sports Medicine ( Garber et al., 2011 ). Subjects who reported ≥150 min per week in moderate and vigorous physical activity were classified as “physically active.” Sedentary time was self-reported for both the

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Sarah G. Sanders, Elizabeth Yakes Jimenez, Natalie H. Cole, Alena Kuhlemeier, Grace L. McCauley, M. Lee Van Horn and Alberta S. Kong

moderate intensity, and at least some vigorous-intensity activity daily. 1 Sedentary time recommendations are not yet established; however, the American Academy of Pediatrics recommends limiting sedentary time by keeping time spent using electronic media below 2 hours per day. 3 Self-report and

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Nicola D. Ridgers, Karen E. Lamb, Anna Timperio, Helen Brown and Jo Salmon

toy, and participating schools received a small bag of sports equipment as compensation for their time. Measures Physical Activity and Sedentary Time Each child wore a GT3X+ accelerometer on his or her right hip using an adjustable nylon belt. Acceleration data are sampled using a 12-bit analog

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Alessandra Prioreschi and Lisa K. Micklesfield

Recently, new guidelines for the combination of movement behaviors (sleep, sedentary time, and physical activity) that make up a 24-hour day have been developed for the early years (0–5 y) in Australia and Canada. 1 , 2 Shortly thereafter, South Africa also launched movement guidelines for the

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Simon Marshall, Jacqueline Kerr, Jordan Carlson, Lisa Cadmus-Bertram, Ruth Patterson, Kari Wasilenko, Katie Crist, Dori Rosenberg and Loki Natarajan

The purpose of this study was to compare estimates of sedentary time on weekdays vs. weekend days in older adults and determine if these patterns vary by measurement method. Older adults (N = 230, M = 83.5, SD = 6.5 years) living in retirement communities completed a questionnaire about sedentary behavior and wore an ActiGraph accelerometer for seven days. Participants engaged in 9.4 (SD = 1.5) hr per day of accelerometer-measured sedentary time, but self-reported engaging in 11.4 (SD = 4.9) hr per day. Men and older participants had more accelerometer-measured sedentary time than their counterparts. The difference between accelerometer-measured weekday and weekend sedentary time was nonsignificant. However, participants self-reported 1.1 hr per day more sedentary time on weekdays compared with weekend days. Findings suggest self-reported but not accelerometer-measured sedentary time should be investigated separately for weekdays and weekend days, and that self-reports may overestimate sedentary time in older adults.

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Laura J. McGowan, Rachael Powell and David P. French

, this review found that interventions focusing on sedentary behavior alone produced larger reductions in sedentary time than interventions with a focus on physical activity, or those containing both physical activity and sedentary behavior components. These findings are supported by two subsequent

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Rawan Hashem, Juan P. Rey-López, Mark Hamer, Anne McMunn, Peter H. Whincup, Christopher G. Owen, Alex Rowlands and Emmanuel Stamatakis

indicators in Kuwaiti adolescents. Although in high-income countries there is a consistent inverse association between SES and adolescents’ total screen time, 10 , 11 fewer studies in the literature have examined the association between SES and objectively measured the total sedentary time. 10 One

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Mandy Peacock, Julie Netto, Polly Yeung, Joanne McVeigh and Anne-Marie Hill

.1097/00005768-199805000-00021 Gardiner , P.A. , Clark , B.K. , Healy , G.N. , Eakin , E.G. , Winkler , E.A.H. , & Owen , N. ( 2011 ). Measuring older adults’ sedentary time: Reliability, validity, and responsiveness . Medicine & Science in Sports & Exercise, 43, 2127 – 2133 . PubMed ID: 21448077 doi: 10.1249/MSS.0b

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Stephen Hunter, Andrei Rosu, Kylie D. Hesketh, Ryan E. Rhodes, Christina M. Rinaldi, Wendy Rodgers, John C. Spence and Valerie Carson

intervals of 0 counts. Data were considered complete if participants had at least 4 days, with at least 6 hours per day (≥1440 counts) of wear time ( 25 , 27 ). It was assumed that daytime naps were removed with nonwear time. Sedentary time was defined as 0 to 24 counts per 15 seconds, light