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Samuel Lins, Cynthia F. Melo, Sara G. Alves and Rúben L. Silva

negotiated. All these analyses were carried out using the computer program Iramuteq— R Interface pour les Analyses Multimensionnelles de Textes et de Questionnaires ( Ratinaud, 2009 ). The richness index (the ratio between the number of different words evoked and the total number of words collected), which

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Lauren T. Ptomey, Eric D. Vidoni, Esteban Montenegro-Montenegro, Michael A. Thompson, Joseph R. Sherman, Anna M. Gorczyca, Jerry L. Greene, Richard A. Washburn and Joseph E. Donnelly

iPad mini tablet computer (Apple Inc., Cupertino, CA) 3 days per week over 12 weeks. Duration and intensity of PA during group sessions were assessed using Fitbit Charge HR (Fitbit Inc., San Francisco, CA) wireless activity tracker/heart rate monitor. Participants and caregivers also met with the

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David R. Bassett, Patty S. Freedson and Dinesh John

is advances in data-management platforms. With research-grade accelerometers, researchers traditionally had to retrieve the devices from participants, download the data to a computer, and then write software to convert the acceleration data into physical activity outcomes. Today, software programs

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Lia Grego Muniz de Araújo, Bruna Camilo Turi, Bruna Locci, Camila Angélica Asahi Mesquita, Natália Bonicontro Fonsati and Henrique Luiz Monteiro

arrival of new technological options replaced traditional activities involving physical effort, supporting the sedentary lifestyle. 3 , 4 The time spent in sedentary activities, such as television (TV), video games, computers, and cell phones, is considered a public health problem because of its

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

determine from the previous day (1) total minutes spent watching television (TV), (2) total minutes spent using a computer, and (3) total minutes spent playing video games. Separate questionnaires were used to assess adult and child screen time. Child computer and video game use was not asked because they

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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

Sedentary behavior (SB) is characterized by low-energy expenditure activities (≤1.5 metabolic equivalent of task), such as watching television (TV) and using the computer while in a sitting, reclining, or lying posture ( 26 ). Previous studies have linked TV viewing habits with unhealthy outcomes

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Diego G.D. Christofaro, Bruna C. Turi-Lynch, Kyle R. Lynch, William R. Tebar, Rômulo A. Fernandes, Fernanda G. Tebar, Gregore I. Mielke and Xuemei Sui

, children should not engage in screen-viewing activities (watching TV, using computers, tablets, and smartphones, and playing video games) for more than 2 hours per day during leisure time. 9 , 10 However, data from 9 countries, including 11,434 children and adolescents, show that high screen time is

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Fabiana Medeiros de Almeida Silva and Aldemir Smith Menezes

Sedentary behavior is the term used to describe activities with energy expenditure close to resting values (1.0–1.5 metabolic equivalent units). Accordingly, activities that are usually performed in a sitting position, such as watching television, using the computer, playing video games, and

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Chelsea Steel, Carolina Bejarano and Jordan A. Carlson

) and activPAL (PAL Technologies Ltd, Glasgow, UK) accelerometers have an internal clock that is synchronized to another clock during initialization, such as a computer clock, and tracks time internally. Researchers often take careful steps upon initialization to assure that the clock to which the

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David L. Carey, Justin Crow, Kok-Leong Ong, Peter Blanch, Meg E. Morris, Ben J. Dascombe and Kay M. Crossley

relative and absolute training loads) can be used to generate optimized preseason training plans in Australian football and to investigate the effects of varying optimization targets and load constraints on the computer-generated plans. Methods The task of planning preseason training loads was posed as an