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      Biological maturation, training experience, body size and functional capacity of adolescent female basketball players: A Bayesian analysis

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          Bringing context back into epidemiology: variables and fallacies in multilevel analysis.

          A large portion of current epidemiologic research is based on methodologic individualism: the notion that the distribution of health and disease in populations can be explained exclusively in terms of the characteristics of individuals. The present paper discusses the need to include group- or macro-level variables in epidemiologic studies, thus incorporating multiple levels of determination in the study of health outcomes. These types of analyses, which have been called contextual or multi-level analyses, challenge epidemiologists to develop theoretical models of disease causation that extend across levels and explain how group-level and individual-level variables interact in shaping health and disease. They also raise a series of methodological issues, including the need to select the appropriate contextual unit and contextual variables, to correctly specify the individual-level model, and, in some cases, to account for residual correlation between individuals within contexts. Despite its complexities, multilevel analysis holds potential for reemphasizing the role of macro-level variables in shaping health and disease in populations.
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            A simple method for measurement of mechanical power in jumping

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              Time-motion analysis and physiological data of elite under-19-year-old basketball players during competition.

              The physical demands of modern basketball were assessed by investigating 38 elite under-19-year-old basketball players during competition. Computerised time-motion analyses were performed on 18 players of various positions. Heart rate was recorded continuously for all subjects. Blood was sampled before the start of each match, at half time and at full time to determine lactate concentration. Players spent 8.8% (1%), 5.3% (0.8%) and 2.1% (0.3%) of live time in high "specific movements", sprinting and jumping, respectively. Centres spent significantly lower live time competing in high-intensity activities than guards (14.7% (1%) v 17.1% (1.2%); p<0.01) and forwards (16.6% (0.8%); p<0.05). The mean (SD) heart rate during total time was 171 (4) beats/min, with a significant difference (p<0.01) between guards and centres. Mean (SD) plasma lactate concentration was 5.49 (1.24) mmol/l, with concentrations at half time (6.05 (1.27) mmol/l) being significantly (p<0.001) higher than those at full time (4.94 (1.46) mmol/l). The changes to the rules of basketball have slightly increased the cardiac efforts involved during competition. The game intensity may differ according to the playing position, being greatest in guards.
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                Author and article information

                Journal
                International Journal of Sports Science & Coaching
                International Journal of Sports Science & Coaching
                SAGE Publications
                1747-9541
                2048-397X
                February 05 2018
                October 2018
                April 22 2018
                October 2018
                : 13
                : 5
                : 713-722
                Affiliations
                [1 ]Faculty Physical Education, University of Campinas, São Paulo, Brazil
                [2 ]Campus Hortolândia, Adventist University Center of São Paulo, São Paulo, Brazil
                [3 ]Department of Exercise and Sport Science, University of Wisconsin-LaCrosse, LaCrosse, WI, USA
                [4 ]Faculty of Sports Sciences and Physical Education, University of Coimbra, Coimbra, Portugal
                [5 ]Department of Physical Education, Sports Center, Federal University of Santa Catarina, Florianópolis, Brazil
                Article
                10.1177/1747954118772489
                143972c2-aa1c-4632-aad6-9b424649b963
                © 2018

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