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Karl M. Newell

development, biomechanics, and anthropometry: all subareas to the field of kinesiology that are usually treated relatively independently. On all of these fronts, the research on human movement is progressing in its integrative priorities and impact. The keynote speaker was professor Daniel E. Lieberman of

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Blanca Roman-Viñas, Fabio Zazo, Jesús Martínez-Martínez, Susana Aznar-Laín and Lluís Serra-Majem

Survey), 4 a periodic cross sectional study of the Catalan population (data from 2016), ANIVA study (Antropometría y Nutrición Infantil de Valencia-Valencian Anthropometry and Child Nutrition), 5 a cross-sectional study in the province of Valencia (data from 2013-2104 and 2014-2015) and one study

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Jaak Jürimäe

Citation 1 Towlson C, Cobley S, Midgley AW, Garrett A, Parkin G, Lovell R. Relative age, maturation and physical biases on position allocation in elite-youth soccer. Int J Sports Med . 2017;38:201–9. doi: 10.1055/s-0042-119029 This study assessed the contribution of relative age, anthropometry

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Jason C. Laffer, Aaron J. Coutts and Job Fransen

sequence passes to LS and were used by the accredited Level 3 Volleyball Australia coaches for the in-task performance assessment based on a subjective accuracy score. Anthropometry of participants was assessed by using Tanita UM-040 (Kewdale, Australia) scales to record body mass (kg) to the nearest 0

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Daniel das Virgens Chagas and Luiz Alberto Batista

Janeiro State University Ethics Committee and parental consent, and child assent was obtained prior to participation in research. Table 1 Descriptive Statistics of the Sample ( n  = 69) Including Anthropometry, Physical Activity, and Motor Coordination Levels 12 Years ( n  = 9) 13 Years ( n  = 29) 14

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Adam J. Zemski, Shelley E. Keating, Elizabeth M. Broad, Damian J. Marsh, Karen Hind and Gary J. Slater

in FM ( m ) without a corresponding increase in muscle force ( F ) will reduce acceleration ( a ) ( Duthie, 2006 ; Lees et al., 2017 ). Preseason increases in LM and decreases in FM have previously been reported in elite RU athletes using surface anthropometry ( Argus et al., 2010 ; Bradley et

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Jennifer Sygo, Alexandra M. Coates, Erik Sesbreno, Margo L. Mountjoy and Jamie F. Burr

, dual-energy X-ray absorptiometry (DXA), surface anthropometry, RMR, and physiological symptom questionnaires was carried out in November and early December 2016, a time when athletes resumed training after a break following the Olympic competition cycle. Participants were reassessed during late April

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Bryan Holtzman, Adam S. Tenforde, Allyson L. Parziale and Kathryn E. Ackerman

-S CAT—moderate risk Survey  Prolonged abnormally low %body fat measured by DXA or anthropometry • DXA %body fat Z score ≤ −2 • Age < 20: <85% expected body weight • Age ≥ 20: BMI ≤ 17.5  Substantial weight loss (5–10% body mass in 1 month) • Calculated weight lost in month prior to survey: loss of ≥5

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Sarah M. Coppola, Philippe C. Dixon, Boyi Hu, Michael Y.C. Lin and Jack T. Dennerlein

. However, these differences were relatively small and may be related to unmeasured keyboard factors as the devices did not share the same form factors. Moreover, few of these studies have examined the effects on specific individual characteristics such as sex/gender, anthropometry, and strength. Previous

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Alexei Wong, Marcos A. Sanchez-Gonzalez, Won-Mok Son, Yi-Sub Kwak and Song-Young Park

variation were 9.1% and 4.6%, 9.5% and 8.5%, and 6.2% and 8.3% for insulin, adiponectin, and leptin, respectively. Anthropometry and Body Composition Body weight (mass) and height were measured to the nearest 0.1 kg and 1 cm, respectively, using a weighing scale (Life Measurement Inc, Concord, CA) and a