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Dimitrios Aivazidis, Fotini Venetsanou, Nikolaos Aggeloussis, Vassilios Gourgoulis and Antonis Kambas

’ body mass index (BMI) was calculated according to the formula weight/height 2 , and BMI status was estimated following International Obesity Task Force cutoffs. 40 Motor Competence Children’s MC was assessed by the Körperkoordination Test für Kinder (KTK), 41 a product-oriented assessment tool

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Dieter Deprez, Joao Valente-dos-Santos, Manuel Coelho e Silva, Matthieu Lenoir, Renaat M. Philippaerts and Roel Vaeyens

Purpose:

To model the development of soccer-specific aerobic performance, assessed by the Yo-Yo Intermittent Recovery Test Level 1 in 162 elite pubertal soccer players, age 11–14 y at baseline.

Methods:

Longitudinal multilevel modeling analyses comprised predictors related to growth (chronological age, body size [height and weight] and composition [fat mass, fat-free mass]), and motor coordination [3 Körperkoordination Test für Kinder subtests: jumping sideways, moving sideways, backward balancing] and estimated biological-maturation groups (earliest [>percentile 33] and latest maturers [>percentile 66]).

Results:

The best-fitting model on soccer-specific aerobic performance could be expressed as –3639.76 + 369.86 × age + 21.38 × age2 + 9.12 × height – 29.04 × fat mass + 0.06 × backward balance. Maturity groups had a negligible effect on soccer-specific aerobic performance (–45.32 ± 66.28; P > .05).

Conclusion:

The current study showed that the development of aerobic performance in elite youth soccer is related to growth and muscularity and emphasized the importance of motor coordination in the talentidentification and -development process. Note that biological maturation was excluded from the model, which might endorse the homogeneity in estimated biological-maturation status in the current elite pubertal soccer sample.

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Fenna Walhain, Marloes van Gorp, Kenneth S. Lamur, Dirkjan H.E.J. Veeger and Annick Ledebt

Background:

Health-related fitness (HRF) and motor coordination (MC) can be influenced by children’s environment and lifestyle behavior. This study evaluates the association between living environment and HRF, MC, and physical and sedentary activities of children in Suriname.

Methods:

Tests were performed for HRF (morphological, muscular, and cardiorespiratory component), gross MC (Körperkoordinations Test für Kinder), fine MC (Movement Assessment Battery for Children), and self-reported activities in 79 urban and 77 rural 7-year-old Maroon children. Urban-rural differences were calculated by an independent sample t test (Mann-Whitney U test if not normally distributed) and χ2 test.

Results:

No difference was found in body mass index, muscle strength, and the overall score of gross and fine MC. However, urban children scored lower in HRF on the cardiorespiratory component (P ≤ .001), in gross MC on walking backward (P = .014), and jumping sideways (P = 0.011). They scored higher in the gross MC component moving sideways (P ≤ .001) and lower in fine MC on the trail test (P = .036) and reported significantly more sedentary and fewer physical activities than rural children.

Conclusions:

Living environment was associated with certain components of HRF, MC, and physical and sedentary activities of 7-year-old children in Suriname. Further research is needed to evaluate the development of urban children to provide information for possible intervention and prevention strategies.

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Eva D’Hondt, Fotini Venetsanou, Antonis Kambas and Matthieu Lenoir

KörperKoordinations Test für Kinder (KTK; Kiphard & Schilling, 1974 , 2007 ), focusing on gross motor coordination but not evaluating any object control or fine motor skills. Accordingly, the Short Form of the Bruininks-Oseretsky Test of Motor Proficiency, Second Edition (BOT-2 SF; Bruininks & Bruininks, 2005