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Sarah Spengler and Alexander Woll

Background:

Little is known about the relationship between physical activity and health-related quality of life (HRQOL) in adolescents. The purpose of this study was 1) to quantify the predictive power of greater physical activity on higher HRQOL in adolescents and 2) to analyze whether the prediction is better for the sports club setting than for the leisure time setting.

Methods:

Within the framework of the German Health Interview and Examination Survey for Children and Adolescents and the “Motorik-Modul,” 1828 German adolescents aged 11−17 years completed a questionnaire concerning the amount of weekly physical activity at school, in sports clubs, and during leisure time. The KINDL-R questionnaire was used to assess HRQOL. Linear and multiple regression analyses were used to analyze the effects of physical activity on HRQOL.

Results:

In regression analyses controlling for sociostructural variables, greater general physical activity was a significant predictor of higher HRQOL (P < .001). While greater physical activity in sports clubs significantly predicted higher HRQOL, greater physical activity during leisure time predicted higher HRQOL only to a certain level. Overall, the level of explained variance was low.

Conclusions:

Being physically active especially in sports clubs is positively linked to higher HRQOL of adolescents.

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Stefan Altmann, Steffen Ringhof, Benedikt Becker, Alexander Woll and Rainer Neumann

Purpose: To investigate if error-correction-processing (ECP) algorithms in timing lights are able to eliminate or reduce measurement errors (MEs) and false signals due to swinging arms or legs. Methods: First, a dummy was used to check if ECP generally works. Second, 15 male sport students performed sprints over 5 and 10 m. Timing lights with ECP and a high-speed camera as a gold standard were used to simultaneously capture the athletes when passing the timing lights at start, 5 m, and 10 m. MEs of the timing lights were calculated for hip and upper body. Results: The dummy condition revealed that ECP is able to eliminate MEs. In real sprint conditions, MEs were highest for timing light at start and when using the hip as a reference. Overall, out of 120 trials, only 4 false signals were not detected by ECP. They all occurred at the start timing light, with highest MEs being 0.263 s (hip) and 0.134 s (upper body). Regarding 5 and 10 m, all false signals were eliminated. Conclusions: As proven through video analyses, ECP eliminated almost all false signals. The largest MEs at the start timing light were associated with a distinct forward leaning of the athletes. Therefore, clear instructions concerning starting posture should be given to further improve measurement accuracy of the start timing light. This approach could also enhance comparisons between athletes. Nevertheless, based on the results, timing lights employing ECP can be recommended for measuring short sprints.

Open access

Yolanda Demetriou, Antje Hebestreit, Anne K. Reimers, Annegret Schlund, Claudia Niessner, Steffen Schmidt, Jonas David Finger, Michael Mutz, Klaus Völker, Lutz Vogt, Alexander Woll and Jens Bucksch