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Thomas Kourtessis and Greg Reid

Knowledge and skill of ball catching was assessed in 16 children with cerebral palsy and other physical disabilities (CPPD) and 16 nondisabled children, ages 6 through 12 years. Skill was measured by 15 ball-catching tasks. As expected, nondisabled children demonstrated higher scores in ball catching than children with CPPD. Higher scores in ball catching also were shown by older nondisabled children compared to their younger nondisabled peers, as well as by ambulatory children with CPPD compared to their nonambulatory peers. Knowledge of factors influencing ball catching was assessed by a 14-item multiple choice questionnaire. The two groups exhibited very similar knowledge of ball catching. Moreover, no differences regarding knowledge were found between older and younger nondisabled children or between ambulatory and nonambulatory children with CPPD. Within the limitations of this study, it was suggested that skill and knowledge do not develop at the same rate, and a deficit in skill does not necessarily mean that a deficit in knowledge about the activity exists.

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Anastasia Bounova, Maria Michalopoulou, Nikolaos Agelousis, Thomas Kourtessis and Vassilios Gourgoulis

Background:

Nowadays, the majority of adolescents exceed the AAP guidelines for screen use and this is likely to be a risk factor for obesity. The current study aims at investigating adolescent screen viewing in the context of home and neighborhood environment.

Methods:

A sample of 1141 adolescents as well as their parents participated in this survey. Adolescents were asked to complete a questionnaire about time spent on screen viewing behaviors. Respectively, parents completed a questionnaire concerning environmental predictors.

Results:

Almost two-thirds of the adolescents surveyed spend more than 2 hours per day on screen entertainment, with boys dealing with personal computers (PCs) and electronic games more than girls. The likelihood for an adolescent to exceed 2 hours of screen time is 3.87 times more when he has his meals in front of a TV screen on a daily basis, 1.69 times more when the TV is on, often as not on his return from school and 1.74 times more when there is a PC in the adolescent’s bedroom.

Conclusion:

Certain environmental predictors influence adolescents’ screen time, as a result, corrective intervention should aim at the family as a whole, as this whole shapes home environment.