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The secular trend of reduced physical fitness (PF) leads to increased health risks. The aim of the present paper is to analyse various current factors that affect health behaviour with respect to the course of PF over 2 years. A path analysis combined with a latent growth curve analysis was based on a study that was conducted between June 2008 and June 2010 with 145 primary German school children (52.1% male, average age at baseline 7.95 years ± 0.95). PF was tested with the German Motor Test 6–18. For the mean PF and the course of PF, direct and indirect influences were shown over three levels, including migration background on the first level and physical activity (PA) on the second level. Body mass index (BMI) impacted the mean PF but not the course of PF. The influence of sedentary behaviour on the mean PF was diminished (compared to bivariate analysis) due to its common variance mainly with BMI. PA affected not only current PF in children but also the course of PF (aintercept =.28, P =.001; aslope =.27, P =.21). Consequently, preventive measures should focus on early adoption and maintenance of PA. [ABSTRACT FROM AUTHOR]

Aim: Identifying factors that influence children's and adolescents’ participation in physical activity (PA), as well as their physical fitness (PF), is essential for the development of effective intervention strategies. The aim of this study was to investigate and compare influential socio-demographic factors that affect PA such as socio-economic status (SES), rural–urban differences, immigration and age, as well as the effects of age and PA on PF as differentiated by gender. Subjects and Methods: German children between 6 and 9 years and adolescents between 10 and 17 years of age (n = 2574) participated in the representative, nationwide, cross-sectional ‘Motorik’-Module study between 2003 and 2006. Results: Results revealed that immigrant children and children with a lower SES background were less physically active and that this inactivity subsequently resulted in lower levels of PF as compared with non-immigrant children and children with a higher SES background. PA was further positively associated with age for children. All of these three socio-demographic factors were comparably meaningful for PA. In adolescents, the only PA-relevant socio-demographic parameter was SES with lower PA again resulting in lower PF levels observed in adolescents from lower income families. PF in childhood as well as adolescence was mostly positively affected by age, followed by PA, except for in female adolescents for whom PA and age were nearly equally significant. Conclusions: An intervention aiming to improve PA levels, and consequently PF levels, must, with respect to age and gender, refer to SES, as well as immigration background, but not to rural–urban differences. [ABSTRACT FROM PUBLISHER]