Activities in previous year, 50 adolescents (42%) had pari in leisure activities and 15 (12,6%) in school activities. parisc led to an average of 10 missed days from school or leisure-time activities. parilt led to 7,2 missed days and paris led to 6,2 missed days. spearman’s correlations (n = 50 for parisc and n = 119 for parilt and paris) revealed associations between mai and parisc, parilt and paris, but not between mvpa or 20-metre shuttle run laps and parisc, parilt and paris. not surprisingly, percentage of body fat was negatively associated with the number of 20-metre shuttle run laps. in addition, results of crude linear regression models showed that frequency of mvpa was not associated with frequencies of parisc (b coefficients (b)/95% ci: 0,03/-0,11-0,18), parilt (b/95% ci: 0,04/-0,05-0,13) or paris (b/95% ci: -0,02/-0,07- 0,02) among slovak adolescents in our pilot study. conclusions estimating the burden of pari is important in advocating the need of directing sufficient resources to pari prevention along with the pa promotion. improvement and under- standing of factors associated with pari might be helpful in pari prevention. in addition, it might, among other