Zohre Pouresmail, Fatemeh Heshmati Nabavi, Maryam Rassouli
Quality of services in health education nurse-led clinics: an Iranian service providers and service recipients experience
BMC health services research
objectives paper 1 examine patterns physical activity pa sedentary behavior 2 describe development method quantify movement dispersion 3 determine relationship variables movement ie volume intensity dispersion volume sedentary behavior estimated cardiorespiratory capacity schoolaged children secondary analysis existing data set raw accelerometer data identified pa patterns movement dispersion schoolaged children bar graphs visually depicted participants daily vector magnitude counts research team developed dispersion variablemovement dispersionand formula provide new quantification daily pa patterns total movement dispersion represents intensity distribution movement whereas pure movement dispersion refers distribution movement wear time independent intensity kendalls tau examined relationship several variables body mass index percentile average minutes sedentary behavior average minutes light pa average minutes moderatevigorous pa mvpa derived vo2 max total movement dispersion pure movement dispersion three participants activity graphs presented examples 1 active 2 inactive 3 mixed active participant highest values pure total movement dispersion inactive participant much lower pure total movement dispersion values compared active participant mixed participant high average minutes mvpa yet lower pure total movement dispersion values total movement dispersion significant correlation average minutes light pa r 406 p 016 average minutes mvpa r 686 p 001 pure movement dispersion significantly correlated average minutes light pa r 448 p 008 average minutes mvpa r 599 p 001 average minutes sedentary behavior sb significantly correlated total r 041 p 806 pure movement dispersion r 165 p 326 movement dispersion may provide another tool advance knowledge pa potentially leading improved health outcomes raw accelerometer data gathered elementary school study offer opportunities identify schoolaged children risk obesity sb lack pa