31st Jan 2024

Movement behaviours such as physical activity(PA), sedentary time(ST) and sleep (SL) are vital determinants for health. These health behaviours are likely to develop and form during early childhood. Across the research literature there is a dearth of data that explores young people’s movement behaviours considering ethnic and gender differences. The purpose of this research is to explore the levels of children’s accelerometer measured movement behaviours (physical activity, sleep and sedentary time) living in an ethnic diverse city.

Born in Bradford is a world leading birth cohort following the lives of 13,000 children from the ethnically diverse and economically deprived city of Bradford, UK. From 2017-2020, a sub-cohort of 2321 children, aged 7-10 years were invited and had parental consent to wear an Actilife triaxial accelerometer around their waist for 24 hours, 7 days a week. Accelerometers were fitted on children during school time. Evenson, Sadeh and Tudor-locke cut-points were applied to estimate average daily minutes moderate-to-vigorous physical activity (MVPA), ST, and SL. Simple descriptive statistics are presented here but inferential statistics will be presented at conference.

A total of 1508 (65%) children (51.5% of Pakistani heritage(PH), 30.2% White British(WB) had valid data (2 weekdays and 1 weekend) to estimate MVPA, ST and SL values.

For MVPA, the mean daily minutes and 95% confidence intervals (CI) were; ALL=60.5 95%CI[59.2, 61.7], Girls=53.1 95%CI[51.7, 54.6], Boys=68.3 95%CI[66.4, 70.2], PH=55.9 95%CI[54.3, 57.6], WB=67.6 95%CI[65.2, 70.0].

For ST, ALL=450.9 95%CI[447.8, 454.0], Girls=453.6 95%CI[449.3, 457.8], Boys=450.9 95%CI[447.8, 454.0], PH=457.1 95%CI[452.8, 461.4], WB=437.1 95%CI[431.4, 442.7].

For SL, ALL=506.9 95%CI[502.6, 511.3], Girls=511.9 95%CI[506.5, 517.7]. Boys=501.6 95%CI[495.3, 508.1], PH=502.9 95%CI[496.7, 509.3], WB=514.6 95%CI[505.6, 523.6].

Ethnic and gender differences were found in MVPA and ST values, but not in sleep. Further analysis is required to understand the complex relationship between movement behaviours, gender and ethnicity.

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