Deriving objectively-measured sedentary indices from free-living accelerometry data in rural and urban African settings: a cost effective approach.

The Healy-Matthews and MAH/UFFE average daily break number correlated closely (R2 = 99.9%) and there was high agreement (mean difference: + 0.7 breaks/day; 95% limits of agreement: - 0.06 to + 1.4 breaks/day). A slight bias of approximately + 1 break/day for the MAH/UFFE Analyzer was evident for both the regression and agreement analyses. At a group level there were no statistically or practically significant differences within sample groups between the two methods.