Table 1
Regression equations for associations between 60- and 15-second epoch data for physical activity and sedentary time outcome variables Table 1
Regression equations for associations between 60- and 15-second epoch data for physical activity and sedentary time outcome variables

Table 1
Regression equations for associations between 60- and 15-second epoch data for physical activity and sedentary time outcome variables
Table summary
This table displays the results of Regression equations for associations between 60- and 15-second epoch data for physical activity and sedentary time outcome variables Regression equation
(x = 60-second epoch, y = 15-second epoch) and R (appearing as column headers).
		R²
	Regression equation (x = 60-second epoch, y = 15-second epoch)	R²
Moderate-to-vigorous physical activity (minutes per day)	y = 0.78x + 15.76	0.85
Light physical activity (minutes per day)	y = 0.72x + 6.67	0.85
Sedentary time (minutes per day)	y = 1.03x + 67.20	0.83
Total counts per day	y = 0.91x + 17,229	0.87
Source: Colley RC, Harvey A, Grattan KP, Adamo K. Impact of accelerometer epoch length on physical activity and sedentary behaviour. Health Reports 2014; 25(1): 3-9.

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