. Author manuscript; available in PMC: 2014 Apr 30.

Published in final edited form as: Pediatr Exerc Sci. 2012 Nov;24(4):519–536. doi: 10.1123/pes.24.4.519

Table 1.

Prediction Equations

Study	Population	Prediction equation	Cut-points (cpm)
Actigraph

Freedson et al. 1997 (7)	N = 80; 6–18 y; Boys and girls	MET = 2.757 +(0.0015 × cpm)—(0.08957 × age (y))—(0.000038 × cpm × age (y))
Puyauetal. 2002 (18)	N = 26; 6–16 y; Boys and girls	Kcal·kg^.−1min⁻¹ = 0.0183 + (0.000010 × cpm)	Light: <3200 Mod: 3200–8199 Vig: ≥8200
Treuth et al.2004 (23)	N = 74; 13–14 y; Girls only	MET = 2.01 + (0.000856 × cpm)	Light: <3000 Mod: 0–3000 Vig: ≥5200
Trost et al.1998 (24)	N = 30; 10–14 y Boys and girls	Kcal·min⁻¹ = −2.23 + (0.0008 × cpm) + (0.08 × wt (kg))

Actical

Heil et al. 2006 (11)	N = 24; 8–18 y; Boys and girls	1R⁺: Kcal·kg^−1.min⁻¹ = 0.03411 + (1.27E-5 × cpm)
Heil et al.2006 (11)	N = 24; 8–18 y; Boys and girls	2R⁺: Kcal·kg^−1.min⁻¹ = 0.01667 + (5.10E-5 × cpm) Kcal·kg^−1.min⁻¹ = 0.03534 + (1.135E-5 × cpm)
Puyau et al.2002 (18)	N = 26; 6–16 y; Boys and girls	Kcal·kg^−1.min⁻¹ = 0.00423 + (0.00031 × cpm)^0.653	Light: <1500 Mod: 1500–6500 Vig: ≥6500

+ Heil 1R uses only one equation regardless of counts. The 2R uses the intensity (counts/min) of the activity to direct the accelerometer data to one of two equations.