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. 2022 Apr 27;14(4):802–811. doi: 10.4254/wjh.v14.i4.802

Table 3.

Comparisons and correlations between resting energy expenditure measured by indirect calorimetry and different predictive methods

Variable
mean ± SD (kcal)
Difference (95%CI)
P value
R2 (P)
Indirect calorimetry 1607.72 ± 257.4 - - -
Bioelectrical impedance 1790.48 ± 352.1 -182.8 (-217.3 to -148.1) < 0.001 0.899 (< 0.001)
Cunningham 1764.29 ± 246.2 -156.5 (-180.3 to -132.7) < 0.001 0.899 (< 0.001)
Harris & Benedict 2373.54 ± 254.9 -765.8 (-802.4 to -729.1) < 0.001 0.767 (< 0.001)
FAO/WHO 1616.07 ± 214.6 -8.35 (-61.8 to 45.1) 0.757 0.457 (< 0.001)
IOM 1648.95 ± 185.6 -41.23 (-61.6 to -20.8) < 0.001 0.955 (< 0.001)
McArdle et al 1611.30 ± 241.8 -3.58 (−27.3 to -20.1) 0.765 0.899 (< 0.001)
Mifflin et al 1558.71 ± 201.0 49.00 (30.4 to 67.58) < 0.001 0.955 (< 0.001)

FAO: Food and Agriculture Organization of the United Nations; WHO: World Health Organization; UNU: United Nations University.