TABLE 3.

Accuracy, overprediction, and underprediction of each of the predictive equations compared to RMR measured by Fitmate GS in participants.

	Male athletes							Female athletes							Males							Females
	A*		OP+		UP++			A*		OP+		UP++			A*		OP+		UP++			A*		OP+		UP++
	n	%	n	%	n	%	RMSE	n	%	n	%	n	%	RMSE	n	%	n	%	n	%	RMSE	n	%	n	%	n	%	RMSE	p**
Harris-Benedict	10	40	9	36	6	24	252	12	50	10	42	2	8	221	5	25	15	75	0	0	264	8	29	20	71	0	0	331	0.034
Mifflina	10	40	6	24	9	36	267	17	71	4	17	3	13	195	9	45	11	55	0	0	182	9	32	19	68	0	0	267	0.037
Mifflinb	15	60	2	8	8	32	419	14	58	4	17	6	25	298	16	80	2	10	2	10	212	13	46	13	46	2	7	167	0.218
Schofield	11	44	7	28	7	28	261	13	54	9	38	2	8	223	6	30	14	70	0	0	265	9	32	19	68	0	0	330	0.293
Cunningham	10	40	13	52	2	8	260	13	54	9	38	2	8	225	5	25	15	75	0	0	271	7	25	21	75	0	0	334	0.106
Owen	12	48	1	4	12	48	259	9	38	14	58	1	4	267	16	80	3	15	1	5	264	11	39	15	54	2	7	277	0.025
Liu’s	12	48	3	12	10	40	339	16	67	5	21	3	12	236	12	60	8	40	0	0	121	12	43	16	57	0	0	235	0.309
De Lorenzo	10	40	10	40	5	20	284	10	42	14	58	0	0	192	3	15	17	85	0	0	164	1	4	27	96	0	0	233	0.002
Bernstein	5	20	0	0	50	80	257	4	17	2	8	18	75	304	8	40	0	0	12	60	307	15	54	0	0	13	46	406	0.001
Nelson	15	60	2	8	8	32	270	8	33	2	8	14	58	209	16	80	2	10	2	10	118	16	57	2	7	10	36	137	0.001
Johnstone	13	52	6	24	6	24	274	13	54	7	29	4	17	252	11	55	9	45	0	0	115	10	36	18	64	0	0	137	0.457
Roza	6	24	11	44	8	32	310	9	38	15	63	0	0	232	8	40	11	55	1	5	133	7	25	21	75	0	0	294	0.517

**p < 0.05. Chi-squared test was used to compare the accurate predictions in participants grouped according to the gender and physical activity level.

RMSE was calculated to indicate the model’s predictive performance in our data.

*The percentage of participants predicted by the RMR equation within ± 10% of the RMR measured by Fitmate GS.

⁺The percentage of participants predicted by the RMR equation within > 10% of the RMR measured by Fitmate GS. ⁺⁺The percentage of participants predicted by the RMR equation within < 10% of the RMR measured by Fitmate GS.

A, Accurate; OP, Over-Predicted; UP, Under-Predicted; RMSE, root-mean-squared prediction error.