backward elimination approach was used to obtain a parsimonious model, following which FFG was included as an additional explanatory variable. Results : The participant's characteristics were age: 45 (1.67) yrs, FM: 31 (1.42) kg, RMR: 5763 (151) kJ/d, RQ: 0.83 (0.005) and FFG: +0.65 (0.30) o C. The final parsimonious model significantly predicted RMR from age, FM, FFM, ethnicity, McA ISI and FFG. The b coefficient of FFG on RMR was 50.3 kJ/d (95%CI: 2.5, 98.2, p < 0.05). There was no

more »

... p of FFG to RQ. Conclusions: FFG maybe an unrecognized factor that contributes to interindividual variations in RMR even within TNZ. Funding source(s): N/A.