*3.8. Statistical Analysis*

Data are expressed as the means ± SD or SEM. Statistical analysis were performed using SAS 9.1 (SAS Institute Inc., Cary, NC, USA). For all statistical analyses, data were transformed logarithmically if the variances were non-homogeneous. In order to examine the effect of diet, FX and their interaction in this 2 × 2 factorial design, two-way ANOVAs were used. The effect is considered significant if 

*p* < 0.05. When an interaction (*p* < 0.05) existed between diet and FX, data were  further analyzed by one-way ANOVA and Duncan's multiple range test. In the metabolic rate study, differences of VO2, VCO2 and RQ at each time point between HS and HS + F and between HF and HF + F were respectively analyzed by the Student's *t*-test. Areas under curve (AUCs) of VO2 and VCO2 were analyzed by twoway ANOVA. The AUC of RQ was analyzed by the Wilcoxon rank-sum test. 
