Sample size was calculated from the statistical power (1 − β) at 0.8, the α error at 0.05 and significant minimum effect size (f) at 0.6 based on the change in mGly concentration [11]. This power calculation determined that a minimum sample size of eight participants (for a repeated one-way ANOVA with five measurements) was required to detect a statistically significant difference in mGly concentration change using G*Power 3.1. Statistical analyses were performed using IBM SPSS statistics 24 for Windows (IBM, Chicago IL, USA) and expressed as means ± standard deviation. Paired t-test was used to compare mean difference between baseline and weight-loss period. Comparisons of means were performed using linear mixed model, and multiple comparison test was performed using Bonferroni post-hoc test.
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