Given that neither we, nor others [ 24], have found evidence for sex×SNP interaction effects on measures of insulin sensitivity, we suggest that further confirmatory studies are required to test this hypothesis.
Two-way repeated-measures ANOVA was used to determine the effects of group, treatment, and group × treatment interactions on measured variables.
Kinematic profiles for pre- and post-fatigue SLSs are presented in Fig. 2.> -wrap-foot> *significantly different from pre (P ≤0.05) There was no combined effect of sex and fatigue on SLS kinematics as evidenced by a lack of interaction on repeated measures ANOVA (F = 1.10, P = 0.41).
As with the other efficacy measures reported here, there was no significant therapy-by-tiredness subgroup interaction on the measure of PGI-Improvement.
There was no trial block by lesion interaction on this measure, F 1, 76) = 2.25, p =.14.
There was no significant effect of Bax genotype or sex-by-genotype interaction on this measure (both P values > 0.3).
Rather, it provided a contrast measure to evaluate the likelihood that we are detecting interactions on all measures regardless of content, versus detecting interactions specifically for self-blame.
For locomotor activity and food intake measurements, repeated measures 2×2×2 ANOVA were used to determine the effects of experimental period (RW2 vs. baseline), genotype (WT vs. KO), feeding condition (RF vs. AL), and their interactions on behavioral measures.
However, there were no significant gender x diagnosis interactions on these measures (Table 3).
The hypothesis that there is a differential change over 6 months would be supported by significant subtype × visit interactions on dependent measures.
