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. 2016 Jun 20;7:102. doi: 10.3389/fpsyt.2016.00102

Table 3.

F-statistics and p-values for all main effects and interactions are shown for weight analysis using a three-way ANOVA, between factors (sex, HIV-1 genotype, time), or a two-way ANOVA, between factors (HIV-1 genotype and stress).

Sex HIV-1 genotype Stress Sex × HIV-1 genotype Sex × stress Stress × HIV-1 genotype Sex × stress ×HIV-1 genotype
Weight over stress (1A) *F(1,70) = 79.2, p < 0.01 *F(1,70) = 5.80, p = 0.02 *F(1,70) = 70.91, p < 0.01 F(1,70) = 2.11, p > 0.05 F(1,70) = 1.54, p > 0.05 F(1,70) = 0.16, p > 0.05 F(1,70) = 0.09, p > 0.05
Adrenal weight (1B) *F(1,65) = 44.60, p < 0.01 *F(1,65) = 6.53, p = 0.01 F(1,65) = 3.66, p > 0.05 F(1,65) = 0.02, p > 0.05 F(1,65) = 0.04, p > 0.05 F(1,65) = 1.66, p > 0.05 F(1,65) = 0.03, p > 0.05
Male reproductive weight (1C) *F(1,31) = 16.09, p < 0.01 *F(1,31) = 6.87, p = 0.01 F(1,31) = 0.25, p > 0.05
Female reproductive weight (1D) F(1,34) = 0.12, p > 0.05 F(1,34) = 2.05, p > 0.05 F(1,34) = 0.35, p > 0.05
Terminal weight (Table 2) *F(1,65) = 199.8, p < 0.01 *F(1,65) = 150.9, p < 0.01 F(1,65) = 1.72, p > 0.05 F(1,65) = 2.41, p > 0.05 F(1,65) = 0.27, p > 0.05 F(1,65) = 1.22, p > 0.05 F(1,65) = 0.93, p > 0.05

*Indicates a significant main effect or interaction. Blank boxes indicate an absence of a particular factor from analysis. The figure or table number is included in parentheses following the description of each metric. α = 0.05.