Sas software version 7

Statistical analysis was conducted using SAS software version 7 (SAS Institute, Cary, NC, USA). The optimal sample size was determined using the G power program version 3.1 (power = 0.90 and effect size = 0.5), resulting in a calculated sample size of 10 per group. Data were presented as means ± standard deviation (SD) for normally distributed data, as confirmed using the Proc univariate procedure. One-way analysis of variance (ANOVA) was employed for data analysis. Tukey’s test assessed significant differences among the groups, with significance set at p < 0.05.

All data were evaluated statistically using SAS software version 7 (SAS Institute, Cary, NC, USA). The results are expressed as means ± standard deviations. Two-way ANOVA was used to determine the significance of dietary protein and exercise in the metabolic effects at a single time point at the end of the experiment. The significant differences among the groups were identified using Tukey’s test at p < 0.05.

Statistical analysis was performed using SAS software version 7 (SAS Institute, Cary, NC), and all results are expressed as a means ± SD. The variables that were measured at different time points were analyzed with two-way repeated measures ANOVA with time and group as independent variables and interaction term between time and group. One-way ANOVA was used to assess the metabolic effects of control, curcumin, THC, 17β-estradiol (a positive control), and normal controls (rats with saline injection) at a single time point at the end of the experiment. Significant differences in the main effects among the groups were identified by Tukey’s test at P < 0.05.

Statistical analysis was performed using SAS software version 7 (SAS Institute, Cary, NC, USA). Results were presented as means ± standard deviation (SD) when the normal distribution was checked using Proc univariate. One-way analysis of variance (ANOVA) was used to separately assess the metabolic effects of the control, GEB-L, and GEB-H groups for the measurements that were taken once at the end of the experiment. The variables were measured over multiple time points and were analyzed with two-way repeated measures ANOVA. For this, time and group were independent variables and there was an interaction term between time and group. Significant differences in the main effects between the groups were identified by Tukey's test at P < 0.05.

SAS software version 7 (SAS Institute, Cary, NA, USA) was used for statistical analysis. The sample size for each group was determined using a G power program (power = 0.90 and effect size = 0.5), and the calculated sample size was 10 per group. The results are expressed as the means ± standard deviation (SD) if they had a normal distribution in Proc univariate. The measurements were analyzed statistically using one-way ANOVA. The differences among the groups were assessed using a Tukey’s test. The statistical differences were considered significant at p < 0.05.

Statistical analysis was performed using SAS software version 7 (SAS Institute). Sample size was calculated using a G power program (power = 0.90), and sample size of each group was 10. Results were expressed as means ± standard deviation (SD) when the normal distribution was checked using Proc univariate. The variables that were measured over multiple time points were tested with two-way repeated measure ANOVA, with time and group as the independent variables and an interaction term between time and groups. One-way ANOVA was used to determine the metabolic effects of the OVX-control, CFM, LFE, CFLF, and 17β-estradiol (a positive-control) groups at a single time point, when the results were measured once at the end of the experiment. Significant differences in the main effects among the groups were identified by Tukey’s test at p < 0.05.