Computational protocol: Does eating slowly influence appetite and energy intake when water intake is controlled?

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Protocol publication

[…] The main study outcome was ad libitum energy consumption. Other outcomes included ratings of VAS-H, VAS-S, VAS-D, and VAS-T. Paired t-tests were used to compare energy intake, rate of energy consumption, and appetite ratings upon meal completion between fast and slow conditions. VAS-H, VAS-S, VAS-D, and VAS-T ratings were compared across time points and conditions by repeated measures analysis of variance (ANOVA) using within-subjects model. A square root transformation was applied to VAS appetite data prior to ANOVA because the data were not normally distributed. Violation of sphericity was corrected using the Box correction, and corrected degrees of freedom were reported. Significant results are reported, and the effect size is reported as partial eta squared (η2). The equation maximizing the time-by-condition interaction is reported (e.g. cubic model) for all significant ANOVA’s. Post hoc comparisons were performed using paired t-tests using Bonferroni correction []. Area under the curve (AUC) was calculated for ratings of appetite using the trapezoid method, and results were compared using paired t-tests. Meal palatability data were examined by paired t-tests. Data were also examined continuously by correlation analyses (Pearson’s tests) to determine the relationships of TFEQ and H-P scores with the main outcomes. Results are expressed as mean ± standard error of the mean (SEM), and were considered significant at p < 0.05. Data were analyzed using the software Statistica version 6.1 (StatSoft Inc., Tulsa, OK), and SPSS version 16.0 (SPSS Inc., Chicago, IL). […]

Pipeline specifications

Software tools Statistica, SPSS
Application Miscellaneous
Organisms Homo sapiens