The normality of the data was tested by the Shapiro-Wilk test. For the sample characterization, the descriptive statistical method was used, and the results were presented as means and standard deviations (SD) for parametric data, median and interquartile range for non-parametric data, and absolute numbers and frequency for categorical data. The comparison of the sample profile, cardiorespiratory parameters, and HRV indices between groups, at rest, was made using the Student t-test or Mann-Whitney test. For the categorical data, the chi-square test was performed, considering the Yates continuity correction for 2 × 2 cross tables. The Cohen d effect size was calculated, and values over 0.2 and under 0.5 were considered as having small effect, between 0.5 and 0.8 a moderate effect, and higher than 0.8 a high effect.
To compare the effect of the active tilt test on the cardiorespiratory parameters and HRV indices, considering groups and moments, analysis of variance for repeated measures was used. Possible differences were identified by the Bonferroni post-hoc test. The effect size was calculated using Eta-squared (small effect: > 0.01 to < 0.06; moderate effect: ≥ 0.06 to < 0.14; high effect: ≥ 0.14). The level of significance adopted was < 5% and the statistical software used was the
Statistical Package Social Sciences (SPSS Inc., Chicago, IL, USA), version 15.0.
Valente H.B., Gervazoni N.D., Laurino M.J., Vanzella L.M., Stoco-Oliveira M.C., Rodrigues M.V., André L.B., Ribeiro F., de Carvalho A.C, & Vanderlei L.C. (2022). Autonomic and cardiorespiratory responses to the active tilt test in individuals with Parkinson disease: cross-sectional study. Arquivos de Neuro-Psiquiatria, 80(7), 689-698.
