Changes in resting vmHRV predicting changes in SSRTs
To test our hypothesis that increases in resting vmHRV will lead to
improvements in the ESST performance (i.e., faster SSRTs) and vice
versa, a linear regression model was performed in R Studio (R Core Team,
2022). In this model, resting vmHRV change scores were entered as
predictor, whereas SSRT change scores were entered as outcome variable.
Participants’ age and sex were included as covariates.
Results
The final sample comprised N = 66 participants (55.0 % females),
with a mean age of 22.39 (SD = 3.08) (see table 1).