Authors: Mikel Cressman, Jackie Richey, Dantzel Petersen Hancey, Bianka Geraldo, Kayden Barlow, Ainsley Lumsden, Olivia Hubble
Mentors: Patrick Steffen
Insitution: Brigham Young University
Heart rate variability or HRV is a measure of the amount of time between a person’s heartbeats and is related to their physiological response to stress. Social support is an important component of positive health outcomes and plays a part in mediating distress. More research is needed to better understand the connection between HRV, social support and distress. We hypothesize that those with low baseline HRV will have higher distress scores and lower social support than those with high baseline HRV. We also hypothesized that someone with high distress and high social support will have higher HRV than those with high distress and low social support. In this study, social support was measured using the Multidimensional Scale of Perceived Social Support (MSPSS), distress was measured using the Counseling Center Assessment of Psychological Symptoms (CCAPS), and baseline HRV was measured using a NEXUS biofeedback device using ECG leads on the collarbones and left rib. Our sample consisted of 236 college students (17-28 years old; 57.6% female; 85.9% white) drawn from an online recruiting software and student development classes. For the first hypothesis, we will use a MANOVA to compare both low and high HRV baseline with mean MSPSS and CCAPS scores. We will use an ANOVA to compare differences in HRV between those with high MSPSS and high CCAPS scores to those with low MSPSS and high CCAPS for the second hypothesis. We expect to find that those in the lower HRV group will have higher CCAPS scores and lower MSPSS scores when compared to the high HRV group. We also expect to find that participants in the high CCAPS and high MSPSS group will have a higher HRV when compared to the high CCAPS and low MSPSS group.