Neurobehavioral Symptoms and Heart Rate Variability: Feasibility of Remote Collection Using Mobile Health Technology. Issue 3 (1st May 2022)

• Record Type: Journal Article
• Authors: Nabasny, Andrew; Rabinowitz, Amanda; Wright, Brittany; Wang, Jijia; Preminger, Samuel; Terhorst, Lauren; Juengst, Shannon B.
• Editors: Rabinowitz, Amanda R.; Juengst, Shannon B.
• Is Part Of: Journal of head trauma rehabilitation. Volume 37:Issue 3(2022)
• Page Start: 178
• Page End: 188
• Publication Date: 2022-05-01
• Subjects: ecological momentary assessment -- EMA -- heart rate variability -- mHealth -- neurobehavioral -- traumatic brain injury; Brain damage -- Patients -- Rehabilitation -- Periodicals; Brain damage -- Periodicals; 617.4810443
• DOI: 10.1097/HTR.0000000000000764
• Languages: English
• ISSNs: 0885-9701

Abstract

Abstract : Objectives: To determine the covariance of heart rate variability (HRV) and self-reported neurobehavioral symptoms after traumatic brain injury (TBI) collected using mobile health (mHealth) technology. Setting: Community. Participants: Adults with lifetime history of TBI ( n = 52) and adults with no history of brain injury ( n = 12). Design: Two-week prospective ecological momentary assessment study. Main Measures: Behavioral Assessment Screening Tool (BASTmHealth ) subscales (Negative Affect, Fatigue, Executive Dysfunction, Substance Abuse, and Impulsivity) measured frequency of neurobehavioral symptoms via a RedCap link sent by text message. Resting HRV (root mean square of successive R-R interval differences) was measured for 5 minutes every morning upon waking using a commercially available heart rate monitor (Polar H10, paired with Elite HRV app). Results: Data for n = 48 ( n = 38 with TBI; n = 10 without TBI) participants were included in covariance analyses, with average cross-correlation coefficients (0-day lag) varying greatly across participants. We found that the presence and direction of the relationship between HRV and neurobehavioral symptoms varied from person to person. Cross-correlation coefficients r ≤ −0.30, observed in 27.1% to 29.2% of participants for Negative Affect, Executive Dysfunction, and Fatigue, 22.9% of participants for Impulsivity, and only 10.4% of participants for Substance Abuse, supported our hypothesis that lower HRV would covary with more frequent symptoms. However, we also found 2.0% to 20.8% of participants had positive cross-correlations ( r ≥ 0.30) across all subscales, indicating that higher HRV may sometimes correlate with more neurobehavioral symptoms, and 54.2% to 87.5% had no significant cross-correlations. Conclusions: It is generally feasible for community-dwelling adults with and without TBI to use a commercially available wearable device to capture daily HRV measures and to complete a short, electronic self-reported neurobehavioral symptom measure for a 2-week period. The covariance of HRV and neurobehavioral symptoms over time suggests that HRV could be used as a relevant physiological biomarker of neurobehavioral symptoms, though how it would be interpreted and used in practice would vary on a person-by-person and symptom domain basis and requires further study.