» Articles » PMID: 39649024

Changes in Heart Rate Variability During an EHealth Behavior Change Intervention Program in Patients with Cardiovascular Disease

Overview
Date 2024 Dec 9
PMID 39649024
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Cardiovascular disease (CVD) risk is associated with health behaviors such as physical inactivity, dietary habits, and smoking. The autonomic nervous system plays a key role in this association. The present longitudinal study examines whether ECG-based indices of autonomic nervous system activity change during an eHealth-based behavior intervention program and assesses whether improvements in health behaviors are associated with increases in parasympathetic autonomic nervous system activity.

Methods: Data from the DoCHANGE-2 (https://clinicaltrials.gov/study/NCT03178305) eHealth-based behavior intervention study in patients with CVD were analyzed for participants with valid ECG recordings (N = 58, mean age = 58.9 [SD = 12.7] years, 21 % women). Heart rate variability (indexed as RMSSD) was calculated from home-recorded (40 s) ECGs over 5-day periods at baseline, 3, and 6 months. Health behaviors, clinical, and psychosocial information was obtained from questionnaires and medical records. Data were analyzed using linear mixed models and general linear models.

Results: Over the 6-month period, RMSSD decreased significantly, with the lowest values at six months (B = -19.336 [95 %CI -36.291; 2.381], p = 0.026). Health behaviors improved significantly during the active (0-3 months) intervention period (B = 13.360 [95 %CI 6.931 19.789], p < 0.001). Higher BMI (B = -0.369 [-0.739; 0.000]; p = 0.05) and older age (B = -0.404 [95 % CI -0.597; - 0.211]; p < 0.001) were associated with lower RMSSD across the three timepoints. No consistent associations were found between changes in health behaviors and changes in RMSSD.

Conclusion: This study shows that changes in HRV during an eHealth-based behavioral intervention were not associated with the observed improvements in health behaviors. These findings require replication in larger well-controlled investigations.

References
1.
Bodin F, McIntyre K, Schwartz J, McKinley P, Cardetti C, Shapiro P . The Association of Cigarette Smoking With High-Frequency Heart Rate Variability: An Ecological Momentary Assessment Study. Psychosom Med. 2017; 79(9):1045-1050. PMC: 5675783. DOI: 10.1097/PSY.0000000000000507. View

2.
Kopp W . Chronically increased activity of the sympathetic nervous system: our diet-related "evolutionary" inheritance. J Nutr Health Aging. 2009; 13(1):27-9. DOI: 10.1007/s12603-009-0005-1. View

3.
Cockerham W . Health lifestyle theory and the convergence of agency and structure. J Health Soc Behav. 2005; 46(1):51-67. DOI: 10.1177/002214650504600105. View

4.
Grol M, De Raedt R . The link between resting heart rate variability and affective flexibility. Cogn Affect Behav Neurosci. 2020; 20(4):746-756. DOI: 10.3758/s13415-020-00800-w. View

5.
Wang H, Gao X, Shi Y, Wu D, Li C, Wang W . Effects of trunk posture on cardiovascular and autonomic nervous systems: A pilot study. Front Physiol. 2022; 13:1009806. PMC: 9623330. DOI: 10.3389/fphys.2022.1009806. View