Key result
eHealth behavioral intervention is linked to decreased heart rate variability despite improved health behaviors.
Why the study?
Cardiovascular disease risk is linked to health behaviors with the autonomic nervous system playing a key role, but whether ECG-based autonomic indices change during an eHealth intervention and associate with health behavior improvements was unexamined.
Does an eHealth-based behavior change intervention program improve heart rate variability in patients with cardiovascular disease?
Cohort (n=58)
Yes
Does an eHealth-based behavior change intervention program improve heart rate variability in patients with cardiovascular disease?
In patients with cardiovascular disease, an eHealth-based behavioral intervention improved self-reported health behaviors but did not improve heart rate variability, which paradoxically decreased over a 6-month period.
eHealth behavior gains did not raise RMSSD in CVD; leaves open HRV utility as intervention outcome.
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.
No takes yet. Share an insight, caveat, or question.
Roovers et al. (2024) conducted a cohort in Cardiovascular disease (n=58). eHealth-based behavior intervention was evaluated on Change in heart rate variability (indexed as RMSSD) from baseline to 6 months (B = -19.34, 95% CI -36.29 to -2.38, p=0.026). During a 6-month eHealth-based behavioral intervention program in patients with cardiovascular disease, heart rate variability (RMSSD) significantly decreased (B = -19.34, p=0.026) and was not consistently associated with observed improvements in health behaviors.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: