ArticleInternational journal of cardiology. Heart & vasculature2024
Changes in heart rate variability during an eHealth behavior change intervention program in patients with cardiovascular disease.
Article in International journal of cardiology. Heart & vasculature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03178305 (Do Cardiac Health), which is not on this map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Do Cardiac Health: Advanced New Generation Ecosystem - Phase 2
Who cites it
2 citing papers in PubMed.
- Artificial intelligence in neurocardiology: decoding brain-heart network interactions for clinical and translational insights.Frontiers in neuroscience · 2026Review
- Recent highlights from the International Journal of Cardiology Heart & Vasculature: cardiometabolic disease.International journal of cardiology. Heart & vasculature · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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