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Repeatability of heart rate variability measures
Emily B Schroeder1, Eric A Whitsel, Gregory W Evans
1Duke University School of Medicine, Durham, NC, USA.
Insights
This study found that longer heart rate variability (HRV) recordings, at least 5 minutes, offer better repeatability for epidemiological research. Shorter 10-second HRV measures can be improved by averaging multiple recordings.
Area of Science:
- Cardiology
- Physiology
- Biostatistics
Background:
- Limited data exists on the repeatability of short-term heart rate variability (HRV) measurements.
- Accurate HRV measures are crucial for epidemiological studies and clinical assessments.
Purpose of the Study:
- To assess the repeatability of common HRV measures across different recording lengths (10-seconds, 2-minutes, 6-minutes).
- To provide evidence-based recommendations for optimal HRV recording durations in research.
Main Methods:
- Collected HRV data from 63 healthy adults (aged 45-64) using 10-second, 2-minute, and 6-minute recordings over two separate visits.
- Employed nested, random effects models to partition measurement error and calculate intraclass correlation coefficients (ICCs).
Main Results:
- Repeatability, indicated by ICCs, increased with recording length: ICCs > 0.7 for 6-minute measures and 2-minute time-domain measures.
- ICCs > 0.5 for 2-minute frequency-domain measures; 10-second recordings showed lower repeatability, improved by averaging multiple measures.
- High correlations were observed between HRV measures from different recording durations.
Conclusions:
- Findings support using recording durations of at least 5 minutes for epidemiological studies to ensure reliable HRV data.
- For shorter 10-second HRV recordings, averaging multiple measurements or employing statistical corrections for measurement error is recommended.
Abstract:
Due to the sparse data on the repeatability of short and ultra-short term heart rate variability (HRV) measures, we measured the repeatability of common HRV measures derived from 10-second, 2-minute, and 6-minute recordings in 63 healthy men and women, aged 45-64, in Chapel Hill, North Carolina. Three 10-second and 2 six-minute heart rate recordings were obtained during each of 2 visits, separated by 1 to 2 weeks. We partitioned the measurement error into components and computed intraclass correlation coefficients using nested, random effects models. Repeatability improved with the length of recording: intraclass correlation coefficients were greater than 0.7 for 6-minute measures and 2-minute time domain measures and greater than 0.5 for 2-minute frequency domain measures. Repeatability of measures from 10-second records was lower, but improved considerably when the mean from 2 or 3 records was used. Correlations between the same measures from different length recordings were quite high. Our findings support the use of records of at least 5 minutes in length in epidemiological studies, in accordance with previous guidelines. Researchers using 10-second records should consider taking the mean of several recordings, when possible, or using statistical methods to correct for measurement error.
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