Key result
Nonlinear heart rate complexity indices significantly increased the variance explained in ratings of depression by 21% (p<0.006) compared to linear indices alone, with effects being stronger in females.
Why the study?
Do nonlinear measures of heart rate complexity better correlate with cognition and mood compared to linear measures in adult males and females?
Population
45 individuals (21 males and 24 females)
Comparison
Nonlinear measures of heart rate complexity… vs Linear approximations of heart rate
Design
Cross-sectional
Authors
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Non-linear HR complexity may aid cognitive-mood assessment; leaves open clinical utility pending larger validation studies.
Cross-Sectional (n=45)
No
Do nonlinear measures of heart rate complexity better correlate with cognition and mood compared to linear measures in adult males and females?
Effect estimate: R2 change = 0.21
p-value: p=<0.006
Nonlinear measures of heart rate complexity may serve as a more effective biomarker for integrated brain functioning and behavior than traditional linear heart rate indices.
Young et al. (2015) conducted a cross-sectional in Healthy participants (n=45). Nonlinear heart rate variability (HR complexity) vs. Linear heart rate variability was evaluated on Variance explained in ratings of depression (R2 change) (R2 change = 0.21, p=<0.006). Nonlinear heart rate complexity indices significantly increased the variance explained in ratings of depression by 21% (p<0.006) compared to linear indices alone, with effects being stronger in females.
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