Why the study?
The study was conducted to assess applying the Gini coefficient to measure inequality in power spectral density of RR intervals as a psychophysiological indicator of mental stress.
Does the spectral Gini coefficient of heart rate variability change during mental stress compared to rest in healthy subjects?
Does the spectral Gini coefficient of heart rate variability change during mental stress compared to rest in healthy subjects?
The spectral Gini coefficient applied to heart rate variability may serve as an independent and homogeneous psychophysiological indicator of mental stress.
Answers are grounded in this paper and cite their sources.
SpG(LF) rise during stress may mark autonomic response; hypothesis-generating for Gini coefficient in HRV, needs validation before any clinical use.
BACKGROUND: The Gini coefficient is a statistical tool generally used by economists to quantify income inequality. However, it can be applied to any kind of data with unequal distribution, including heart rate variability (HRV). OBJECTIVES: To assess the application of the Gini coefficient to measure inequality in power spectral density of RR intervals, and to use this application as a psychophysiological indicator of mental stress. METHODS: Thirteen healthy subjects (19 ± 1.5 years) participated in this study, and their RR intervals were obtained by electrocardiogram during rest (five minutes) and during mental stress (arithmetic challenge; five minutes). These RR intervals were used to obtain the estimates of power spectral densities (PSD). The limits for the PSD bands were defined from 0.15 to 0.40 Hz for high frequency band (HF), from 0.04 to 0.15 Hz for low frequency band (LF), from 0.04 to 0.085 Hz for first low frequency sub-band (LF1) and from 0.085 to 0.15 Hz for second low frequency sub-band (LF2). The spectral Gini coefficient (SpG) was proposed to measure the inequality in the power distribution of the RR intervals in each of above-mentioned HRV bands. SpG from each band was compared with its respective traditional index of HRV during the conditions of rest and mental stress. All the differences were considered statistically significant for p < 0.05. RESULTS: There was a significant decrease in HF power (p = 0.046), as well as significant increases in heart rate (p = 0.004), LF power (p = 0.033), LF2 power (p = 0.019) and LF/HF (p = 0.002) during mental stress. There was also a significant increase in SpG(LF) (p = 0.009) and SpG(LF2) (p = 0.033) during mental stress. Coefficient of variation showed SpG has more homogeneity compared to the traditional index of HRV during mental stress. CONCLUSIONS: This pilot study suggested that spectral inequality of Heart Rate Variability analyzed using the Gini coefficient seems to be an independent and homogeneous psychophysiological indicator of mental stress. Also, HR, LF/HF, SpG(LF) of HRV are possibly important, reliable and valid indicators of mental stress.
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Sánchez-Hechavarría et al. (2019) studied this question.
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