Evidence map›Paper›PMID 31508693›Full record

ArticleArquivos brasileiros de cardiologia2019

Introduction of Application of Gini Coefficient to Heart Rate Variability Spectrum for Mental Stress Evaluation.

Miguel Enrique Sánchez-Hechavarría, Shreya Ghiya, Ramon Carrazana-Escalona, Sergio Cortina-Reyna, Adán Andreu-Heredia, Carlos Acosta-Batista, Nicolás Armando Saá-Muñoz

Abstract readEvaluation Study
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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  7. The Neurolinguistics of the Heart.Arquivos brasileiros de cardiologia · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Miguel Enrique Sánchez-HechavarríaDepartamento de Ciencias Básicas y Morfología - Facultad de Medicina - Universidad Católica de la Santísima Concepción, Concepción - Chile.ORCID 0000-0001-9461-203X
Shreya GhiyaDepartment of Kinesiology, San Francisco State University, San Francisco - USA.ORCID 0000-0001-8109-9177
Ramon Carrazana-EscalonaDepartamento de Ciencias Basicas Biomédicas - Facultad de Medicina 1 - Universidad de Ciencias Médicas de Santiago de Cuba, Santiago de Cuba - Cuba.ORCID 0000-0003-0298-9425
Sergio Cortina-ReynaDepartamento de Ciencias Basicas Biomédicas - Facultad de Medicina 1 - Universidad de Ciencias Médicas de Santiago de Cuba, Santiago de Cuba - Cuba.ORCID 0000-0003-0384-7883
Adán Andreu-HerediaDepartamento de Ciencias Basicas Biomédicas - Facultad de Medicina 1 - Universidad de Ciencias Médicas de Santiago de Cuba, Santiago de Cuba - Cuba.ORCID 0000-0002-8852-4591
Carlos Acosta-BatistaHospital Universitario Calixto García - Universidad de Ciencias Médicas de La Habana, La Habana - Cuba.ORCID 0000-0003-4409-5753
Nicolás Armando Saá-MuñozCentro de Simulación - Departamento de Ciencias Clínicas y Preclínicas - Facultad de Medicina - Universidad Católica de la Santísima Concepción, Concepción - Chile.ORCID 0000-0003-4407-950X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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).

objectivesTo 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.

methodsThirteen 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.

resultsThere 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.

conclusionsThis 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.

Indexed as

AdolescentCase-Control StudiesCross-Over StudiesElectroencephalographyFemaleHeart RateHumansMalePilot ProjectsReference ValuesReproducibility of ResultsROC CurveStatistics, NonparametricStress, PsychologicalYoung Adult

Identifiers

PMID31508693
PMCPMC7020869

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.