Evidence map›Paper›PMID 38784138›Full record

ArticleFrontiers in neuroergonomics2024

Assessing cardiovascular stress based on heart rate variability in female shift workers: a multiscale-multifractal analysis approach.

Raquel Delgado-Aranda, Guadalupe Dorantes-Méndez, Anna Maria Bianchi, Juha M Kortelainen, Stefania Coelli, Jorge Jimenez-Cruz, Martin O Méndez

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Article in Frontiers in neuroergonomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Raquel Delgado-ArandaFacultad de Ciencias, Universidad Autónoma de San Luis Potosí, San Luis Potosí, Mexico.
Guadalupe Dorantes-MéndezFacultad de Ciencias, Universidad Autónoma de San Luis Potosí, San Luis Potosí, Mexico.
Anna Maria BianchiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.
Juha M KortelainenVTT Technical Research Center of Finland, Tampere, Finland.
Stefania CoelliDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.
Jorge Jimenez-CruzDepartment of Obstetrics and Prenatal Medicine, University Hospital Bonn, Bonn, Germany.
Martin O MéndezDepartment of Obstetrics and Prenatal Medicine, University Hospital Bonn, Bonn, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Sleep-wake cycle disruption caused by shift work may lead to cardiovascular stress, which is observed as an alteration in the behavior of heart rate variability (HRV). In particular, HRV exhibits complex patterns over different time scales that help to understand the regulatory mechanisms of the autonomic nervous system, and changes in the fractality of HRV may be associated with pathological conditions, including cardiovascular disease, diabetes, or even psychological stress. The main purpose of this study is to evaluate the multifractal-multiscale structure of HRV during sleep in healthy shift and non-shift workers to identify conditions of cardiovascular stress that may be associated with shift work. Methods: The whole-sleep HRV signal was analyzed from female participants: eleven healthy shift workers and seven non-shift workers. The HRV signal was decomposed into intrinsic mode functions (IMFs) using the empirical mode decomposition method, and then the IMFs were analyzed using the multiscale-multifractal detrended fluctuation analysis (MMF-DFA) method. The MMF-DFA was applied to estimate the self-similarity coefficients, α( Results: Compared to non-shift workers, shift workers presented an increase in the scaling exponent, α( Conclusion: This study helps to recognize the multifractality of HRV during sleep, beyond simply looking at indices based on means and variances. This analysis helps to identify that shift workers show alterations in fractal properties, mainly on short scales. These findings suggest a disturbance in the autonomic nervous system induced by the cardiovascular stress of shift work.

Indexed as

cardiovascular stressdetrended fluctuation analysisheart rate variabilityshift worksleep

Identifiers

PMID38784138
PMCPMC11112060

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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.