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vol.13 special issueConstruction and validation of the Inventory of Negative and Disturbing Emotional Responses in Pandemic Contexts (IREN-35) in the mexican populationPersonal motivation and learning self-management in students, as result of the transition to online courses during COVID-19 pandemic author indexsubject indexsearch form
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Nova scientia

On-line version ISSN 2007-0705

Abstract

ZAPATA SALAZAR, Joel; RIOS ESPARZA, Jesús Alberto  and  SANTOS RAMIREZ, Stefany de los. COVID-19 confinement and detection of non-organic sleep-wake cycle disorders in high-performance athletes. Nova scientia [online]. 2021, vol.13, n.spe.  Epub May 28, 2021. ISSN 2007-0705.  https://doi.org/10.21640/ns.v13ie.2735.

Introduction.

The study of sleep is a complex phenomenon that requires an interdisciplinary approach. Sleep-related behavior and the disorders that may derive from it, are a phenomenon influenced by various economic, social, physical and mental health factors, as well as individual habits. Collado (2016) refers that the high morbidity rates linked to sleep disorders have become a public health problem. Confinement due to the COVID-19 pandemic has modified sleep-wake cycles among the population, exposing them to mental health risks. This condition significantly affects high performance athletes who must maintain stability in their training routines.

Method.

The present study is quantitative with an exploratory, cross-sectional design and correlational scope. We worked with an incidental sample, made up of 68 participants: 33 men and 35 women, whose central inclusion criterion was adherence to formal sports programs. The objective of the study was to explore the possible relationship between confinement due to the COVID-19 pandemic and possible non-organic disorders. Its justification arises from the fact that the investigations related to the epidemiological and polysomnographic profile in the Mexican population are still incipient. For this, the Oviedo’s Sleep Questionnaire (OSQ) (Bobes et al., 2000), was applied, wich is made up of 15 items, grouped into 3 subscales that measure: subjective sleep satisfaction, insomnia and hypersomnia.

Results.

A significant correlation was found in the changes in sleep-wake patterns caused by overexposure to electronic devices, less daily daytime activity, break with daily habits and patterns of work/rest and parasomnias.

Conclusion.

The results coincide with research carried out in other sociodemographic profiles. The change in habits and patterns linked to sleep behavior influence the presence of non-organic sleep-wake disorders in the studied population, presenting fatigue, distraction, decreased ability to work in a team and integrate information, as well as to make decisions and deficits in their physical, sports and socio-occupational performance.

Keywords : sleep disorders; sleep-wake; athletes; confinement; COVID-19; detection; sleep patterns; pandemic; health risks; electronic devices.

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