Abstract
Today’s fast-paced lifestyle has led globally to an increase in sleep deprivation. Although the recommended amount of sleep in a 24 h period is 7–8 h, recent data show that almost 50% of Indians are sleeping 6 h or less and other countries are also reporting a decline in sleep duration. Neurocognitive function decreases in a dose-dependent manner with chronic sleep deprivation, which can impair productivity at work and in daily functioning. Various brain functions involving the frontal lobe can be assessed objectively by conducting a neuropsychology test battery. The research or data in the Indian population is lacking. Hence, this project evaluated neurocognitive functions in real-life setting sleep deprivation. The current study aimed to assess the effect of chronic sleep deprivation in the general public on various neuropsychology functions, mainly involving the prefrontal brain lobe. Volunteers were asked to wear Actiwatch and/to fill the sleep diary for seven consecutive days. The Neuropsychology test battery utilized included Psychomotor Vigilance Task, Forward Digit Span, Iowa Gambling Task, Tower of London, Wisconsin Card Sorting Test, Stroop, and Rey Auditory Verbal Learning Test. Results show that chronic sleep deprivation has the most significant effect on the younger generation as compared to older adults. There was no significant effect on the elderly population. Future large cohort studies are underway to substantiate the findings of this study.
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All procedures performed in this study involving human participants were in accordance with the ethical standards of University of Mumbai, the institute and the research committee of Department of Life Sciences where the research was carried out as part of the Ph.D work. Further, informed consent was obtained from all individual participants included in the study.
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Ramrakhiyani, V., Gandhi, N., Deshmukh, S. (2021). A Progressive Method Based Approach to Understand Sleep Disorders in the Adult Healthy Population. In: Abraham, A., Panda, M., Pradhan, S., Garcia-Hernandez, L., Ma, K. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2019. Advances in Intelligent Systems and Computing, vol 1180. Springer, Cham. https://doi.org/10.1007/978-3-030-49339-4_19
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DOI: https://doi.org/10.1007/978-3-030-49339-4_19
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