Temporal dynamics of subjective sleepiness: A convergence analysis of two scales

Demareva, Valeriia; Valeriia, Viakhireva,; Zayceva, Irina; Isakova, I.A.; Okhrimchuk, Yana; Karina, Zueva,; Demarev, Andrey; Nazarov, Nikolay; Edeleva, Julia

doi:10.1080/09291016.2023.2193791

Cited by 6 publications

(3 citation statements)

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“…Perhaps after 9:00 p.m., the participants transitioned to a nighttime regimen, and they were all sufficiently sleepy and prepared for falling asleep. In our previous study [42], we demonstrated that starting at 9:00 p.m., there was a significant increase in subjective sleepiness across all the SSDD. Other studies have reported similar sleepiness dynamics.…”

Section: Discussionmentioning

confidence: 68%

“…The full description of the study design is provided in [42] and demonstrated in ure 1. The participants connected the Polar H10 sensor to the Polar Sensor Logger A 07:40 p.m.. Then, they filled out personal information and some questionnaires.…”

Section: Methodsmentioning

confidence: 99%

“…Recordings for analysis were collected from the Subjective Sleepiness Dynamics Dataset (SSDD [42]). By the time of this paper's preparation, the total count of participants in the SSDD was equal to 226.…”

Section: Study Samplementioning

confidence: 99%

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Home-Based Dynamics of Sleepiness-Related Conditions Starting at Biological Evening and Later (Beyond Working)

Demareva,

Zayceva,

Viakhireva

et al. 2023

IJERPH

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Shift work requires round-the-clock readiness to perform professional duties, and the workers’ performance highly depends on their sleepiness level, which can be underestimated during a shift. Various factors, including the time of day, can influence sleepiness in shift workers. The objective of this study was to explore the dynamics of sleepiness-related conditions assessed through heart rate variability analysis, starting from the biological evening and continuing in vivo (at home), without the need for artificial alertness support. The participants solely performed regular evening household duties. A total of 32 recordings were collected from the Subjective Sleepiness Dynamics Dataset for analysis. At 8:00 p.m. and every 30 min thereafter, the participants completed cyclic sleepiness scales (the KSS and the SSS) until the time they went to bed, while their heart rate was recorded. The results of the study indicated that during the biological evening, high sleepiness is associated with a ‘stressed’ condition characterized by higher sympathetic activation. Later on, it is associated with a ‘drowsy’ condition characterized by higher parasympathetic activation and a decline in heart rate variability. Our findings provide evidence that the type of condition experienced during high sleepiness depends on the biological time. This should be taken into account when managing work regimes in shift work and developing alertness detectors.

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Section: Discussionmentioning

confidence: 68%

Section: Methodsmentioning

confidence: 99%