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9 pages, 1516 KiB

Open AccessArticle

Morningness–Eveningness Preference and Motor Wake–Sleep Inertia in Adolescents

by Vincenzo Natale, Alice Andreose, Valeria Bacaro, Sara Giovagnoli, Federica Giudetti, Martina Grimaldi, Lorenzo Tonetti and Elisabetta Crocetti

Sensors 2024, 24(23), 7668; https://doi.org/10.3390/s24237668 - 30 Nov 2024

Cited by 2 | Viewed by 1175

Abstract

The aim of the present work was to analyze possible differences in the wake–sleep and sleep–wake transition in relation to adolescents’ circadian preference using actigraphy. Overall, 729 participants were enrolled in the research and 443 of them wore actigraphs on the non-dominant wrist for at least three nights. According to the reduced Morningness–Eveningness Questionnaire for Children and Adolescents cut-off scores, 61 participants belonged to the evening-type category, while 38 participants belonged to the morning-type. We extracted the motor activity counts, minute-by-minute, during the wake–sleep and sleep–wake transitions, to depict the motor wake inertia and motor sleep inertia, respectively. We adopted the functional linear modeling statistical framework to examine the changes in both transitions according to chronotype. Overall, the results show a significantly higher motor wake inertia and lower motor sleep inertia in morning compared to evening types. Full article

(This article belongs to the Special Issue Wearable Sensing Technology for Physiological and Behavioral Human Monitoring—2nd Edition)

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6 pages, 946 KiB

Open AccessCommunication

Dissipation of Motor Sleep Inertia and Motor Wake Inertia in Early Relapsing–Remitting Multiple Sclerosis

by Lorenzo Tonetti, Federico Camilli, Sara Giovagnoli, Alessandra Lugaresi and Vincenzo Natale

Sclerosis 2024, 2(1), 1-6; https://doi.org/10.3390/sclerosis2010001 - 26 Dec 2023

Cited by 1 | Viewed by 1348

Abstract

While previous studies have described the time course of the dissipation of motor sleep inertia (around 70 min after wake-up time) and motor wake inertia (around 20 min after bedtime) in healthy controls (HCs), the corresponding knowledge for persons with early relapsing–remitting multiple sclerosis (RRMS) is lacking. To fill in this knowledge gap, we carried out a secondary analysis of previously collected data in 35 persons (24 females; mean age = 31.51 ± 7.74 years) with early relapsing–remitting multiple sclerosis (RRMS) and 35 (24 females; mean age = 31.29 ± 8.02) healthy controls (HCs). Each participant wore an actigraphic Micro Motionlogger Watch (Ambulatory Monitoring, Ardlsey, NY, USA) for seven consecutive days. The Functional Linear Modeling statistical framework was adopted to compare the dissipation of motor sleep inertia as well as motor wake inertia between RRMS and HC. As regards motor sleep inertia, no significant differences in motor activity were observed in the first 70 min after the wake-up time; however, with reference to motor wake inertia, the motor activity of RRMS persons was significantly higher than HCs in approximately the first 30 min after bedtime. Despite the small sample size, this pattern of results suggests that the dissipation of motor wake inertia is only slower in persons with RRMS as opposed to HCs. Full article

(This article belongs to the Special Issue Neuropsychiatric and Quality of Life (QoL) Aspects of Multiple Sclerosis)

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6 pages, 502 KiB

Open AccessArticle

Time Course of Motor Activity Wake Inertia Dissipation According to Age

by Lorenzo Tonetti, Miranda Occhionero, Marco Fabbri, Sara Giovagnoli, Martina Grimaldi, Monica Martoni and Vincenzo Natale

Clocks & Sleep 2022, 4(3), 381-386; https://doi.org/10.3390/clockssleep4030032 - 30 Aug 2022

Cited by 4 | Viewed by 2765

Abstract

The time course of motor activity sleep inertia (maSI) dissipation was recently investigated through actigraphy in an everyday life condition from middle childhood to late adulthood. Motor activity sleep inertia was dissipated in 70 min, and the sleep inertia phenomenon was more evident in younger participants than in older participants. The aim of the current secondary analysis of previously published data was to examine, within the same sample, the time course of motor activity wake inertia (maWI) dissipation, i.e., the motor pattern in the transition phase from wakefulness to sleep, according to age. To this end, an overall sample of 374 participants (215 females), ranging in age between 9 and 70 years old, was examined. Each participant was asked to wear an actigraph around their non-dominant wrist for one week. The variation in the motor activity pattern of the wake–sleep transition according to age was examined through functional linear modeling (FLM). FLM showed that motor activity wake inertia dissipated around 20 min after bedtime. Moreover, a lower age was significantly associated with greater motor activity within the last two hours of wakefulness and the first twenty minutes after bedtime. Overall, this pattern of results seems to suggest that maWI dissipation is comparable to that of maSI. Full article

(This article belongs to the Section Human Basic Research & Neuroimaging)

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21 pages, 7276 KiB

Open AccessArticle

Toward Sustainable Gentle Awakenings and Sleep Inertia Mitigation: A Low-Cost IoT-Based Adaptable Lighting and Temperature Control Approach

by Tan-Jan Ho, Min-Yan Huang, Meng-Yu Chou, Bo-Han Huang and Ru-En Zhuang

Sustainability 2022, 14(13), 7928; https://doi.org/10.3390/su14137928 - 29 Jun 2022

Cited by 6 | Viewed by 3247

Abstract

In this paper, our design aims to assist in sleep inertia reduction and avoid the startle response and irritation caused by alarm-made unpleasant wakeup stimuli. Thus, we propose an approach that employs a soft and alerting sunrise simulation, conditionally utilizes natural light, and appropriately lowers the bedroom temperature for awakening a sleeper tenderly and gradually to gain full alertness. This approach is inspired by known scientific implications confirming the effectiveness of lights and temperatures on wakefulness. In this regard, we present an economical do-it-yourself digital tech-assisted system for bedroom lighting and temperature control. The system design is based on the smartphone and Internet of Things (IoT) technology. We develop the hardware and software in the system for implementing three IoT-based control tasks. One is the tuning of artificial light brightness using the pulse width modulation technique. Another is the opening of the window curtain using stepper motor control and light detection. The other is the activation of the air-conditioning setting using an infrared remote control and temperature detection. We construct a testbed for conducting experiments. Experimental results demonstrate that the proposed system can execute task requirements satisfactorily. The proposed system is promising for achieving our goal. It embodies features of sustainability. Full article

(This article belongs to the Section Sustainable Engineering and Science)

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6 pages, 469 KiB

Open AccessArticle

Time Course of Motor Sleep Inertia Dissipation According to Age

by Lorenzo Tonetti, Marco Fabbri, Sara Giovagnoli, Monica Martoni, Miranda Occhionero and Vincenzo Natale

Brain Sci. 2022, 12(4), 424; https://doi.org/10.3390/brainsci12040424 - 23 Mar 2022

Cited by 7 | Viewed by 2621

Abstract

Sleep inertia (SI) refers to a complex psychophysiological phenomenon observed after morning awakening that can be described as the gradual recovery of waking-like status after a night of sleep. The time course of SI dissipation in an everyday life condition is little studied. The present study aims to investigate the SI dissipation in motor activity, as a function of age, upon spontaneous morning awakening after a usual night-time sleep. To this end, we performed a retrospective study in a naturalistic setting in a wide life span sample: 382 healthy participants (219 females) from middle childhood (9 years old) to late adulthood (70 years old). Participants were required to wear the actigraph on the non-dominant wrist for at least seven consecutive nights. Results show that SI of motor activity is dissipated in 70 min. Mean motor activity in such a time window was significantly modulated by age: lower age corresponded to higher motor activity. Full article

(This article belongs to the Special Issue The Mechanisms of Sleep Function and Regulation for Health and Cognitive Performance)

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