Polysomnographic analysis of respiratory events during sleep in young nonobese Japanese adults without clinical complaints of sleep apnea

Okura, Mutsumi; Nonoue, Shigeru; Tsujisaka, Akiko; Haraki, Shingo; Yokoe, Chizuko; Taniike, Masako; Kato, Takafumi

doi:10.5664/jcsm.8498

Cited by 4 publications

(5 citation statements)

References 39 publications

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“…The prevalence of SAS was 3.2% (282/8837) in our study, which is well within the range of SAS prevalence in Japan 22 . With regards to the COVID-19+ status, none of the participants had received the COVID-19 vaccine during the research period, and a positive polymerase chain reaction result for SARS-CoV-2 was confirmed prior to hospitalization and hotel therapy as per government standards 18 .…”

Section: Discussionsupporting

confidence: 85%

“…We however specifically asked if “you have ever been diagnosed with and treated for SAS at a hospital or medical institution”. The prevalence of SAS in the current study was 3.2%, which is well within the range of SAS prevalence in Japan 22 , and thus we believe that SAS subjects are not overestimated. We were unable to include subjects who died as a result of severe COVID-19 infection, but because the ratio for these cases is estimated to be very low 18 , the overall outcome of the study would remain unchanged.…”

Section: Discussionsupporting

confidence: 81%

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Influences of sleep and lifestyle factors on the risk for covid-19 infections, from internet survey of 10,000 Japanese business workers

Nakashima

Amano

Nishino

et al. 2022

Sci Rep

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We conducted an internet survey to assess sociodemographic variables, lifestyle factors, sleep problems, and comorbidities for sleep apnea syndrome (SAS) in COVID-19 and influenza (FLU) infections. Data from 10,323 workers (50.0% male) were analyzed. COVID-19 was diagnosed in 144 subjects (COVID-19+), and 8,693 were classified as not suspected to be infected (COVID-19−). SAS had been diagnosed in 35.4% of the COVID-19+ subjects, but only 231 (2.7%) of the 8,693 COVID-19− subjects. COVID-19+ subjects were more susceptible to FLU (35.4%) compared to COVID-19− subjects (3.0%). A multivariate analysis revealed that higher risks of COVID-19+ were linked to the following factors: going out without a face mask (OR 7.05, 95% CI 4.53–11.00), FLU+ (OR 6.33, 95% CI 3.80–10.54), excessive exercise before going to sleep (OR 2.10, 95% CI 1.63–2.70), SAS+ (OR 5.08, 95% CI 2.88–8.94), younger age (OR 1.05, 95% CI 1.03–1.07), falling sleep while sitting or talking with someone (OR 3.70, 95% CI 2.30–5.95), and use of hypnotics (OR 2.28, 95% CI 1.20–4.30). Since sleep impairment played a relatively small role in COVID-19+/SAS− subjects, we assume that SAS itself was a more significant risk factor for COVID-19 infection rather than sleep impairment. A better understanding of the mechanisms that result in increased susceptibility to COVID-19 in SAS is vital for helping prevent COVID-19.

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Section: Discussionsupporting

confidence: 85%

Section: Discussionsupporting

confidence: 81%

Influences of sleep and lifestyle factors on the risk for covid-19 infections, from internet survey of 10,000 Japanese business workers

Nakashima

Amano

Nishino

et al. 2022

Sci Rep

View full text Add to dashboard Cite

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“…The AHI exclusion criteria followed the AASM criteria (Berry et al, 2014). Subjects with AHI ≥5 times/h were excluded from the analyses of this study; they may exhibit a lower quality of sleep than the others even though they did not exhibit signs or symptoms of sleep apnea (Okura et al, 2020).…”

Section: Psgmentioning

confidence: 99%

Discrepancies in the Time Course of Sleep Stage Dynamics, Electroencephalographic Activity and Heart Rate Variability Over Sleep Cycles in the Adaptation Night in Healthy Young Adults

et al. 2021

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ObjectiveThe aim of the present study was to characterize the cyclic sleep processes of sleep-stage dynamics, cortical activity, and heart rate variability during sleep in the adaptation night in healthy young adults.MethodsSeventy-four healthy adults participated in polysomnographic recordings on two consecutive nights. Conventional sleep variables were assessed according to standard criteria. Sleep-stage continuity and dynamics were evaluated by sleep runs and transitions, respectively. These variables were compared between the two nights. Electroencephalographic and cardiac activities were subjected to frequency domain analyses. Cycle-by-cycle analysis was performed for the above variables in 34 subjects with four sleep cycles and compared between the two nights.ResultsConventional sleep variables reflected lower sleep quality in the adaptation night than in the experimental night. Bouts of stage N1 and stage N2 were shorter, and bouts of stage Wake were longer in the adaptation night than in the experimental night, but there was no difference in stage N3 or stage REM. The normalized transition probability from stage N2 to stage N1 was higher and that from stage N2 to N3 was lower in the adaptation night, whereas that from stage N3 to other stages did not differ between the nights. Cycle-by-cycle analysis revealed that sleep-stage distribution and cortical beta EEG power differed between the two nights in the first sleep cycle. However, the HF amplitude of the heart rate variability was lower over the four sleep cycles in the adaptation night than in the experimental night.ConclusionThe results suggest the distinct vulnerability of the autonomic adaptation processes within the central nervous system in young healthy subjects while sleeping in a sleep laboratory for the first time.

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“…The data of this study were derived from a database for the ongoing prospective polysomnographic (PSG) study at Osaka University [23,25]. Subjects were recruited via flyers posted at Osaka University and word of mouth by participants.…”

Section: Subjectsmentioning

confidence: 99%

A lack of specific motor patterns between rhythmic/non-rhythmic masticatory muscle activity and bodily movements in sleep bruxism

et al. 2021

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Purpose: The aims of the present study were to investigate the temporal relationships between jaw and bodily movements and clarify motor processes in the genesis of rhythmic masticatory muscle activity (RMMA) in sleep bruxism (SB). Methods: Video-polysomnography recordings were obtained from ten subjects with SB (mean age: 23.4 ± 1.6 years) and ten matched normal controls (CTL) (mean age: 24.4 ± 3.2 years). RMMA and nonspecific masseter activity (NSMA) were scored in association with bodily movements in the leg, arm, head, and trunk using electromyography and video recordings. The relationship between oromotor episodes and bodily movements was assessed in terms of sleep stage distributions and temporal relationships. Cardiac changes preceding oromotor episodes in stage N2 were assessed. Results: Approximately 80% of RMMA and NSMA were associated with movements in one or more body sites. RMMA and NSMA were more frequently associated with movements of the leg (70-75%) and arm (40-55%) than movements of the head (17-22%) and trunk (5-25%). The relationship between oromotor episodes and bodily movements did not significantly differ among sleep stages. Oromotor episodes and bodily movements did not show a consistent temporal pattern in the SB and CTL groups. Regardless of the temporal relationship between oromotor episodes and bodily movements, the mean heart rate significantly increased by 5 beats before the onset of oromotor episodes. Conclusions: No specific temporal motor patterns were found between RMMA and bodily movements. RMMA and NSMA represent a repertoire of arousalrelated autonomic motor responses during sleep.

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Polysomnographic analysis of respiratory events during sleep in young nonobese Japanese adults without clinical complaints of sleep apnea

Cited by 4 publications

References 39 publications

Influences of sleep and lifestyle factors on the risk for covid-19 infections, from internet survey of 10,000 Japanese business workers

Influences of sleep and lifestyle factors on the risk for covid-19 infections, from internet survey of 10,000 Japanese business workers

Discrepancies in the Time Course of Sleep Stage Dynamics, Electroencephalographic Activity and Heart Rate Variability Over Sleep Cycles in the Adaptation Night in Healthy Young Adults

A lack of specific motor patterns between rhythmic/non-rhythmic masticatory muscle activity and bodily movements in sleep bruxism

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