Relation between heart beat fluctuations and cyclic alternating pattern during sleep in insomnia patients

León-Lomelí, R. De; Murguı́a, J. S.; Chouvarda, Ioanna; Méndez, Martín O.; González-Galván, Emilio J.; Alba, Alfonso; Milioli, Giulia; Grassi, Andrea; Terzano, Mario Giovanni; Parrino, Liborio

doi:10.1109/embc.2014.6944067

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…It has been applied to the evaluation of posture [17], exercise [18] and sleep stage classification [19], and classification of asthma [20] and COPD [16,21,22].…”

Section: Detrended Fluctuation Analysis (Dfa)mentioning

confidence: 99%

Linear and Complex Measures of Heart Rate Variability during Exposure to Traffic Noise in Healthy Women

et al. 2018

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Previous studies have described significant impact of different types of noise on the linear behavior of heart rate variability (HRV). However, there are few studies regarding the complexity of HRV during exposure to traffic noise. In this study, we evaluated the complexity of HRV during traffic noise exposure. We analyzed 31 healthy female students aged between 18 and 30 years. Volunteers remained at rest seated under spontaneous breathing during 10 minutes with an earphone turned off, and then they were exposed to traffic noise through an earphone for a period of 10 minutes. The traffic noise was recorded from a very busy city street and the sound was comprised of car, bus, and trucks engines and horn (71-104 dB). We observed no significant changes in the linear analysis of HRV. CFP3 (Cohen's = 1.28, large effect size) and CFP6 (Cohen's = 1.11, large effect size) parameters of chaotic global analysis and Shannon (Cohen's = 1.13, large effect size), Renyi (Cohen's = 1.06, large effect size), and Tsallis (Cohen's = 1.14, large effect size) entropies significantly increased ( < 0.005) during traffic noise exposure. In conclusion, traffic noise under laboratory conditions increased the complexity of HRV through chaotic global analysis and some measures of entropy in healthy females.

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“…It has been applied to the evaluation of posture [17], exercise [18] and sleep stage classification [19], and classification of asthma [20] and COPD [16,21,22].…”

Section: Detrended Fluctuation Analysis (Dfa)mentioning

confidence: 99%

Linear and Complex Measures of Heart Rate Variability during Exposure to Traffic Noise in Healthy Women

et al. 2018

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“…Among the most common sleep complaints in the elderly are insomnia (population frequency ranging from 23 to 34%), and difficulty feeling rested upon waking (7–15%) (1) . Experimental studies in both animals and humans have demonstrated that disruptions in sleep patterns exert considerable effects on brain health (2) .…”

Section: Introductionmentioning

confidence: 99%

Examining the association between Apolipoprotein E (APOE) and self-reported sleep disturbances in non-demented older adults

Tsapanou

Scarmeas

et al. 2015

Neuroscience Letters

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We aimed to examine the association between apolipoprotein E (APOE) and sleep disturbances. This is a cross-sectional study, from the Washington Heights-Inwood Community Aging Project (WHICAP). A total of 1,944 non-demented older adults took part in the study. Sleep dysfunction was measured using sleep categories derived from the RAND Medical Outcomes Study Sleep Scale. Genetic association between APOE-ε4 genotype and sleep disturbances was assessed using unadjusted linear regression models. Secondary analyses were conducted adjusting for age, sex, education, ethnicity and body mass index (BMI). In the unadjusted model, individuals carrying the APOE-ε4 allele showed lower levels of snoring (β=−0.02, SE= 0.01, p =0.010) and sleep apnea (β=−0.01, SE= 0.01, p =0.037) when compared to non-ε4 carriers. After covariates’ adjustment, ε4 carriers demonstrated stronger association with lower levels of both snoring (β=−0.02, SE= 0.01, p=0.006), and sleep apnea (β=−0.01, SE= 0.01, p=0.018). Our results suggest that APOE-ε4 is associated with decreased problems in snoring and sleep apnea, in non-demented older adults.

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“…Concurrent insomnia and SDB could be associated with distinct alterations in sleep physiology. Sleep microstructure [42][43][44][45][46], arousal thresholds [42,47], and sleep fragmentation [10] are aspects of sleep physiology affected in both SDB and insomnia, any of which could mediate a relationship between SDB with comorbid insomnia and the risk of cognitive impairment. Sleep fragmentation has been prospectively associated with an increased risk of incident Alzheimer's disease at 6-year follow-up [48].…”

Section: Discussionmentioning

confidence: 99%

Sleep-Disordered Breathing Risk with Comorbid Insomnia Is Associated with Mild Cognitive Impairment

et al. 2022

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Introduction: Few studies have evaluated the combined association between SDB with comorbid insomnia and mild cognitive impairment (MCI). To test the hypothesis that SDB with comorbid insomnia is associated with greater odds of MCI than either sleep disorder independently, we used ADNI data to evaluate cross-sectional associations between SDB risk with comorbid insomnia status and MCI. Methods: Participants with normal cognition or MCI were included. Insomnia was defined by self-report. SDB risk was assessed by modified STOP-BANG. Logistic regression models evaluated associations between four sleep disorder subgroups (low risk for SDB alone, low risk for SDB with insomnia, high risk for SDB alone, and high risk for SDB with insomnia) and MCI. Models adjusted for age, sex, BMI, APOE4 genotype, race, ethnicity, education, marital status, hypertension, cardiovascular disease, stroke, alcohol abuse, and smoking. Results: The sample (n = 1391) had a mean age of 73.5 ± 7.0 years, 44.9% were female, 72.0% were at low risk for SDB alone, 13.8% at low risk for SDB with insomnia, 10.1% at high risk for SDB alone, and 4.1% at high risk for SDB with insomnia. Only high risk for SDB with comorbid insomnia was associated with higher odds of MCI (OR 3.22, 95% CI 1.57–6.60). Conclusion: Studies are needed to evaluate SDB with comorbid insomnia as a modifiable risk factor for MCI.

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Relation between heart beat fluctuations and cyclic alternating pattern during sleep in insomnia patients

Cited by 7 publications

References 9 publications

Linear and Complex Measures of Heart Rate Variability during Exposure to Traffic Noise in Healthy Women

Linear and Complex Measures of Heart Rate Variability during Exposure to Traffic Noise in Healthy Women

Examining the association between Apolipoprotein E (APOE) and self-reported sleep disturbances in non-demented older adults

Sleep-Disordered Breathing Risk with Comorbid Insomnia Is Associated with Mild Cognitive Impairment

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