Heart rate variability predicts sleep efficiency

Gouin, Jean‐Philippe; Wenzel, Kerstin; Deschênes, Sonya S.; Dang-Vu, T.T.

doi:10.1016/j.sleep.2013.11.321

Cited by 20 publications

(9 citation statements)

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“… 70 Building on this literature, a daily diary study showed that when individuals worried about stress and exhibited blunted PNS activity, they experienced greater stress-induced sleep disturbance, ie, higher sleep reactivity. 71 This finding provides laboratory support for synergistic effects of cognitive–emotional hyperarousal and autonomic imbalance on the sleep system. However, some evidence suggests that ANS profiles may not differ between those with high vs low sleep reactivity, 26 thus introducing inconsistencies into the literature that require further exploration.…”

Section: The Basis Of Sleep Reactivitymentioning

confidence: 70%

“…A large number of cognitive and emotional factors correlate with sleep reactivity, including presleep cognitive and somatic arousal, rumination, worry, perceived stress, general arousability, neuroticism, and emotion-oriented coping. 20 , 71 , 75 And indeed, cognitive–emotional arousal moderates the risk for insomnia and sleep disturbance associated with sleep reactivity and stress dysregulation, 20 , 71 thus highlighting their toxic interactions. This relationship is likely bidirectional such that when stress activates cognitive–emotional activity (eg, presleep rumination), the sensitivity of a highly reactive sleep system will be exploited, thus resulting in nighttime wakefulness and poor-quality sleep ( Figure 3 ).…”

Section: The Basis Of Sleep Reactivitymentioning

confidence: 99%

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Hyperarousal and sleep reactivity in insomnia: current insights

Kalmbach

Cuamatzi-Castelan

Tonnu

et al. 2018

NSS

237

143

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Hyperarousal is a key component in all modern etiological models of insomnia disorder. Overall patterns in the literature suggest that over-active neurobiological and psychological systems contribute to difficulty sleeping. Even so, mixed results regarding the specific mechanisms linking hyperarousal to sleep disturbance limit current etiological conceptualizations. Similar basal arousal profiles between individuals with high vs low risk for insomnia in the absence of stress exposure suggest that dysregulated stress “response” rather than general hyperarousal may be a more pertinent marker of risk. In this report, we discuss evidence for hyperarousal in insomnia and explore the role of sleep reactivity. A trait characteristic, sleep reactivity is the degree to which stress disrupts sleep, manifesting as difficulty falling and staying asleep. Premorbid sleep reactivity has been shown to identify individuals at risk for future insomnia disorder, such as highly reactive sleepers (whose sleep systems are sensitive to stress) who are at elevated disease risk. Research points to genetics, family history of insomnia, gender, and environmental stress as factors that influence sleep reactivity. Importantly, stress-related cognitive–emotional reactivity (e.g., rumination, worry) may exploit the vulnerability of a highly reactive sleep system. We propose that sleep reactivity and cognitive–emotional reactivity may share a bidirectional relationship, conferring an insalubrious environment for sleep in response to stress. Future research on sleep reactivity is needed to identify its neurobiology, characterize its relationship with cognitive–emotional reactivity, and explore the potential clinical utility of sleep reactivity in treatment planning.

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Section: The Basis Of Sleep Reactivitymentioning

confidence: 70%

Section: The Basis Of Sleep Reactivitymentioning

confidence: 99%

Hyperarousal and sleep reactivity in insomnia: current insights

Kalmbach

Cuamatzi-Castelan

Tonnu

et al. 2018

NSS

237

143

View full text Add to dashboard Cite

show abstract

“…HRV is a widely used tool in many research areas, e.g., cardiovascular, preventive medicine, and sport [ 38 , 39 , 40 , 41 , 42 , 43 , 44 ], due to its non-invasive and reliable characteristics that permit assessing ANS and SAN activation. Nowadays, long- and short-term recordings (i.e., 24 h and 5 min, respectively) are considered the more reasonable options for HRV analysis.…”

Section: Discussionmentioning

confidence: 99%

Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts

Rossi

Pedreschi

Clifton

et al. 2020

Sensors

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Application of ultra–short Heart Rate Variability (HRV) is desirable in order to increase the applicability of HRV features to wrist-worn wearable devices equipped with heart rate sensors that are nowadays becoming more and more popular in people’s daily life. This study is focused in particular on the the two most used HRV parameters, i.e., the standard deviation of inter-beat intervals (SDNN) and the root Mean Squared error of successive inter-beat intervals differences (rMSSD). The huge problem of extracting these HRV parameters from wrist-worn devices is that their data are affected by the motion artifacts. For this reason, estimating the error caused by this huge quantity of missing values is fundamental to obtain reliable HRV parameters from these devices. To this aim, we simulate missing values induced by motion artifacts (from 0 to 70%) in an ultra-short time window (i.e., from 4 min to 30 s) by the random walk Gilbert burst model in 22 young healthy subjects. In addition, 30 s and 2 min ultra-short time windows are required to estimate rMSSD and SDNN, respectively. Moreover, due to the fact that ultra-short time window does not permit assessing very low frequencies, and the SDNN is highly affected by these frequencies, the bias for estimating SDNN continues to increase as the time window length decreases. On the contrary, a small error is detected in rMSSD up to 30 s due to the fact that it is highly affected by high frequencies which are possible to be evaluated even if the time window length decreases. Finally, the missing values have a small effect on rMSSD and SDNN estimation. As a matter of fact, the HRV parameter errors increase slightly as the percentage of missing values increase.

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“…Adding to this literature, a recent study by Dang-Vu's team examined parasympathetic activity (high-frequency and low-frequency heart rate variability [HF-and LF-HRV]) in association with stress exposure, worry and sleep (Gouin, Wenzel, Deschenes, & Dang-Vu, 2013). The authors found that low HF-HRV during worry (i.e.…”

Section: Neurobiology Next Steps: Stress Dysregulationmentioning

confidence: 99%

The impact of stress on sleep: Pathogenic sleep reactivity as a vulnerability to insomnia and circadian disorders

Kalmbach

Anderson

Drake

2018

Journal of Sleep Research

325

224

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Sleep reactivity is the trait-like degree to which stress exposure disrupts sleep, resulting in difficulty falling and staying asleep. Individuals with highly reactive sleep systems experience drastic deterioration of sleep when stressed, whereas those with low sleep reactivity proceed largely unperturbed during stress. Research shows that genetics, familial history of insomnia, female gender and environmental stress influence how the sleep system responds to stress. Further work has identified neurobiological underpinnings for sleep reactivity involving disrupted cortical networks and dysregulation in the autonomic nervous system and hypothalamic-pituitary-adrenal axis. Sleep reactivity is most pathologically and clinically pertinent when in excess, such that high sleep reactivity predicts risk for future insomnia disorder, with early evidence suggesting high sleep reactivity corresponds to severe insomnia phenotypes (sleep onset insomnia and short sleep insomnia). High sleep reactivity is also linked to risk of shift-work disorder, depression and anxiety. Importantly, stress-related worry and rumination may exploit sensitive sleep systems, thereby augmenting the pathogenicity of sleep reactivity. With the development of cost-effective assessment of sleep reactivity, we can now identify individuals at risk of future insomnia, shift-work disorder and mental illness, thus identifying a target population for preventive intervention. Given that insomniacs with high sleep reactivity tend to present with severe insomnia phenotypes, patient sleep reactivity may inform triaging to different levels of treatment. Future research on sleep reactivity is needed to clarify its neurobiology, characterize its long-term prospective associations with insomnia and shift-work disorder phenotypes, and establish its prognostic value for mental illness and other non-sleep disorders.

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Heart rate variability predicts sleep efficiency

Cited by 20 publications

References 0 publications

Hyperarousal and sleep reactivity in insomnia: current insights

Hyperarousal and sleep reactivity in insomnia: current insights

Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts

The impact of stress on sleep: Pathogenic sleep reactivity as a vulnerability to insomnia and circadian disorders

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