Cardiac autonomic activity during sleep in high-altitude resident children compared with lowland residents

Hill, Catherine M.; Bucks, Romola S.; Cellini, Nicola; Motamedi, Shayan; Carroll, Annette; Heathcote, Kate; Webster, Rebecca; Simpson, David M.

doi:10.1093/sleep/zsy181

Cited by 8 publications

(4 citation statements)

References 60 publications

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“…the bias is not constant). In the new generation of multisensory wearables, the consistency of the algorithm used in measuring sleep is further challenged by the fact that the relationship between cardiac features and sleep stages may vary as a function of different factors such as age, sex and even by geographical area where participants live (105). Of concern is the growing perception from the public that population-based sleep data as provided by wearables companies (obtained by a specific sub-sample of the general population -the wearables users)…”

Section: A C C E P T E Dmentioning

confidence: 99%

Wearable Sleep Technology in Clinical and Research Settings

Zambotti

Cellini

Goldstone

et al. 2019

Medicine &Amp; Science in Sports &Amp; Exercise

Self Cite

340

257

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The accurate assessment of sleep is critical to better understand and evaluate its role in health and disease. The boom in wearable technology is part of the digital health revolution and is producing many novel, highly sophisticated and relatively inexpensive consumer devices collecting data from multiple sensors and claiming to extract information about users" behaviors, including sleep. These devices are now able to capture different bio-signals for determining, for example, heart rate and its variability, skin conductance, and temperature, in addition to activity.They perform 24/7, generating overwhelmingly large datasets (Big Data), with the potential of offering an unprecedented window on users" health. Unfortunately, little guidance exists within and outside the scientific sleep community for their use, leading to confusion and controversy about their validity and application. The current state-of-the-art review aims to highlight use, validation and utility of consumer wearable sleep-trackers in clinical practice and research.Guidelines for a standardized assessment of device performance is deemed necessary, and several critical factors (proprietary algorithms, device malfunction, firmware updates) need to be considered before using these devices in clinical and sleep research protocols. Ultimately, wearable sleep technology holds promise for advancing understanding of sleep health, however, a careful path forward needs to be navigated, understanding the benefits and pitfalls of this technology as applied in sleep research and clinical sleep medicine.

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Section: A C C E P T E Dmentioning

confidence: 99%

Wearable Sleep Technology in Clinical and Research Settings

Zambotti

Cellini

Goldstone

et al. 2019

Medicine &Amp; Science in Sports &Amp; Exercise

Self Cite

340

257

View full text Add to dashboard Cite

show abstract

“…However, sensitivity analysis employing stricter threshold values for inclusion in the analysis set (ranging from 70% to 100%) generated highly compatible results, albeit with substantially reduced sample sizes. Thus, it is unlikely that this parameterization of epochs influenced the conclusions drawn; however, an alternative parametrization by identifying 5 consecutive minutes of sleep epochs of the same stage and analyzing HRV during this time 60 could be used in future studies.…”

Section: Limitations and Future Studiesmentioning

confidence: 99%

Parasympathetic activity is reduced during slow-wave sleep, but not resting wakefulness, in patients with chronic fatigue syndrome

Fatt

Beilharz

Joubert

et al. 2020

Journal of Clinical Sleep Medicine

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Study Objectives: Physiological dearousal characterized by an increase in parasympathetic nervous system activity is important for good-quality sleep. Previous research shows that nocturnal parasympathetic activity (reflected by heart rate variability [HRV]) is diminished in individuals with chronic fatigue syndrome (CFS), suggesting hypervigilant sleep. This study investigated differences in nocturnal autonomic activity across sleep stages and explored the association of parasympathetic activity with sleep quality and self-reported physical and psychological wellbeing in individuals with CFS. Methods: Twenty-four patients with medically diagnosed CFS, and 24 matched healthy control individuals participated. Electroencephalography and HRV were recorded during sleep in participants' homes using a minimally invasive ambulatory device. Questionnaires were used to measure self-reported wellbeing and sleep quality. Results: Sleep architecture in patients with CFS differed from that of control participants in slower sleep onset, more awakenings, and a larger proportion of time spent in slow-wave sleep (SWS). Linear mixed-model analyses controlling for age revealed that HRV reflecting parasympathetic activity (normalized high frequency power) was reduced in patients with CFS compared to control participants, particularly during deeper stages of sleep. Poorer self-reported wellbeing and sleep quality was associated with reduced parasympathetic signaling during deeper sleep, but not during wake before sleep, rapid eye movement sleep, or with the proportion of time spent in SWS. Conclusions: Autonomic hypervigilance during the deeper, recuperative stages of sleep is associated with poor quality sleep and self-reported wellbeing. Causal links need to be confirmed but provide potential intervention opportunities for the core symptom of unrefreshing sleep in CFS.

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“…This may be related to the fact that this investigation was conducted three months after the start of academic year and they may have adapted to the plateau environment. It should be noted that Qinghai province is a plateau region with an average altitude of 2,300 m, but previous surveys revealed that stress responses to high altitude are usually limited to over 3,000 m above sea level ( 64 , 65 ).…”

Section: Discussionmentioning

confidence: 99%

Sleep disturbance and quality of life among university freshmen in Qinghai–Tibet Plateau of China

Zhang

Ren

et al. 2022

Front. Psychiatry

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PurposeUniversity freshmen are particularly vulnerable as they are undergoing the transition from high school to university with a range of changes. Sleep problems among this group in the Qinghai–Tibet Plateau of China were barely studied. This study aimed to explore sleep disturbance, and its association with quality of life (QoL) and demographic and clinical characteristics among university freshmen in Qinghai–Tibet Plateau, China.MethodsA multistage stratified cluster random sampling method was performed to recruit student participants with a structured questionnaire to collect sociodemographic and clinical characteristics, and lifestyle behaviors. Sleep disturbance including three aspects of sleep disturbance (i.e., difficulty initiating sleep (DIS), difficulty maintaining sleep (DMS), and early morning awakening (EMA)) was assessed using standardized measurement. Multiple logistic regression models were applied to analyze the data.ResultsAmong included 2,769 freshmen, the prevalence of sleep disturbance was 14.8% (95% CI: 14.2–15.5%), and corresponding prevalence of DIS, DMS, and EMA was 8.2% (95% CI: 7.7–8.7%), 8.3% (95% CI: 7.8–8.8%), and 4.2% (95% CI: 3.8–4.6%), respectively. Freshmen with sleeping disturbance had significantly lower QoL in physical [F(1, 2769) = 60.23, p < 0.001], psychological [F(1, 2769) = 46.18, p < 0.001], social [F(1, 2769) = 23.04, p < 0.001], and environment [F(1, 2769) = 6.07, p = 0.01] domains. Multiple logistic regression analyses revealed that having breakfast five times a week or less (less than three times, OR = 1.79, 95% CI: 1.34–2.40; 3–5 times, OR = 1.40, 95% CI: 1.09–1.79), self-perceived severe Internet dependence (OR = 1.71, 95% CI: 1.11–2.65), self-perceived poor health status (OR = 3.44, 95% CI: 2.06–5.74), high academic stress (OR = 1.42, 95% CI: 1.13–1.78), poor relationship with classmates (OR = 3.44, 95% CI: 1.53–7.71), and severe ADHD symptoms (OR = 1.08, 95% CI: 1.05–1.12) were positively associated with sleeping disturbance.ConclusionSleep disturbance was common among freshmen and is associated with poorer QoL. Prevention and intervention strategies should be developed and implemented, especially among the vulnerable university freshman groups.

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Cardiac autonomic activity during sleep in high-altitude resident children compared with lowland residents

Cited by 8 publications

References 60 publications

Wearable Sleep Technology in Clinical and Research Settings

Wearable Sleep Technology in Clinical and Research Settings

Parasympathetic activity is reduced during slow-wave sleep, but not resting wakefulness, in patients with chronic fatigue syndrome

Sleep disturbance and quality of life among university freshmen in Qinghai–Tibet Plateau of China

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