Exposure to total 36‐hr sleep deprivation reduces physiological and psychological thermal strain to whole‐body uncompensable passive heat stress in young adult men

Cernych, Margarita; Satas, Andrius; Rapalis, Andrius; Marozas, Vaidotas; Malcienė, Lina; Lukoševičius, Arūnas; Daniusevičiūtė, Laura; Brazaitis, Marius

doi:10.1111/jsr.13055

Cited by 7 publications

(11 citation statements)

References 46 publications

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“…Cardiac index and SVRI did not significantly change with TSD and psychological stress, consistent with prior studies (Kato et al, 2000;Lü et al, 2018). However, seated SV, HR, LVET, and BP all significantly changed with sleep loss and psychological stress as has been shown in some studies (Kato et al, 2000;Meier-Ewert et al, 2004;Zhong et al, 2005;Sauvet et al, 2010;Sunbul et al, 2014;Lü et al, 2018;Bourdillon et al, 2021;Bozer et al, 2021;Cernych et al, 2021), but not others (Kato et al, 2000;Sauvet et al, 2010;Bourdillon et al, 2021;Bozer et al, 2021). Discrepancies in study findings may be due to differences in the severity of TSD and/or stress conditions or in hemodynamic collection methods such as the angle dependency of Doppler.…”

Section: Discussionsupporting

confidence: 85%

“…During non-rapid eye movement (non-REM) sleep, HR and BP decrease from greater parasympathetic activity, while during REM sleep, there is a shift toward greater sympathetic activity; moreover, sleep loss results in less parasympathetic and greater sympathetic activity ( Kato et al, 2000 ; Henelius et al, 2014 ; Tobaldini et al, 2017 ). During TSD and SR, CV measures such as SV ( Lü et al, 2018 ), HR ( Kato et al, 2000 ; Meier-Ewert et al, 2004 ; Zhong et al, 2005 ; Sauvet et al, 2010 ; Sunbul et al, 2014 ; Lü et al, 2018 ; Bourdillon et al, 2021 ), cardiac index (CI) ( Sunbul et al, 2014 ), BP ( Kato et al, 2000 ; Muenter et al, 2000 ; Meier-Ewert et al, 2004 ; Zhong et al, 2005 ; Mullington et al, 2009 ; Sauvet et al, 2010 ; Lü et al, 2018 ; Bourdillon et al, 2021 ; Bozer et al, 2021 ; Cernych et al, 2021 ), and vascular resistance ( Kato et al, 2000 ; Lü et al, 2018 ) have shown inconsistent changes, with some studies reporting alterations, while others show no changes. To our knowledge, no prior study has examined changes in LVET during sleep deprivation.…”

Section: Introductionmentioning

confidence: 99%

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Left Ventricular Ejection Time Measured by Echocardiography Differentiates Neurobehavioral Resilience and Vulnerability to Sleep Loss and Stress

et al. 2022

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There are substantial individual differences (resilience and vulnerability) in performance resulting from sleep loss and psychosocial stress, but predictive potential biomarkers remain elusive. Similarly, marked changes in the cardiovascular system from sleep loss and stress include an increased risk for cardiovascular disease. It remains unknown whether key hemodynamic markers, including left ventricular ejection time (LVET), stroke volume (SV), heart rate (HR), cardiac index (CI), blood pressure (BP), and systemic vascular resistance index (SVRI), differ in resilient vs. vulnerable individuals and predict differential performance resilience with sleep loss and stress. We investigated for the first time whether the combination of total sleep deprivation (TSD) and psychological stress affected a comprehensive set of hemodynamic measures in healthy adults, and whether these measures differentiated neurobehavioral performance in resilient and vulnerable individuals. Thirty-two healthy adults (ages 27–53; 14 females) participated in a 5-day experiment in the Human Exploration Research Analog (HERA), a high-fidelity National Aeronautics and Space Administration (NASA) space analog isolation facility, consisting of two baseline nights, 39 h TSD, and two recovery nights. A modified Trier Social Stress Test induced psychological stress during TSD. Cardiovascular measure collection [SV, HR, CI, LVET, BP, and SVRI] and neurobehavioral performance testing (including a behavioral attention task and a rating of subjective sleepiness) occurred at six and 11 timepoints, respectively. Individuals with longer pre-study LVET (determined by a median split on pre-study LVET) tended to have poorer performance during TSD and stress. Resilient and vulnerable groups (determined by a median split on average TSD performance) showed significantly different profiles of SV, HR, CI, and LVET. Importantly, LVET at pre-study, but not other hemodynamic measures, reliably differentiated neurobehavioral performance during TSD and stress, and therefore may be a biomarker. Future studies should investigate whether the non-invasive marker, LVET, determines risk for adverse health outcomes.

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Section: Discussionsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Left Ventricular Ejection Time Measured by Echocardiography Differentiates Neurobehavioral Resilience and Vulnerability to Sleep Loss and Stress

et al. 2022

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“…These protocols for stress tests are explained in detail and have been extensively studied in previous studies (Hernando et al, 2016;Peralta et al, 2019;Cernych et al, 2021). These will be summarized in the following three subsections.…”

Section: Methodsmentioning

confidence: 99%

Reliability of pulse photoplethysmography sensors: Coverage using different setups and body locations

Armañac-Julián

Kontaxis²,

Rapalis³

et al. 2022

Front.Electron.

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Pulse photoplethysmography (PPG) is a simple and economical technique for obtaining cardiovascular information. In fact, PPG has become a very popular technology among wearable devices. However, the PPG signal is well-known to be very vulnerable to artifacts, and a good quality signal cannot be expected for most of the time in daily life. The percentage of time that a given measurement can be estimated (e.g., pulse rate) is denoted coverage (C), and it is highly dependent on the subject activity and on the configuration of the sensor, location, and stability of contact. This work aims to quantify the coverage of PPG sensors, using the simultaneously recorded electrocardiogram as a reference, with the PPG recorded at different places in the body and under different stress conditions. While many previous works analyzed the feasibility of PPG as a surrogate for heart rate variability analysis, there exists no previous work studying coverage to derive other cardiovascular indices. We report the coverage not only for estimating pulse rate (PR) but also for estimating pulse arrival time (PAT) and pulse amplitude variability (PAV). Three different datasets are analyzed for this purpose, consisting of a tilt-table test, an acute emotional stress test, and a heat stress test. The datasets include 19, 120, and 51 subjects, respectively, with PPG at the finger and at the forehead for the first two datasets and at the earlobe, in addition, for the latter. C ranges from 70% to 90% for estimating PR. Regarding the estimation of PAT, C ranges from 50% to 90%, and this is very dependent on the PPG sensor location, PPG quality, and the fiducial point (FP) chosen for the delineation of PPG. In fact, the delineation of the FP is critical in time for estimating derived series such as PAT due to the small dynamic range of these series. For the estimation of PAV, the C rates are between 70% and 90%. In general, lower C rates have been obtained for the PPG at the forehead. No difference in C has been observed between using PPG at the finger or at the earlobe. Then, the benefits of using either will depend on the application. However, different C rates are obtained using the same PPG signal, depending on the FP chosen for delineation. Lower C is reported when using the apex point of the PPG instead of the maximum flow velocity or the basal point, with a difference from 1% to even 10%. For further studies, each setup should first be analyzed and validated, taking the results and guidelines presented in this work into account, to study the feasibility of its recording devices with respect to each specific application.

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“…Moreover, Fujita et al (2003) noted that, during a 60 min whole-body exposure to 30 • C air and while the lower legs were immersed in 42 • C water, the total sweat loss (indicated by the changes in body weight) was impaired by TSD; however, the increases in regional dry heat loss (reflected by an increase in back and forearm skin blood flow) and body T c were potentiated and diminished, respectively. In addition, after 36 h of TSD, the body T c elevation during iterative exposures to severe humidity) was dampened, despite a reduction in the whole-body sweat loss (Cernych et al, 2021).…”

Section: Thermoregulation In Response To Heatmentioning

confidence: 97%

“…With regard to the impact of PSD, relatively short periods of sleep restriction (1-4 nights; 4-5 h sleep per night) ostensibly do not impose a potent risk for thermoregulatory dysfunction during heat stress (Cernych et al, 2021;Muginshtein-Simkovitch et al, 2015;Tokizawa et al, 2015). Of note, however, is the work by Tokizawa et al (2015) showing that, although a night of PSD (4 h of sleep) did not perturb temperature regulation during morning exercise, it exacerbated the exercise-induced elevation in body T c during successive exercise bouts performed during the same afternoon (ambient conditions: 35 • C, 40% relative humidity).…”

Section: Thermoregulation In Response To Heatmentioning

confidence: 99%

Short‐term sleep deprivation and human thermoregulatory function during thermal challenges

Keramidas

Botonis

2021

Experimental Physiology

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Relatively short periods of inadequate sleep provoke physiological and psychological perturbations, typically leading to functional impairments and degradation in performance. It is commonly accepted that sleep deprivation also disturbs thermal homeostasis, plausibly enhancing susceptibility to cold-and heat-related illnesses.Herein, we summarize the current state of human-based evidence on the impact of short-term (i.e., ≤4 nights) sleep deprivation on autonomic and behavioural thermoeffectors during acute exposure to low and high ambient temperatures. The purpose of this brief narrative review is to highlight knowledge gaps in the area and stimulate future research to investigate whether sleep deprivation constitutes a predisposing factor for the development of thermal injuries.

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Exposure to total 36‐hr sleep deprivation reduces physiological and psychological thermal strain to whole‐body uncompensable passive heat stress in young adult men

Cited by 7 publications

References 46 publications

Left Ventricular Ejection Time Measured by Echocardiography Differentiates Neurobehavioral Resilience and Vulnerability to Sleep Loss and Stress

Left Ventricular Ejection Time Measured by Echocardiography Differentiates Neurobehavioral Resilience and Vulnerability to Sleep Loss and Stress

Reliability of pulse photoplethysmography sensors: Coverage using different setups and body locations

Short‐term sleep deprivation and human thermoregulatory function during thermal challenges

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