Effects of shift work on QTc interval and blood pressure in relation to heart rate variability

Aim: this study the changes of blood pressure (BP), heart rate variability (HRV) characteristics, average weighed rhythmogram variation (AWRV) and QTc in patients with metabolic syndrome (MC) and arterial hypertension (AH) before and after therapy of betablocker, metformin and their combination. Materials: 51 patients with МС and AH were enrolled in the study. The patients were randomization on 3 groups: the monotherapy of nebivolol (N) 5 mg/days (n=18), the monotherapy of metformin (M) 1700 mg/days (n=15) and nebivolol+metformin combination therapy (N+M) (n=18). The estimated variables included of BP, HRV, AWRV and QTc before and after 24 weeks of the treatment. Results: after 24 weeks of the N treatment QTc interval change from 44823 ms to 43317ms (p0.05). Treatment of M changes AWRV from 872234 ms to 761195 (p>0.05), QTc from 44825 ms to 43427 ms (p

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Napping on the night shift and its impact on blood pressure and heart rate variability among emergency medical services workers: study protocol for a randomized crossover trial

Trials ◽

10.1186/s13063-021-05161-4 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

P. Daniel Patterson ◽

Leonard S. Weiss ◽

Matthew D. Weaver ◽

David D. Salcido ◽

Samantha E. Opitz ◽

...

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Heart Rate Variability ◽

Emergency Medical Services ◽

Shift Work ◽

Crossover Trial ◽

Night Shift ◽

Shift Workers ◽

Randomized Crossover Trial ◽

Night Shifts

Abstract Background There is an emerging body of evidence that links exposure to shift work to cardiovascular disease (CVD). The risk of coronary events, such as myocardial infarction, is greater among night shift workers compared to day workers. There is reason to believe that repeated exposure to shift work, especially night shift work, creates alterations in normal circadian patterns of blood pressure (BP) and heart rate variability (HRV) and that these alterations contribute to increased risk of CVD. Recent data suggest that allowing shift workers to nap during night shifts may help to normalize BP and HRV patterns and, over time, reduce the risk of CVD. The risk of CVD related to shift work is elevated for emergency medical services (EMS) shift workers due in part to long-duration shifts, frequent use of night shifts, and a high prevalence of multiple jobs. Methods We will use a randomized crossover trial study design with three study conditions. The targeted population is comprised of EMS clinician shift workers, and our goal enrollment is 35 total participants with an estimated 10 of the 35 enrolled not completing the study protocol or classified as lost to attrition. All three conditions will involve continuous monitoring over 72 h and will begin with a 36-h at-home period, followed by 24 total hours in the lab (including a 12-h simulated night shift), ending with 12 h at home. The key difference between the three conditions is the intra-shift nap. Condition 1 will involve a simulated 12-h night shift with total sleep deprivation. Condition 2 will involve a simulated 12-h night shift and a 30-min nap opportunity. Condition 3 will involve a simulated 12-h night shift with a 2-h nap opportunity. Our primary outcomes of interest include blunted BP dipping and reduced HRV as measured by the standard deviation of the inter-beat intervals of normal sinus beats. Non-dipping status will be defined as sleep hours BP dip of less than 10%. Discussion Our study will address two indicators of cardiovascular health and determine if shorter or longer duration naps during night shifts have a clinically meaningful impact. Trial registration ClinicalTrials.gov NCT04469803. Registered on 9 July 2020

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Lifetime shift work exposure: association with anthropometry, body composition, blood pressure, glucose and heart rate variability

Occupational and Environmental Medicine ◽

10.1136/oemed-2014-102429 ◽

2014 ◽

Vol 72 (3) ◽

pp. 208-215 ◽

Cited By ~ 15

Author(s):

Breno Bernardes Souza ◽

Nayara Mussi Monteze ◽

Fernando Luiz Pereira de Oliveira ◽

José Magalhães de Oliveira ◽

Silvia Nascimento de Freitas ◽

...

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Heart Rate Variability ◽

Body Composition ◽

Shift Work ◽

Work Exposure

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Influence of Shiftwork Duration on Blood Pressure and Heart Rate Variability in Short Rotating 8-hour Shiftworkers

Korean Journal of Occupational and Environmental Medicine ◽

10.35371/kjoem.2001.13.2.180 ◽

2001 ◽

Vol 13 (2) ◽

pp. 180 ◽

Cited By ~ 6

Author(s):

Mi Na Ha ◽

Jai Young Kim ◽

Jung Sun Park ◽

Ho Keun Chung

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Heart Rate Variability

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Early Detection Of Autonomic Neuropathy In Diabetic Minipigs By Blood Pressure And Heart Rate Variability: Relationship With Changes In Vagus Nerve Morphometry

Journal of the Peripheral Nervous System ◽

10.1046/j.1529-8027.2000.abstracts-15.x ◽

2000 ◽

Vol 5 (3) ◽

pp. 173-173

Author(s):

D Mésangeau ◽

S Laroche ◽

D Laude ◽

Jl Elghozi ◽

Ra Malik ◽

...

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Heart Rate Variability ◽

Early Detection ◽

Vagus Nerve ◽

Autonomic Neuropathy ◽

Nerve Morphometry

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Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients

npj Digital Medicine ◽

10.1038/s41746-021-00447-y ◽

2021 ◽

Vol 4 (1) ◽

Author(s):

Elisa Mejía-Mejía ◽

James M. May ◽

Mohamed Elgendi ◽

Panayiotis A. Kyriacou

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Heart Rate Variability ◽

Pulse Rate ◽

Pulse Transit Time ◽

Pulse Rate Variability ◽

Physiological Factors ◽

Ecg Signals ◽

Non Invasive ◽

Electrocardiogram Ecg

AbstractHeart rate variability (HRV) utilizes the electrocardiogram (ECG) and has been widely studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) utilizes photoplethysmography (PPG) and recently has been used as a surrogate for HRV. Several studies have found that PRV is not entirely valid as an estimation of HRV and that several physiological factors, including the pulse transit time (PTT) and blood pressure (BP) changes, may affect PRV differently than HRV. This study aimed to assess the relationship between PRV and HRV under different BP states: hypotension, normotension, and hypertension. Using the MIMIC III database, 5 min segments of PPG and ECG signals were used to extract PRV and HRV, respectively. Several time-domain, frequency-domain, and nonlinear indices were obtained from these signals. Bland–Altman analysis, correlation analysis, and Friedman rank sum tests were used to compare HRV and PRV in each state, and PRV and HRV indices were compared among BP states using Kruskal–Wallis tests. The findings indicated that there were differences between PRV and HRV, especially in short-term and nonlinear indices, and although PRV and HRV were altered in a similar manner when there was a change in BP, PRV seemed to be more sensitive to these changes.

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Field Monitoring the Effects of Overnight Shift Work on Specialist Tactical Police Training with Heart Rate Variability Analysis

Sustainability ◽

10.3390/su13147895 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7895

Author(s):

Colin Tomes ◽

Ben Schram ◽

Robin Orr

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Shift Work ◽

Emergency Response ◽

Police Training ◽

Heart Rate Variability Analysis ◽

Response Team ◽

Hrv Analysis ◽

And Performance ◽

Personnel Allocation

Police work exposes officers to high levels of stress. Special emergency response team (SERT) service exposes personnel to additional demands. Specifically, the circadian cycles of SERT operators are subject to disruption, resulting in decreased capacity to compensate in response to changing demands. Adaptive regulation loss can be measured through heart rate variability (HRV) analysis. While HRV Trends with health and performance indicators, few studies have assessed the effect of overnight shift work on HRV in specialist police. Therefore, this study aimed to determine the effects overnight shift work on HRV in specialist police. HRV was analysed in 11 SERT officers and a significant (p = 0.037) difference was found in pRR50 levels across the training day (percentage of R-R intervals varying by >50 ms) between those who were off-duty and those who were on duty the night prior. HRV may be a valuable metric for quantifying load holistically and can be incorporated into health and fitness monitoring and personnel allocation decision making.

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