Acute Physiological Response of Live-Fire Simulation Activities Affecting Cardiovascular Health In Live-Fire Instructors

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Gwan-Jin Park ◽  
So Yeon Kong ◽  
Dong-Min Shin ◽  
Dae In Lee ◽  
Beom-Seok Ku ◽  
...  
1993 ◽  
Vol 9 (3) ◽  
pp. 369-382 ◽  
Author(s):  
S. McChesney Gillette ◽  
C. A. Dawson ◽  
R. J. Scott ◽  
D. A. Rickaby ◽  
B. E. Powers ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Scott McGuire ◽  
Elizabeth Jane Horton ◽  
Derek Renshaw ◽  
Alofonso Jimenez ◽  
Nithya Krishnan ◽  
...  

Acute haemodynamic instability is a natural consequence of disordered cardiovascular physiology during haemodialysis (HD). Prevalence of intradialytic hypotension (IDH) can be as high as 20–30%, contributing to subclinical, transient myocardial ischemia. In the long term, this results in progressive, maladaptive cardiac remodeling and impairment of left ventricular function. This is thought to be a major contributor to increased cardiovascular mortality in end stage renal disease (ESRD). Medical strategies to acutely attenuate haemodynamic instability during HD are suboptimal. Whilst a programme of intradialytic exercise training appears to facilitate numerous chronic adaptations, little is known of the acute physiological response to this type of exercise. In particular, the potential for intradialytic exercise to acutely stabilise cardiovascular hemodynamics, thus preventing IDH and myocardial ischemia, has not been explored. This narrative review aims to summarise the characteristics and causes of acute haemodynamic instability during HD, with an overview of current medical therapies to treat IDH. Moreover, we discuss the acute physiological response to intradialytic exercise with a view to determining the potential for this nonmedical intervention to stabilise cardiovascular haemodynamics during HD, improve coronary perfusion, and reduce cardiovascular morbidity and mortality in ESRD.


2004 ◽  
Vol 18 (15) ◽  
pp. 1934-1936 ◽  
Author(s):  
G. Mandolesi ◽  
F. Madeddu ◽  
Y. Bozzi ◽  
L. Maffei ◽  
G. M. Ratto

Circulation ◽  
2017 ◽  
Vol 135 (14) ◽  
pp. 1284-1295 ◽  
Author(s):  
Amanda L. Hunter ◽  
Anoop S.V. Shah ◽  
Jeremy P. Langrish ◽  
Jennifer B. Raftis ◽  
Andrew J. Lucking ◽  
...  

Circulation ◽  
2017 ◽  
Vol 136 (10) ◽  
pp. 973-973 ◽  
Author(s):  
Xiao-Wei Jiang ◽  
Cheng-Zhi Yang ◽  
Shu-Bin Qiao

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Bailey Sapa ◽  
Ted Wilson ◽  
James Gronseth ◽  
Francis Ragsdale

Abstract Objectives Energy drinks have been anecdotally associated with deleterious cardiovascular health outcomes. These drinks contain ingredients which could affect glycemic response to the carbohydrate content. The aim of this study was to determine if acute exercise would alter the glycemic and physiological response to the consumption of Monster Energy. Methods Following an overnight fast, human subjects (19.1 ± 1.4 years; 30 female; 5 male) were randomized to exercise on a stationary bike at 33% of their predicted VO2 max for 10 minutes with a five minute sitting rest after, or sitting (control) for 15 minutes prior to ingestion of Monster Energy. Blood glucose, heart rate, and blood pressure were measured 0-, 30-, 60-, and 90-minutes postprandially. Data is represented as LSM ± SE with significance analyzed using a t-test, or multiple comparison test (P < 0.05). Results Blood glucose (mg/dL) for control at 0-, 30-, 60-, and 90-minutes 91.5 ± 1.2, 133.7 ± 4.3, 96.3 ± 4.2, and 82.4 ± 1.8 mg/dL, respectively. For those receiving bike exercise prior to ingestion blood glucose was 92.2 ± 1.2, 126.6 ± 3.8, 92.5 ± 2.3, 84.0 ± 1.8 mg/dL. Within group significance in both groups was observed between 0 and 30, 30 and 60, and 60 and 90, for control only, there were no significant blood glucose differences observed between groups across time. Heart rate for control at 0-, 30-, 60-, and 90-minutes was 78.0 ± 3.1, 78.2 ± 2.5, 78.6 ± 2.6, and 74.4 ± 1.9 respectively. For those receiving bike exercise prior to ingestion heart rate was 88.7 ± 3.71, 85.5 ± 2.7, 83.1 ± 2.3, and 80.3 ± 2.9, with significance between 0 and 90 minutes. Mean arterial blood pressure for control at 0-, 30-, 60-, and 90-minutes was 86.8 ± 2.6, 89.2 ± 2.1, 89.2 ± 2.5, and 87.6 ± 2.6. For those receiving bike exercise prior to ingestion blood pressure was 90.6 ± 3.1, 88.98 ± 2.3, 88.2 ± 2.0, and 87.0 ± 2.9 with no significant differences. Conclusions Exercise probably does not alter the glycemic and physiological response to energy drinks. Funding Sources WSU Biology Department.


1990 ◽  
Vol 25 (6) ◽  
pp. 587-593 ◽  
Author(s):  
Timothy M. Crombleholme ◽  
Michael R. Harrison ◽  
Michael T. Longaker ◽  
Jacob C. Langer ◽  
N. Scott Adzick ◽  
...  

2014 ◽  
Vol 9 (4) ◽  
pp. 661-666 ◽  
Author(s):  
Dietmar Wallner ◽  
Helmut Simi ◽  
Gerhard Tschakert ◽  
Peter Hofmann

Purpose:To analyze the acute physiological response to aerobic short-interval training (AESIT) at various high-intensity running speeds. A minor anaerobic glycolytic energy supply was aimed to mimic the characteristics of slow continuous runs.Methods:Eight trained male runners (maximal oxygen uptake [VO2max] 55.5 ± 3.3 mL · kg−1 · min−1) performed an incremental treadmill exercise test (increments: 0.75 km · h−1 · min−1). Two lactate turn points (LTP1, LTP2) were determined. Subsequently, 3 randomly assigned AESIT sessions with high-intensity running-speed intervals were performed at speeds close to the speed (v) at VO2max (vVO2max) to create mean intensities of 50%, 55%, and 60% of vLTP1. AESIT sessions lasted 30 min and consisted of 10-s work phases, alternated by 20-s passive recovery phases.Results:To produce mean velocities of 50%, 55%, and 60% of vLTP1, running speeds were calculated as 18.6 ± 0.7 km/h (93.4% vVO2max), 20.2 ± 0.6 km/h (101.9% vVO2max), and 22.3 ± 0.7 km/h (111.0% vVO2max), which gave a mean blood lactate concentration (La) of 1.09 ± 0.31 mmol/L, 1.57 ± 0.52 mmol/L, and 2.09 ± 0.99 mmol/L, respectively. La at 50% of vLTP1 was not significantly different from La at vLTP1 (P = .8894). Mean VO2 was found at 54.0%, 58.5%, and 64.0% of VO2max, while at the end of the sessions VO2 rose to 71.1%, 80.4%, and 85.6% of VO2max, respectively.Conclusion:The results showed that AESIT with 10-s work phases alternating with 20 s of passive rest and a running speed close to vVO2max gave a systemic aerobic metabolic profile similar to slow continuous runs.


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