scholarly journals Relationship Between Speed of Striking and Time to Exhaustion of an Elite Deaf Karateka

2021 ◽  
pp. 130-134
Author(s):  
Karyna Ianchuk
Keyword(s):  
Heart Rate ◽  
Lactate Level ◽  
Elite Athlete ◽  
Research Data ◽  
Blood Lactate Level ◽  
Time To Exhaustion ◽  
Training Process ◽  
Problem Statement ◽  
Correlation Relationship ◽  
Physiological Indicators

Problem statement. Karate is part of the Deaflympic Games program, however, the problems of the training process in Deaflympic sports have not been sufficiently studied. Approach. The study involved an elite female karate player, a three-time deaflympic champion. During the annual macrocycle, in shock microcycles, the athlete performed a specific aerobic test for karatekas (KSAT), which includes a series of strokes: kizami zuki, mawashi geri, gyaku zuki, kizami mawashi geri. The following indicators were studied: speed of striking, time to exhaustion, level, blood lactate level, heart rate during the test. Purpose: to find out the speed abilities, time to exhaustion, and their correlation of an elite karateka with hearing problems during KSAT. Physiological indicators of fatigue while test performing have been also studied and compared with the data of healthy athletes. Results: The athlete completed 27 KSAT series during the year. The heart rate was 191.6±5.2 , the lactate level was 13.3±0.9 mmol, and was 48.4±2.05. The period before exhaustion was 642.3±33.8 s, the speed of striking was: kizami zuki - 5.9±0.27; mawashi geri - 9.27±0.24; gyaku zuki - 7.41±0.35 , kizami mawashi geri - 6.3±0.3 . The correlation relationship indicators between the speed of striking and the time to exhaustion were equal: kizami zuki - r=0.89; mawashi geri - r=0.87; gyaku zuki - r=0.91; kizami mawashi geri - r=0.82 (p <0.001 for all indicators). Conclusions: There is a strong correlation between the speed of striking during the performance of KSAT and the time to exhaustion. High levels of lactate in the blood and heart rate indicate work in the anaerobic zone during striking. The results shown by a deaf elite athlete supplement the previous research data, in which karatekas of different qualifications and sex took part.

A Systematic Review of Submaximal Cycle Tests to Predict, Monitor, and Optimize Cycling Performance

2016 ◽  
Vol 11 (6) ◽  
pp. 707-714 ◽  
Author(s):  
Benoit Capostagno ◽  
Michael I. Lambert ◽  
Robert P. Lamberts
Keyword(s):  
Heart Rate ◽  
Power Output ◽  
Perceived Exertion ◽  
Heart Rate Recovery ◽  
Mechanical Efficiency ◽  
Cycling Performance ◽  
Rating Of Perceived Exertion ◽  
Time To Exhaustion ◽  
Gross Mechanical Efficiency ◽  
Multiple Variables

Finding the optimal balance between high training loads and recovery is a constant challenge for cyclists and their coaches. Monitoring improvements in performance and levels of fatigue is recommended to correctly adjust training to ensure optimal adaptation. However, many performance tests require a maximal or exhaustive effort, which reduces their real-world application. The purpose of this review was to investigate the development and use of submaximal cycling tests that can be used to predict and monitor cycling performance and training status. Twelve studies met the inclusion criteria, and 3 separate submaximal cycling tests were identified from within those 12. Submaximal variables including gross mechanical efficiency, oxygen uptake (VO2), heart rate, lactate, predicted time to exhaustion (pTE), rating of perceived exertion (RPE), power output, and heart-rate recovery (HRR) were the components of the 3 tests. pTE, submaximal power output, RPE, and HRR appear to have the most value for monitoring improvements in performance and indicate a state of fatigue. This literature review shows that several submaximal cycle tests have been developed over the last decade with the aim to predict, monitor, and optimize cycling performance. To be able to conduct a submaximal test on a regular basis, the test needs to be short in duration and as noninvasive as possible. In addition, a test should capture multiple variables and use multivariate analyses to interpret the submaximal outcomes correctly and alter training prescription if needed.

scholarly journals Sex-Related Differences in the Maximal Lactate Steady State

Sports ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 154 ◽  
Author(s):  
Paul Hafen ◽  
Pat Vehrs
Keyword(s):  
Heart Rate ◽  
Oxygen Consumption ◽  
Steady State ◽  
Respiratory Exchange Ratio ◽  
Time To Exhaustion ◽  
Distance Runners ◽  
Maximal Lactate Steady State ◽  
Training Tool ◽  
Significant Difference ◽  
Males And Females

The maximal lactate steady state (MLSS) is one of the factors that differentiates performance in aerobic events. The purpose of this study was to investigate the sex differences in oxygen consumption (VO2), heart rate (HR), and the respiratory exchange ratio (RER) at the MLSS in well-trained distance runners. Twenty-two (12 female, 10 male) well-trained distance runners (23 ± 5.0 years) performed multiple 30-min steady-state runs to determine their MLSS, during which blood lactate and respiratory gas exchange measures were taken. To interpret the MLSS intensity as a training tool, runners completed a time-to-exhaustion (TTE) run at their MLSS. The relative intensity at which the MLSS occurred was identical between males and females according to both oxygen consumption (83 ± 5 %O2max) and heart rate (89 ± 7 %HRmax). However, female runners displayed a significantly lower RER at MLSS compared to male runners (p < 0.0001; 0.84 ± 0.02 vs. 0.88 ± 0.04, respectively). There was not a significant difference in TTE at MLSS between males (79 ± 17 min) and females (80 ± 25 min). Due to the observed difference in the RER at the MLSS, it is suggested that RER derived estimates of MLSS be sex-specific. While the RER data suggest that the MLSS represents different metabolic intensities for males and females, the relative training load of MLSS appears to be similar in males and female runners.

scholarly journals Comparison of serial blood lactate level between dengue shock syndrome and dengue hemorrhagic fever (evaluation of prognostic value)

2007 ◽  
Vol 47 (4) ◽  
pp. 150 ◽  
Author(s):  
M. Tatang Puspanjono ◽  
Abdul Latief ◽  
Alan R. Tumbelaka ◽  
Sudigdo Sastroasmoro ◽  
Hartono Gunardi
Keyword(s):  
Oxygen Saturation ◽  
Blood Lactate ◽  
Dengue Hemorrhagic Fever ◽  
Lactate Level ◽  
Venous Blood ◽  
Dengue Shock Syndrome ◽  
Hemorrhagic Fever ◽  
Blood Lactate Level ◽  
Cross Sectional ◽  
The Difference

Background Dengue shock syndrome (DSS) mortality is still high.Monitoring of blood lactate level is important to evaluate shock.Objectives The study were to review the difference between bloodlactate level of DSS and that of dengue hemorrhagic fever (DHF),to correlate blood lactate level with hypoxia state as shock riskfactors (PaO 2 , oxygen saturation, and anion gap) and to determinethe cut-off point of blood lactate level to predict shock.Methods The study was carried out at the Department of ChildHealth, Medical School, University of Indonesia, CiptoMangunkusumo Hospital, Jakarta, from January until July 2006.Three mL venous blood specimen was collected from all subjectsfor peripheral blood, blood gasses, serology, and blood lactateexaminations. This study consisted of a retrospective cohort anda cross sectional method. Data were analyzed with Chi-squaretest. Continous data tested using Mann-Whitney method. Toknow the correlation between blood lactate level and shock riskfactors we use logistic regression test.Results In DSS group, 73% shows hyperlactatemia (lactate =2mmol/L). Conversion of lactate means between two groups issignificantly different from day one to day two and three. Therewas a negative correlation between lactate level and pO 2 andoxygen saturation. Oxygen saturation is the only value that hasclinical correlation. Regressions analysis can be applied using Y= 7.05–0.05 X equation. The cut-off point of lactate level asmarker for shock by using ROC curve is 32.015 mmol/L with 70%sensitivity and 83.3% specificity.Conclusions Hyperlactatemia in DSS can be considered as a signfor unappropriate treatment of shock. Blood lactate level can beused as a biochemical marker for tissue hypoxia, to assess severityof the disease, as monitoring of treatment, and has prognosticvalue of DHF cases.

Multisite Near-Infrared Spectroscopy Predicts Elevated Blood Lactate Level in Children After Cardiac Surgery

2009 ◽  
Vol 23 (5) ◽  
pp. 663-667 ◽  
Author(s):  
Sujata B. Chakravarti ◽  
Alexander J.C. Mittnacht ◽  
Jason C. Katz ◽  
Khahn Nguyen ◽  
Umesh Joashi ◽  
...  
Keyword(s):  
Cardiac Surgery ◽  
Infrared Spectroscopy ◽  
Blood Lactate ◽  
Near Infrared Spectroscopy ◽  
Lactate Level ◽  
Near Infrared ◽  
Blood Lactate Level ◽  
Elevated Blood

scholarly journals Muscle fatigue evaluation method of driver at long time driving based on blood lactate level increase

2020 ◽  
Vol 86 (889) ◽  
pp. 19-00433-19-00433
Author(s):  
Takumi YAMAKAWA ◽  
Soichiro HAYAKAWA ◽  
Katsuhiro ASANO ◽  
Shigeyoshi TSUTSUMI ◽  
Ryojun IKEURA
Keyword(s):  
Muscle Fatigue ◽  
Blood Lactate ◽  
Lactate Level ◽  
Evaluation Method ◽  
Blood Lactate Level ◽  
Level Increase ◽  
Long Time ◽  
Fatigue Evaluation

scholarly journals A Study on Shock Index in Early Diagnosis of Sepsis in Emergency Department of Tertiary Care Centre of Nepal

2019 ◽  
Vol 2 (2) ◽  
pp. 37-42
Author(s):  
Manish Nath Pant ◽  
Subash Dawadi ◽  
Ashish Thapa
Keyword(s):  
Emergency Department ◽  
Heart Rate ◽  
Severe Sepsis ◽  
Early Diagnosis ◽  
Blood Lactate ◽  
Lactate Level ◽  
Tertiary Care ◽  
Serum Lactate ◽  
Shock Index ◽  
Tertiary Care Centre

Introduction: Sepsis and its consequences, severe sepsis and septic shock is at menace in country like ours where infectious disease are at toll. Early diagnosis and treatment is very important to decrease the morbidity and mortality. Shock index is one of such tool that is very handy in these situations as this is just a mathematical calculation using heart rate(HR) and systolic blood pressure(SBP). The main aim of this study was to find the effectiveness of using SI as an adjunct to blood lactate in diagnosing patients in sepsis. Methods: This was an observational hospital-based study conducted at Emergency Department of TUTH, Maharajgunj on 104 patients, obtained by purposive sampling method, who had presented to the “Red Area”, aged between 18 to 65 years. These patients were screened for severe sepsis using triage vital signs, basic laboratory tests and an initial serum lactate level. Test characteristics were calculated for hyperlactatemia. I considered the following covariates in our analysis: heart rate >90 beats/min; mean arterial pressure <65 mmHg; respiratory rate > 20 breaths/min; ≥2 SIRS including white blood cell count; SI <0.6; SI 0.6 to 1; SI 1 to 1.4and SI ≥ 1.4.  Results: There was a positive correlation between shock index and blood lactate level, r=0.2, n=104, p=0.042. No relationship was found between SI>=1 and hyperlactemia, X2 (.285, N = 104) = 1, p =.594 and relationship was found between SI >=0.7 and hyperlactemia, X2 (4.1, N = 104) = 1, p =.04. sensitivity and specificity for detecting hyperlactemia of SI>=1, SI.=0.7, SIRS was 84% and 20%, 93% and 0%, 79% and 20% respectively. Conclusions: There was weak correlation between the lactate level and shock index with statistically significant correlation between the shock index grouped >=0.7 and hyperlactatemia with high sensitivity and very low specificity.

Emotion regulation as a moderator of the interplay between self-reported and physiological stress and paranoia

2018 ◽  
Vol 49 ◽  
pp. 43-49 ◽  
Author(s):  
Katarina Krkovic ◽  
Stephanie Krink ◽  
Tania M. Lincoln
Keyword(s):  
Heart Rate ◽  
Emotion Regulation ◽  
Sampling Method ◽  
Physiological Stress ◽  
Cognitive Emotion Regulation ◽  
Daily Stress ◽  
Physiological Indicators ◽  
Moderating Factors ◽  
Paranoid Symptoms

AbstractExperience sampling method (ESM) studies have found an association between daily stress and paranoid symptoms, but it is uncertain whether these findings generalize to physiological indicators of stress. Moreover, the temporality of the association and its moderating factors require further research. Here, we investigate whether physiological and self-rated daily stress predict subsequent paranoid symptoms and analyze the role of emotion regulation as a putative moderator. We applied ESM during 24 h to repeatedly assess heart rate, self-rated stress, and subclinical paranoia in a sample of 67 psychosis-prone individuals as measured with Community Assessment for Psychotic Experiences (CAPE). Adaptive and maladaptive emotion regulation was assessed at baseline with the Emotion Regulation Skills Questionnaire (ERSQ-ES) and the Cognitive Emotion Regulation Questionnaire (CERQ). Linear mixed models were used to analyze the data. Heart rate (b = 0.004, p < 0.05) and self-rated stress (b = 0.238, p < 0.001) predicted subsequent paranoia. The reverse effect, paranoia as a predictor of subsequent heart rate (b = 0.230, p = 0.615) or self-rated stress (b = –0.009, p = 0.751) was non-significant. Maladaptive emotion regulation was a significant predictor of paranoia (b = 0.740, p < 0.01) and moderated the path from self-rated stress to paranoia (b = 0.188, p < 0.05) but not the path from heart rate to paranoia (b = 0.005, p = 0.09). Our findings suggest a one-way temporal link between daily stress and paranoia and highlight the importance of emotion regulation as a vulnerability factor relevant to this process.

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