The relationship between selected physiological variables of rowers and rowing performance as determined by a 2000 m ergometer test

1999 ◽  
Vol 17 (11) ◽  
pp. 845-852 ◽  
Author(s):  
M.J. Cosgrove ◽  
J. Wilson ◽  
D. Watt ◽  
S.F. Grant
Keyword(s):  
Physiological Variables ◽  
Rowing Performance ◽  
Ergometer Test ◽  
The Relationship

Telemetered Heart Rate as a Psychophysiological Correlate of Mother-Child Interaction, by K. Michael Hong, M.D., Douglas M. Bowden, M.D., and Kate L. Kogan, Ph.D

PEDIATRICS ◽  
1979 ◽  
Vol 63 (4) ◽  
pp. 601-601
Keyword(s):  
Heart Rate ◽  
Three Dimensions ◽  
Behavioral Measures ◽  
Transition Analysis ◽  
Physiological Variables ◽  
Cardiac Deceleration ◽  
Behavioral Interaction ◽  
New Findings ◽  
Naturalistic Setting ◽  
The Relationship

Heart rate was telemetered from 6 preschool children during play sessions with their mothers. Their behavioral interaction was simultaneously recorded on videotape and rated on three dimensions of interaction: status (submission- dominance), affect (hostility-warmth), and degree of involvement; 100 specific behaviors were coded in consecutive 4-second epochs. In exploring the relationship between heart rate and the behavioral measures, we applied two kinds of analysis—state analysis and transition analysis. The usefulness of recording heart rate in a naturalistic setting was demonstrated by replicating the finding from more rigidly defined experiments that intense looking at an object is associated with cardiac deceleration. New findings were that submissive status and warm affect of the child and dominant status and warm affect of the mother were associated with low heart rate in the child and that the onset of smiling was associated with cardiac deceleration in most situations. The study demonstrates the feasibility and some of the potential uses of continuously telemetered heart rate for analyzing interactional and physiological variables in a naturalistic setting.

scholarly journals Intelligent Monitoring of Affective Factors Underlying Sport Performance by Means of Wearable and Mobile Technology

Proceedings ◽  
2018 ◽  
Vol 2 (19) ◽  
pp. 1202 ◽  
Author(s):  
Carlos Bailon ◽  
Miguel Damas ◽  
Hector Pomares ◽  
Daniel Sanabria ◽  
Pandelis Perakakis ◽  
...  
Keyword(s):  
Wearable Sensors ◽  
Affective State ◽  
Sport Performance ◽  
Affective States ◽  
Complete Evaluation ◽  
Affective Factors ◽  
Physiological Variables ◽  
Sport Events ◽  
The Impact ◽  
The Relationship

The fluctuation of affective states is a contributing factor to sport performance variability. The context surrounding athletes during their daily life and the evolution of their physiological variables beyond sport events are relevant factors, as they modulate the affective state of the subject over time. However, traditional procedures to assess the affective state are limited to self-reported questionnaires within controlled settings, thus removing the impact of the context. This work proposes a multimodal, context-aware platform that combines the data acquired through smartphones and wearable sensors to assess the affective state of the athlete. The platform is aimed at ubiquitously monitoring the fluctuations of affective states during longitudinal studies within naturalistic environments, overcoming the limitations of previous studies and allowing for the complete evaluation of the factors that could modulate the affective state. This system will also facilitate and expedite the analysis of the relationship between affective states and sport performance.

The Effect of Variable Doses of Inorganic Nitrate-Rich Beetroot Juice on Simulated 2000-m Rowing Performance in Trained Athletes

2014 ◽  
Vol 9 (4) ◽  
pp. 615-620 ◽  
Author(s):  
Matthew W. Hoon ◽  
Andrew M. Jones ◽  
Nathan A. Johnson ◽  
Jamie R. Blackwell ◽  
Elizabeth M. Broad ◽  
...  
Keyword(s):  
Endurance Performance ◽  
Mean Difference ◽  
Beetroot Juice ◽  
Inorganic Nitrate ◽  
Rowing Performance ◽  
Ergometer Rowing ◽  
And Performance ◽  
Dose Response Effect ◽  
Double Blinded ◽  
Ergometer Test

Context:Beetroot juice is a naturally rich source of inorganic nitrate (NO3−), a compound hypothesized to enhance endurance performance by improving exercise efficiency.Purpose:To investigate the effect of different doses of beetroot juice on 2000-m ergometer-rowing performance in highly trained athletes.Methods:Ten highly trained male rowers volunteered to participate in a placebo-controlled, double-blinded crossover study. Two hours before undertaking a 2000-m rowing-ergometer test, subjects consumed beetroot juice containing 0 mmol (placebo), 4.2 mmol (SINGLE), or 8.4 mmol (DOUBLE) NO3−. Blood samples were taken before supplement ingestion and immediately before the rowing test for analysis of plasma [NO3−] and [nitrite (NO2−)].Results:The SINGLE dose demonstrated a trivial effect on time to complete 2000 m compared with placebo (mean difference: 0.2 ± 2.5 s). A possibly beneficial effect was found with DOUBLE compared with SINGLE (mean difference –1.8 ± 2.1 s) and with placebo (–1.6 ± 1.6 s). Plasma [NO2−] and [NO3−] demonstrated a dose-response effect, with greater amounts of ingested nitrate leading to substantially higher concentrations (DOUBLE > SINGLE > placebo). There was a moderate but insignificant correlation (r = –.593, P = .055) between change in plasma [NO2−] and performance time.Conclusion:Compared with nitratedepleted beetroot juice, a high (8.4 mmol NO3−) but not moderate (4.2 mmol NO3−) dose of NO3− in beetroot juice, consumed 2 h before exercise, may improve 2000-m rowing performance in highly trained athletes.

The Relationship of Lactate to 1-Mile Walk Performance in Women Aged 60 to 70 Years

1998 ◽  
Vol 6 (3) ◽  
pp. 285-289 ◽  
Author(s):  
Carmelo Bazzano ◽  
Lee N. Cunningham ◽  
Giovanni Cama ◽  
Tony Falconio
Keyword(s):  
Older Women ◽  
Blood Lactate ◽  
Field Testing ◽  
Testing Procedure ◽  
Physiological Data ◽  
Walk Test ◽  
Treadmill Test ◽  
Physiological Variables ◽  
Before And After ◽  
The Relationship

The purpose of this study was to examine the relationship between selected physiological variables and lactate accumulation at the end of a l-mile walk test (MWT) in older women (mean ± SD: 64.6 ± 3.1 years). Seventeen women with a peak (ml · kg-1 · min-1) of 21.1 ± 4.2 volunteered to participate. Physiological data were obtained via a COSMED K2 miniaturized O2 analyzer with telemetric capabilities during a maximal treadmill (TM) test and MWT. Blood samples were obtained from the ear lobe for lactale analysis immediately before and after the treadmill test and MWT. Subjects performed the MWT in 15.4 ± 1.4 min at an intensity of 76% of peak and 86% of HRmax. The blood lactate accumulated at the end of the MWT was 2.61 ± 1.47 mmol/L. Peak lactate following the maximal treadmill test was 3.8 ± 1.42 mmol/L. HR during the test was significantly related with blood lactate (r= .65, p< .01). The lactate values observed during the lest suggest that the I-mile walk test is a suitable field testing procedure for older women.

The relationship between 3 km running performance and selected physiological variables

1997 ◽  
Vol 15 (4) ◽  
pp. 403-410 ◽  
Author(s):  
S. Grant ◽  
I. Craig ◽  
J. Wilson ◽  
T. Aitchison
Keyword(s):  
Running Performance ◽  
Physiological Variables ◽  
The Relationship

scholarly journals Physiological predictors of competitive performance in CrossFit® athletes

2019 ◽  
Author(s):  
Rafael Martínez-Gómez ◽  
Pedro L. Valenzuela ◽  
Lidia B. Alejo ◽  
Jaime Gil-Cabrera ◽  
Almudena Montalvo-Pérez ◽  
...  
Keyword(s):  
Oxygen Uptake ◽  
Bench Press ◽  
Well Being ◽  
Wingate Test ◽  
Maximum Oxygen Uptake ◽  
Load Test ◽  
Peak Power Output ◽  
Physiological Variables ◽  
Jump Ability ◽  
The Relationship

AbstractThe aim of this study was to determine which physiological variables could predict performance during a CrossFit competition. Fifteen male CrossFit athletes (35 ± 9 years) participated and performed a series of tests (incremental load test for full squat and bench press, jump tests, incremental running test, and Wingate test) that were used as potential predictors of CrossFit performance. Thereafter, they performed the five Workouts of the Day (WODs) corresponding to the CrossFit Games Open 2019, and the relationship between each variable and CrossFit performance was analyzed. Overall Crossfit performance (i.e., final ranking considering all WODs) was significantly related to jump ability, mean and peak power output during the Wingate test, relative maximum strength for the full squat and the bench press, and maximum oxygen uptake and maximum speed during an incremental running test (all p<0.05, r=0.58–0.75), although the relationship of most markers varied depending on the analyzed WOD. Multiple linear regression analysis showed that the combination of maximum oxygen uptake, squat jump ability, and reactive strength index accounted for 81% of the variance in overall CrossFit performance (p=0.0003). CrossFit performance seems dependent on a variety of power-, strength-, and aerobic-related markers, which reflects the complexity of this sport. Improvements in aerobic capacity may help people and athletes in CrossFit performance and well-being. Also, focus on lower body power could be the key to obtain better performance markers.

Two Critical Concept Indexes, Combining With Different Physiological Variables, In Predicting 2000m Indoor Rowing Performance

2005 ◽  
Vol 37 (Supplement) ◽  
pp. S80
Author(s):  
Hsin-Fu Lin ◽  
Jen-Charng Lin ◽  
Tai-Yuan Chuang ◽  
Chun-Chung Chou ◽  
Pei-Yin Lin ◽  
...  
Keyword(s):  
Physiological Variables ◽  
Rowing Performance

Physiological Correlates with Perceived Exertion during Deep Water Running

1996 ◽  
Vol 83 (1) ◽  
pp. 155-162 ◽  
Author(s):  
Stanley P. Brown ◽  
Linda F. Chitwood ◽  
Kim R. Beason ◽  
Deena R. McLemore
Keyword(s):  
Deep Water ◽  
Perceived Exertion ◽  
Pulmonary Ventilation ◽  
Carbon Dioxide Production ◽  
Important Variable ◽  
Open Circuit ◽  
Forward Solution ◽  
Physiological Variables ◽  
The Relationship ◽  
Deep Water Running

The purpose of this study was to investigate the relationship between perceived exertion and physiological variables during deep water running. Deep water running to VO2 peak was performed in 3-min. stages at leg speeds controlled by a metronome. VO2 and heart rate were continuously monitored by open circuit spirometry and radiotelemetry. Perceived exertion was measured using Borg's 6- to 20-point scale. Multiple regression analysis with a forward solution was used to establish the relations of the measures of perceived exertion with the measures of oxygen uptake, carbon dioxide production, pulmonary ventilation, respiratory exchange ratio, and respiratory rate. %VO2 max was the most important variable predicting perceived exertion. Men and women ( ns = 12) reported using different sensory cues to perceive exertion during deep water running.

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