20 results on '"Healy, Robin"'
Search Results
2. The Strength Characteristics of Elite and Subelite Female Gaelic Football Players
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Hughes, William, primary, Healy, Robin, additional, Lyons, Mark, additional, Higginbotham, Clement, additional, Lane, Aoife, additional, and Beattie, Kris, additional
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- 2024
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3. Profiling elite male 100-m sprint performance: The role of maximum velocity and relative acceleration
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Healy, Robin, Kenny, Ian C., and Harrison, Andrew J.
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- 2022
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4. Peak Speed in Gaelic Games: A Systematic Review of GPS Methods
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McGuinness, Eddie, primary, Beattie, Kris, additional, Lyons, Mark, additional, Lane, Aoife, additional, Higginbotham, Clement, additional, and Healy, Robin, additional
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- 2023
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5. Influence of Reactive and Maximum Strength Indicators on Sprint Performance
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Healy, Robin, Smyth, Carol, Kenny, Ian C., and Harrison, Andrew J.
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- 2019
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6. Resistance Training Practices of Sprint Coaches
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Healy, Robin, Kenny, Ian C., and Harrison, Andrew J.
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- 2019
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7. Profiling elite male 100-m sprint performance: The role of maximum velocity and relative acceleration
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Healy, Robin, KENNY, IAN, and HARRISON, ANDREW
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modelling ,reaction time ,42 Health sciences ,race phases ,split times ,Health sciences ,deceleration ,FOS: Health sciences ,Sports science and exercise ,4207 Sports science and exercise - Abstract
Purpose: This study aimed to determine the accuracy of a 4 split time modelling method to generate velocity-time and velocity-distance variables in elite male 100-m sprinters and subsequently to assess the roles of key sprint parameters with respect to 100-m sprint performance. Additionally, this study aimed to assess the differences between faster and slower sprinters in key sprint variables that have not been assessed in previous work. Methods: Velocity-time and velocity-distance curves were generated using a mono-exponential function from 4 split times for 82 male sprinters during major athletics competitions. Key race variables—maximum velocity, the acceleration time constant (t), and percentage of velocity lost (vLoss)—were derived for each athlete. Athletes were divided into tertiles, based on 100-m time, with the first and third tertiles considered to be the faster and slower groups, respectively, to facilitate further analysis. Results:Modelled split times and velocities displayed excellent accuracy and close agreement with raw measures (range of mean bias was –0.2% to 0.2%, and range of intraclass correlation coefficients (ICCs) was 0.935 to 0.999) except for 10-m time (mean bias was 1.6% ± 1.3%, and the ICC was 0.600). The 100-m sprint performance time and all 20-m split times had a significant near-perfect negative correlation with maximum velocity (r ≥ –0.90) except for the 0 to 20-m split time, where a significantly large negative correlation was found (r = –0.57). The faster group had a significantly higher maximum velocity and τ (p < 0.001), and no significant difference was found for vLoss (p = 0.085). Conclusion:Coaches and researchers are encouraged to utilize the 4 split time method proposed in the current study to assess several key race variables that describe a sprinter's performance capacities, which can be subsequently used to further inform training.
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- 2023
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8. The Application of Postactivation Potentiation Methods to Improve Sprint Speed
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Healy, Robin and Comyns, Thomas M.
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- 2017
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9. Reactive Strength Index: A Poor Indicator of Reactive Strength?
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Healy, Robin, Kenny, Ian C., and Harrison, Andrew J.
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STATISTICAL correlation ,DYNAMICS ,JUMPING ,RUNNING ,PHYSICAL training & conditioning ,DATA analysis software ,DESCRIPTIVE statistics - Abstract
Purpose: To assess the relationships between reactive strength measures and associated kinematic and kinetic performance variables achieved during drop jumps. A secondary aim was to highlight issues with the use of reactive strength measures as performance indicators. Methods: Twenty-eight national- and international-level sprinters, 14 men and 14 women, participated in this cross-sectional analysis. Athletes performed drop jumps from a 0.3-m box onto a force platform with dependent variables contact time (CT), landing time, push-off time, flight time, jump height (JH), reactive strength index (RSI, calculated as JH/CT), reactive strength ratio (RSR, calculated as flight time/CT), and vertical leg-spring stiffness recorded. Results: A Pearson correlation test found very high to near-perfect relationships between RSI and RSR (r =.91–.97), with mixed relationships between RSI, RSR, and the key performance variables (men: r = −.86 to −.71 between RSI/RSR and CT, r =.80–.92 between RSI/RSR and JH; women: r = −.85 to −.56 between RSR and CT, r =.71 between RSI and JH). Conclusions: The method of assessing reactive strength (RSI vs RSR) may be influenced by the performance strategies adopted, that is, whether athletes achieve their best reactive strength scores via low CTs, high JHs, or a combination. Coaches are advised to limit the variability in performance strategies by implementing upper and/or lower CT thresholds to accurately compare performances between individuals. [ABSTRACT FROM AUTHOR]
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- 2018
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10. Marathon Pace Control in Masters Athletes.
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Breen, Derek, Norris, Michelle, Healy, Robin, and Anderson, Ross
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AGE distribution ,OLDER athletes ,ATHLETIC ability ,PROBABILITY theory ,SEX distribution ,STATISTICAL significance ,SPORTS events ,LONG-distance running ,EXERCISE intensity ,DESCRIPTIVE statistics - Abstract
Purpose: Pacing strategies are key to overall performance outcome in distance-running events. Presently, no literature has examined pacing strategies used by masters athletes of all running levels during a competitive marathon. Therefore, this study aimed to examine masters athletes' pacing strategies, categorized by gender, age, and performance level. Methods: Data were retrieved from the 2015 TSC New York City Marathon for 31,762 masters athletes (20,019 men and 11,743 women). Seven performance-classification (PC) groupings were identified via comparison of overall completion time compared with current world records, appropriate to age and gender. Data were categorized via, age, gender, and performance level. Mean 5-km speed for the initial 40 km was calculated, and the fastest and slowest 5-km-split speeds were identified and expressed as a percentage faster or slower than mean speed. Pace range, calculated as the absolute sum of the fastest and slowest split percentages, was then analyzed. Results: Significant main effects were identified for age, gender, and performance level (P < .001), with performance level the most determining factor. Athletes in PC1 displayed the lowest pace range (14.19%± 6.66%), and as the performance levels of athletes decreased, pace range increased linearly (PC2-PC7, 17.52% ± 9.14% to 36.42%± 18.32%). A significant interaction effect was found for gender x performance (P < .001), with women showing a smaller pace range (-3.81%). Conclusions: High-performing masters athletes use more-controlled pacing strategies than their lower-ranked counterparts during a competitive marathon, independent of age and gender. [ABSTRACT FROM AUTHOR]
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- 2018
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11. Resistance training for sprinters : the role of maximum strength, reactive strength and exercise selection
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Healy, Robin, Harrison, Andrew J., and Kenny, Ian C.
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endurance ,education ,resistance training ,strength ,human activities ,sprinters - Abstract
peer-reviewed Each distinct phase of a 100 m sprint is dependent on key race variables e.g. acceleration ability, maximum velocity and speed endurance. Consequently, sprinters frequently supplement their sprint training with resistance training to develop qualities such as maximum strength and reactive strength. The literature assessing the association between these strength qualities and sprint performance has found contrasting results. Additionally, the literature on the prescription of resistance exercises to sprinters is sparse and consequently, evidence based prescription of resistance training is limited. Thus, the aims of this programme of research were to explore the relationship between race variables and 100 m time, explore the role of maximum strength and reactive strength in sprinting and to investigate the prescription and suitability of resistance training exercises for sprinters. Chapter 3 investigated world class male 100 m sprint performance data and found that the acceleration-time constant was an excellent indicator of relative acceleration ability and therefore merits monitoring. Furthermore, maximum velocity was highly related to each 20 m section of the sprint (r = -0.57 to -0.98) and overall 100 m time (r = -0.97) highlighting the crucial importance of maximum velocity to a 100 m sprinter. Chapter 4 investigated the relationship between maximum strength, reactive strength and maximum velocity, 10 m split times and sprint mechanical properties assessed during a 40 m sprint. Peak force and relative force, measured in an isometric mid-thigh pull, and reactive strength index, measured in drop jumps and hopping, had no statistically significant relationship with any of sprint performance measures. However, a high correlation (r = 0.61) was found between peak force and peak horizontal power in men only. The lack of a significant relationship between drop jump reactive strength and any of the sprint performance measures indicated that the use of the reactive strength index as a measure of an athlete’s reactive strength warranted further investigation. Consequently, Chapter 5 assessed how differing performance strategies affect measures of reactive strength in drop jumps. Limiting group variance in contact time was recommended to improve the validity of reactive strength measurements. In Chapter 6 a survey of sprint coaches’ prescription of resistance training exercises was conducted with the hurdle jump found to be the most widely prescribed exercise (93% of coaches). Based on the findings of Chapter 6, a biomechanical comparison between the kinematics of maximum velocity sprinting and hurdle jumping was conducted in Chapter 7. Based on Chapter 7’s findings, the hurdle jump is recommended as a suitable exercise for sprinters due to the greater demand placed on the athlete to reverse the velocity of their centre of mass, similar peak knee extension angular velocities and greater ankle dorsiflexion angular velocities. Common themes emerging from the thesis are also discussed including the implications for using ratio-based measures, using ground contact time as a monitoring tool and recommendations for individualised assessment and training.
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- 2019
12. RESISTANCE TRAINING PRACTICES OF SPRINT COACHES.
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HEALY, ROBIN, KENNY, IAN C., and HARRISON, ANDREW J.
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RESISTANCE training , *PROFESSIONS , *JUDGMENT (Psychology) , *PHYSICAL training & conditioning , *PSYCHOSOCIAL factors , *DECISION making , *QUESTIONNAIRES , *PLYOMETRICS , *ATHLETIC ability , *JUMPING , *COACHES (Athletics) , *SPRINTING - Abstract
This study investigated why sprint coaches prescribe resistance training to their athletes, what exercises they select, and what factors are involved with their selection. Forty-one of 73 (56%) sprint coaches with mean 6 SD coaching experience of 8.4 6 6.4 years were included in this study. Coaches completed an online questionnaire consisting of 5 sections: (a) informed consent, (b) coach background information, (c) coach education and qualifications, (d) coaches’ views on resistance training, and (e) exercise selection and preference. The results showed that coaches prescribe resistance training to their sprint athletes to develop strength and power, which they believe will transfer to sprint performance. Coaches prescribed a wide variety of traditional, ballistic, and plyometric exercises, with the hurdle jump found to be the most widely prescribed exercise (93% of coaches surveyed). Coaches selected exercises for a variety of reasons; however, the 3 most prominent reasons were: (a) performance adaptations; (b) practicality; and (c) the targeting of muscles/muscle groups. Coaches prioritized exercises that specifically developed strength, power, and reactive strength for their sprint athletes. This research can be used to develop educational resources for sprint coaches who wish to use resistance training with their athletes. In addition, sprint coaches can use the data presented to expand their current exercise repertoire and resistance training practices. [ABSTRACT FROM AUTHOR]
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- 2021
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13. The relationship between reactive strength measures and sprinting performance
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Healy, Robin, Smyth, Carol, Harrison, Andrew J., and IRC
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hopping ,drop jumps ,speed - Abstract
peer-reviewed This study examined the relationships between reactive strength measures and sprint performance. Ten female sprinters performed bilateral vertical hops and drop jumps (DJs) from 0.3 m and 40 m sprints. Ground contact time, flight time, height jumped and the reactive strength index (RSI) were calculated during hops and drop jumps. Sprint times over 10, 20, 30 and 40 m were also assessed. High positive correlations, calculated using Pearson’s r correlations, were found between Hop RSI and DJ RSI (r = 0.672) with no other significant correlations found. Although RSI values in hopping and drop jumping are related they should not be used interchangeably as they represent somewhat distinct reactive strength qualities. The results suggest that RSI values, calculated during hopping and drop jumping, were not related to sprint performance.
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- 2017
14. Need of Universal Legislation to Protect Global Freshwater Supplies
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Healy, Robin
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- 1992
15. Assessing Reactive Strength Measures in Jumping and Hopping Using the Optojump™ System
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Healy, Robin, primary, Kenny, Ian C., additional, and Harrison, Andrew J., additional
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- 2016
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16. Resistance training and exercise selection for sprint athletes: a survey of coaches views
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Healy, Robin, Kenny, Ian C., Harrison, Andrew J., and IRC
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resistance exercise ,coaches ,education ,strength training ,athletics ,human activities - Abstract
peer-reviewed Introduction Although the use of resistance training in athletics is commonplace, a paucity of research exists examining the longitudinal effects of resistance training and its effect on performance in sprinters (Bolger et al. 2014). A significant gap in the literature exists about which resistance training exercises are most effective for sprint athletes. The aim of this study was therefore to identify the most commonly prescribed resistance training exercises by sprint coaches to their sprint athletes. Method An online survey was electronically mailed to a database of all coaches registered with Athletics Ireland with a total of 170 individuals responding. Respondents were excluded from the analyses if they were not involved in coaching sprint athletes or if they failed to complete the survey. A total of 50 coaches met the inclusion criteria and were included in the final analyses. The survey separated resistance training exercises into three categories i.e. heavy resistance training exercises, dynamic resistance training exercises and plyometric or jump type exercises. Subjects were asked to name and describe prescribed exercise that was not listed. Subjects were also asked to name the two exercises from each category that they prescribed most often. Results Overall, the repeated (i.e. rebound) hurdle jump was the most popular exercise with 94% (n=47) of coaches reporting that they prescribed it. The jump squat was the most popular dynamic resistance training exercise with 58% (n=29) of coaches reporting that they prescribed it whereas the back squat was the most popular heavy resistance training exercise with 56% (n=28) of coaches reporting that they prescribed it. Discussion The plyometric and jump type exercises were overall, the most prescribed exercises. This is not surprising since plyometric exercises develop the stretch shortening cycle which is very important in sprinting (Sáez de Villarreal et al. 2012). Traditional heavy resistance training exercises were prescribed least, possibly due to concerns of poor specificity and transfer to performance (Young, 2006). Conclusion Coaches prescribe a wide variety of resistance training exercises to their sprint athletes. Plyometric exercises are the most commonly prescribed type of exercise, potentially due to their biomechanical specificity to sprinting. In an effort to maximise the potential transfer between resistance training exercises and sprint performance, coaches should prescribe exercises based on their ability to develop physical qualities that are beneficial to sprinting such as the stretch shortening cycle.
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- 2015
17. A comparison of methods to examine double and single leg drop jump performance
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Healy, Robin, Howard, Róisín Marie, Kenny, Ian C., and Harrison, Andrew J.
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force platform ,reliability ,Optojump ,reactive strength index - Abstract
peer-reviewed The purpose of this study was to compare the use of both a force platform and Optojump photocell system (Microgate, Bolzano, Italy) to examine double leg and single leg drop jumps. Thirteen physically active individuals performed 5 double leg drop jumps and 5 single leg drop jumps from a height of 0.3 m. Ground contact time (CT), flight height (FH) and reactive strength index (RSI) were calculated concurrently for both jump types. Despite intraclass correlation coefficients for all variables being very close to 1, a significant systematic difference was consistently observed between both devices with the Optojump system overestimating CT and underestimating both FH and RSI for both jump types. Both devices demonstrated excellent test- retest reliability with all ICCs for CT, FH and RSI above 0.940. PUBLISHED peer-reviewed
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- 2014
18. A method comparison of force platform and accelerometer measures in jumping
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Howard, Róisín Marie, Healy, Robin, Conway, Richard, and Harrison, Andrew J.
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force platform ,validation ,accelerometer ,drop jumps ,counter movement jumps - Abstract
peer-reviewed The purpose of this study was to compare force calculated using accelerometer data from the SHIMMER device, with force platform data on countermovement and drop jumps. Twelve physically active adults performed 5 counter movement jumps and 5 drop jumps from a height of 0.30 m. An accelerometer was attached near the participant’s centre of mass and simultaneous force and acceleration data were obtained for the jumps. Minimum eccentric force and peak concentric force were calculated concurrently for countermovement jumps and peak landing forces were calculated concurrently for drop jumps. The results showed moderate to poor levels of agreement in forces and a consistent systematic bias between the results from the force platform and accelerometer. PUBLISHED peer-reviewed
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- 2014
19. The effects of a unilateral gluteal activation protocol on single leg drop jump performance
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Healy, Robin, primary and Harrison, Andrew J., additional
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- 2014
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20. Relative Acceleration and Maximum Velocity in Rugby Players According to Age Category and Playing Position.
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Zabaloy S, Freitas TT, Alcaraz PE, Gálvez-González J, Pereira LA, Comyns T, Loturco I, and Healy R
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Abstract: Zabaloy, S, Freitas, TT, Alcaraz, PE, Gálvez-González, J, Pereira, LA, Comyns, T, Loturco, I, and Healy, R. Relative acceleration and maximum velocity in rugby players according to age category and playing position. J Strength Cond Res XX(X): 000-000, 2024-This study aimed to: (a) assess the intrasession reliability of the acceleration time constant (i.e., τ) and τ-derived measures; (b) analyze the influence of τ and maximum velocity (Vmax) on 40-m sprint performance and to compare various sprint-related outcomes among rugby players from different playing positions and age categories; and (c) explore the associations between τ and several sprint performance metrics. A total of 300 male rugby players volunteered to participate in this study and were divided into age categories (i.e., under-14 [U14]: n = 91, age: 12.6 ± 0.5 years; under-16 [U16]: n = 85, age: 14.8 ± 0.5 years; under-18 [U18]: n = 75, age: 16.6 ± 0.5 years; and Seniors: n = 49, age: 24.2 ± 4.1 years). The results demonstrated good to excellent reliability for all measured parameters (intraclass correlation coefficient >0.75 and coefficient of variation <9.0%). Younger players (i.e., U14 and U16) displayed lower τ values (effect size: moderate to large; p < 0.02) compared with their older peers (i.e., U18 and Seniors), regardless of their playing position. Moreover, τ was associated with sprint performance metrics at varying levels of correlations (Rho: small to almost perfect; p < 0.001). In conclusion, younger players exhibited lower τ values than their older counterparts, irrespective of their playing positions. The model employed in this study demonstrated its accuracy in assessing several key sprint performance metrics, offering insights that can enhance sprint training programs for rugby players, which can be based on the associations observed among these different variables., (Copyright © 2024 National Strength and Conditioning Association.)
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- 2024
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