Class Year Differences in Anthropometric and Fitness Measures in Division I Field Hockey Athletes Pre and Post Season
Source abstract
Abstract
The purpose of this study was to investigate the way in which anthropometric and fitness measures vary by class year before and after a Division I female field hockey competitive season. Anthropometric (mass and percent body fat) and fitness measures (vertical jump and Yo-Yo Intermittent Recovery Test 1 (Yo-Yo IR1) distance) were collected on 16 athletes (mean ± SD: age = 19.5 ± 0.9 years) before and after a competitive season. Class year, based on the athlete’s year in college, was used to group athletes in the study. Body mass, vertical jump height, and Yo-Yo IR1 distance all increased pre to post season (p < 0.05). First-year athletes had a significantly lower body mass, vertical jump height and Yo-Yo IR1 distance compared to other class years across the testing period (p < 0.05). Post season levels for first-years were lower than both pre and post season levels for sophomore or junior athletes. Team mean vertical jump increased 8.9%, with all but two athletes improving. Team mean Yo-Yo IR1 distance increased 16.4%. Athlete training over the course of the study was designed to improve on field playing performance and training was not directly select to improve measures in the study; therefore, the potential success of integrating fitness, speed, and strength development into technical training sessions is indicated. Coaches should be aware that first-year athletes may not be at the same level of conditioning as sophomores and juniors. Coaches should work specifically with the first-year athletes during the season to monitor their fitness levels.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Sports Performance and Training · Sports injuries and prevention · Occupational Health and Performance
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Shiley School of Engineering, University of Portland, Portland, OR 97203, USA
Department of Athletics, Bucknell University, Lewisburg, PA 17837, USA
Department of Chemical Engineering, Bucknell University, Lewisburg, PA 17837, USA
References (39)
Show source-provided references
1. Faster Heart Rate Recovery Correlates with High-Intensity Match Activity in Female Field Hockey Players—Training Implications10.1519/JSC.0000000000003073 ↗
2. McGuinness, A., Passmore, D., Malone, S., and Collins, K. (2020). Peak Running Intensity of Elite Female Field Hockey Players during Competitive Match Play. J. Strength Cond. Res.10.1519/JSC.0000000000003582 ↗
3. The International Hockey Federation (2016). The International Hockey Federation Rules of Hockey from 1 January 2017, The International Hockey Federation.
4. Day, J. (1986). Multivariate Analysis of Fitness of Female Field Hockey Players. Perspectives in Kinanthropometry, Human Kinetics.
5. Evaluation of anthropometric, physiological, and skill-related tests for talent identification in female field hockey10.1139/h03-029 ↗
6. A half century of scientific research in field hockey
7. NCAA Academic and Membership Affairs Staff (2017). 2017–2018 NCAA Division I Manual, NCAA.
8. Physical, Performance, and Functional Movement Characteristics of Ncaa Division III Women’s Soccer and Volleyball Players
9. Positional characteristics of physical performance in Division I college female soccer players
10. Physiological characteristics of projected starters and non-starters in the field positions from a Division I women’s soccer team
11. The physical and athletic performance characteristics of Division I collegiate female soccer players by position10.1519/JSC.0000000000001561 ↗
12. (2019, June 12). NCAA DI Women’s Soccer Rankings—NCAA Women’s Soccer RPI. Available online: https://www.ncaa.com/rankings/soccer-women/d1/ncaa-womens-soccer-rpi.
13. (2019, June 12). NCAA DI Field Hockey Rankings—NCAA Field Hockey RPI. Available online: https://www.ncaa.com/rankings/fieldhockey/d1/ncaa-field-hockey-rpi.
14. Andres, K. (2018). 2018 and 2019 NCAA Men’s and Women’s Soccer Rules, NCAA.
15. A descriptive profile of elite US women’s collegiate field hockey players
16. How prepared are college freshmen athletes for the rigors of college strength and conditioning? A survey of college strength and conditioning coaches10.1519/JSC.0000000000000473 ↗
17. Longitudinal effects of a collegiate strength and conditioning program in American football10.1519/JSC.0b013e3181dc4255 ↗
18. A cross-sectional analysis of the characteristics of Division I collegiate female soccer field players across year of eligibility
19. Body composition changes among female NCAA division 1 athletes across the competitive season and over a multiyear time frame10.1519/JSC.0b013e3182a20f06 ↗
20. Four-year changes in strength, power, and aerobic fitness in women college basketball players10.1519/1073-6840(1997)019<0046:FYCISP>2.3.CO;2 ↗
21. Performance changes during a college playing career in NCAA division III football athletes10.1519/JSC.0b013e31821743df ↗
22. Changes in fitness during 4 years of intercollegiate basketball
23. Uncovering the FUTREX-6100XL prediction equation for the percentage body fat10.3109/03091902.2012.708382 ↗
24. Percent body fat estimations in college women using field and laboratory methods: A three-compartment model approach10.1186/1550-2783-4-16 ↗
25. Validity of near-infrared interactance (FUTREX 6100/XL) for estimating body fat percentage in elite rowers10.1111/cpf.12328 ↗
26. The Yo-Yo Intermittent Recovery Test10.2165/00007256-200838010-00004 ↗
27. The yo-yo intermittent recovery test: Physiological response, reliability, and validity10.1249/01.MSS.0000058441.94520.32 ↗
28. Locomotor, heart-rate, and metabolic power characteristics of youth women’s field hockey: Female athletes in motion (FAiM) study10.1080/02701367.2015.1124972 ↗
29. McFarland, I.T., Dawes, J.J., Elder, C.L., and Lockie, R.G. (2016). Relationship of two vertical jumping tests to sprint and change of direction speed among male and female collegiate soccer players. Sports, 4.10.3390/sports4010011 ↗
30. Validity of two alternative systems for measuring vertical jump height
31. Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs10.3389/fpsyg.2013.00863 ↗
32. Portney, L.G., and Watkins, M.P. (2000). Foundations of Clinical Research: Applications to Practice, Prentice Hill Health.
33. The ‘freshman 5′: A meta-analysis of weight gain in the freshman year of college10.1080/07448480903221392 ↗
34. Vadeboncoeur, C., Townsend, N., and Foster, C. (2015). A meta-analysis of weight gain in first year university students: Is freshman 15 a myth?. BMC Obes., 2.10.1186/s40608-015-0051-7 ↗
35. Upper extremity augmentation of lower extremity kinetics during countermovement vertical jumps10.1080/026404199365768 ↗
36. Countermovement jump in performance diagnostics: Use of the correct jumping technique10.1080/17461391.2011.566369 ↗
37. The yo-yo test: Reliability and association with a 20-m shuttle run and VO2max10.1123/ijspp.1.2.137 ↗
38. The Effect of a 4 week aerobic interval training block using maximal aerobic speed as the intensity measure with elite female hockey players
39. The yo-yo intermittent tests: A systematic review and structured compendium of test results10.3389/fphys.2018.00870 ↗