Pistol and Rifle Performance: Gender and Relative Age Effect Analysis
Abstract
:1. Introduction
2. Materials and Methods
2.1. Participants
2.2. Method
2.3. Data Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- ISSF. Official Statutes Rules and Regulations; ISSF: München, Germany, 2018. [Google Scholar]
- IOC. The IOC Takes Historic Step Forward to Advance Gender Equality Following Executive Board Approval of Bold Recommendations. Available online: https://www.olympic.org/news/the-ioc-takes-historic-step-forward-to-advance-gender-equality-following-executive-board-approval-of-bold-recommendations (accessed on 15 September 2019).
- Mon-López, D.; Tejero-González, C.; Calero, S. Recent changes in women’s Olympic shooting and effects in performance. PLoS ONE 2019, 14, e0216390. [Google Scholar] [CrossRef]
- Goldschmied, N.; Kowalczyk, J. Gender Performance in the NCAA Rifle Championships: Where is the Gap? Sex Roles 2016, 74, 310–322. [Google Scholar] [CrossRef]
- Kemnitz, C.; Johnson, R.; Merullo, D.; Rice, V. Relation of rifle stock length and weight to military rifle marksmanship performance by men and women. Percept. Mot. Skills 2001, 93, 479. [Google Scholar] [CrossRef] [PubMed]
- Sandbakk, Ø.; Solli, G.S.; Holmberg, H.-C. Sex differences in world record performance: The influence of sport discipline and competition duration. Int. J. Sports Physiol. Perform. 2017. [Google Scholar] [CrossRef] [PubMed]
- Kemnitz, C.; Rice, V.; Irwin, J.; Merullo, D.; Johnson, R. The Effect of Gender, Rifle Stock Length, and Rifle Weight on Military Marksmanship and Arm-Hand Steadiness; Military Performance and Neuroscience Division, U.S. Army Research Institute of Environmental Medicine: Natick, MA, USA, 1997. [Google Scholar]
- Anderson, G.S.; Plecas, D.B. Predicting shooting scores from physical performance data. Policing 2000, 23, 525–537. [Google Scholar] [CrossRef] [Green Version]
- Copay, A.G.; Charles, M.T. The influence of grip strength on handgun marksmanship in basic law enforcement training. Policing 2001, 24, 32–39. [Google Scholar] [CrossRef]
- Vučković, G.; Dopsaj, M.; Radovanović, R.; Jovanović, A. Characteristics of shooting efficiency during a basic shooting training program involving police officers of both sexes. Fac. Univ. Ser. Phys. Educ. Sport 2008, 6, 147–157. [Google Scholar]
- Helsen, W.F.; Van Winckel, J.; Williams, A.M. The relative age effect in youth soccer across Europe. J. Sports Sci. 2005, 23, 629–636. [Google Scholar] [CrossRef] [Green Version]
- Helsen, W.F.; Hodges, N.J.; Van Winckel, J.; Starkes, J.L. The roles of talent, physical precocity and practice in the development of soccer expertise. J. Sports Sci. 2000, 18, 727–736. [Google Scholar] [CrossRef]
- Turnnidge, J.; Hancock, D.; Côté, J. The influence of birth date and place of development on youth sport participation. Scand. J. Med. Sci. Sports 2014, 24, 461–468. [Google Scholar] [CrossRef]
- Ford, P.R.; Carling, C.; Garces, M.; Marques, M.; Miguel, C.; Farrant, A.; Stenling, A.; Moreno, J.; Le Gall, F.; Holmström, S. The developmental activities of elite soccer players aged under-16 years from Brazil, England, France, Ghana, Mexico, Portugal and Sweden. J. Sports Sci. 2012, 30, 1653–1663. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hancock, D.J.; Ste-Marie, D.M.; Young, B.W. Coach selections and the relative age effect in male youth ice hockey. Res. Q. Exerc. Sport 2013, 84, 126–130. [Google Scholar] [CrossRef] [PubMed]
- Yagüe, J.M.; de la Rubia, A.; Sánchez-Molina, J.; Maroto-Izquierdo, S.; Molinero, O. The relative age effect in the 10 best leagues of male professional football of the Union of European Football Associations (UEFA). J. Sports Sci. Med. 2018, 17, 409. [Google Scholar] [PubMed]
- Cobley, S.; Baker, J.; Wattie, N.; McKenna, J. Annual age-grouping and athlete development. Sports Med. 2009, 39, 235–256. [Google Scholar] [CrossRef]
- Baker, J.; Schorer, J.; Cobley, S.; Bräutigam, H.; Büsch, D. Gender, depth of competition and relative age effects in team sports. Asian J. Exerc. Sports Sci. 2009, 6, 1. [Google Scholar]
- Baker, J.; Janning, C.; Wong, H.; Cobley, S.; Schorer, J. Variations in relative age effects in individual sports: Skiing, figure skating and gymnastics. Eur. J. Sport Sci. 2014, 14, S183–S190. [Google Scholar] [CrossRef]
- Medic, N.; Young, B.W.; Starkes, J.L.; Weir, P.L.; Grove, J.R. Gender, age, and sport differences in relative age effects among US Masters swimming and track and field athletes. J. Sports Sci. 2009, 27, 1535–1544. [Google Scholar] [CrossRef]
- Delorme, N.; Raspaud, M. Is there an influence of relative age on participation in non-physical sports activities? The example of shooting sports. J. Sports Sci. 2009, 27, 1035–1042. [Google Scholar] [CrossRef] [Green Version]
- Côté, J.; Macdonald, D.J.; Baker, J.; Abernethy, B. When “where” is more important than “when”: Birthplace and birthdate effects on the achievement of sporting expertise. J. Sports Sci. 2006, 24, 1065–1073. [Google Scholar] [CrossRef]
- Schorer, J.; Wattie, N.; Baker, J.R. A new dimension to relative age effects: Constant year effects in German youth handball. PLoS ONE 2013, 8, e60336. [Google Scholar] [CrossRef]
- Romann, M.; Rössler, R.; Javet, M.; Faude, O. Relative age effects in Swiss talent development–a nationwide analysis of all sports. J. Sports Sci. 2018, 36, 2025–2031. [Google Scholar] [CrossRef] [PubMed]
- Smith, K.L.; Weir, P.L.; Till, K.; Romann, M.; Cobley, S. Relative age effects across and within female sport contexts: A systematic review and meta-analysis. Sports Med. 2018, 48, 1451–1478. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Goldschmied, N. No evidence for the relative age effect in professional women’s sports. Sports Med. 2011, 41, 87–88. [Google Scholar] [CrossRef] [PubMed]
- Musch, J.; Grondin, S. Unequal competition as an impediment to personal development: A review of the relative age effect in sport. Dev. Rev. 2001, 21, 147–167. [Google Scholar] [CrossRef] [Green Version]
- Fukuda, D.H. Analysis of the relative age effect in elite youth judo athletes. Int. J. Sports Physiol. Perform. 2015, 10, 1048–1051. [Google Scholar] [CrossRef]
- Cumming, S.P.; Lloyd, R.S.; Oliver, J.L.; Eisenmann, J.C.; Malina, R.M. Bio-banding in sport: Applications to competition, talent identification, and strength and conditioning of youth athletes. Strength Cond. J. 2017, 39, 34–47. [Google Scholar] [CrossRef] [Green Version]
- Mon-López, D.; Tejero-González, C.M. Validity and reliability of the TargetScan ISSF Pistol & Rifle application for measuring shooting performance. Scand. J. Med. Sci. Sports 2019. [Google Scholar] [CrossRef]
- Sattlecker, G.; Buchecker, M.; Gressenbauer, C.; Müller, E.; Lindinger, S.J. Factors discriminating high from low score performance in biathlon shooting. Int. J. Sports Physiol. Perform. 2017, 12, 377–384. [Google Scholar] [CrossRef]
- Peljha, Z.; Michaelides, M.; Collins, D. The relative importance of selected physical fitness parameters in Olympic clay target shooting. J. Hum. Sport Exerc. 2018. [Google Scholar] [CrossRef] [Green Version]
- Ihalainen, S.; Mononen, K.; Linnamo, V.; Kuitunen, S. Which technical factors explain competition performance in air rifle shooting? Int. J. Sports Sci. Coach. 2017, 13, 78–85. [Google Scholar] [CrossRef]
- Mon, D.; Zakynthinaki, M.S.; Cordente, C.A.; Barriopedro, M.I.; Sampedro, J. Body sway and performance at competition in male pistol and rifle Olympic shooters. Biol. Hum. Kinet. 2014, 6, 56–62. [Google Scholar] [CrossRef] [Green Version]
- Van Rossum, J.H. Relative age effect revisited: Findings from the dance domain. Percept. Mot. Skills 2006, 102, 302–308. [Google Scholar] [CrossRef] [PubMed]
- Cobley, S.; Schorer, J.; Baker, J. Relative age effects in professional German soccer: A historical analysis. J. Sports Sci. 2008, 26, 1531–1538. [Google Scholar] [CrossRef] [PubMed]
- Hancock, D.J.; Starkes, J.L.; Ste-Marie, D.M. The relative age effect in female gymnastics: A flip-flop phenomenon. J. Sports Sci. 2015, 34, 1530–1534. [Google Scholar]
- Mon-López, D.; Zakynthinaki, M.S.; Cordente, C.A.; García-González, J. The relationship between pistol Olympic shooting performance, handgrip and shoulder abduction strength. J. Hum. Kinet. 2019, 69, 7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Mon, D.; Zakynthinaki, M.S.; Cordente, C.A.; Antón, A.J.M.; Rodríguez, B.R.; Jiménez, D.L. Finger Flexor Force Influences Performance in Senior Male Air Pistol Olympic Shooting. PLoS ONE 2015, 10, e0129862. [Google Scholar] [CrossRef]
- Mon, D.; Zakynthinaki, M.S.; Calero, S. Connection between performance and body sway/morphology in juvenile Olympic shooters. J. Hum. Sport Exerc. 2019, 14, 75–85. [Google Scholar] [CrossRef]
- Fonseca, F.S.; Figueiredo, L.S.; Gantois, P.; de Lima-Junior, D.; Fortes, L.S. Relative Age Effect is Modulated by Playing Position but is Not Related to Competitive Success in Elite Under-19 Handball Athletes. Sports 2019, 7, 91. [Google Scholar] [CrossRef] [Green Version]
- Ibáñez, S.J.; Mazo, A.; Nascimento, J.; Garcia-Rubio, J. The Relative Age Effect in under-18 basketball: Effects on performance according to playing position. PLoS ONE 2018, 13, e0200408. [Google Scholar] [CrossRef] [Green Version]
Sample | Age (Years) | Pistol and Rifle | Pistol | Rifle | ||||
---|---|---|---|---|---|---|---|---|
N | % | N | % | N | % | |||
All | 24.810 ± 8.063 | 704 | 100 | 339 | 48.200 | 365 | 51.800 | |
Gender | Men | 25.980 ± 8.499 | 349 | 49.600 | 173 | 51.000 | 176 | 48.200 |
Women | 23.650 ± 7.500 | 355 | 50.400 | 166 | 49.000 | 189 | 51.800 | |
Category | Junior | 18.350 ± 1.383 | 266 | 37.800 | 126 | 37.200 | 140 | 38.400 |
Senior | 28.730 ± 7.917 | 438 | 62.200 | 213 | 62.800 | 225 | 61.600 |
Category | Position | Pistol | ||||
---|---|---|---|---|---|---|
Men | Women | P | δ | % | ||
Junior and Senior | All | 568.353 ± 9.094 | 562.928 ± 9.791 | <0.001 | 0.574 | 0.955 |
Junior | All | 564.293 ± 9.767 | 560.471 ± 7.706 | 0.016 | 0.434 | 0.677 |
1–10 | 577.400 ± 3.747 | 570.700 ± 2.331 | <0.001 | 2.147 | 1.160 | |
11–20 | 570.000 ± 0.816 | 566.900 ± 0.994 | <0.001 | 3.408 | 0.544 | |
21–30 | 567.200 ± 0.918 | 563.600 ± 0.843 | <0.001 | 4.084 | 0,635 | |
31–40 | 563.700 ± 1.767 | 560.900 ± 1.197 | 0.001 | 1.855 | 0.497 | |
41–50 | 557.000 ± 1.563 | 557.400 ± 1.264 | 0.537 | - | - | |
≥51 | 547.000 ± 5.237 | 550.944 ± 5.954 | 0.119 | - | - | |
Senior | All | 570.400 ± 8.030 | 564.633 ± 10.915 | <0.001 | 0.601 | 1.011 |
1–10 | 582.400 ± 1.955 | 581.300 ± 3.128 | 0.358 | - | - | |
11–20 | 579.200 ± 0.788 | 573.800 ± 0.918 | <0.001 | 6.312 | 0.189 | |
21–30 | 576.600 ± 0.516 | 572.100 ± 0.875 | <0.001 | 6.264 | 0.780 | |
31–40 | 574.500 ± 0.707 | 570.200 ± 0.788 | <0.001 | 5.744 | 0.748 | |
41–50 | 573.300 ± 0.483 | 567.600 ± 0.516 | <0.001 | 11.405 | 0.994 | |
≥51 | 565.169 ± 6.462 | 555.917 ± 8.284 | <0.001 | 1.245 | 1.637 |
Category | Position | Rifle | ||||
---|---|---|---|---|---|---|
Men | Women | P | δ | % | ||
Junior and Senior | All | 619.398 ± 7.344 | 620.104 ± 5.875 | 0.311 | - | - |
Junior | All | 618.894 ± 5.371 | 618.580 ± 6.761 | 0.760 | - | - |
1–10 | 626.920 ± 1.348 | 627.010 ± 1.653 | 0.893 | - | - | |
11–20 | 622.560 ± 1.374 | 624.190 ± 0.701 | 0.003 | 1.494 | 0.262 | |
21–30 | 619.580 ± 0.492 | 622.350 ± 0.604 | <0.001 | 5.028 | 0.447 | |
31–40 | 618.550 ± 0.365 | 620.540 ± 0.739 | <0.001 | 3.414 | 0.332 | |
41–50 | 616.360 ± 0.856 | 618.010 ± 0.944 | 0.001 | 1.831 | 0.268 | |
≥51 | 611.914 ± 4.315 | 611.196 ± 5.502 | 0.675 | - | - | |
Senior | All | 619.687 ± 8.272 | 621.128 ± 4.969 | 0.114 | - | - |
1–10 | 629.420 ± 1.891 | 628.290 ± 1.582 | 0.165 | - | - | |
11–20 | 626.500 ± 0.573 | 625.960 ± 0.464 | 0.004 | 1.035 | 0.086 | |
21–30 | 625.480 ± 0.253 | 624.900 ± 0.230 | <0.001 | 2.398 | 0.093 | |
31–40 | 624.280 ± 0.410 | 624.130 ± 0.258 | 0.341 | - | - | |
41–50 | 622.690 ± 0.369 | 623.230 ± 0.483 | 0.012 | 1.256 | 0.087 | |
≥51 | 614.834 ± 8.128 | 617.816 ± 4.064 | 0.011 | 0.464 | 0.485 |
Sample | Birth Trimester | P | |||||||
---|---|---|---|---|---|---|---|---|---|
Q1 | Q2 | Q3 | Q4 | ||||||
N | % | N | % | N | % | N | % | ||
All | 182 | 25.900 | 169 | 24.000 | 183 | 26.000 | 170 | 24.100 | 0.910 |
Pistol | |||||||||
Junior | 31 | 24.600 | 37 | 29.400 | 30 | 23.800 | 28 | 22.200 | 0.699 |
Senior | 46 | 21.600 | 48 | 22.500 | 63 | 29.600 | 56 | 26.300 | 0.330 |
Men | 38 | 22.000 | 45 | 26.000 | 48 | 27.700 | 42 | 24.300 | 0.737 |
Women | 39 | 23.500 | 40 | 24.100 | 45 | 27.100 | 42 | 25.300 | 0.918 |
Rifle | |||||||||
Junior | 42 | 30.000 | 24 | 17.100 | 41 | 29.300 | 33 | 23.600 | 0.112 |
Senior | 63 | 28.000 | 60 | 26.700 | 49 | 21.800 | 53 | 23.600 | 0.535 |
Men | 51 | 29.000 | 41 | 23.300 | 40 | 22.700 | 44 | 25.000 | 0.641 |
Women | 54 | 28.600 | 43 | 22.800 | 50 | 26.500 | 42 | 22.200 | 0.554 |
Sample | Birth Trimester | P | |||
---|---|---|---|---|---|
Q1 | Q2 | Q3 | Q4 | ||
Gender | |||||
Men | 597.049 ± 26.285 | 592.445 ± 27.639 | 592.293 ± 26.172 | 594.530 ± 27.514 | 0.734 |
Women | 597.190 ± 28.490 | 593.025 ± 29.263 | 591.745 ± 30.669 | 591.310 ± 30.328 | 0.679 |
Category | |||||
Junior | 594.901 ± 27.401 | 585.036 ± 28.363 | 594.289 ± 30.791 | 592.669 ± 30.028 | 0.202 |
Senior | 598.608 ± 27.355 | 597.076 ± 27.555 | 590.563 ± 27.022 | 593.090 ± 28.386 | 0.390 |
Event | |||||
Pistol | 566.403 ± 8.570 | 565.788 ± 9.294 | 565.462 ± 10.639 | 565.214 ± 10.773 | 0.685 |
Rifle | 619.649 ± 6.166 | 619.993 ± 6.746 | 619.440 ± 6.991 | 620.019 ± 6.749 | 0.914 |
Pistol | |||||
Junior | 564.258 ± 7.289 | 563.081 ± 8.535 | 559.800 ± 10.141 | 561.464 ± 9.283 | 0.206 |
Senior | 567.848 ± 9.128 | 567.875 ± 9.400 | 568.159 ± 9.847 | 567.089 ± 11.050 | 0.955 |
Pistol | |||||
Men | 567.947 ± 8.837 | 567.467 ± 9.104 | 569.917 ± 9.305 | 567.881 ± 9.176 | 0.605 |
Women | 564.897 ± 8.133 | 563.900 ± 9.253 | 560.711 ± 9.974 | 562.548 ± 11.670 | 0.244 |
Rifle | |||||
Junior | 617.519 ± 6.758 | 618.883 ± 3.698 | 619.524 ± 6.304 | 619.145 ± 6.565 | 0.403 |
Senior | 621.068 ± 5.333 | 620.437 ± 7.615 | 619.369 ± 7.583 | 620.562 ± 6.866 | 0.789 |
Rifle | |||||
Men | 618.733 ± 5.915 | 619.861 ± 7.733 | 619.145 ± 8.245 | 619.968 ± 7.774 | 0.816 |
Women | 620.513 ± 6.326 | 620.119 ± 5.741 | 619.676 ± 5.878 | 620.071 ± 5.572 | 0.912 |
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Mon-López, D.; Tejero-González, C.M.; de la Rubia Riaza, A.; Calvo, J.L. Pistol and Rifle Performance: Gender and Relative Age Effect Analysis. Int. J. Environ. Res. Public Health 2020, 17, 1365. https://doi.org/10.3390/ijerph17041365
Mon-López D, Tejero-González CM, de la Rubia Riaza A, Calvo JL. Pistol and Rifle Performance: Gender and Relative Age Effect Analysis. International Journal of Environmental Research and Public Health. 2020; 17(4):1365. https://doi.org/10.3390/ijerph17041365
Chicago/Turabian StyleMon-López, Daniel, Carlos M. Tejero-González, Alfonso de la Rubia Riaza, and Jorge Lorenzo Calvo. 2020. "Pistol and Rifle Performance: Gender and Relative Age Effect Analysis" International Journal of Environmental Research and Public Health 17, no. 4: 1365. https://doi.org/10.3390/ijerph17041365