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BRIEF RESEARCH REPORT article

Front. Sports Act. Living, 18 April 2023
Sec. Biomechanics and Control of Human Movement

Kinematic and kinetic comparison between preprofessional pitchers from the Dominican Republic and the United States

\r\nKristen F. Nicholson
Kristen F. Nicholson1*Joseph A. Mylott,&#x;Joseph A. Mylott1,†Tessa C. Hulburt,&#x;Tessa C. Hulburt1,†Tyler J. Hamer,&#x;Tyler J. Hamer2,†Garrett S. Bullock,,\r\nGarrett S. Bullock1,3,4
  • 1Department of Orthopaedic Surgery, Wake Forest School of Medicine, Winston Salem, NC, United States
  • 2Department of Biomechanics, University of Nebraska at Omaha, Omaha, NE, United States
  • 3Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston Salem, NC, United States
  • 4Centre for Sport, Exercise and Osteoarthritis Research Versus Arthritis, University of Oxford, Oxford, United Kingdom

Introduction: Pitching biomechanical efficiency is defined as the association between pitch velocity and arm kinetics. Pitching mechanics inefficiency, an increase in arm kinetics without the resultant increase in pitch velocity, can lead to increased arm strain, increasing arm injury risk. The purpose of this study was to compare arm kinetics, elbow varus torque and shoulder force, in preprofessional United States (US) and Dominican Republic (DR) pitchers. Kinematics that are known to influence elbow varus torque and shoulder force as well as a representative of pitch velocity (hand velocity) were also compared.

Methods: A retrospective review was performed on baseball pitchers from the DR and US who participated in biomechanical evaluations conducted by the University biomechanics laboratory personnel. Three-dimensional biomechanical analyses were performed on US (n = 37) and DR (n = 37) baseball pitchers. Potential differences between US and DR pitchers were assessed through analysis of covariance with 95% confidence intervals [95% confidence Interval (CI)].

Results: Preprofessional DR pitchers experienced increased elbow varus torque compared with their US counterparts [DR: 7.5 (1.1); US: 5.9 (1.1) %BWxH; Beta: −2.0 (95% CI: −2.7, −1.2) %BWxH], despite throwing fastballs with slower hand velocity [DR: 3,967.1 (939.4); US: 5,109.1 (613.8) °/s; Beta: 1,129.5 (95% CI: 677.5, 1,581.4) °/s]. DR and US pitchers demonstrated similar shoulder force [DR: 136.8 (23.8); US: 155.0 (25.7); Beta: 0.4 (95% CI: −1.2, 19.7) %BW].

Discussion: Increased elbow varus torque although decreased hand velocity suggests inefficient pitching mechanics among DR pitchers. Inefficient pitching mechanics and increased elbow torque should be considered when developing training programs and pitching plans for professional pitchers from the Dominican Republic.

Introduction

Musculoskeletal injuries in baseball athletes are a persistent and significant problem, with the greatest incidence attributed to shoulder and elbow injuries (1, 2). Overuse conditions and throw-related injuries are common, and arm injury incidence continues to increase (3). Pitching arm injuries are often attributed to excessive shoulder force and elbow varus torque (4, 5). The rapid acceleration and deceleration of the arm during pitching create high forces within the glenohumeral joint, leading to increased humeral distraction that is resisted by several static and dynamic stabilizers (5, 6). This excessive shoulder force required to resist distraction can result in symptomatic rotator cuff injury, labral pathology, and other injuries to the shoulder (5, 6). In addition to shoulder stress, pitching places high levels of stress on the medial elbow, where torque can exceed 110 Nm, during the late cocking phase (7, 8). These high torques, coupled with the repetitive exposure to overhead throwing, are significant contributors to the ulnar collateral ligament (UCL) tears and elbow valgus overload syndrome (9).

Pitching biomechanical efficiency is defined as the association between pitch velocity and arm kinetics, such as shoulder force and elbow varus torque (10). Efficient pitching mechanics allow for maximized pitch velocity while minimizing arm kinetics. Pitching inefficiency can increase arm strain and injury risk (11). Recent literature has shown that pitch velocity and kinematic variables of maximum humeral rotation velocity, shoulder abduction at foot strike, and maximum shoulder external rotation significantly influence both elbow varus torque and shoulder force in baseball pitchers from the United States (US) (11). In addition, maximum humeral rotation velocity, among other kinematic variables, has a significant influence on pitch velocity (12). When considered together, these variables can help us begin to understand concepts, such as pitching efficiency and ideal pitching mechanics. As such, understanding potential inefficiencies in pitching kinematics and kinetics can elucidate shoulder and elbow injury risk.

Training habits and playing exposure prior to signing a professional baseball contract may impact pitching mechanical efficiency and predispose baseball pitchers to different injury risks (13, 14). A majority of previous pitching biomechanics studies have analyzed American or Japanese cohorts. However, Major League Baseball (MLB) continues to increase worldwide participation, with over 25% of all MLB players coming from outside North America (15, 16). The largest population of MLB foreign-born players reside in the Dominican Republic (DR), at a prevalence of 10% (16). In a sample of over 1,000 US and foreign-born amateur youth baseball pitchers, foreign-born pitchers threw an average of one to two standard deviations faster and farther than American pitchers (13). In another sample of over 130 US- and DR-born amateur baseball players that recently signed professional baseball contracts, DR-born players exhibited a greater prevalence of poor core control and deficient performance of fundamental movement patterns compared with the US-born players (14). While these previous studies highlight differences in pitching velocity and functional movement, differences in pitching efficiency and injury risk among pitchers from the US and DR pitchers are poorly understood. There is a need to quantify these potential differences as pitchers enter the MLB organization. Most pitchers start their professional baseball careers in developmental and minor league play. Understanding pitching strategies and injury risk at the time of entry could be invaluable during this developmental period.

Shoulder force and elbow varus torque are markers of arm stress among all pitchers; however; DR pitchers' mechanics and velocity-producing strategies may differ from their American counterparts, resulting in differences in throwing arm kinetics. Therefore, the purpose of this study is to compare elbow varus torque, shoulder force, and kinematics, that influence these arm stress variables in preprofessional pitchers from the US and the DR. We hypothesize that US and DR pitchers will have similar pitching strategies with no significant differences in kinetics or kinematics.

Methods

A retrospective review was performed on baseball pitchers from the DR and US who participated in biomechanical evaluations conducted by the University biomechanics laboratory personnel. This study was approved by the University Institutional Review Board.

Three-dimensional biomechanical analyses were performed on US (n = 37) and DR (n = 37) baseball pitchers. Inclusion criteria included: (1) baseball players with a pitcher as their primary position; (2) being able to participate in all training, practices, and competitions; and (3) aged 16 and above. Exclusion criteria comprised: (1) signed a professional baseball contract at the time of data collection, (2) baseball players that played a position other than pitcher as their primary position within the same season, (3) shoulder or elbow injury within 6 months of the biomechanical evaluation. All US pitchers were collegiate-level pitchers on a National Collegiate Athletic Association Division 1 program. All DR pitchers were prospects for the upcoming MLB draft.

Data were examined from reports generated as part of a pitching evaluation. As part of the evaluation, 3D motion data were collected using the 40 retro-reflective markers set required for PitchTrak (17), and a 12-camera motion analysis system (Qualisys AB, Göteborg, Sweden). Motion data were collected at 400 Hz. Each pitcher went through a normal pregame warm-up period, before pitching four fastballs, four to eight breaking balls, and four changeups to a catcher receiving throws at a regulation distance (18.4 m). Fastballs were always thrown first, and only fastball data were analyzed for this study. Pitching models were defined using the PitchTrak model, and segment coordinate systems were defined according to ISB recommendations (17, 18). Data were processed and variables were calculated with Visual3D (C-Motion, Inc., Germantown, MD). Shoulder force was calculated as the maximum joint force between the upper arm and the trunk and normalized by body weight (N). Elbow varus torque was calculated as the maximum joint torque between the forearm and upper arm on the medial/lateral axis and was normalized by body weight multiplied by height (Nm). Variables of two or more fastballs were averaged for each pitcher. Maximum hand velocity was used as a representation of ball velocity. Hand velocity was defined as the angular velocity of the pitching hand segment in the laboratory's coordinate system in the direction of home plate. The maximum hand velocity occurred at ball release.

Elbow varus torque and shoulder force are influenced by player height, mass, age (19, 20), hand dominance (21), and pitch velocity (22). The torque and force values are normalized by body weight times height and body weight, respectively, to account for the influence of height and mass. Age, hand dominance, and pitch velocity are known to influence elbow torque and shoulder force; therefore, age, hand dominance, and hand velocity will be controlled within the analyses. Controlling confounding variables will give insight into how pitching mechanics influence pitching arm kinetics.

Missing data were assessed before analyses. Missing data were minimal (<1%) and complete case analyses were performed. Descriptive statistics were calculated for the mean (standard deviation) and count (percent). The potential difference between DR and US pitchers were assessed through analysis of covariance (ANCOVA) with 95% confidence intervals [95% confidence interval (CI)]. Sensitivity analyses were performed with raw elbow and shoulder kinetic data and included mass and height as covariates within the models. Further sensitivity analyses were performed to evaluate the potential influence of the random effects of each pitcher and repeated pitching measurements on the results. A series of mixed models, with a random effect at the individual pitcher level, were performed on both kinetic and kinematic data. All analyses were performed in R 4.1.2 R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/, with the glm function used for model development.

Results

Seventy-four pitchers were included in this study. United States pitchers demonstrated decreased elbow varus torque, increased shoulder force, decreased maximum shoulder external rotation, decreased maximum humeral rotation velocity, and increased maximum hand velocity (pitch velocity) when compared with DR pitchers (Table 1).

TABLE 1
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Table 1. Participant descriptives.

Statistical results before and after adjusting for confounding variables can be seen in Table 2. When controlling for confounding variables (i.e., holding age, hand dominance, and pitch velocity constant), United States pitchers demonstrated a further reduction in elbow varus torque compared with DR pitchers [Beta: −2.0 (95% CI: −2.7, −1.2) %BWxH, p < 0.001]. There were no differences in shoulder force between the United States and DR pitchers [0.4 (95% CI: −1.2, 19.7) %BW, p = 0.566]. Further, when controlling for age and hand dominance, United States pitchers maintained an increased hand velocity compared with DR pitchers [1,129.5 (95% CI: 677.5, 1,581.4) °/s, p < 0.001]. Sensitivity analyses results on non-normalized, raw elbow and shoulder kinetics data demonstrated similar results [elbow: −18.9 (95% CI: 029.9, −7.9) Nm, p = 0.001; shoulder: 137.3 (95% CI: −2.1, 276.7) N, p = 0.058]. Performing random effect models demonstrated similar kinetic results [elbow: −1.6 (95% CI: −2.2, −1.0) Nm; shoulder: 17.8 (95% CI: 9.9, 31.9) N]. Performing random effect models demonstrated similar kinematic results [maximum shoulder rotation velocity: −4.2 (95% CI: −10.9, 2.4) °/s; shoulder abduction at footstrike: −0.4 (95% CI: −6.6, 5.8) °; maximum humerus angular velocity: −190.7 (95% CI: −497.0, 115.9) °/s; maximum hand velocity: 1,105.9 (95% CI: 658.2, 1,552.7) °/s].

TABLE 2
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Table 2. Statistical comparison.

Discussion

The main findings of this study were contrary to our hypothesis of no significant differences. Preprofessional DR pitchers demonstrated increased elbow varus torque, maximum shoulder external rotation, maximum humeral rotation velocity, decreased shoulder force, and hand velocity compared with US pitchers. When controlling for age, handed dominance, and hand velocity, DR pitchers had even greater elbow varus torque when compared with their US counterparts, but the differences in shoulder force, maximum shoulder external rotation, and maximum humeral rotation velocity were eliminated. Before controlling for confounding variables, the US pitchers had higher shoulder force, which is expected with higher velocity pitches. The lack of a difference after controlling velocity is likely related to kinematics not being analyzed in this study. Trunk mechanics, sequencing, and shoulder abduction at release, have been found to significantly influence shoulder force, but not impact elbow torque (11, 12). DR pitchers may have appropriate trunk flexion, timing of rotations, and arm path mechanics that allow low shoulder force, while being inefficient in other kinematics that led to increased elbow stress.

Reducing elbow varus torque may be key to limiting UCL injuries in professional pitchers (23). Pitch velocity has been shown to be a primary contributor to elbow varus torque (11, 22). However, pitching mechanics have also been shown to influence elbow varus torque (11, 12), suggesting that there are ideal or efficient mechanics, that can help reduce pitching arm stress without sacrificing pitch velocity. Preprofessional DR pitchers throw fastballs with slower velocity while experiencing increased elbow varus torque compared with their US counterparts. This is contrary to previous research, (13) where DR pitchers threw faster than their US counterparts. However, this previous research included only younger adolescents, with US participants from summer baseball camps and DR participants from local baseball clubs. Among these cohorts, the DR pitchers were likely of higher caliber with more consistent coaching and skill development. This study sampled older professional pitching prospects, where US pitchers have better access to coaching and development, potentially inciting a reversal in throwing velocity trends. Ball velocity is the primary contributor to elbow varus torque, so, controlling hand velocity further increased the elbow varus torque discrepancy between US and DR preprofessional pitchers.

Maximum humeral rotation velocity and maximum shoulder external rotation have been shown to influence elbow torque (11) and ball velocity (24, 25). DR pitchers demonstrated increased humeral rotation velocity and maximum shoulder external rotation despite their decreased ball velocity. When controlling for age and hand dominance, significant differences in maximum shoulder external rotation and maximum humeral rotation velocity were eliminated. This is most likely due to the higher percentage of left-handed pitchers in the US cohort. Left-handed pitchers have decreased humeral torsion and less passive external rotation, limiting the time they must generate humeral rotation velocity (21, 26).

Higher elbow torque with slower pitching velocity suggests that DR pitchers utilize a less efficient pitching pattern. In addition, increased humeral rotation velocity and shoulder external rotation without a subsequent increase in pitching velocity indicates that DR pitchers may have limited ability to transfer energy through the kinetic chain. Preprofessional US pitchers have improved access to strength and conditioning resources and plans. Further, there are nutritional diet differences between countries, which may influence differences in body composition between players (27). This is reflected in the greater weight and BMI among US pitchers in the current study. Greater weight and BMI in an athletic population may indicate more strength. Greater strength may allow US pitchers to limit elbow torque by transferring energy more successfully (19, 20). Within cadaveric studies, the flexor-pronator mass supports and stabilizes the elbow during varus torque moments (28). These findings are supported by a forward dynamic biomechanical simulation study where increased flexor-pronator muscle mass decreased forces distributed to the ulnar collateral ligament (29). While muscle impacts on the ulnar collateral ligament cannot be directly measured and are not reflected in the calculated elbow varus torque, increased muscle mass, at the very least to the forearm musculature, may help mitigate forces on the ulnar collateral ligament, decreasing potential injury risk (30).

Growing up in different geographical regions impacts skill development and game play in baseball. How these differences influence injury risk is not well understood. The findings of this study suggest that DR-born baseball pitchers have higher elbow stress and less efficient mechanics. This increased elbow stress should be considered when developing training programs and pitching plans for professional pitchers. Coaches and player development professionals should focus on developing mechanics that limit elbow torque and focus on protecting the elbow with arm care and strength protocols. In addition, coaching staff should be especially vigilant of pitch counts during the development period as every throw compound elbow stress.

These findings necessitate future research to explore other pitching kinematic differences between DR and US baseball pitchers. Additional research should also evaluate whether increased elbow varus torque among preprofessional DR pitchers predisposes professional DR pitchers to elbow injury. Prospective longitudinal research is needed to elucidate potential pitching mechanical changes that occur between DR and US pitchers throughout their preprofessional careers. Understanding how changes in mechanics or strength training interventions affect pitching efficiency in preprofessional baseball players is also required.

There were limitations in this investigation. Kinetic calculations utilize anthropometrics estimated from cadaveric analyses, which potentially may not be representative of the participant. Unavoidable skin movement between the reflective markers and the anatomic landmarks that they are representing may decrease the precision of these biomechanical analyses. These analyses are cross-sectional and may not fully represent pitching kinematics and kinetics in this sample. While all DR and US pitchers were considered professional baseball prospects, not all participants will play professionally, decreasing the generalizability of this sample. In addition, hand velocity was used as a representative of ball velocity. Ideally, recorded ball velocity would be included in analyses.

Conclusion

Preprofessional Dominican Republic pitchers demonstrated increased elbow varus torque and decreased hand velocity; a representative of pitch velocity when compared with United States pitchers. When controlling for confounders, Dominican Republic pitchers demonstrated even greater elbow varus torque compared with United States pitchers. Increased elbow varus torque and inefficient pitching mechanics among Dominican Republic pitchers should be considered when developing training programs and pitching plans for professional pitchers.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by Wake Forest University School of Medicine Institutional Review Board. Written informed consent from the participants’ legal guardian/next of kin was not required to participate in this study in accordance with the national legislation and the institutional requirements.

Author contributions

All authors contributed to data processing, analysis, and manuscript review. In addition, KN crafted the first manuscript draft, and GB conducted statistical analysis. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Posner M, Cameron KL, Wolf JM, Belmont PJ, Owens BD. Epidemiology of major league baseball injuries. Am J Sports Med. (2011) 39(8):1675–91. doi: 10.1177/0363546511411700

CrossRef Full Text | Google Scholar

2. Garrison JC, Johnston C, Conway JE. Baseball players with ulnar collateral ligament tears demonstrate decreased rotator cuff strength compared to healthy controls. Int J Sports Phys Ther. (2015) 10(4):476–81. PMID: 26346550; PMCID: PMC4527194.26346550

PubMed Abstract | Google Scholar

3. Conte SA, Camp CL, Dines JS. Injury trends in major league baseball over 18 seasons: 1998–2015. Am J Orthop. (2016) 45(3):116–23. PMID: 26991562.26991562

PubMed Abstract | Google Scholar

4. Agresta CE, Krieg K, Freehill MT. Risk factors for baseball-related arm injuries: a systematic review. Orthop J Sport Med. (2019) 7(2):1–13. doi: 10.1177/2325967119825557

CrossRef Full Text | Google Scholar

5. Meister K. Injuries to the shoulder in the throwing athlete. Part one: biomechanics/pathophysiology/classification of injury. Am J Sports Med. (2000) 28(2):265–75. doi: 10.1177/03635465000280022301

PubMed Abstract | CrossRef Full Text | Google Scholar

6. McLeod WD, Andrews JR. Mechanisms of shoulder injuries. Phys Ther. (1986) 66(12):1901–4. doi: 10.1093/ptj/66.12.1901

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Feltner M, Dapena J. Dynamics of the shoulder and elbow joints of the throwing arm during a baseball pitch. Int J Sport Biomech. (2016) 2(4):235–59. doi: 10.1123/ijsb.2.4.235

CrossRef Full Text | Google Scholar

8. Werner SL, Fleisig GS, Dillman CJ, Andrews JR. Biomechanics of the elbow during baseball pitching. J Orthop Sport Phys Ther. (1993) 17(6):274–8. doi: 10.2519/jospt.1993.17.6.274

CrossRef Full Text | Google Scholar

9. Anz AW, Bushnell BD, Griffin LP, Noonan TJ, Torry MR, Hawkins RJ. Correlation of torque and elbow injury in professional baseball pitchers. Am J Sports Med. (2010) 38(7):1368–74. doi: 10.1177/0363546510363402

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Crotin RL, Slowik JS, Brewer G, Cain EL, Fleisig GS. Determinants of biomechanical efficiency in collegiate and professional baseball pitchers. Am J Sports Med. (2022) 50(12):3374–80. doi: 10.1177/03635465221119194

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Nicholson KF, Collins GS, Waterman BR, Bullock GS. Machine learning and statistical prediction of pitching arm kinetics. Am J Sports Med. (2021) 50(1):1–10. doi: 10.1177/03635465211054506

CrossRef Full Text | Google Scholar

12. Nicholson KF, Collins GS, Waterman BR, Bullock GS. Machine learning and statistical prediction of fastball velocity with biomechanical predictors. J Biomech. (2022) 134:110999. doi: 10.1016/j.jbiomech.2022.110999

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Axe MJ, Strube M, Osinski ED, Andrews JR, Snyder-Mackler L. A speed distance-based classification system for injury prevention and research in international and domestic youth baseball players. Int J Sports Phys Ther. (2014) 9(3):346–55. PMID: 24944853; PMCID: PMC4060312.24944853

PubMed Abstract | Google Scholar

14. Bullock GS, Chapman T, Joyce T, Prengle R, Stern T, Butler RJ. Examining differences in movement competency in professional baseball players born in the United States and Dominican Republic. J Sport Rehabil. (2018) 27(5):397–402. doi: 10.1123/jsr.2016-0251

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Klein A. Latinizing the “national pastime”. Int J Hist Sport. (2007) 24(2):296–310. doi: 10.1080/09523360601046029

CrossRef Full Text | Google Scholar

16. Baseball ML. Opening Day rosters feature 241 players born outside the U.S. (2013). Available at: http://mlb.mlb.com/news/article.jsp?ymd=20130401&content_id=43618468&vkey=pr_mlb&c_id=mlb

17. Aguinaldo AL, Buttermore J, Chambers H. Effects of upper trunk rotation on shoulder joint torque among baseball pitchers of various levels. J Appl Biomech. (2007) 23:42–51. doi: 10.1123/jab.23.1.42

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Wu G, Van Der Helm FCT, Veeger HEJ, Makhsous M, Van Roy P, Anglin C, et al. ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion—part II: shoulder, elbow, wrist and hand. J Biomech. (2005) 38(5):981–92. doi: 10.1016/j.jbiomech.2004.05.042

CrossRef Full Text | Google Scholar

19. Fleisig GS, Barrentine SW, Zheng N, Escamilla RF, Andrews JR. Kinematic and kinetic comparison of baseball pitching among various levels of development. J Biomech. (1999) 32(12):1371–5. doi: 10.1016/S0021-9290(99)00127-X

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Okoroha KR, Lizzio VA, Meta F, Ahmad CS, Moutzouros V, Makhni EC. Predictors of elbow torque among youth and adolescent baseball pitchers. Am J Sports Med. (2018) 46(9):2148–53. doi: 10.1177/0363546518770619

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Takeuchi S, Yoshida M, Sugimoto K, Tsuchiya A, Takenaga T, Goto H. The differences of humeral torsion angle and the glenohumeral rotation angles between young right-handed and left-handed pitchers. J Shoulder Elb Surg. (2019) 28(4):678–84. doi: 10.1016/j.jse.2018.09.002

CrossRef Full Text | Google Scholar

22. Nicholson KF, Hulburt TC, Beck EC, Waterman BR, Bullock GS. The relationship between pitch velocity and shoulder distraction force and elbow valgus torque in collegiate and high school pitchers. J Shoulder Elb Surg. (2020) 29(12):2661–7. doi: 10.1016/j.jse.2020.04.046

CrossRef Full Text | Google Scholar

23. Bullock GS, Strahm J, Hulburt TC, Beck EC, Waterman BR, Nicholson KF. Relationship between clinical scapular assessment and scapula resting position, shoulder strength, and baseball pitching kinematics and kinetics. Available at: http://www.sagepub.com/journals-permissions (Accessed December 9, 2021).

24. Stodden DF, Fleisig GS, McLean SP, Andrews JR. Relationship of biomechanical factors to baseball pitching velocity: within pitcher variation. J Appl Biomech. (2005) 21(1):44–56. doi: 10.1123/jab.21.1.44

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Naito K, Takagi T, Kubota H, Maruyama T. Multi-body dynamic coupling mechanism for generating throwing arm velocity during baseball pitching. Hum Mov Sci. (2017) 54:363–76. doi: 10.1016/j.humov.2017.05.013

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Takenaga T, Goto H, Sugimoto K, Tsuchiya A, Fukuyoshi M, Nakagawa H, et al. Left-handed skeletally mature baseball players have smaller humeral retroversion in the throwing arm than right-handed players. J Shoulder Elb Surg. (2017) 26(12):2187–92. doi: 10.1016/j.jse.2017.07.014

CrossRef Full Text | Google Scholar

27. Ayala GX, Monge-Rojas R, King AC, Hunter R, Berge JM. The social environment and childhood obesity: implications for research and practice in the United States and countries in Latin America. Obes Rev. (2021) 22(S3):e13246. doi: 10.1111/obr.13246

CrossRef Full Text | Google Scholar

28. Lin F, Kohli N, Perlmutter S, Lim D, Nuber GW, Makhsous M. Muscle contribution to elbow joint valgus stability. J Shoulder Elb Surg. (2007) 16(6):795–802. doi: 10.1016/j.jse.2007.03.024

CrossRef Full Text | Google Scholar

29. Buffi JH, Werner K, Kepple T, Murray WM. Computing muscle, ligament, and osseous contributions to the elbow varus moment during baseball pitching. Ann Biomed Eng. (2015) 43(2):404. doi: 10.1007/s10439-014-1144-z

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Fleisig GS, Andrews JR, Dillman CJ, Escamilla RF. Kinetics of baseball pitching with implications about injury mechanisms. Am J Sports Med. (1995) 23(2):233–9. doi: 10.1177/036354659502300218

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: throwing, overhead athlete, biomechanics, shoulder, elbow

Citation: Nicholson KF, Mylott JA, Hulburt TC, Hamer TJ and Bullock GS (2023) Kinematic and kinetic comparison between preprofessional pitchers from the Dominican Republic and the United States. Front. Sports Act. Living 5:1152474. doi: 10.3389/fspor.2023.1152474

Received: 27 January 2023; Accepted: 27 March 2023;
Published: 18 April 2023.

Edited by:

Roland van den Tillaar, Nord University, Norway

Reviewed by:

Kenzie Friesen, University of Saskatchewan, Canada
Kevin Giordano, Holy Cross Hospital, United States

© 2023 Nicholson, Mylott, Hulburt, Hamer and Bullock. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Kristen F. Nicholson a2ZuaWNob2xAd2FrZWhlYWx0aC5lZHU=

These authors have contributed equally to this work

Specialty Section: This article was submitted to Biomechanics and Control of Human Movement, a section of the journal Frontiers in Sports and Active Living

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.