Strength and Conditioning Programs to Increase Bat Swing Velocity for Collegiate Baseball Players

Author:

Haruna Ryosuke12,Doi Tatsuo2,Habu Daiki1,Yasumoto Shinya2,Hongu Nobuko1ORCID

Affiliation:

1. Department of Nutrition, Graduate School of Human Life and Ecology, Osaka Metropolitan University, 3-3-138, Sugimoto, Sumiyoshi-ku, Osaka 558-8585, Japan

2. Dynamic Sports Medicine Institute, 1-10-28, Nishi-Shinsaibahi, Chuo-ku, Osaka 542-0086, Japan

Abstract

Bat swing velocity (BSV) is an imperative element of a successful baseball hitting performance. This study aimed to investigate the anthropometric and physiological variables associated with BSV and explore strength and conditioning programs to increase BSV in collegiate baseball players. Seventy-eight collegiate baseball players (mean age ± SD, 19.4 ± 1.0 years) participated in this study. Maximum BSV (km/h) was measured using Blast Baseball (Blast Motion Inc., Carlsbad, CA, USA). The anthropometric and physiological variables measured were height, body mass, lean body mass, grip strength, back muscle strength, the 30 m sprint, standing long jump, and backward overhead medicine ball throwing. Analysis using Pearson’s product-moment correlation coefficient showed a weak but significant positive correlation between all anthropometric measurements to BSV. Significant relationships existed between physiological variables of hand grip, back muscle strength, and backward overhead medicine ball throwing, but not the standing long jump and 30 m sprint. These data show that BSV is related to anthropometric and physiological variables, particularly upper and lower body strength and full-body explosive power. Based on the results of this study, we designed examples of sound training programs to increase BSV. Strength and conditioning coaches may want to consider using this information when designing a training program for collegiate baseball players.

Publisher

MDPI AG

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine

Reference44 articles.

1. Huang, M.-L., and Li, Y.-Z. (2021). Use of machine learning and deep learning to predict the outcomes of major league baseball matches. Appl. Sci., 11.

2. Contributing factors for increased bat swing velocity;Szymanski;J. Strength Cond. Res.,2009

3. What Makes a Good Hitter?;Breen;J. Health Phys. Educ. Recreat.,1967

4. Effect of grip strength and grip strengthening exercises on instantaneous bat velocity of collegiate baseball players;Hughes;J. Strength Cond. Res.,2004

5. Differences in the kinematics of the baseball swing between hitters of varying skill;Inkster;Med. Sci. Sports Exerc.,2011

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