Exercise-Induced Respiratory Complications

Hoffman, Mark D.; Hoffman, Laura

doi:10.1249/00135124-199905000-00008

Cited by 3 publications

(5 citation statements)

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“…Finally, we did not report other muscle size metrics such as cross-sectional area (CSA) or muscle volume (MV). It is well known CSA and MV are valuable predictors of muscular strength and power output (i. e., they represent the maximal number of acto-myosin cross-bridges) 16 60 and account for the irregularities in thickness across skeletal muscle 61 . However, in large muscles, a single image from portable US only measures MT, not anatomical CSA or MV 58 .…”

Section: Discussionmentioning

confidence: 99%

“…Muscle architecture and body fat are also important physiological indicators for success in an extensive range of sports, including basketball. Muscle architecture largely determines muscle strength and power production, which are both necessary components in optimal athletic performance 16 17 18 . Specifically, muscle strength and power generated by muscles in the lower extremities (e. g., the gastrocnemius medialis [GM] and rectus femoris [RF]) are essential in elite basketball performance, regardless of age or gender 19 .…”

Section: Introductionmentioning

confidence: 99%

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Ultrasound Measurements and Physical Fitness of Elite Youth Basketball Players

et al. 2022

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The countermovement jump, the V-cut test, the muscle thickness and the adjacent subcutaneous fat thickness of the gastrocnemius medialis and rectus femoris are important physiological indicators for success in basketball. The aims of this study were to evaluate between-age-category and between-gender differences in these indicators and examine the relationships between physical tests and ultrasound measurements. The measurements were recorded in a sample of 131 elite basketball players (66 males) who played in three age-categories (U14, U16, or U18). We performed two-way analysis of covariance tests and age-adjusted partial correlation analyses. U16 and U18 males showed better performance in the countermovement jump and V-cut tests and lower adjacent subcutaneous fat thickness of the gastrocnemius medialis and rectus femoris compared to the U14 males (p≤.001) and to age-category equivalent female players (p≤.001). Comparisons between the age categories in females did not show significant differences in any of the study variables. Adjacent subcutaneous fat thickness of the gastrocnemius medialis explained 22.3% of the variation for the countermovement jump result and 12.9% of the variation for the V-cut result in males (p<.01). This study is the first to show the association and predictive role of subcutaneous fat thickness measured by ultrasound in physical performance of male and female elite youth basketball players.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ultrasound Measurements and Physical Fitness of Elite Youth Basketball Players

et al. 2022

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“…23 Test-retest reliabilities for all assessments have been previously reported to be R > 0.90 for body composition, 24 GS, 25 vertical jump, 26 and 1RMSQ. 27,28 Baseball statistics were obtained from the team's NCAA official yearly statistics report for each individual player during the 5 yr of follow-up.…”

Section: Data Collectionmentioning

confidence: 99%

“…During each testing session, participants performed a 1RMSQ strength test to measure lower-body strength as previously described. 27 Parallel squat was measured using an Olympic size bar and estimated 1-RM strength via a 3-RM test. 29 This test was the last in the sequence of the performed tests after the countermovement vertical jump.…”

Section: Vertical Jumpmentioning

confidence: 99%

Baseball performance via the lens of anthropometric testing, fitness metrics, and statistics: a longitudinal cross-sectional study

Papadakis

Padgett

Stamatis

et al. 2021

Current Orthopaedic Practice

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Background:Anthropometric testing (AT) and fitness metrics (FM) are contributing factors for success in sports. Limited evidence exists regarding longitudinal baseball AT or FM roles on baseball performance statistics (PS). AT, FM, and PS associations were examined for 5 yr to create a performance model. Methods:Eighty collegiate Division I players participated in this study. Height, mass, and body fat percentage (BF%) were selected as AT variables of interest. Grip strength (GS), one repetition maximum squat (1RMSQ), and vertical-jump height were selected for FM. Batting average percentage (AVG), slugging percentage (SLG), on-base percentage (OBP) baseball statistics were selected as offensive PS. Earned run average (ERA), batting average against percentage (B/ AVG), and strike-out per innings pitched for 9 innings (SO/IP)*9 were selected for defensive PS. Results:Offensive (r = −0.15, P < 0.005; r s = −0.17, P < 0.001) and defensive (r = −0.253, P < 0.001; r s = −0.314, P < 0.001) statistics correlated with BF%. Offensive (r = 0.26, P < 0.001; r s = 0.43, P < 0.001) and defensive (r = 0.39, P < 0.001) statistics correlated with GS. Offensive (r = 0.26, P < 0.001; r s = 0.43, P < 0.001) and defensive (r = 0.27, P < 0.001) statistics correlated with 1RMSQ. Offensive statistics AVG (R 2 = 0.48) and SLG (R 2 = 0.46) were explained by 1RMSQ. For defensive statistics, 1RMSQ was the best fit for (SO/IP)*9 (R 2 = 0.43) and B/AVG (R 2 = 0.52), and GS was the best fit for ERA (R 2 = 0.39). Squat and time interaction for B/AVG was significant (P = 0.04). Conclusions:Baseball PS are associated with 1RMSQ and GS. Time moderates the effect of squat training on B/AVG. Pitchers need to include squats to lower their B/AVG. Coaches may focus on improving such FM variables and consider the time effect on selected FM that may affect PS.

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“…They concluded that spring training measurements of vertical jump mean power and proagility time may predict the defensive run value of a player over the course of a professional baseball season. Proagility time is a standard test of running speed and touch accuracy 11 . Burris et al 12 looked at sensory-motor abilities of baseball players to see if they were predictive of plate discipline metrics.…”

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confidence: 99%