This systematic review examined the influence of pitch count and type on elbow and shoulder injuries in adolescent baseball pitchers. Four studies met the inclusion criteria of evaluating the relationship between pitching workload, pitch type, and injury risk in players aged 13-18 years old. Two studies found that pitching over 75 pitches per game increased the risk of shoulder pain and pitching over 600 pitches per season increased the risk of elbow pain. Another study observed an increased injury risk when pitching over 8 months, more than 80 pitches per appearance, or pitching through fatigue. An additional study associated increased age and slider pitching with greater elbow injury risk. The studies suggest that higher pitch counts and certain pitch types may elevate injury risk in adolescent pitchers.
Mal-Alignment as a Risk Factor for Lower Extremity Overuse Injuries: A Case C...iosrjce
Engaging in sports activities has various health benefits, but also carries the risk of injury. Overuse
injuries in young adults is one of them which is challenge to the treating clinician. In the present study, we
studied the association of mal-alignment as a risk factor for overuse injuries of lower extremity in young adults.
In this prospective case-control study, we enrolled all the adult patients engaged in unorganised sports activity
presented with various lower extremity overuses injuries as cases and the without any overuse injury as
controls. After making a clinical impression, all patients were subjected to relevant X-rays to diagnose the malalignment,
if present or not. A total of 471 cases and 857 controls with overuse injuries were included. The
mean age at diagnosis of overuse injuries was 25.5(16-30) yrs in cases and 24.3 (18-30) yrs in controls. The
recreational running was the commonest unorganized activity in both males (38.2%) and females (62.5%).
Correlation of the mal-alignment with overuse injuries found to be statistically significant (p=0.003). In
conclusion overuse injuries in young adults are significantly associated with mal-alignments. Better
understanding of these mal-alignments is better for the management of these injuries.
Mal-Alignment as a Risk Factor for Lower Extremity Overuse Injuries: A Case C...iosrjce
Engaging in sports activities has various health benefits, but also carries the risk of injury. Overuse
injuries in young adults is one of them which is challenge to the treating clinician. In the present study, we
studied the association of mal-alignment as a risk factor for overuse injuries of lower extremity in young adults.
In this prospective case-control study, we enrolled all the adult patients engaged in unorganised sports activity
presented with various lower extremity overuses injuries as cases and the without any overuse injury as
controls. After making a clinical impression, all patients were subjected to relevant X-rays to diagnose the malalignment,
if present or not. A total of 471 cases and 857 controls with overuse injuries were included. The
mean age at diagnosis of overuse injuries was 25.5(16-30) yrs in cases and 24.3 (18-30) yrs in controls. The
recreational running was the commonest unorganized activity in both males (38.2%) and females (62.5%).
Correlation of the mal-alignment with overuse injuries found to be statistically significant (p=0.003). In
conclusion overuse injuries in young adults are significantly associated with mal-alignments. Better
understanding of these mal-alignments is better for the management of these injuries.
This is part of my assignment for UGC-SWAYAM Academic Writing course which was an online mode of learning. I thoroughly enjoyed this fully content backed course and recommend all of you, particularly academicians and research scholars, to join next session.
Some Mechanisms of the Noncontact Anterior Cruciate Ligament (ACL) Injury among Male Sport Activities by
Kasbparast Mehdi in Examines in Physical Medicine & Rehabilitation
Abstract— Cerebral palsy (CP) is the most common physical disability of childhood. Children with CP frequently grow slowly and are more prone to fractures. So this study was aimed to explore relationship of bone mineral density (BMD) with cerebral palsy by case-control study. This study was conducted at Department of Physical Medicine and Rehabilitation of Sawai Man Singh Medical College, Jaipur. Hip bone and spine bone was used to assess BMD. Bone mineral density was measured by DEXA in both groups i.e. study group and control group after ensuring the comparability of both groups. Difference in means of BMD in both the groups was inferred by unpaired student's’ test of significance. It was found in this study that bone mineral density of hip well as spine was significantly lowered in cerebral palsy cases.
Hip Muscle Strength Predicts Non-contact ACL Injury in Male and Female Athlet...Rachel Straub
Background: Prospective studies have reported that abnormal movement patterns at the trunk, hip, and knee are associated with non-contact ACL injuries. Impaired hip strength may underlie these abnormal movement patterns, suggesting that diminished hip strength may increase the risk of non-contact ACL injury.
Purpose: To determine if baseline hip strength predicts future non-contact ACL injury in athletes.
Study Design: Prospective cohort study.
Methods: Prior to the start of the competitive season, isometric hip strength (external rotator and abductor) was measured bilaterally using a hand-held dynamometer in 501 competitive athletes (138 females and 363 males) participating in various sports. During the sport seasons, ACL injury status was recorded, and injured athletes were further classified based on the mechanism of injury (non-contact vs. contact). Postseason, logistic regression was used to determine whether baseline hip strength predicted future non-contact ACL injury. Receiver operating characteristic (ROC) curves were constructed independently for each strength measure to determine the clinical cut-off value to distinguish between a high-risk and low-risk outcome.
Results: A total of 15 non-contact ACL injuries were confirmed (6 female, 9 male), for an overall annual incidence of 3.0% (2.5% for males and 4.3% for females). Baseline hip strength measures (external rotator and abductor) were significantly lower in injured athletes compared to non-injured athletes (p = 0.003 and p < 0.001, respectively). Separate logistic regression models indicated impaired hip strength increased future injury risk [external rotator: OR = 1.23 (95% CI: 1.08, 1.39), p = 0.001; abductor: OR = 1.12 (95% CI: 1.05, 1.20), p = 0.001]. Clinical cutoffs to define high risk were established as external rotator strength ≤ 20.3% body weight (BW) or abductor strength ≤ 35.4% BW.
Conclusion: Measures of preseason isometric hip abductor and external rotator strength independently predicted future non-contact ACL injury status in competitive athletes. Our data suggest that screening procedures to assess ACL injury risk should include an assessment of isometric hip abductor and/or external rotator strength.
Risk of Anterior Cruciate Ligament Rupture With Generalized Joint Laxity Foll...Apollo Hospitals
THE function of the anterior cruciate ligament (ACL) is to
provide stability to the knee and minimize stress across the knee joint. It restrains excessive forward movement of the tibia in relation to the femur. It also limits rotational
movements of the knee. A hard twist or excessive pressure on the ACL can tear or rupture the ligament, resulting in high levels of short-term disability and extensive rehabilitation. The cost of treatment & rehabilitation of an ACL injured person is also phenomenal.
This is part of my assignment for UGC-SWAYAM Academic Writing course which was an online mode of learning. I thoroughly enjoyed this fully content backed course and recommend all of you, particularly academicians and research scholars, to join next session.
Some Mechanisms of the Noncontact Anterior Cruciate Ligament (ACL) Injury among Male Sport Activities by
Kasbparast Mehdi in Examines in Physical Medicine & Rehabilitation
Abstract— Cerebral palsy (CP) is the most common physical disability of childhood. Children with CP frequently grow slowly and are more prone to fractures. So this study was aimed to explore relationship of bone mineral density (BMD) with cerebral palsy by case-control study. This study was conducted at Department of Physical Medicine and Rehabilitation of Sawai Man Singh Medical College, Jaipur. Hip bone and spine bone was used to assess BMD. Bone mineral density was measured by DEXA in both groups i.e. study group and control group after ensuring the comparability of both groups. Difference in means of BMD in both the groups was inferred by unpaired student's’ test of significance. It was found in this study that bone mineral density of hip well as spine was significantly lowered in cerebral palsy cases.
Hip Muscle Strength Predicts Non-contact ACL Injury in Male and Female Athlet...Rachel Straub
Background: Prospective studies have reported that abnormal movement patterns at the trunk, hip, and knee are associated with non-contact ACL injuries. Impaired hip strength may underlie these abnormal movement patterns, suggesting that diminished hip strength may increase the risk of non-contact ACL injury.
Purpose: To determine if baseline hip strength predicts future non-contact ACL injury in athletes.
Study Design: Prospective cohort study.
Methods: Prior to the start of the competitive season, isometric hip strength (external rotator and abductor) was measured bilaterally using a hand-held dynamometer in 501 competitive athletes (138 females and 363 males) participating in various sports. During the sport seasons, ACL injury status was recorded, and injured athletes were further classified based on the mechanism of injury (non-contact vs. contact). Postseason, logistic regression was used to determine whether baseline hip strength predicted future non-contact ACL injury. Receiver operating characteristic (ROC) curves were constructed independently for each strength measure to determine the clinical cut-off value to distinguish between a high-risk and low-risk outcome.
Results: A total of 15 non-contact ACL injuries were confirmed (6 female, 9 male), for an overall annual incidence of 3.0% (2.5% for males and 4.3% for females). Baseline hip strength measures (external rotator and abductor) were significantly lower in injured athletes compared to non-injured athletes (p = 0.003 and p < 0.001, respectively). Separate logistic regression models indicated impaired hip strength increased future injury risk [external rotator: OR = 1.23 (95% CI: 1.08, 1.39), p = 0.001; abductor: OR = 1.12 (95% CI: 1.05, 1.20), p = 0.001]. Clinical cutoffs to define high risk were established as external rotator strength ≤ 20.3% body weight (BW) or abductor strength ≤ 35.4% BW.
Conclusion: Measures of preseason isometric hip abductor and external rotator strength independently predicted future non-contact ACL injury status in competitive athletes. Our data suggest that screening procedures to assess ACL injury risk should include an assessment of isometric hip abductor and/or external rotator strength.
Risk of Anterior Cruciate Ligament Rupture With Generalized Joint Laxity Foll...Apollo Hospitals
THE function of the anterior cruciate ligament (ACL) is to
provide stability to the knee and minimize stress across the knee joint. It restrains excessive forward movement of the tibia in relation to the femur. It also limits rotational
movements of the knee. A hard twist or excessive pressure on the ACL can tear or rupture the ligament, resulting in high levels of short-term disability and extensive rehabilitation. The cost of treatment & rehabilitation of an ACL injured person is also phenomenal.
Value-Exchange Video Advertising - Understanding the Brand Performance Advant...VIDCOIN
Value-Exchange video is quickly becoming known as the highest performance mobile ad format. 84% of mobile users are actually favorable to value-exchange video ads. But it remains one of the most misunderstood ad formats around. This insider's guide seeks to cut through the mystery and help advertisers make informed decisions.
Analytical Study of Clinicopathological Data of Saudi Patients with Osteoarth...Prof. Hesham N. Mustafa
SUMMARY: Knee osteoarthritis (OA) is a common disabling disease. Epidemiological studies have revealed various risk
factors for OA, including sex, aging, obesity, occupational illnesses, and chronic diseases. Here we evaluate the clinical, pathological,
and radiological findings of knee OA in a subset of Saudi patients who were subjected to total knee replacement (TKA). The study
population included 30 Saudi patients with knee OA who were operated by TKA (from June 2014 to December 2015) in the Department
of Orthopedics, Faculty of Medicine, King Abdulaziz University, Saudi Arabia. Patient’s clinical and radiological data were collected
from the hospital files. Pathological examination of the excised superior articular surface of tibia and femoral condyles were done.
Pearson Chi-squared analysis was used to test for differences between the variables in associated risk factors. There were more women
than men. Sixty per cent of patients were older than 60 years [mean age, 59.2 (females) and 61.7 (men) years-old]. All patients exceeded
obesity class 1, with females being more obese than males. Pathological examination of the superior articular surface of tibia and femoral
condyles showed high score lesions, which was more apparent in females than in males. Radiological findings showed that most lesions
were high grade. The findings of this study will help to understand the pathogenesis of OA and improve treatment decision making
relevant to TKA in knee OA in Saudi Arabia and elsewhere.
KEY WORDS: Osteoarthritis; Knee; Arthroplasty.
Presentation by Dr Adnan Saithna, Professor of Orthopedic Surgery, Kansas City University, delivered at American Academy of Orthopedic Surgeons Annual Meeting 2020. This presentation reports that professional athletes are at higher risk of septic arthritis after ACL reconstruction than recreational athletes
Demographics, mechanism of injury, injury severity, and associated injury pro...TÀI LIỆU NGÀNH MAY
Để xem full tài liệu Xin vui long liên hệ page để được hỗ trợ
: https://www.facebook.com/thuvienluanvan01
HOẶC
https://www.facebook.com/garmentspace/
https://www.facebook.com/thuvienluanvan01
https://www.facebook.com/thuvienluanvan01
tai lieu tong hop, thu vien luan van, luan van tong hop, do an chuyen nganh
The effectiveness of exercise interventions to prevent sports injuriesFernando Farias
Strength training reduced sports injuries to less
than one-third. We advocate that multiple exposure interven-
tions should be constructed on the basis of well-proven single
exposures and that further research into single exposures, par-
ticularly strength training, remains crucial. Both acute and
overuse injuries could be significantly reduced, overuse injuries
by almost a half.
Estimation of competitive state anxiety among sprinters, jumpers and throwers...Sports Journal
The purpose of this study was to Estimation of Competitive State Anxiety among Sprinters, Jumpers and
Throwers inter- university female athletes. For achieving the purpose of the study, data was collected on
total 60 female athletes Sprinters: 20, Jumpers: 20 and Throwers: 20 were recruited as subject. The age of
all players range between 18 to 25 years. To check Pre-competitive anxiety of recruited subjects, The
Competitive State Anxiety Inventory 2 (CSAI-2) Martens, Vealey, and Burton (1990) questionnaire was
used. The questionnaire consisting of 3 dimensions: Cognitive Anxiety, Somatic Anxiety and Selfconfidence.
This study shows that Anxiety is required to measure the performance during competition.
The Statistical Package for the Social Sciences (SPSS) version 16.0 was used for all analysis. The
differences in the mean of each group for selected variable were tested for the significance of difference
by One-way Analysis of Variance (ANOVA). For further analysis Post-Hoc Test (LSD Test) was
applied. In all the analyses, the 5% critical level (p<0.05) was considered to indicate statistical
significance. The result shows that statistically significant differences were found with regard to Somatic
state anxiety among Sprinters, Jumpers and Throwers inter- university female athletes.
Estimation of competitive state anxiety among sprinters, jumpers and throwers...
Influence of Pitch Count-Type
1. 1
The Influence of Pitch Count and Type on Elbow and Shoulder Injuries in
Adolescent Baseball Pitchers: A Systematic Review
Miela NR, Jamrog JC, Irwin MT, Berry DC: Saginaw Valley State University,
University Center MI.
Context: There is no one single risk factor causing shoulder or elbow injury. However,
in adolescent baseball, rising pitch counts and specific pitch types influence risk of
injury, but how much is still under investigation. Objective: To systematically review the
current literature to determine if baseball pitch count or pitch type continues to influence
the risk of shoulder or elbow injuries in adolescent baseball players. Data Sources:
Relevant articles were identified through PubMed, MEDLINE, Science Direct,
Cumulative Index to Nursing and Allied Health Literature (CINAHL), and single-citation
matching from January 2000 through November 2013 using the following terms:
“adolescent and baseball,” “adolescent and pitch count or pitch type,” and “shoulder or
elbow and injuries and adolescent” resulting in 10 articles. Study Selection: Studies
were included if they met the following criteria: (1) peer-reviewed cohort, descriptive
epidemiology, case control, cross-sectional, or controlled clinical trial, (2) written in
English, (3) involved adolescents 13-18 years-of-age, (4) available abstract, and (5)
included study outcomes measuring the influence of pitch count and/or pitch type on
shoulder and/or elbow injuries. Data Extraction: Three reviewers independently
assessed and graded studies according to the Strengthening in the Reporting of
Observational Studies in Epidemiology (STROBE) and Physiotherapy Evidence
Database (PEDro) checklists as applicable. Data of interest included: subjects; groups
when specified; methods of observation/clinical trial and descriptive data; odds ratios
(OR); and 95% confidence intervals (CI) with reference to pitch count/type’s influence
on shoulder/elbow injuries. Data Synthesis: Three initial and one subsequent article
found from single citation matching met the inclusion criteria. The PEDro score for one
clinical trial was 5.33±0.94 (maximum=10). Two studies examined postgame complaints
of elbow and/or shoulder pain related to pitch count/type, finding that pitching >600
pitches per season-increased risk of elbow pain (OR 2.61-3.34) while pitching >75
pitches per game increased risk of shoulder pain (OR 3.22, CI: 1.84-5.61). Increased
age demonstrated a significant increased risk of elbow pain in two studies (OR 1.66-
2.91) especially when throwing the slider (OR 3.49, P<0.01). An increased injury risk in
adolescent pitchers (16.7-20.2 yo) was found when pitching >8 months (OR 5.05,
CI:1.39-18.32), >80 pitches per appearance (OR 3.83, CI:1.36-10.77), and regularly
pitching through fatigue (OR 36.18, CI:5.92-221.22). No significance was found to
support that curveballs are more harmful than other pitches such as fastballs at this
time. Conclusions: Pitch counts and type continue to increase risk of shoulder and
elbow injury and pain in adolescent baseball players. An increased pitch count and age-
related use of specialty pitches appear associated with an increased frequency of joint
pain. Clinical Application: Athletic trainers often work with adolescent pitchers and
need remain aware of potential modifiable risk factors causing injury. In order to spread
awareness of these potential risks, athletic trainers should promote increased pitch
tracking for their athletes and educate them, coaches, and parents about the implicit
influences pitches hold on injuries.
2. 2
INTRODUCTION
Baseball is a generally safe sport, but, as in many sports, injuries do occur. For a
pitcher, the majority of these injuries involve overuse of the elbow and shoulder.1-3
These injuries are the result of repeated microtrauma sustained over the course of a
baseball outing.4 Youth athletes overall are more susceptible to overuse injuries of the
shoulder and elbow due to incomplete bone ossification, overloading stresses placed on
the joints from full-speed throwing motions, and general instability of the glenohumeral
joint with fatigue.1,4 In turn, this places pitchers especially at risk of injury.5
Studies try to pinpoint risk factors contributing to why certain pitches may be
more harmful than others.6 These factors often include height, weight, pitch count per
outing, pitch count per season or year, and pitching outside of an organized league.7
The general consensus on which pitches are harmful and at what age are mostly pure
controversy at this point.6 Because of this uncertainty regarding the risks of certain pitch
types and pitch counts, we conducted a systematic review of the current literature in
order to determine further the influence that pitch count and type hold on elbow and
shoulder injuries in adolescent baseball pitchers.
METHODS
Data Sources
We conducted an initial search of articles using PubMed, MEDLINE, Science
Direct, and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) with
the search terms “adolescent and baseball,” “adolescent and pitch count or pitch type,”
and “shoulder or elbow and injuries and adolescent.” Included studies were published in
English between January 2000 and November 2013 and pertained to adolescents
3. 3
between the ages of 13 and 18. Cohort, descriptive epidemiology, case control, cross-
sectional, and controlled clinical trials were the studies of interest. We cross-referenced
the bibliographies of relevant studies to find other applicable studies that would meet
the inclusion criteria.
Study Selection
Studies identified in our search included outcomes measuring the influence of
pitch count and/or pitch type on either shoulder or elbow injuries or both. Study
participants must have fallen in the adolescent age range. Studies only had to have an
available abstract to qualify for review as long as they met the other inclusion criteria.
After all duplicate studies were removed, 10 total articles were identified across the
databases. Of these 10, four articles were further assessed for eligibility. An additional
article was single citation matched and screened for use. Out of the five articles
screened for eligibility, only one was excluded due to a lack of numerical outcome
measures geared specifically towards our topic of interest. The process of study
selection is displayed in Table 1. We collected our data from four total applicable
studies that met our inclusion criteria.
Data Extraction
Three reviewers individually appraised and reviewed the included articles
according to the Strengthening in the Reporting of Observation Studies in Epidemiology
(STROBE) scale and the Physiotherapy Evidence Database (PEDro) scale when
applicable. Of the four studies, three were appraised according to the STROBE
checklist and one was graded according to the PEDro scale. The reviewers came
together to discuss and compare thoughts on their independent ratings of the studies.
4. 4
Extracted data included subject demographics, methods of observation, and odds ratios
(OR) and 95% confidence intervals (CI) in regards to the influence of pitch count and/or
pitch type on the risk of shoulder and/or elbow injuries.
RESULTS
Of the 10 articles retrieved from the preliminary search, four were selected for
inclusion in our review. Two studies evaluated the association between elbow and
shoulder pain and a variety of factors including pitch type and count.7,8 One study
assessed the correlation between frequency of new injuries, pitching practices, and
previous history of injury.5 One additional study assessed the biomechanics of throwing
fastballs, curveballs, and change-ups to discover the possible risks of throwing each
pitch.9 Characteristics of the included studies are summarized in Table 2, and key data
from these studies is presented in Table 3.
Olsen et al.5 surveyed adolescent pitchers aged 14-20 years old concerning
injury history, playing history, and potential risk factors in those participants who
sustained severe pitching-related injury. Injury was defined as an elbow or shoulder
injury in the dominant arm that resulted in surgery. High school and college pitchers
were also surveyed for an age-matched control. The injury group included 95
adolescent male pitchers who underwent an elbow or shoulder surgery between
September 2003 and September 2004. The injured group was further divided into
subgroups of elbow injury and shoulder injury. SPSS 10.0.5 was used to analyze the
statistical differences between the injured groups and the control group. A chi-square
test was conducted to analyze categorical variables and a 2-tailed student t test to
analyze continuous variables.
5. 5
Researchers assessed the number of pitches per appearance and found a
statistically significant effect (p <0.001) on shoulder injury (93.6 ± 15.2 pitches) and
elbow injury (85.2 ± 23.8 pitches). The number of pitches per year yielded a statistical
significance (p <0.001) on elbow and shoulder injuries (2608.4 ± 1587.3, 2458.6 ±
1321.3 pitches), respectively.
Lyman et al.7 conducted a study to determine the correlation between elbow and
shoulder pain and numerous variables. Researchers studied two youth baseball teams
for two consecutive seasons and conducted a follow-up at the conclusion of each
season. The authors collected post-game data via telephone from each of the pitchers
to assess the incidence of pitching-related arm injuries. The ages of pitchers included in
the study ranged from 9-12 years (N=298). The variables of interest included pitch count
per game, pitch count per season, and pitch type. The researchers utilized a
generalized estimating equation (GEE) to factor in significant variables when analyzing
statistical data. This model yielded ORs and 95% CIs for all potential incidents of elbow
and shoulder pain. P-values were set at <0.05.
The study found that subjects were more than twice as likely (OR 2.07, CI 0.68-
6.26) to experience elbow pain when throwing 600 or more pitches in a season
compared to throwing 300-599 pitches (OR 0.54, CI 0.32-0.92). A higher number of
pitches per game showed more of an effect on shoulder rather than elbow pain.
Throwing more than 75 pitches per game greatly increased the risk of shoulder pain
(OR 3.22, CI 1.84-5.61) as opposed to only pitching 1-24 pitches per game. In regards
to pitch type, only one pitch proved to be moderately substantial in producing elbow
6. 6
pain—the sinker. Use of the sinker proved to be nearly twice as likely to produce pain
as opposed to only throwing fastballs.
Lyman et al.8 followed 476 baseball pitchers between the ages of 9 and14 years
old for one complete baseball season to assess the effects of pitch type, count, and
mechanics and how they affect elbow and shoulder pain in youth baseball pitchers. A
pre-season questionnaire was administered via telephone to collect baseball-related
information and demographics. During the entire season, each team kept a pitch count
log of pitches thrown by each pitcher in a game. After each pitching performance,
participants were contacted via telephone by a university-based survey research unit for
a post-game interview. Questions asked assessed fatigue, stiffness, tightness, and
pain during or after pitching. After the season, all 476 participants were once again
contacted via telephone to complete a follow up interview. Questions inquired about
pitch types thrown in previous games during the course of the year.
Pitch types were assessed for correlation to elbow and shoulder pain. The
analysis found that, overall, there was a significant relationship between elbow pain and
the slider pitch in 13-14 year-old pitchers (OR 3.49). In 11-12 year-old pitchers, a
significant relationship was found between shoulder pain and the slider (OR 3.38).
There was an 86% increased risk of elbow pain overall when throwing the slider. A
significant increase was found in shoulder pain in 9-10 year-old pitchers who threw 100
or more pitches per game (OR 2.01). There was also a significant increase in shoulder
pain in 13-14 year-old pitchers who threw 75 to 99 pitches per game (OR 2.17) as well
as 100 or more pitches per game (OR 2.15). No statistically significant evidence was
found in regards to the correlation between elbow pain and pitch count. Researchers
7. 7
found an increase in elbow pain with 601-800 pitches per season(OR 3.34) and a
significant increase in shoulder pain with over 800 pitches per season (OR 3.29).
Dun et al.9 asked twenty-nine pitchers (age 12.5 ± 1.7 years) to throw five
fastballs, five curveballs, and five change-ups in a laboratory setting to examine the
biomechanical differences between the three pitches. The investigators used a three-
dimensional motion analysis system to capture data from sensors on key anatomical
structures associated with pitching mechanics. Parameters of interest included elbow
varus torque, shoulder internal rotation, and elbow proximal force. To statistically
analyze the differences between the three pitches, a repeated-measures analysis of
variance (ANOVA) was conducted. Post hoc paired t tests were performed when an
ANOVA detected a significant difference. Comparisons were made at p <0.01.
The analysis found that, overall, the fastball produced the greatest values for
factors related to elbow varus torque (34.8 ± 15.4 N∙m) and shoulder internal rotation
(35.2 ± 15.6 N∙m). During the arm acceleration phase, the fastball yielded significantly
higher numbers than the curveball and change-up for both elbow proximal force (461.9
± 163.2 N) and shoulder proximal force (465.6 ± 169.9 N). For most parameters, the
curveball produced the next highest values, and the change-up generated the lowest
amounts of force and torque on the elbow and shoulder.
DISCUSSION
It appears that an increased cumulative pitch count of more than 600 pitches
over the course of a season increases the occurrence of elbow pain compared to a
cumulative season count between 300 and 599 pitches.7 Cumulative pitches per game
appear to have more of an effect on shoulder pain as pain increases with 75 or more
8. 8
pitches per game,7 although a cumulative season count of over 800 correlated with an
increased risk of shoulder pain.5 Overall, the data collected from the studies support a
greater influence on elbow pain with increased season pitch count and a greater
influence on shoulder pain with increased game pitch count.5,7,8
The National Athletic Trainers’ Association (NATA) recommends that a decrease
in pitch volume serve as a preventative measure in overuse injuries for the pediatric
thrower.10 As an additional preventative measure, they recommend for athletes,
coaches, parents, and medical personnel to watch for signs of arm pain, fatigue, and
decreased performance as these may indicate the potential for overuse injuries.10 In the
age of competitive sports, it is easy for coaches, parents, and even the athletes
themselves to ignore pain and fatigue. If a decreased performance is seen, coaches
and parents often push the athlete to work harder to improve their performance despite
any pain or fatigue. In fact, a survey conducted by Ahmad et al.11 found that only half of
youth pitchers believed pitch count to be a risk factor for injury. The other groups
surveyed—high school pitchers, collegiate pitchers, coaches, and parents— showed a
significantly increased awareness that pitch count is an important risk factor, specifically
in elbow injuries.
Pitch type is more difficult to discern an association with injury due to the
differences in biomechanics between pitches and the athletes themselves, as well as a
general controversy regarding which pitch causes the most harm.6 Of the pitches
studied, the fastball appears to place the most stress on the joints.9 The sinker was
found to have an increased effect on elbow injuries than the fastball.7 The slider was
especially influential on 13-14 year-old pitchers in regards to elbow pain and shoulder
9. 9
pain in 11-12 year-olds.8 In general, the fastball was found to be the most harmful for
both the elbow and shoulder and the sinker specifically for the elbow.7,9 The NATA
recommends a restriction on the use of breaking pitches until an athlete can
demonstrate frequent pitching of such a pitch without any signs or symptoms of injury.10
When surveyed,11 half of youth pitchers believed pitch type is a risk factor for injury
while high school and collegiate pitchers, coaches, and parents did not. There was also
a low consensus among the different pitching levels that high-velocity pitching was a
significant risk factor. The data supporting that faster velocity pitches like the fastball
and sinker7,9 are more harmful makes this survey response especially note-worthy.
Another NATA recommendation limits 9-14 year-old full-effort throwing to 75
pitches per game, 600 pitches per season, and 2000-3000 pitches per year.10 They also
recommend a limit on 15-18 year-olds to pitch no more than 90 pitches per game in no
more than 2 games per week.5 These recommendations are in line with the data found
by Lyman et al.8 The reality of actually enforcing these recommendations is not evident
at present. We believe that further research is necessary in order for the harm of
increased pitch count and increased use of harmful pitches to be evident to the entire
population involved—coaches, parents, and athletes. While the necessity of further
research investigating the influence of pitch count and pitch type on injuries exists, it is
difficult to do so with an adolescent and youth age group. They are still developmentally
growing, and the degree of pitch influence on injury for a specific age is still unclear
beyond the fact that youth and adolescents are more susceptible to injury than older
individuals due to incomplete ossification and overloading joint stresses.1,4
10. 10
The developmental differences in biomechanics present a large gray area when
it comes to when a pitcher is able to throw a certain pitch. While it is possible to make
recommendations for certain age ranges, there will always be outliers to these ranges
as rates of development can differ greatly amongst children. It is impractical to pinpoint
a certain age or stage of development as work would have to be done with children on
an individual basis to determine where that child stands developmentally and what his
or her joints are able to handle. As a general rule in pitching, we believe it is not
necessarily what one pitches that is harmful compared to the amount of force with which
one pitches on a regular basis. The more effort behind a pitch, the more potential it has
to be harmful. We also agree that individually tracking pitch counts and types is an
important step to determine individual risk factors for elbow and shoulder injury.
Limitations
A great deal of the data collected from the included studies5,7-9 was found to be
statistically insignificant, denoting no increased risk of shoulder or elbow injury. This
gave a limited amount of quantifiable data that did in fact show increased injury risk
associated with pitch counts or types. The quantifiable data that was deemed significant
included a wide range in terms of CIs that made it difficult to determine at what age a
pitcher is most susceptible to certain variables surrounding injury. There was also a lack
of current research to utilize due to most studies analyzing pitch count and pitch type
being conducted earlier than our search parameters allowed us to include.
Clinical Relevance
Athletic trainers often cover baseball and work with pitchers at all levels of play.
Increased awareness of the influences of pitch count and pitch type can be facilitated by
11. 11
athletic trainers to coaches, parents, and athletes at both a small-scale team locker
room chat and a large-scale community event. Athletic trainers can help promote pitch
tracking and even keep their own records of pitch count and type in order to identify
those athletes most at risk of injury. After identification, athletic trainers can then work
with the athlete, coaches, and parents to determine the best course of action for the
athlete.
CONCLUSIONS
Pitch count and pitch type have a definite influence on shoulder and elbow
injuries. The evidence found from our review suggests an overall increase in elbow pain
with increased pitches over the course of a season and an overall increase in shoulder
pain with increased pitches per game. The fastball, slider, and sinker were found to
have an influence on increased joint pain. A lack of congruency in biomechanical
development rates among children limits the ability to draw concrete conclusions about
the degree of influence pitch count and pitch type hold on shoulder and elbow injuries.
Pitching should be monitored for injury risk on an individual basis until further research
can uncover a more precise correlation between pitch count and type and age-specific
shoulder and elbow injury.
REFERENCES
1. Rice SG, Congeni JA. Baseball and softball. Pediatrics. 2012;129(3):e842-56.
2. American Academy of Pediatrics Committee on Sports Medicine and Fitness.
Risk of injury from baseball and softball in children. Pediatrics. 2001; 107:782-
784.
12. 12
3. Rizio L, Uribe JW. Overuse injuries of the upper extremity in baseball. Clin Sports
Med. 2001; 20:453-468.
4. Dalton SE. Overuse injuries in adolescent athletes. Sports Med. 1992;13(1):58-
70.
5. Olsen SJ, Fleisig GS, Dun S, Loftice J, Andrews JR. Risk factors for shoulder
and elbow injuries in adolescent baseball pitchers. Am J Sports Med.
2006;34(6):905-12.
6. Fleisig GS, Kingsley DS, Loftice JW, et al. Kinetic comparison among the
fastball, curveball, change-up, and slider in collegiate baseball pitchers. Am J
Sports Med. 2006;34:423-430.
7. Lyman S, Fleisig GS, Waterbor JW, et al. Longitudinal study of elbow and
shoulder pain in youth baseball pitchers. Med Sci Sports Exerc.
2001;33(11):1803-10.
8. Lyman S, Fleisig GS, Andrews JR, Osinski ED. Effect of pitch type, pitch count,
and pitching mechanics on risk of elbow and shoulder pain in youth baseball
pitchers. Am J Sports Med. 2002;30(4):463-8.
9. Dun S, Loftice J, Fleisig G, Kingsley D, Andrews JR. A biomechanical
comparison of youth baseball pitches: is the curveball potentially harmful?. Am J
Sports Med. 2008;36(4):686-92.
10. McLeod TCV, Decoster LC, Loud KJ, et al. National Athletic Trainers’ Association
position statement: prevention of pediatric overuse injuries. http://www.nata.org/
sites/default/files/Pediatric-Overuse-Injuries.pdf. J Athl Train. 2011;46(2):206-
220.
13. 13
11. Ahmad CS, Grantham WJ, Greiwe RM. Public perceptions of Tommy John
surgery. Phys Sportsmed. 2012;40(2):64-72.
14. 14
Table 1. Study inclusion and exclusion flowchart.
Search of PubMed, MEDLINE, Science Direct, and CINAHL
Search terms:
adolescent and baseball, adolescent and pitch count or pitch
type, and shoulder or elbow and injuries and adolescent
10 articles written in English looking at the influence of pitch count
and/or pitch type in adolescent baseball pitchers
4 articles included after reading abstract; 1 article found through
single citation matching
1 article excluded after reading content of study due to a lack of
numerical outcome measures pertaining to topic of interest
4 articles included in the final analysis:
Olsen et al, 20065
Lyman et al, 20017
Lyman et al, 20028
Dun et al, 20089
15. 15
Table 2. Characteristics of included studies
References Subjects/Groups Methods Outcome
Measures
Results
Dun S9 29 volunteer active
youth baseball
pitchers claiming to
throw the fastball,
curveball, & change-
up.
Order of fastball,
curveball, & change-
up pitch sets
randomized.
No proper biomechanical
instruction given.
Markers placed on bony
landmarks. Went through
own personal warm-up
routine, pitched 3 sets of
pitches with max. effort
from indoor artificial
mound. Motion data &
ball velocity recorded.
ANOVA with post hoc t-
test.
Kinetic, kinematic,
& timing
parameters of the
fastball, curveball,
& change-up.
Fastball produced greatest
elbow varus torque (34.8 ± 15.4
N∙m), shoulder internal rotation
torque (35.2 ± 15.6 N∙m), and
elbow & shoulder proximal
forces (461.9 ± 163.2 N, 465.6
± 169.9 N).
Curveball had next highest
values; change-up had lowest.
Lyman S7 298 youth baseball
pitchers in 9-10 yo &
11-12 yo leagues
from 2 large youth
baseball parks in
metro-Birmingham,
AL. 180 followed from
first season, 218 from
second. 100 followed
in both.
Data from both
season analyzed
together.
Prospective cohort
conducted over two
seasons; each pitcher
contacted via telephone
after every game pitched
to identify arm
complaints & general
performance;
generalized estimating
equation to assess
associations
Complaint
frequency; pain
location; pain
severity; elbow pain
as associated with
pitches, innings,
games, & pitch
types; shoulder
pain as associated
with pitches,
innings, games, &
pitch types
600+ pitches/season increased
elbow pain (OR 2.07; CI 0.68,
6.26) compared to 300-599
pitches/season (OR 0.54; CI
0.32, 0.92).
75+ pitches/game increased
shoulder pain (OR 3.22; CI
1.84, 5.61) compared to 1-24
pitches.
Sinker twice as likely for
increased elbow pain compared
to fastball.
Lyman S8 476 youth baseball
pitchers from 15
youth baseball parks
in Alabama during
1999 spring season.
All analyzed for pain.
240 analyzed for
mechanics, 288 for
change-up, 252 for
curveball, & 65 for
slider. Groups divided
by age.
Mechanics videos
analyzed. Pitch count
logs analyzed.
Telephone interview
involving simplified
questions after every
game pitched.
Descriptive and
inferential analyses,
generalized estimating
equations, and logistic
regression analysis
utilized.
Postgame
complaints of elbow
or shoulder pain.
Independent
variables are pitch
count, type, &
mechanics.
Slider increased elbow pain in
13-14yo (OR 3.49) & shoulder
pain in 11-12yo (OR 3.38).
100+ pitches/game increased
shoulder pain in 9-10yo (OR
2.01).75-99 pitches/game
increased shoulder pain in 13-
14yo (OR 2.17) as well as 100+
pitches/game (OR 2.15).
601-800 pitches/season
increased elbow pain (OR
3.34).800+ pitches/season
increased shoulder pain (OR
3.29).
Olsen II SJ5 95 adolescent male
pitchers who had
surgery by author
were split by joint
injury—66 for elbow,
29 for shoulder. 45
pitchers recruited
through survey of
school ATs met
criteria for control.
Case control survey with
retrospective cohort;
questions about injury
history, playing history, &
possible risk factors. Chi-
square & 2-tailed t tests,
multivariate ANOVA for
pitch type/injury
association.
Risk factors
predisposing
pitcher to significant
shoulder or elbow
injury. Differences
in pitching
practices.
Increased number of
pitches/appearance influenced
shoulder injury 93.6 ± 15.2
pitches, elbow injury 85.2 ± 23.8
pitches.
Increased pitches/year
influenced shoulder injury
2458.6 ± 1321.3 pitches, elbow
injury 2608.4 ± 1587.3 pitches.
16. 16
Table 3. Summary of key data
Lyman et al.7
Cumulative pitches Elbow Pain OR
(95% CI)
P Shoulder Pain OR
(95% CI)
P
<300 Referent --- Referent <0.01
300-599 0.54 (0.32, 0.92) 0.02 0.40 (0.24, 0.65)
≥600 2.07 (0.68, 6.26) 0.20 0.13 (0.01, 1.10)
Age (M=10.8 years)
<10 yr Referent 0.02 Referent 0.13
10 yr 1.66 (0.71, 3.88) 0.55 (0.29, 1.03)
11 yr 2.60 (0.99, 6.81) 0.68 (0.28, 1.65)
≥12 yr 2.91 (1.14, 7.41) 0.41 (0.14, 1.15)
Lyman et al.8
Season pitches to date Elbow OR P Shoulder OR P
1-200 Referent <0.01 Referent <0.01
201-400 1.63 1.65
401-600 2.81 2.34
601-800 3.34 2.90
800+ 2.61 3.29
Game Pitch Counts
9-10 yo 1-24 Referent 0.67 Referent 0.01
25-49 1.20 0.97
50-74 1.40 1.11
75-99 0.91 1.32
100+ 1.33 2.01
11-12yo 1-24 Referent 0.60 Referent 0.94
25-49 0.84 0.98
50-74 0.83 1.10
75-99 1.30 1.14
100+ 0.87 0.76
13-14yo 1-24 Referent 0.06 Referent 0.06
25-49 1.12 1.51
50-74 1.38 1.65
75-99 1.59 2.17
100+ 2.22 2.15
Pitch type and age
Change-up
9-10 yo 1.41 0.36 0.65 0.20
11-12 yo 0.59 0.14 0.67 0.26
13-14 yo 0.69 0.37 1.10 0.83
Curveball
9-10 yo 1.35 0.44 1.62 0.16
11-12 yo 1.06 0.86 1.54 0.22
13-14 yo 0.73 0.49 1.47 0.41
Slider
9-10 yo 1.57 0.39 1.14 0.79
11-12 yo 0.74 0.61 3.38 0.02
13-14 yo 3.49 <0.01 1.80 0.17