Injuries in England and Wales elite men's domestic cricket: A nine season review from 2010 to 2018

Injury profiles in sub-elite Women's Cricket: Exploring incidence, prevalence, nature, onset and body region

INTRODUCTION

The rise in participation in sports, like women's cricket, is linked with increased injury risk. Providing high-level longitudinal data is the first step in implementing evidence-based injury prevention strategies.

DESIGN

Prospective cohort study.

OBJECTIVE

This cohort study aims to describe the injury profiles in sub-elite women's cricket in South Africa during the 2022/23 season.

METHODS

Injuries were prospectively recorded using injury surveillance questionnaires, injury surveillance database, and logbooks completed by each team's medical staff. Injury rates were investigated for match and training days, body region, player role, nature, and activity at the time of injury.

RESULTS

Three teams with a total of 44 players (20.86 ± 1.6 years) were included in the study. Injury incidence was 85.23 per 1000 player match days, 15.91 for match time-loss and 69.32 for non-time-loss, with 2.95% of players unavailable for match selection on any day. Fast bowlers had the highest injury incidence. Fielding caused 46.67% of all injuries. Injury incidence was higher in training than in matches. The wrist/hand had the highest injury incidence and caused the most match time-loss.

CONCLUSION

This study provides valuable insights regarding the current injury rates in sub-elite female cricket players.

A similar injury profile observed in franchise men's and women's cricket in England and Wales: injury surveillance analysis from the first three 'The Hundred' competitions

Objectives

To describe the injury profile of a novel format cricket competition ('The Hundred') and compare injury incidence and prevalence between the men's and women's competitions.

Methods

Medical staff prospectively collected injury data from the eight men's and women's teams during the 2021-2023 competitions. Injury definitions and incidence calculations followed the international consensus statement.

Results

In the men's competition, 164 injuries were recorded, compared with 127 in the women's competition. Tournament injury incidence was 36.6 (95% CI 31.4 to 42.7) and 32.5 (95% CI 27.3 to 38.7)/100 players/tournament in the men's and women's competition, respectively. Non-time-loss incidence (men's 26.6 (95% CI 22.2 to 31.8), women's 24.6 (95% CI 20.1 to 30.0)/100 players/tournament) was higher than time-loss incidence (men's 10.0 (95% CI 7.5 to 13.5), women's 7.9 (95% CI 5.6 to 11.3)/100 players/tournament). Injury prevalence was 2.9% and 3.6% in the men's and women's competitions, respectively. Match fielding was the most common activity at injury in both competitions. The thigh and hand were the most common body location time-loss injury in the men's and women's competitions, respectively.

Conclusion

A similar injury profile was observed between the men's and women's competition. Preventative strategies targeting thigh injuries in the men's competition and hand injuries in the women's competition would be beneficial. Compared with published injury rates, 'The Hundred' men's presents a greater risk of injury than Twenty20 (T20), but similar to one-day cricket, with 'The Hundred' women's presenting a similar injury risk to T20 and one-day cricket. Additional years of data are required to confirm these findings.

Lumbar Bone Stress Injuries and Nonunited Defects in Elite Australian Cricket Players

OBJECTIVE

To describe the presentation and management of lumbar bone stress injuries (LBSI), recurrent LBSI, and lumbar nonunited defects in elite Australian male and female cricket players.

DESIGN

Retrospective case series.

SETTING

Professional domestic and international cricket teams over 13 seasons.

PARTICIPANTS

Elite Australian cricket players.

INDEPENDENT VARIABLES

Symptomatic LBSI requiring time off cricket and lumbar nonunited defects, both confirmed by imaging.

MAIN OUTCOME MEASURES

Incidence, presentation, history, healing, and management.

RESULTS

211 LBSI were identified at an average incidence of 5.4 per 100 players per season. LBSI were most common in male pace bowlers younger than 20 years of age (58.1 per 100 players per season), however, were also observed in older players, females, and non-pace bowlers. Recurrent LBSI accounted for 33% (27%-40%) of all LBSI. Median days to return to match availability was 182 (128-251) days for all LBSI, with a shorter time frame observed for new and less severe injuries, and male spin bowlers. Healing was demonstrated in 87% (81%-91%) of all LBSI cases. 29 nonunited defects were identified and predisposed subsequent pain, LBSI, and spondylolisthesis.

CONCLUSIONS

LBSI are experienced by approximately 5.4 in every 100 elite Australian cricket players per season, with a high time cost of approximately 4 to 8 months. Nonunited defects also have a high time cost with associated subsequent lumbar spine issues. The findings of this study reinforce the importance of early detection and conservative management of LBSI, particularly for younger male pace bowlers and players with recurrent LBSI, which may be supported by MRI.

English and Welsh men's domestic cricket injury risk by activity and cricket type: A retrospective cohort study from 2010 to 2019

OBJECTIVES

Explore whether injury profiles and mechanisms differ between red (First-Class multi-day) ball cricket and white (One-Day and Twenty20 limited over) ball cricket in elite men's domestic cricket from 2010 to 2019.

DESIGN

Retrospective cohort analysis.

METHODS

Injury incidence calculated according to the updated international consensus statement on injury surveillance in cricket, along with seasonal days lost and injury severity descriptive statistics.

RESULTS

Across both cricket types, bowling resulted in the most seasonal days lost (mean 1942, 95 % confidence interval: 1799-2096) and highest mean injury severity (30 days, 95 % confidence interval: 28-33), with the lumbar spine the body region with the most seasonal days lost (mean 432 seasonal days; 95 % confidence interval: 355-525) from bowling. Injury incidence was higher in white ball compared to red ball cricket (per unit of time), with bowling (and its various phases) the most frequently occurring mechanism in both cricket types (white ball: 67.0 injuries per 1000 days of play [95 % confidence interval: 59.6-75.3]; red ball: 32.4 injuries per 1000 days of play [95 % confidence interval: 29.1-36.1]). When bowling, the abdomen and thigh were the body regions most injured from white (13.4 injuries per 1000 days of play [95 % confidence interval: 10.3-17.4]), and red ball (6.4 injuries per 1000 days of play [95 % confidence interval: 5.0-8.2]) cricket respectively. Overall, clear differences emerged in the nature and mechanism of injuries between red ball cricket and white ball cricket.

CONCLUSIONS

Bowling presents the highest injury risk (across both cricket types), as well as highlighting the increased risk of injuries from diving during fielding and running between the wickets when batting, in shorter white ball cricket.

Comparison of injury profiles between elite Australian male and female cricket players

OBJECTIVES

This study presents seven seasons of injury surveillance data for both elite Australian male and female cricket players, revealing injury statistics and allowing for comparison between sexes.

DESIGN

Retrospective cohort.

METHODS

Participants were elite Australian male and female cricket players who were contracted to play for a national and/or state/territory team and/or T20 franchise between 2015-16 and 2021-22 (7 seasons). Injury data was recorded in Cricket Australia's Athlete Management System database and combined with match data. The STROBE-SIIS statement was used as the relevant guideline for this study.

RESULTS

Data for 1345 male player seasons and 959 female player seasons revealed sex-related differences in the injury incidence rates and prevalence. Males had higher incidence (average 136 vs 101 injuries per 1000 match days) and prevalence of match time-loss injuries (average 10.4% vs 6.5% players unavailable). However, the overall incidence of all medical attention injuries were similar between sexes (Incidence Rate Ratio (IRR) 0.9, 95%CI 0.8-1.0). The most frequent match time-loss injuries for males were hamstring strains (7.4 new injuries per 100 players per season), side and abdominal strains (5.5), concussion (5.0), lumbar stress fractures (4.3), and wrist and hand fractures (3.9). The most frequent match time-loss injuries for females over the 7 seasons were hamstring strains (3.1), concussion (2.3), quadriceps strains (2.4) and shin/foot/ankle stress fractures (2.0). The IRR of medical attention injuries for males compared to females was higher for lumbosacral stress fractures (IRR 2.3), elbow and forearm injuries (1.5), and concussion (1.4), and lower for lower leg, foot, and ankle stress fractures (0.6), shoulder and upper arm injuries (0.7), and quadriceps strains (0.6).

CONCLUSIONS

Robust long-term injury surveillance enabled the injury profiles of elite Australian male and female cricket players to be understood and compared. Males had a higher incidence and prevalence of match time-loss injuries, likely reflecting a higher match exposure.

Injury incidence within male elite New Zealand cricket from the early T20 era: 2009-2015

Objectives

This study aimed to describe the injury epidemiology of domestic and international level male New Zealand cricketers from seasons 2009–2010 to 2014–2015 across all match formats given the increasing popularity of T20 cricket.

Methods

Match exposure and injury surveillance data collected prospectively by New Zealand Cricket was analysed using international consensus recommendations for injury surveillance and reporting in cricket. Relationships between playing level, role and injury were statistically analysed.

Results

A total of 268 elite male New Zealand cricketers from seasons 2009–2010 to 2014–2015 were analysed from the New Zealand Cricket injury surveillance system. Total new match injury incidence rates were 37.0 and 58.0 injuries per 10 000 player hours in domestic and international cricket, respectively. Total new and recurrent match injury incidence in international cricket was approximately 1.7 times higher than domestic cricket (277.6 vs 162.8 injuries per 1000 player days). Injury prevalence rates were 7.6% and 10.0% in domestic and international cricket. The hamstring (8.2%) in domestic cricket and the groin (13.5%) in international cricket were the most injured body sites. Most match days lost in domestic cricket were to the lumbar spine (417 days), and groin in international cricket (152 days). There were statistically significant differences in injury between domestic and international level cricketers (χ²=4.39, p=0.036), and playing role (χ²=42.29, p<0.0001).

Conclusions

Total injury incidence rates in elite New Zealand cricket increased in 2009–2015 compared with previous data. International-level players and pace bowlers were the most injured individuals.

Detecting Injury Risk Factors with Algorithmic Models in Elite Women's Pathway Cricket

This exploratory retrospective cohort analysis aimed to explore how algorithmic models may be able to identify important risk factors that may otherwise not have been apparent. Their association with injury was then assessed with more conventional data models. Participants were players registered on the England and Wales Cricket Board women's international development pathway (n=17) from April 2018 to August 2019 aged between 14-23 years (mean 18.2±1.9) at the start of the study period. Two supervised learning techniques (a decision tree and random forest with traditional and conditional algorithms) and generalised linear mixed effect models explored associations between risk factors and injury. The supervised learning models did not predict injury (decision tree and random forest area under the curve [AUC] of 0.66 and 0.72 for conditional algorithms) but did identify important risk factors. The best-fitting generalised linear mixed effect model for predicting injury (Akaike Information Criteria [AIC]=843.94, conditional r-squared=0.58) contained smoothed differential 7-day load (P<0.001), average broad jump scores (P<0.001) and 20 m speed (P<0.001). Algorithmic models identified novel injury risk factors in this population, which can guide practice and future confirmatory studies can now investigate.

The impact of COVID-19 related disruption on injury rates in elite men's domestic cricket

This study aimed to investigate the impact of COVID-19 enforced prolonged training disruption and shortened competitive season, on in-season injury and illness rates. Injury incidence and percent proportion was calculated for the 2020 elite senior men's domestic cricket season and compared to a historical average from five previous regular seasons (2015 to 2019 inclusive). The injury profile for the shortened 2020 season was generally equivalent to what would be expected in a regular season, except for a significant increase in medical illness as a proportion of time loss (17% compared to historic average of 6%) and in-season days lost (9% compared to historic average of 3%) due to COVID-19 related instances (most notably precautionary isolation due to contact with a confirmed or suspected COVID-19 case). There was a significant increase in the proportion of in-season days lost to thigh injuries (24% compared to 9%) and a significant decrease in the proportion of days lost to hand (4% compared to 12%) and lumbar spine (7% compared to 21%) injuries. These findings enhance understanding of the impact prolonged period of training disruption and shortened season can have on cricket injuries and the challenges faced by practitioners under such circumstances.

Validity and reliability of innovative field measurements of tibial accelerations and spinal kinematics during cricket fast bowling

The use of inertial sensors in fast bowling analysis may offer a cheaper and portable alternative to current methodologies. However, no previous studies have assessed the validity and reliability of such methods. Therefore, this study aimed to assess the validity and reliability of collecting tibial accelerations and spinal kinematics using inertial sensors during in vivo fast bowling. Thirty-five elite male fast bowlers volunteered for this study. An accelerometer attached to the skin over the tibia was used to determine impacts and inertial sensors over the S1, L1 and T1 spinous processes used to derive the relative kinematics. These measurements were compared to optoelectronic and force plate data for validity analysis. Most acceleration and kinematics variables measured report significant correlations > 0.8 with the corresponding gold standard measurement, with intraclass correlation coefficients greater than 0.7. Low standard error of measurement and consequently small minimum detectable change (MDC) values were also observed. This study demonstrates that inertial sensors are as valid and reliable as current methods of fast bowling analysis and may provide some advantages over traditional methods. The novel metrics and methods described in this study may aid coaches and practitioners in the design and monitoring of fast bowling technique.

Graphical abstract illustrating the synopsis of the findings from this paper.