Publications by authors named "Luke Goggins"

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.

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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.

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Objectives: Describe hamstring injury incidence across competition formats, activity at time of injury, and time of season, facilitating the identification of injury risk factors in elite men's senior First-Class County Cricket.

Design: Prospective cohort.

Methods: Hamstring time loss injury incidence (between format, activity, and time of season) calculated for elite men's senior First-Class County Cricket seasons 2010 to 2019.

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Objectives: Investigate the observable player behaviours and features of both concussive (HS-C) and non-concussive (HS-NC) helmet strikes and describe their impact on playing performance.

Methods: Elite male cricketers sustaining helmet strikes between the 2016 and 2018 seasons were identified by the England and Wales Cricket Board. Medical records identified players sustaining a concussion and those in whom concussion was excluded.

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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.

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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 men's senior 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).

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Objectives: To examine the relationship between injuries and team success in professional cricket.

Design: Prospective cohort analysis.

Methods: A prospective cohort of all match time-loss injuries and County Championship point tallies for nine seasons (from 2010 to 2018 inclusive) for all 18 First-Class County Cricket (FCCC) cricket teams in England and Wales.

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This prospective cohort study aimed to describe injury and illness epidemiology within women's international pathway cricket, understanding what influences player availability in this unique context where players are contracted part-time. Approximately 8.4% of players were impacted by injury or illness during the year, with an average 2.

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Objectives: This study primarily aimed to explore injury incidence rates in the three main domestic competition formats in England and Wales (First-Class, One-Day and Twenty20 [T20]). For the first time, the study also describes the epidemiology of elite men's domestic cricket injuries across nine seasons (2010-2018 inclusive).

Design: Prospective cohort analysis.

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