Research article - (2008)07, 139 - 143 |
Volume of Physical Activity and Injury Occurrence in Young Basketball Players |
Jenny Gianoudis, Kate E. Webster, Jill Cook |
Key words: Adolescent, sport injury, overuse, workload |
Key Points |
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Physical activity data |
The mean (SD) hours of physical activity undertaken by participants was 10.1 (3.3) per week. Basketball was the single activity with the highest weekly participation volume (mean 7.7 hours per week). The mean (SD) hours of weekly participation in all other organised sports (including cricket, Australian Rules football, kickboxing, karate, soccer, netball, softball, tennis and squash) was 0.5 (1.0) hours combined. Other common activities included weight training, physical education class and running ( Basketball activity included training (58.5 %), competition (16 %), refereeing (11.6 %), shooting practice (10.1 %) and recreational basketball (3.9 %). |
Injury data |
Twenty-six athletes (56.5%) sustained 35 injuries. The incidence rate of injuries per athlete over the season was 0.76. Twenty-one athletes suffered a single injury, five athletes suffered two injuries and two athletes sustained three injuries over the season. The season injuries comprised of 62.9% acute and 37.1% overuse injuries. Of the acute injuries, 59.1 % were contact injuries and 40.9% non-contact. The majority of injuries involved the lower limb (n = 22, 62.9%). Ten were injuries to the hip and thigh, eight involved the knee/shin/calf and four involved the ankle or foot. Injuries to the upper limb accounted for 20% of injuries (n = 7). Of the upper limb injuries, the majority involved the hand or wrist (n = 4), two were to the shoulder or upper arm and one involved the elbow/forearm. The remaining injuries involved the trunk (n = 4, 11.4%) and the head and neck (n = 2, 5.7%). The nature of injury most commonly reported by the athletes was pain (n = 9, 25.7 %), followed by overuse injury to the muscle or tendon (n = 7, 20%) and muscle strain (n = 7, 20 %). Five of the injuries were characterized as a bruise/contusion (14.3%), four as a ligament sprain (11.4 %), and three as inflammation or swelling (8.6 %). The majority of injuries suffered during the season were non-limiting injuries (n = 26, 74.3%). Limiting injuries comprised 25.7% of injuries (n = 9). Participation modification ranged from one day to just under a month, and no athletes sustained a season-ending injury. According to the Sports Medicine Australia severity assessment tool, the large majority of injuries sustained during the season were minor injuries (66.7%). |
Injured versus uninjured athletes |
Athletes were separated into those injured and not injured during the season, and their demographic data were compared. There were no significant differences in age (z = -.598, p = 0.55), sex (χ2 (1, N = 46) = 0.51, p > 0.05), height (z = -. 611, p = 0.54), weight (t (44) = -.651, p = 0.52), or years playing basketball (t (44) = -.312, p = 0.76) between injured and uninjured groups. No significant differences were found in the total amount of physical activity undertaken weekly by injured and uninjured athletes (t (41) = 0. 434, p = 0.67, Uninjured athletes, athletes suffering only acute injuries, and athletes suffering only overuse injuries were compared with respect to weekly participation hours. Athletes who suffered only overuse injuries participated in a greater amount of refereeing than uninjured athletes (z = -2.802, p = 0.01, |
Limitations of the study |
The accuracy of documented physical activity duration was maximised with prospective data collection and a maximum of one week recall, though self report has inherent error. Self reporting is however an extremely cost efficient, and practical method of collecting large amounts of data (Sallis et al., As this study focused on participation duration and type, intensity was not measured directly. However the categorisation of basketball participation into training, competition, and additional basketball activities did measure the intensity of participation somewhat. As intensity may plausibly impact on injury risk, significant relationships may not have been detected due to that missing parameter of participation. Only a small number of past studies have measured the intensity of participation in addition to duration, and compared this data to injury occurrence (Anderson et al., |
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This observational cohort study compared the weekly volume (hours) and type of physical activity in injured and uninjured young basketball players. Ethics approval was obtained from the University Human Ethics Committee. Forty-six participants (28 boys and 18 girls) were recruited from a local school with a sporting development program. Participants were included if they were a current member of a school basketball squad and gave informed parental/guardian consent. Players who had minor injuries at the time of baseline data collection were included in the study if they were still training fully. Baseline anthropometric data (age, sex, height and weight) and demographic information (school year level, main competition basketball position, and the number of years playing basketball) were collected on a standardized form. Previous injury history and the presence of current injuries were also documented. Physical activity was defined as any sport or fitness related activity including training, competition or recreational participation. Walking was not included due to the difficulties associated with monitoring and measuring this activity. Physical activity data was recorded daily using a participation log that recorded the (a) physical activity/sport undertaken; (b) type of activity (training, competition, recreational participation); (c) standard of the participation (school, representative, social); and (d) duration in hours and minutes. Each day of the week was divided into ‘morning’, ‘afternoon’, ‘evening’ and ‘other’ to work as context cues (Sallis et al., An injury was defined as an incident related to physical activity, that resulted in either time lost from athletic participation, medical diagnosis and treatment (Noyes et al., The mechanism of injury was based on the athlete’s report of how the injury occurred and researcher clinical reasoning. Injuries were classed as overuse if they were due to overload/ repeated load and/or a specific injury incident was not reported. Acute injuries consisted of contact injuries (where athletes were struck by/collided with another player, struck by the ball, or collided with a fixed object), and non-contact injuries (the result of a fall/stumble, landing from a jump, overextension, or twisting to pass/accelerate). Injury severity was measured on two separate scales. The first scale categorised injuries into those causing (limiting injury) and not causing a modification of volume of the physical activity undertaken (non-limiting injury). The second scale classified an injury into three categories; one to seven days of modified activity was classed as ‘mild’, eight to twenty-one days as ‘moderate’ and injuries causing greater than 21 days of modified activity were classed as ‘severe’. Demographic, physical activity participation and injury data were entered into SPSS (version 11.5) for analysis. Participation data was divided into activity categories including basketball, weight training, physical education class, running, and all other physical activities/ sports. Basketball participation was categorised as training, competition, refereeing, shooting practice and recreational participation. Injury diagnosis, if available, was entered descriptively. All continuous data (anthropometric/demographic and participation) were checked for normality. Skewed data were analysed with a non-parametric test. Independent t-tests or the Mann-Whitney U test were used for the analysis of two independent groups. Three independent group means (participation hours of athletes sustaining acute, overuse and no injuries) were analysed with a one-way ANOVA test or Kruskal-Wallis test. The chi-square test or Fisher exact test was used to analyse categorical data. Significance was set at p < 0.05 for all statistical tests. |
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Fifty-seven athletes were recruited for the study. Eleven of these athletes were excluded as less than three weeks of data were collected over the 15 week period of data collection, due to either absence from training (n = 10) or dropping out of the basketball program (n = 1). If an athlete sustained a limiting injury, their data was only included for analysis if at least three weeks of participation data were collected prior to the injury. Forty-six participants (28 boys and 18 girls, mean age 16.0 years, range 14.7 to 18.1 years) completed the study. No differences in age, years playing basketball or injury rate or type were found between male and female athletes, therefore all athletes were considered as one data group for analysis. Seven athletes were injured at baseline, however none of these injuries were causing modified participation in physical activity. No significant differences were found in the weekly participation hours undertaken during the season by players injured and not injured at baseline (t (39) = 0.896, p = 0.38). |
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This pilot study examined the association between volume and type of physical activity, and injury occurrence in a group of young basketball players. It was found that athletes who sustained an injury over the data collection period did not participate in a significantly different volume of total weekly physical activity when compared to athletes that remained uninjured. Injured athletes however, participated in significantly more basketball refereeing each week than uninjured athletes. There was also a trend for weekly hours of shooting practice and recreational basketball participation to be higher in injured athletes. This study indicates that additional repetitive and running-type activities may increase the young basketball player’s risk of injury. These findings support previous studies which link increased risk of injury to greater running duration (Burns et al., Only overuse injuries were significantly related to amount of weekly refereeing. Past studies which have demonstrated a greater incidence of overall injury with increased participation, have attributed this purely to the increased time available for an injury to occur (Egermann et al., Acute injury was significantly associated with volume of shooting practice. As the majority of acute injuries were contact injuries (59.1%), it does not appear that the repetitious shooting action itself was the main cause of injury. Rather, shooting practice provided increased exposure time for acute injuries to occur (e.g. finger hit by the ball or a rolled ankle as running forward for the rebound). |
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This study showed that greater participation in running-type physical activity (e.g. refereeing) as an addition to training and competition, may predispose the young basketball player to increased injury risk; and in particular overuse injury risk. Future studies should investigate the precise volumes of physical activity predisposing to injury, so that solid participation guidelines can be implemented with the aim of decreasing current injury rates in the young athletic population. |
ACKNOWLEDGEMENTS |
To Kevin Goorjian and the basketball students at Box Hill Secondary College, thank you for your acceptance of the research project, and dedication to data collection. |
AUTHOR BIOGRAPHY |
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REFERENCES |
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