South African journal of sports medicine · 2026
Running-related injuries and risks among runners in township running clubs in Soweto, Johannesburg.
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Masilana V, Kunene S
Аннотация
BACKGROUND: The growing popularity of running has led to a rise in running-related injuries (RRIs), with runners in under-resourced communities facing heightened risks.
OBJECTIVES: This study aimed to determine the prevalence and risk factors associated with RRIs among recreational and advanced runners in a township area of South Africa.
METHODS: A cross-sectional study design was employed, involving runners from six running clubs in Soweto township (south of Johannesburg, South Africa). Data were collected using a self-administered questionnaire via the RedCap online platform and analysed using STATA software. Both descriptive and inferential statistics were generated.
RESULTS: A total of 84 runners participated, comprising 51% females (n = 43) and 49% males (n = 41). The overall prevalence of RRIs was high (63%, n = 53), with a slightly higher injury rate among females (51%, n = 27) compared to males (49%, n = 26). Age (runners over 25 years) (odds = 1.11, p = 0.004), increased running load (particularly among medium and long distances) (odds = 1.47, p = 0.053; and odds = 2.65, p = 0.021, respectively), and running terrain (varied running inclines) (odds = 1.42, p-value = 0.032) were identified as significant risk factors.
CONCLUSION: The study revealed a high prevalence of RRIs and identified multiple risk factors. These findings underscore the need for targeted intervention studies focusing on injury prevention and rehabilitation to reduce the burden of RRIs.
OBJECTIVES: This study aimed to determine the prevalence and risk factors associated with RRIs among recreational and advanced runners in a township area of South Africa.
METHODS: A cross-sectional study design was employed, involving runners from six running clubs in Soweto township (south of Johannesburg, South Africa). Data were collected using a self-administered questionnaire via the RedCap online platform and analysed using STATA software. Both descriptive and inferential statistics were generated.
RESULTS: A total of 84 runners participated, comprising 51% females (n = 43) and 49% males (n = 41). The overall prevalence of RRIs was high (63%, n = 53), with a slightly higher injury rate among females (51%, n = 27) compared to males (49%, n = 26). Age (runners over 25 years) (odds = 1.11, p = 0.004), increased running load (particularly among medium and long distances) (odds = 1.47, p = 0.053; and odds = 2.65, p = 0.021, respectively), and running terrain (varied running inclines) (odds = 1.42, p-value = 0.032) were identified as significant risk factors.
CONCLUSION: The study revealed a high prevalence of RRIs and identified multiple risk factors. These findings underscore the need for targeted intervention studies focusing on injury prevention and rehabilitation to reduce the burden of RRIs.