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. 2024 Jul 31;10(3):e001844.
doi: 10.1136/bmjsem-2023-001844. eCollection 2024.

A prospective study of injuries and illnesses among 910 amateur golfers during one season

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A prospective study of injuries and illnesses among 910 amateur golfers during one season

Patrick Gordon Robinson et al. BMJ Open Sport Exerc Med. .

Abstract

Objectives: Our aims were (a) to describe the prevalence and incidence of self-reported injuries and illnesses of amateur golfers over a 5-month period and (b) to investigate potential risk factors for injury.

Methods: We recruited 910 amateur golfers (733 males [81%] and 177 females [19%]) from golf clubs in the USA and Switzerland. The median age was 60 (IQR: 47-67) and the median golfing handicap was 12 (IQR: 6-18). Participants' health was monitored weekly for 5 months using the Oslo Sports Trauma Research Centre Questionnaire on Health Problems. Players also completed a baseline questionnaire on personal and golf-specific characteristics and their medical history.

Results: We distributed 19 406 questionnaires and received 11 180 responses (57.6%). The prevalence of injuries was 11.3% (95% CI: 9.8 to 12.8) and of illnesses was 2% (95% CI 1.7 to 2.2). The incidence of injuries and illnesses was 3.79 (95% CI 3.54 to 4.06) and 0.94 (95% CI 0.81 to 1.07) per golfer per year, respectively. The injury regions with the highest burden of injury (time-loss days per player per year) were lumbosacral spine (5.93), shoulder (3.47) and knee (2.08). Injury risk was higher with increased age, osteoarthritis and previous injury.

Conclusion: The prevalence and incidence of injury and illness in amateur golf were low compared with many other sports. To further reduce the burden of injury, future research attention should be directed towards the lumbosacral spine, knee and shoulder.

Keywords: Epidemiology; Golf; Illness; Injuries; Risk factor.

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Conflict of interest statement

Dr AM receives remuneration from clinical and research services to professional golf organisations. Dr MLM is a deputy editor of BJSM and Dr BC is an associate editor for BJSM.

Figures

Figure 1
Figure 1. Risk matrix depicting the relationship between incidence (number of injuries per athlete per year) and severity (average cumulative severity score) of the six anatomical locations with the highest overall burden. Darker shades of background indicate a higher injury burden error bars represent 95% CIs.

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