Stanford University, Stanford, California, USA.
Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA.
Br J Sports Med. 2019 Feb;53(4):237-242. doi: 10.1136/bjsports-2018-099861. Epub 2018 Dec 22.
Bone stress injuries (BSI) are common in runners of both sexes. The purpose of this study was to determine if a modified Female Athlete Triad Cumulative Risk Assessment tool would predict BSI in male distance runners.
156 male runners at two collegiate programmes were studied using mixed retrospective and prospective design for a total of 7 years. Point values were assigned using risk assessment categories including low energy availability, low body mass index (BMI), low bone mineral density (BMD) and prior BSI. The outcome was subsequent development of BSI. Statistical models used a mixed effects Poisson regression model with p<0.05 as threshold for significance. Two regression analyses were performed: (1) baseline risk factors as the independent variable; and (2) annual change in risk factors (longitudinal data) as the independent variable.
42/156 runners (27%) sustained 61 BSIs over an average 1.9 years of follow-up. In the baseline risk factor model, each 1 point increase in prior BSI score was associated with a 57% increased risk for prospective BSI (p=0.0042) and each 1 point increase in cumulative risk score was associated with a 37% increase in prospective BSI risk (p=0.0079). In the longitudinal model, each 1 point increase in cumulative risk score was associated with a 27% increase in prospective BSI risk (p=0.05). BMI (rate ratio (RR)=1.91, p=0.11) and BMD (RR=1.58, p=0.19) risk scores were not associated with BSI.
A modified cumulative risk assessment tool may help identify male runners at elevated risk for BSI. Identifying risk factors may guide treatment and prevention strategies.
骨应力损伤(BSI)在男女跑步者中都很常见。本研究旨在确定改良女性运动员三联征累积风险评估工具是否可预测男性长跑运动员的 BSI。
采用混合回顾性和前瞻性设计,对两个大学项目中的 156 名男性跑步者进行了研究,共 7 年。使用风险评估类别为能量不足、低体重指数(BMI)、低骨密度(BMD)和既往 BSI 赋值分数。结果是随后发生 BSI。使用混合效应泊松回归模型进行统计分析,p<0.05 为显著阈值。进行了两项回归分析:(1)基线风险因素作为自变量;(2)风险因素的年变化(纵向数据)作为自变量。
42/156 名跑步者(27%)在平均 1.9 年的随访中发生了 61 次 BSI。在基线风险因素模型中,既往 BSI 评分每增加 1 分,前瞻性 BSI 的风险增加 57%(p=0.0042),累积风险评分每增加 1 分,前瞻性 BSI 风险增加 37%(p=0.0079)。在纵向模型中,累积风险评分每增加 1 分,前瞻性 BSI 的风险增加 27%(p=0.05)。BMI(相对风险(RR)=1.91,p=0.11)和 BMD(RR=1.58,p=0.19)风险评分与 BSI 无关。
改良的累积风险评估工具可能有助于识别发生 BSI 风险较高的男性跑步者。确定风险因素可能有助于指导治疗和预防策略。