Biomechanics associated with tibial stress fracture in runners: A systematic review and meta-analysis

生物力学 荟萃分析 样本量测定 医学 物理医学与康复 物理疗法 奇纳 系统回顾 地面反作用力 梅德林 内科学 数学 心理干预 统计 解剖 物理 精神科 经典力学 法学 运动学 政治学
作者
Clare E. Milner,Eric Foch,Joseph M. Gonzales,Drew Petersen
出处
期刊:Journal of Sport and Health Science [Elsevier BV]
卷期号:12 (3): 333-342 被引量:32
标识
DOI:10.1016/j.jshs.2022.12.002
摘要

BACKGROUND: Tibial stress fracture (TSF) is an overuse running injury with a long recovery period. While many running studies refer to biomechanical risk factors for TSF, only a few have compared biomechanics in runners with TSF to controls. The aim of this systematic review and meta-analysis was to evaluate biomechanics in runners with TSF compared to controls. METHODS: Electronic databases PubMed, Web of Science, SPORTDiscus, Scopus, Cochrane, and CINAHL were searched. Risk of bias was assessed and meta-analysis conducted for variables reported in 3 or more studies. RESULTS: The search retrieved 359 unique records, but only the 14 that compared runners with TSF to controls were included in the review. Most studies were retrospective, 2 were prospective, and most had a small sample size (5-30 per group). Many variables were not significantly different between groups. Meta-analysis of peak impact, active, and braking ground reaction forces found no significant differences between groups. Individual studies found larger tibial peak anterior tensile stress, peak posterior compressive stress, peak axial acceleration, peak rearfoot eversion, and hip adduction in the TSF group. CONCLUSION: Meta-analysis indicated that discrete ground reaction force variables were not statistically significantly different in runners with TSF compared to controls. In individual included studies, many biomechanical variables were not statistically significantly different between groups. However, many were reported by only a single study, and sample sizes were small. We encourage additional studies with larger sample sizes of runners with TSF and controls and adequate statistical power to confirm or refute these findings.
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