Cejudo Antonio, Ginés-Díaz Angélica, Rodríguez-Ferrán Olga, Santonja-Medina Fernando, Sainz de Baranda Pilar
Department of Physical Activity and Sport, Faculty of Sport Sciences, Regional Campus of International Excellence "Campus Mare Nostrum", University of Murcia, 30720 Murcia, Spain.
Sports and Musculoskeletal System Research Group (RAQUIS), Campus de San Javier, University of Murcia, 30720 Murcia, Spain.
Children (Basel). 2020 Oct 9;7(10):172. doi: 10.3390/children7100172.
Low back pain (LBP) is the most common overuse musculoskeletal injury suffered by child equestrian athletes (CEA). Despite this, little is known about the risk factors related to LBP in these athletes, and very limited research has been conducted on this topic. This study was designed to investigate predictive risk factors for LBP in CEA. The purposes of this research were to determine whether anthropometric, range of motion (ROM), core endurance and sagittal spinal morphotype measures are risk factors for LBP and to establish a diagnostic cutoff value for those factors associated with LBP. Nineteen CEA between the ages of 12 and 17 years were voluntarily recruited. Potential risk factors evaluated included corporal composition, lower limb ROM, core endurance and sagittal spinal measures. Associations and predictions were calculated between these risk factors and the LBP during the last 12 months. Almost half of the CEA have suffered at least one episode of LBP. Two risk factors and cutoff values were identified as predictors of LBP in CEA: having a high body fat higher than 23% ( = 0.01) and trunk lateral flexor endurance lower to 65 s ( = 0.021), body fat being the strongest predictor.
下背部疼痛(LBP)是儿童马术运动员(CEA)最常见的过度使用性肌肉骨骼损伤。尽管如此,对于这些运动员中与LBP相关的危险因素知之甚少,并且关于该主题的研究非常有限。本研究旨在调查CEA中LBP的预测性危险因素。本研究的目的是确定人体测量学、活动范围(ROM)、核心耐力和矢状面脊柱形态类型测量是否为LBP的危险因素,并为与LBP相关的因素建立诊断临界值。自愿招募了19名年龄在12至17岁之间的CEA。评估的潜在危险因素包括身体成分、下肢ROM、核心耐力和矢状面脊柱测量。计算了这些危险因素与过去12个月内LBP之间的关联和预测。几乎一半的CEA至少经历过一次LBP发作。确定了两个危险因素和临界值作为CEA中LBP的预测指标:体脂率高于23%(P = 0.01)和躯干侧屈肌耐力低于65秒(P = 0.021),体脂是最强的预测指标。
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