利用计算机光度测量诊断儿童姿势失调症

Анатолій Корольчук, Олександр Кулешов, Володимир Герасименко, Сергій Ломинога
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摘要

研究的实际情况。文献和统计数据表明,乌克兰儿童的发病率居高不下。值得注意的是,肌肉骨骼系统和结缔组织疾病在发病率结构中占第五位,而姿势障碍和脊柱侧弯仍然是学龄儿童最紧迫的问题。本研究的目的是检查计算机光度测量法在诊断不同运动水平的学龄儿童姿势失调方面的效率。研究方法。为了提高对姿势状态的动态控制,增加研究的客观性,减少检查时间和简化统计材料的处理,使用了一个利用计算机光度法诊断姿势障碍的复合软件。结果发现结果发现,25% 的受检学龄儿童存在姿势障碍。姿势失调多见于 10 至 13 岁的儿童,而女孩出现姿势失调的比例比男孩高 10%。系统锻炼并不能自动保证形成正确的姿势。在儿童运动员中,角度人体测量参数不对称的指标更为明显,这是背部肌肉负荷分布不对称的结果。不运动的儿童更容易形成畸形姿势。结论作为一种工具性诊断方法,计算机光度测量法具有较高的信息量和可靠性,有助于最大限度地将数据客观化,并在筛查和大规模检查中有效地检测姿势失调。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DIAGNOSTICS OF POSTURAL DISORDERS IN CHILDREN USING COMPUTER PHOTOMETRY
Actuality of the research. Literary and statistical data show that the level of morbidity among children in Ukraine remains high. Important to note that musculoskeletal system and connective tissue diseases take the fifth place among the morbidity structure, while the postural disorders and scoliosis remain the most urgent problem in school­age children. The aim of study is to check the computer photometry method efficiency for postural disorders diagnostics in school­age children with different levels of motor activity. Research methodology. In order to improve the dynamic control over the posture state, to increase the study objectification, to reduce the examination time and simplify the statistical material processing, a software complex for diagnosing posture disorders using the computer photometry method was used. Results. It was found that 25% of examined school­age children had postural disorders. Most often, postural disorders were observed within the age of 10­13 years, while in girls, postural disorders were registered 10% more often than in boys. Systematic exercise does not automatically guarantee the correct posture formation. In children­athletes, more pronounced indicators of angular anthropometric parameters asymmetry were registered, as a result of asymmetric back muscles load distribution. Children who did not exercise were more prone to kyphotic posture developing. Conclusions. As instrumental diagnostics, the computer photometry method has high level of informativeness and reliability, helps to maximize the data objectification and is effective in postural disorders detecting during as screening and as mass examinations.
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