中国组织工程研究 ›› 2010, Vol. 14 ›› Issue (52): 9835-9837.doi: :10.3969/j.issn.1673-8225.2010. 52.036

• 骨与关节临床实践 clinical practice of the bone and joint • 上一篇    下一篇

影响腰痛患者腰椎活动范围危险因素的多元分析

任昕宇1,郑晓勇2,唐怀福1   

  1. 1解放军总参谋部卫星定位总站门诊部,北京市 100094;  2解放军总医院第一附属医院骨科,北京市 100048
  • 出版日期:2010-12-24 发布日期:2010-12-24
  • 作者简介:任昕宇,女,1981年生,北京市人,汉族,2002年第二军医大学毕业,医师,主要从事训练伤方面的研究, zheng_yong_2000@163.com

Multivariate analysis of risk factors for range of motion in patients with low back pain

Ren Xin-yu1, Zheng Xiao-yong2, Tang Huai-fu1   

  1. 1 Outpatient Department, the 61081 Armed Forces of Chinese PLA, Beijing  100094, China; 2 Department of Orthopedics, First Hospital of Chinese PLA General Hospital, Beijing  100048, China
  • Online:2010-12-24 Published:2010-12-24
  • About author:Ren Xin-yu, Physician, Outpatient Department, the 61081 Armed Forces of Chinese PLA, Beijing 100094, China zheng_yong_2000@163.com

摘要:

背景:曾有学者应用单因素分析方法研究了年龄和退变等因素对腰椎活动范围的影响,但是尚缺少多元分析的结果,尤其是针对腰痛患者尚没有该方面的研究报道。
目的:应用多元回归方法探讨影响腰痛患者腰椎屈伸活动度的危险因素。
方法:纳入120例腰痛患者,男88例,女32例,平均年龄51.13岁(23~74岁)。依据修订后的Kellgren评分标准分别对其X射线平片进行分析。应用多元回归方法分别对各个节段进行分析。分析因素包括:①年龄。②性别。③身高。④体质量。⑤体质量指数。⑥待测量节段的腰椎活动范围。⑦上邻节段的腰椎活动范围。⑧下邻节段的腰椎活动范围(L5~S1除外)。
结果与结论:对于L 1~5各个节段,体质量指数是影响腰痛患者腰椎活动范围的显著因素。对于L 3~5各个节段,年龄是影响腰椎活动范围的显著因素。测量节段的Kellgren 评分只有在L5~S1节段与该节段的腰椎活动范围显著相关。对于L 4~5节段,下邻节段的Kellgren 评分是影响腰痛患者腰椎活动范围的显著因素。相邻节段的Kellgren 评分、性别、体质量及身高在任何节段均与腰椎活动范围无显著相关性。结果提示,体质量指数和年龄是影响腰痛患者腰椎活动范围的显著性因素,退变只在L5~S1节段与腰椎活动范围有显著相关性。

关键词: 多元分析, 腰痛, 腰椎, 活动范围, 危险因素

Abstract:

BACKGROUND: One way analysis of variance has been used to explore the influence of age and degeneration on lumbar spine motion. However, multiple analysis results are few, especially for patients with low back pain.
OBJECTIVE: To assess lumbar spine segmental range of motion (ROM) with flexion/extension radiographs using multiple regression analysis.
METHODS: A total of 120 patients with low back pain were selected, including 32 females and 88 males with an average age of 51.13 years (ranging 23 to 74 years). Segmental ROM and Kellgren score (KS) of degeneration were assessed. Multivariate analyses were performed for each level. Independent variables evaluated were: ① age, ②sex, ③height, body mass, body mass index, ROM of segment before measurement, ROM at the level above, ROM at the level below (except L5-S1).
RESULTS AND CONCLUSION: Body mass index had a significant negative association with ROM at L 1-5. Age had a significant negative association with ROM at L 3-5. KS at the level of interest had significant negative association with ROM only at L5-S1. KS at the below level had significant negative association with ROM only at L 4-5. At adjacent levels, KS, body mass, sex and height did not have a significant association with ROM at any level. Results showed that age and body mass index were the strongest statistical predictors of ROM, and degeneration was a significant predictor of ROM only at L5-S1.

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