基于数据挖掘分析中老年骨质疏松患者中医证型分布特征的研究. (Chinese)

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    • Alternate Title:
      Study on TCM syndromes and syndrome types of osteoporosis in the elderly based on data screening. (English)
    • Abstract:
      Objective To analyze the characteristics and distribution of TCM syndromes and syndrome types in elderly patients with osteoporosis. Methods We screened the residents (age≥50 years old) in Lujiazui and Xujiahui communities from June 2015 to December 2015. The bone mineral density of the lumbar spine (L2-4) and the hip were measured. Meanwhile, the questionnaires of TCM syndromes were filled. All the data were analyzed using SPSS 18.0 and SPSS Clementine 12.0 statistical software. Results A total of 217 osteoporosis patients aged from 50 to 86 years old were enrolled in the community. There were 60 cases of spleen-kidney yang deficiency accounting for 27.65% of the total, 65 cases of liver-kidney yin deficiency accounting for 29.95%, and 39 cases of qi stagnation-blood stasis accounting for 17.97%. Female patients with osteopenia were strongly correlated with liver-kidney yin deficiency and spleen-kidney yang deficiency, while male patients were moderately correlated with qi stagnation and blood stasis. Conclusion Elderly patients with liver-kidney yin deficiency and spleen-kidney yang deficiency are prone to osteoporosis. The treatment of osteoporosis should base on the theory of liver and kidney being the origin of congenital constitution to females and males separately. It should be emphasized that there is close association among the pathological changes of liver-spleen-kidney, qi-blood, physique, gender, age, and other factors in the clinical practice. [ABSTRACT FROM AUTHOR]
    • Abstract:
      目的 研究中老年骨质疏松患者的中医证型分布特点。方法 2015年6月至2015年12月筛选上海市部分社区居民(年龄≥50岁),检测腰2-腰4椎体及髋部骨密度(BMD),填写中医证候问卷,运用SPSS 18.0和SPSS Clementine 12.0进行关联性分析和数据挖掘。结果 共纳入社区217例50~86岁间的骨质疏松症患者,其中60例脾肾阳虚者,约27.65%;65例肝肾阴虚者,约29.95%;39例气滞血瘀者,约17.97%。女性骨量减少患者与肝肾阴虚、脾肾阳虚证型关联性强,而男性与气滞血瘀证型关联性中等。结论 肝肾阴虚、脾肾阳虚的中老年人群更易出现骨质疏松,女子以肝为先天,男子以肾为先天,临床诊治中应重视肝脾肾、气血等病理变化与体质、性别、年龄等因素间的相关性。 [ABSTRACT FROM AUTHOR]
    • Abstract:
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