摘要
目的了解股骨头缺血性坏死住院患者的性别特征及相关影响因素。方法采用单纯随机抽样的方法抽取1 062例股骨头缺血坏死住院患者病案资料。研究对象按男女性别进行分组,比较两组单双侧发病情况、年龄、民族、职业、病因、分期、发病时间等的差异。结果男性患者多于女性患者,男、女均在40～49岁构成比最高,两组间发病侧别、职业、病因构成的差异均有统计学意义(均有P<0.05)。年龄≥14岁股骨头缺血性坏死1 024例,共1 747髋,股骨头坏死程度依据国际骨循环研究学会(association research circulation osseuse,ARCO)分期标准,男性患者ARCO分期和年龄分布无相关性(rs=0.05,P=0.057),女性患者ARCO分期和年龄分布有相关性(rs=0.12,P=0.020)。华北地区的男性与女性发病年龄的差异有统计学意义;华北、中南地区的男性与女性发病时间的差异有统计学意义。男性、女性各地区的发病年龄的差异有统计学意义。结论股骨头缺血性坏死患者男性和女性发病特征和侧别、年龄、地域、职业、病因、分期、发病时间等因素之间相互联系。
Objective To understand the gender characteristics and related factors of patients with avascular necrosis of femoral head.Methods A random sample of 1 062 cases with avascular necrosis of femoral head of inpatient was collected.They were divided into two groups by gender,the incidence between unilateral and bilateral,different age,nationalities,occupations,etiology,staging,onset time and other projects were compared.Results The number of male cases was more than female,the constituent ratio of male and female were the highest from 40 to 49.The constituent ratio of the side,occupation and etiology were significantly different between the two groups（P0.05）.In aged ≥14 years old patients with avascular necrosis of femoral head 1 024 cases of 1 747 hip,male cases association research circulation osseuse（ARCO） stage and age did not have rank correlation（rs=0.05,P=0.057）,female cases ARCO stage and age did have rank correlation（rs=0.12,P=0.020）.The difference of onset age between men and women in North China was statistically significant,the difference of the course between men and women in North and Central South region were statistically significant.The difference of onset age between men and women in all regions were statistically significant.Conclusions The gender characteristics of avascular necrosis of femoral head were interrelated with side,age,geography,occupation,etiology,staging,time of onset and other factors.
出处
《中华疾病控制杂志》
CAS
北大核心
2012年第3期195-197,共3页
Chinese Journal of Disease Control & Prevention
关键词
股骨头坏死
性别分布
因素分析
统计学
Femur head necrosis
Sex distribution
Factor analysis
statistical
