摘要
目的 了解北京市万寿路居民区老年人口中周围动脉硬化闭塞病(PAOD)的现患率及相关影响因素。方法 在该地区老年居民中进行整群随机抽取2124人(男943人,女1181人),最大年龄95岁,最小年龄60岁,平均年龄68.54岁±5.43岁。以踝肱动脉压比值(AAI)<0.9为此项研究PAOD的诊断标准,确定该地区老年人口PAOD的现患率。在横断面研究中,对与PAOD患病有关的诸多影响因素进行logistic多元回归分析。结果 上述地区老年人口中,PAOD的现患率为15.91％,男11.77％,女19.22％;标准化后16.42％,男12.66％,女18.07％。logistic回归结果显示:高龄(1.06,1.04～1.09)、性别(1.93,1.49～2.48)、合并高血压病(1.48,1.16～1.87)、糖尿病病程(1.04,1.06～1.07)为研究中与PAOD患病有关的重要影响因素。结论 北京市万寿路地区老年人口中PAOD现患率与发达国家老年人口中PAOD现患率近似,且随着年龄的增高PAOD现患率增大,老年女性PAOD现患率高于老年男性。高龄、女性、合并高血压病、糖尿病患病时间延长与老年PAOD的患病有关。
Objective In oder to study the prevalence of peripheral arterial occlusive disease
(PAOD) and its risk factors in Chinese population, we conducted a cross--sectional epidemiology study on
elderly residents living in the District of Wanshoulu, Beijing in 2001. Methods A total of 2124 elderly
(aged 60--95) were randomly selected in the area. The diagnostic criteria ankle arm index (AAI<0. 9) for
PAOD was used in this study. The factors contributing to PAOD in this study were performed by logistic
regression analysis under the diagnotic criteria of PAOD. Results The overall prevanlence of PAOD was
15. 91 % with 11. 77 % in males and 19. 22 % in females. After standardization, the overall fugures became
16. 42 % with 12. 66 % in males and 18. 07 % in females. Through logistic regression analysis, the factors,
such as age (P = 0. 001; RR = 1. 06), gender (P = 0. 001; RR = 1. 93), history of hypertension (P=
0. 001; RR = 1. 48) and diabetes course (P = 0. 001; RR = 1. 04) appeared to be independent factors in this
study. Conclusions The prevanlance of PAOD in this study was similar to the prevanlence of the PAOD
studies in the developed countries. The prevalence increased with advanced age and was higher in females
than in males. The risk factors of PAOD such as hypertension, diabetes should be actively prevented and
controlled.
出处
《中华流行病学杂志》
CAS
CSCD
北大核心
2004年第3期221-224,共4页
Chinese Journal of Epidemiology
关键词
北京
万寿路地区
老年人群
周围动脉硬化闭塞病
横断面调查
Peripheral arterial occlusive disease
Prevalence
Ankle-arm index
Logistic regression analysis
