摘要
目的探讨宁波市北仑区居民糖尿病的发病特征,为糖尿病防治和干预提供科学依据。方法对2012-2015年浙江省慢性病监测信息管理系统中北仑区糖尿病监测资料进行描述性流行病学分析。结果 2012-2015年北仑区共报告糖尿病发病10 610例,其中Ⅰ型糖尿病占0.53%,Ⅱ型糖尿病占88.34%,妊娠型糖尿病占10.58%,其他类型糖尿病占0.55%。糖尿病发病率已逐渐控制,以年均8.81%的速度递减,呈缓慢下降趋势,女性发病率高于男性发病率。20~29岁组糖尿病发病率增长速度最快,70~79岁组报告发病率最高,除20~29岁、30~39岁组外,其他年龄组糖尿病发病率呈下降趋势。妊娠型糖尿病所占比例逐年增加。结论通过多年防控,北仑区糖尿病报告发病率缓慢下降,但妊娠糖尿病发病率逐年上升,应加强孕妇的健康保健,减少妊娠糖尿病的危害。
Objective To investigate the epidemiological characteristics of diabetes mellitus in Beilun district of Ningbo city and provide scientific basis for prevention and treatment of diabetes mellitus. Methods Descriptive epidemiological analysis was done based on diabetes surveillance data in Beilun district of Zhejiang province from 2012 to 2015. Result There were10 610 cases of diabetes mellitus reported in the district during 2012 and 2015,including type Ⅰ diabetes accounted for0. 53%,type Ⅱ diabetes accounted for 88. 34%,gestational diabetes accounted for 10. 58%,other types of diabetes accounted for 0. 55%. The incidence of diabetes had been gradually controlled,with an average annual decline rate of 8. 81% with a slow downward trend. The incidence among women was higher than that of among male. The incidence rate of diabetes in the 20-years old was increasing fastest,and the incidence rate of 70-years old group was the highest; Except for 20-years old and 30-years old groups,the incidence of diabetes in other age groups showed a downward trend. The proportion of gestational diabetes had increased year by year. Conclusion The diabetes reported incidence rate has decreased slowly through prevention and control measures for years in Beilun district,but gestational diabetes incidence has increased year by year,it should strengthen the health care of pregnant women and reduce the harm of gestational diabetes mellitus.
作者
罗颖芝
顾锋
LUO Ying-zhi;GU Feng(Center for Disease Control and Prevention of Beilun District in Ningbo, Zhejiang 315800, China)
出处
《中国公共卫生管理》
2017年第5期650-652,共3页
Chinese Journal of Public Health Management
关键词
糖尿病
发病率
流行特征
diabetes
morbidity
epidemiological characteristics