首都医科大学学报 ›› 2023, Vol. 44 ›› Issue (3): 370-374.doi: 10.3969/j.issn.1006-7795.2023.03.002

• 内分泌研究与临床实践 • 上一篇    下一篇

2013至2018年北京地区1型糖尿病发病率性别差异及预测

刘畅1,2,郭默宁3,袁颖超1,2,郑建鹏3,杨金奎1,2*   

  1. 1.首都医科大学附属北京同仁医院内分泌科, 北京 100730;2.北京市糖尿病研究所,北京 100730;3.北京市卫生健康大数据与政策研究中心,北京  100034
  • 收稿日期:2023-03-01 出版日期:2023-06-21 发布日期:2023-06-08
  • 通讯作者: 杨金奎 E-mail: jkyang@ccmu.edu.cn
  • 基金资助:
    国家自然科学基金面上项目(8151101058, 81930019)

Gender differences and the prediction of type 1 diabetes incidence rate in Beijing from 2013 to 2018

Liu Chang1,2, Guo Moning3, Yuan Yingchao1,2, Zheng Jianpeng3, Yang Jinkui 1,2*   

  1. 1.  Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; 2. Beijing Diabetes Institute, Beijing 100730, China; 3. Beijing Municipal Health Big Data and Policy Research Center, Beijing 100034, China
  • Received:2023-03-01 Online:2023-06-21 Published:2023-06-08
  • Supported by:
    This study was supported by the National Natural Science Foundation of China (8151101058, 81930019). 

摘要: 目的 分析2013年至2018年北京地区常住人口1型糖尿病(type 1 diabetes,T1DM)发病率的性别差异。方法 2013年至2018年,北京市16个区153个中心(常住人口每年约2 012万)共有新发T1DM患者4 275例。采用泊松回归、Joinpoint等方法计算T1DM的年发病率,各年龄组、性别的年发病率,评估T1DM发病率趋势及其与年龄、性别的关系。使用灰色预测模型1,1 [Gray Model 1,1, GM(1,1) ],按性别预测未来10年T1DM的发病率。结果 2013—2018年这6年内北京地区常住人口中T1DM的年发病率从3.10/(10万)[95%CI:3.10(2.90,3.30)]增加到3.60/(10万)[95%CI:3.60(3.56,3.86)]。男性和女性T1DM的发病率均增加,但女性增加的幅度更大[男性年发病率变化(annual percentage change, APC):3.96%,女性APC:4.4%(P<0.05)]。性别是影响T1DM发病率的危险因素。按这一趋势到2024年,北京T1DM年发病率男性将增加到4.96/(10万),女性将增加到5.10/(10万)。结论 北京市的T1DM发病率相对较低,男性和女性的T1DM发病率均迅速增加,女性发病率升高更明显,迫切需要社会和政府的关注及进一步的监测和研究,以更好地了解可能的风险因素并制定预防策略。

关键词: 北京市, 1型糖尿病, 发病率, 预测发病率

Abstract: Objective To study the incidence of type 1 diabetes (T1DM) among males and females among permanent residents in Beijing from 2013 to 2018. Methods From 2013 to 2018, 4 275 new patients with T1DM were diagnosed in 153 centers in 16 districts of Beijing (representing a permanent population of about 20.12 million people per year). The annual incidence of T1DM and the annual incidence rate with 95% confidence interval (CI) by age group and gender were calculated by using Poisson regression and other methods. The relationship was evaluated between the incidence trend of T1DM and the age and gender. We use the gray prediction model (1, 1) [GM (1, 1)] to predict the incidence of T1DM in the future. Results The incidence of T1DM in the permanent population of Beijing increased from 3.10 per 100 000 [95%CI: 3.10 (2.90, 3.30) ] to 3.60  per 100 000 [95%CI: 3.60 (3.56, 3.86) ] within 6 years. The incidence of T1DM increased in both male and female [annual percentage change (APC) in male: 3.96%, APC in female: 4.4%, (P<0.05)].  Gender was a risk factor affecting the incidence of T1DM. By 2024, the incidence of new T1DM in Beijing would increase to 4.96  per 100 000 for male, and  for female  5.10  per 100 000. Conclusion The incidence of T1DM in Beijing is relatively low, but the incidence of T1DM in both males and females is increasing rapidly. The incidence of males is higher than that of females, but the incidence of females is more obvious, which urgently needs the attention of the society and the government. Further surveillance and research is needed to better understand possible risk factors and develop prevention strategies.

Key words: Beijing, type 1 diabetes (T1DM), incidence, predicted incidence

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