郑可,高文静,吕筠,余灿清,王胜锋,黄涛,孙点剑一,廖春晓,庞元捷,逄增昌,俞敏,汪华,吴先萍,董忠,吴凡,江国虹,王晓节,刘彧,邓健,陆林,曹卫华,李立明.中国双生子人群2型糖尿病分布特征[J].中华流行病学杂志,2022,43(5):634-640 |
中国双生子人群2型糖尿病分布特征 |
A descriptive analysis on type 2 diabetes in twins in China |
收稿日期:2021-07-05 出版日期:2022-05-13 |
DOI:10.3760/cma.j.cn112338-20210705-00520 |
中文关键词: 糖尿病,2型 双生子研究 同病率 现况研究 |
英文关键词: Type 2 diabetes Twin study Concordance rate Cross-sectional study |
基金项目:公益性行业科研专项(201502006,201002007) |
作者 | 单位 | E-mail | 郑可 | 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191 | | 高文静 | 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191 | pkuepigwj@126.com | 吕筠 | 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191 | | 余灿清 | 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191 | | 王胜锋 | 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191 | | 黄涛 | 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191 | | 孙点剑一 | 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191 | | 廖春晓 | 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191 | | 庞元捷 | 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191 | | 逄增昌 | 青岛市疾病预防控制中心, 青岛 266033 | | 俞敏 | 浙江省疾病预防控制中心, 杭州 310051 | | 汪华 | 江苏省疾病预防控制中心, 南京 210009 | | 吴先萍 | 四川省疾病预防控制中心, 成都 610041 | | 董忠 | 北京市疾病预防控制中心, 北京 100013 | | 吴凡 | 上海市疾病预防控制中心, 上海 200336 | | 江国虹 | 天津市疾病预防控制中心, 天津 300011 | | 王晓节 | 青海省疾病预防控制中心, 西宁 810007 | | 刘彧 | 黑龙江省疾病预防控制中心, 哈尔滨 150090 | | 邓健 | 邯郸市疾病预防控制中心, 邯郸 056001 | | 陆林 | 云南省疾病预防控制中心, 昆明 650034 | | 曹卫华 | 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191 | | 李立明 | 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191 | |
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中文摘要: |
目的 描述中国双生子登记系统(CNTR)双生子的2型糖尿病分布特征,为揭示遗传和环境因素对2型糖尿病的影响提供线索和依据。方法 CNTR 2010-2018年项目登记的所有双生子中,纳入≥30岁且有完整登记信息的18 855对双生子作为研究对象。采用随机效应模型描述2型糖尿病的人群、地区分布特征以及对内一致性的分布。结果 研究对象年龄(42.8±10.2)岁,同卵双生子(MZ)10 339对,异卵双生子(DZ)8 516对。全人群中2型糖尿病报告患病率为2.2%,MZ和DZ报告患病率差异无统计学意义。双生子对内分析发现2型糖尿病MZ同病率为38.2%,DZ为16.0%,差异有统计学意义(P<0.001),在不同性别、年龄和地区中MZ同病率均大于DZ(P<0.05)。进一步分层分析,在北方,仅在<60岁人群中发现MZ同病率大于DZ(P<0.05);而南方,≥60岁男性MZ同病率也大于DZ(P<0.05)。结论 本研究的双生子人群2型糖尿病报告患病率低于一般人群,在不同性别、年龄和地区中均提示遗传因素在2型糖尿病中起作用,但其作用大小可能不尽相同。 |
英文摘要: |
Objective To describe the distribution characteristics of type 2 diabetes in twins in Chinese National Twin Registry (CNTR), provide clues and evidence for revealing the influence of genetic and environmental factors for type 2 diabetes. Methods Of all twins registered in the CNTR during 2010-2018, a total 18 855 twin pairs aged ≥30 years with complete registration information were included in the analysis. The random effect model was used to describe the population and area distribution characteristics and concordance of type 2 diabetes in twin pairs. Results The mean age of the subjects was (42.8±10.2) years, the study subjects included 10 339 monozygotic (MZ) twin pairs and 8 516 dizygotic (DZ) twin pairs. The self-reported prevalence rate of type 2 diabetes was 2.2% in total population and there was no sighificant difference between MZ and DZ. Intra-twin pairs analysis showed that the concordance rate of type 2 diabetes was 38.2% in MZ twin pairs, and 16.0% in DZ twin pairs, the difference was statistically significant (P<0.001). The concordance rate of type 2 diabetes in MZ twin parts was higher than that in DZ twin pairs in both men and women, in different age groups and in different areas (P<0.05). Further stratified analysis showed that in northern China, only MZ twin pairs less than 60 years old were found to have a higher concordance rate of type 2 diabetes compared with DZ twin pairs (P<0.05). In southern China, the co-prevalence rate in male MZ twin pairs aged ≥60 years was still higher than that in DZ twin pairs (P<0.05). Conclusion The twin pairs in this study had a lower self-reported prevalence of type 2 diabetes than the general population. The study results suggested that genetic factors play a role in type 2 diabetes prevalence in both men and women, in different age groups and in different areas, however, the effect might vary. |
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