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[A descriptive analysis on type 2 diabetes in twins in China].
Zheng, K; Gao, W J; Lyu, C Q; Yu, S F; Wang, T; Huang, D J Y; Sun, C X; Liao, Y J; Pang, Z C; Pang, M; Yu, H; Wang, X P; Wu, Z; Dong, F; Wu, G J; Jiang, X J; Wang, Y; Liu, J; Deng, L; Lu, W H; Cao, L M; Li, Liming.
Afiliação
  • Zheng K; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Gao WJ; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Lyu CQ; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Yu SF; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Wang T; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Huang DJY; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Sun CX; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Liao YJ; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Pang ZC; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Pang M; Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China.
  • Yu H; Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
  • Wang XP; Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
  • Wu Z; Sichuan Provincial Center for Disease Control and Prevention, Chengdu 610041, China.
  • Dong F; Beijing Center for Disease Prevention and Control, Beijing 100013, China.
  • Wu GJ; Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China.
  • Jiang XJ; Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China.
  • Wang Y; Qinghai Center for Diseases Prevention and Control, Xining 810007, China.
  • Liu J; Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150090, China.
  • Deng L; Handan Center for Disease Control and Prevention, Handan 056001, China.
  • Lu WH; Yunnan Center for Disease Control and Prevention, Kunming 650034, China.
  • Cao LM; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Li L; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 43(5): 634-640, 2022 May 10.
Article em Zh | MEDLINE | ID: mdl-35589565
ABSTRACT

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.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China