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Birth weight and risk of type 2 diabetes: A dose-response meta-analysis of cohort studies.
Tian, Gang; Guo, Chunmei; Li, Quanman; Liu, Yu; Sun, Xizhuo; Yin, Zhaoxia; Li, Honghui; Chen, Xu; Liu, Xuejiao; Zhang, Dongdong; Cheng, Cheng; Liu, Leilei; Liu, Feiyan; Zhou, Qionggui; Wang, Chongjian; Li, Linlin; Wang, Bingyuan; Zhao, Yang; Liu, Dechen; Zhang, Ming; Hu, Dongsheng.
Affiliation
  • Tian G; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China.
  • Guo C; The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, People's Republic of China.
  • Li Q; The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, People's Republic of China.
  • Liu Y; The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, People's Republic of China.
  • Sun X; The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, People's Republic of China.
  • Yin Z; The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, People's Republic of China.
  • Li H; The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, People's Republic of China.
  • Chen X; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China.
  • Liu X; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China.
  • Zhang D; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China.
  • Cheng C; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China.
  • Liu L; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China.
  • Liu F; Department of Preventive Medicine, Shenzhen University Health Science Center, Shenzhen, People's Republic of China.
  • Zhou Q; Department of Preventive Medicine, Shenzhen University Health Science Center, Shenzhen, People's Republic of China.
  • Wang C; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China.
  • Li L; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China.
  • Wang B; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China.
  • Zhao Y; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China.
  • Liu D; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China.
  • Zhang M; Department of Preventive Medicine, Shenzhen University Health Science Center, Shenzhen, People's Republic of China.
  • Hu D; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China.
Diabetes Metab Res Rev ; 35(5): e3144, 2019 07.
Article in En | MEDLINE | ID: mdl-30786122
ABSTRACT
The association between birth weight and type 2 diabetes mellitus has been debated for several decades. The objective of this systematic review and meta-analysis was to quantitatively clarify the association between birth weight and risk of type 2 diabetes mellitus based on cohort studies. We searched PubMed, Web of Science, and Embase databases for cohort study articles on the association between birth weight and risk of type 2 diabetes mellitus published up to 1 March 2018. Random effects of generalized least square regression models were used to estimate relative risk (RR). Restricted cubic splines were conducted to model the dose-response relationship. We included 21 studies (19 articles) involving 1 041 879 individuals and 35 699 cases of type 2 diabetes mellitus, with follow-up ranged from 6 to 47 years. We identified significant decreasing trend for the highest versus lowest category of birth weight for the association with type 2 diabetes mellitus risk The risk was reduced by 35% (RR, 0.65; 95% confidence interval [CI], 0.53-0.81) and by 12% (RR 0.88; 95% CI, 0.85-0.91) per 500-g increment in birth weight. Our results showed a dose-response relationship between birth weight and diabetes risk, which was nonlinear (Pnonlinearity  < 0.001) and L-shaped. With increasing birth weight (<5000 g), the risk of type 2 diabetes mellitus decreased substantially. The association between birth weight and type 2 diabetes mellitus was curvilinear and L-shaped.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Birth Weight / Diabetes Mellitus, Type 2 Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limits: Adolescent / Adult / Child / Child, preschool / Humans / Infant / Middle aged / Newborn Language: En Journal: Diabetes Metab Res Rev Journal subject: ENDOCRINOLOGIA / METABOLISMO Year: 2019 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Birth Weight / Diabetes Mellitus, Type 2 Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limits: Adolescent / Adult / Child / Child, preschool / Humans / Infant / Middle aged / Newborn Language: En Journal: Diabetes Metab Res Rev Journal subject: ENDOCRINOLOGIA / METABOLISMO Year: 2019 Document type: Article