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Cohort study evaluation of New Chinese Diabetes Risk Score: A new non-invasive indicator for predicting metabolic syndrome.
Feng, Yifei; Yang, Xingjin; Li, Yang; Han, Minghui; Qie, Ranran; Huang, Shengbing; Wu, Xiaoyan; Zhang, Yanyan; Wu, Yuying; Liu, Dechen; Hu, Fulan; Zhang, Ming; Yang, Yongli; Shi, Xuezhong; Lu, Jie; Liang, Sun; Hu, Dongsheng; Zhao, Yang.
Afiliação
  • Feng Y; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Yang X; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Li Y; Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
  • Han M; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Qie R; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Huang S; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Wu X; Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
  • Zhang Y; Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
  • Wu Y; Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
  • Liu D; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China; Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
  • Hu F; Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
  • Zhang M; Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
  • Yang Y; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Shi X; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Lu J; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Liang S; Department of Social Medicine and Health Service Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Hu D; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China. Electronic address: dongshenghu563@126.com.
  • Zhao Y; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China. Electronic address: yzhao20@zzu.edu.cn.
Prim Care Diabetes ; 15(5): 825-831, 2021 10.
Article em En | MEDLINE | ID: mdl-34024742
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome Metabólica / Diabetes Mellitus Tipo de estudo: Diagnostic_studies / Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: Prim Care Diabetes Assunto da revista: ENDOCRINOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome Metabólica / Diabetes Mellitus Tipo de estudo: Diagnostic_studies / Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: Prim Care Diabetes Assunto da revista: ENDOCRINOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de publicação: Reino Unido