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Kaiyin He

Dados Biográficos

ID7550773
NOMEKaiyin He
PRENOMESKaiyin
SOBRENOMEHe
ASSINATURAHE K
AFILIAÇÕESFirst Affiliated Hospital of Jinan University
ORCID0000-0003-3884-9758
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2022
ÍNDICE H0
  • A diet rich in fruit and whole grains is associated with a low risk of type 2 diabetes mellitus

    Open Access•Yanbin Ye, Shuyu Zhuo et al.•ARTICLE•Public Health Nutrition•2022

    Objective: Various foods are associated with or protect against type 2 diabetes mellitus (T2DM). This study was to examine the associations of foods and food patterns with the risk of T2DM in South China. Design: Case–control study. Setting: The dietary patterns were identified by a principal components factor analysis. Univariable and multivariable conditional logistic regression analyses were used to analyse the associations between food groups…

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  • A diet rich in fruit and whole grains is associated with a low risk of type 2 diabetes mellitus

    Open Access•Yanbin Ye, Shuyu Zhuo et al.•ARTICLE•Public Health Nutrition•2022

    Objective: Various foods are associated with or protect against type 2 diabetes mellitus (T2DM). This study was to examine the associations of foods and food patterns with the risk of T2DM in South China. Design: Case–control study. Setting: The dietary patterns were identified by a principal components factor analysis. Univariable and multivariable conditional logistic regression analyses were used to analyse the associations between food groups…

Animal science (1 obras) · Biology (1 obras) · Case-control study (1 obras) · Conditional logistic regression (1 obras) · Confidence interval (1 obras) · Consumer Attitudes and Food Labeling (1 obras) · Diabetes mellitus (1 obras) · Diet and metabolism studies (1 obras) · Endocrinology (1 obras) · Environmental health (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae