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[The application of energy adjustment models in nutritional epidemiology].
Xia, P F; Zhang, Y B; Liu, G; Pan, A.
Afiliação
  • Xia PF; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
  • Zhang YB; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
  • Liu G; Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
  • Pan A; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Zhonghua Yu Fang Yi Xue Za Zhi ; 54(2): 228-232, 2020 Feb 06.
Article em Zh | MEDLINE | ID: mdl-32074716
The energy adjustment models in nutritional epidemiological studies could substantially reduce the confounding effect of total energy intake from the intake of dietary components, and it could explore the real relationship between the intake of dietary component and research outcomes. Four energy adjustment models were introduced in this article, including the standard multivariate model, multivariate nutrient residual model, energy partition model, and multivariate nutrient density model. The four energy adjustment models were applied to analyze the association between the intake of saturated fatty acids and the risk of all-cause mortality based on the data of the US National Health and Nutrition Examination Survey. The consistent results of different energy adjustment models could indicate that the four models could better control the confounding effect of total energy intake.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ingestão de Energia / Métodos Epidemiológicos / Modelos Teóricos Tipo de estudo: Prognostic_studies / Screening_studies Limite: Humans País como assunto: America do norte Idioma: Zh Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ingestão de Energia / Métodos Epidemiológicos / Modelos Teóricos Tipo de estudo: Prognostic_studies / Screening_studies Limite: Humans País como assunto: America do norte Idioma: Zh Ano de publicação: 2020 Tipo de documento: Article