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Can I read Study on the Correlation Between Homocysteine-related Dietary Patterns and Gestational Diabetes Mellitus:a Reduced-rank Regression Analysis Study on EtoBox?

Study on the Correlation Between Homocysteine-related Dietary Patterns and Gestational Diabetes Mellitus:a Reduced-rank Regression Analysis Study by Yu-hong Liu; Ling-peng Lu; Min-hui Yi; Chun-yan Shen; Gu-qin Lu; Jie Jia; Hui Wu is a Medicine article available to read on EtoBox.

What is Study on the Correlation Between Homocysteine-related Dietary Patterns and Gestational Diabetes Mellitus:a Reduced-rank Regression Analysis Study about?

## Abstract ## Background This study aimed to evaluate the association between homocysteine-related dietary patterns and gestational diabetes mellitus. ## Methods A total of 488 pregnant women at 24–28 weeks of gestation between January 2019 and December 2020 were included. Demographic characteristics, dietary intake, and multivitamin supplement intake information were collected using a food frequency questionnaire (FFQ); fasting venous blood samples were collected for serum index detection. Serum homocysteine (Hcy), folic acid, and B12 were selected as response variables, and hyperhomocysteinemia (hHcy)-related dietary patterns were extracted using the reduced rank regression.. The relationship between the score of hHcy-related dietary patterns and GDM was analyzed using a multivariate logistic regression model. ## Results Three hHcy-related dietary patterns were extracted. Only mode 2 had a positive and significant relationship with the risk of developing GDM. After adjusting for confounding factors, the risk of GDM was significantly increased in the highest quartile array compared with the lowest quartile of the pattern (OR = 2.96, 95% Confidence Interval: 0.939–9.356, P = 0.004

Who reads Study on the Correlation Between Homocysteine-related Dietary Patterns and Gestational Diabetes Mellitus:a Reduced-rank Regression Analysis Study?

It is typically read by researchers, students, and practitioners in Medicine.

Author
Yu-hong Liu; Ling-peng Lu; Min-hui Yi; Chun-yan Shen; Gu-qin Lu; Jie Jia; Hui Wu
Publisher
Springer Science and Business Media LLC
Published
2022
Language
EN
Field
Medicine (Health Sciences)

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