PRENTICE MODEL TO PREDICT GESTATIONAL DIABETES MELLITUS ON THE BASIS OF MATERNAL RISK FACTORS: A CROSS-SECTIONAL STUDY

Kamola Sattarova; Sharodiya Das

PRENTICE MODEL TO PREDICT GESTATIONAL DIABETES MELLITUS ON THE BASIS OF MATERNAL RISK FACTORS: A CROSS-SECTIONAL STUDY

Authors

Kamola Sattarova PhD, Assistant of the Department of Obstetrics and Gynecology, Tashkent State Medical University, Uzbekistan.
Sharodiya Das Student of International faculty, Tashkent State Medical University, Uzbekistan.

Keywords:

Gestational Diabetes Mellitus (GDM); Prentice Model; Case-Cohort Design; Risk Prediction; Maternal Risk Factors; HbA1c; Pre-pregnancy Body Mass Index (BMI); Family History of Diabetes; Multivariate Analysis; Logistic Regression.

Abstract

Objective: The aim of this study was to develop a predictive model of gestational diabetes mellitus (GDM) using the Prentice-weighted logistic regression method and assessing the contribution of significant maternal risk factors.

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Published

2025-05-21

How to Cite

Kamola Sattarova, & Sharodiya Das. (2025). PRENTICE MODEL TO PREDICT GESTATIONAL DIABETES MELLITUS ON THE BASIS OF MATERNAL RISK FACTORS: A CROSS-SECTIONAL STUDY. Web of Medicine: Journal of Medicine, Practice and Nursing , 3(5), 342–346. Retrieved from https://webofjournals.com/index.php/5/article/view/4285