A5046713100- Bone health and osteoporosis research
- Gestational Diabetes Research and Management
- Diabetes Management and Education
- Adipokines, Inflammation, and Metabolic Diseases
- Pregnancy and preeclampsia studies
- Atherosclerosis and Cardiovascular Diseases
- Fluoride Effects and Removal
- Birth, Development, and Health
- Bone and Dental Protein Studies
- Interprofessional Education and Collaboration
- Genetic Associations and Epidemiology
- Palliative Care and End-of-Life Issues
- Cardiovascular Disease and Adiposity
- Diet, Metabolism, and Disease
Shihezi University
2025
Nanchang University
2023-2024
First Affiliated Hospital of Shihezi University Medical College
2024
Second Affiliated Hospital of Nanchang University
2023-2024
Second Hospital of Anhui Medical University
2015
Anhui Medical University
2015
Kyushu Dental University
1998
Gestational diabetes mellitus (GDM) is one of the most common complications during pregnancy and has been on a continuous increase in recent years. This study aimed to establish combined prediction model for risk GDM provide more reliable reference information non-invasive assessment clinical practice. retrospectively collected data ultrasound 122 pregnant women who underwent fetal nuchal translucency screening, which divided into 36 cases group 86 non-gestational mellitus(NGDM) group. The...
ABSTRACT Objective In this study, we employed a Mendelian randomization (MR) approach to investigate the independent causal associations of six body composition traits with gestational diabetes mellitus (GDM). Methods Genome‐wide significant levels ( P < 10 × 5 −8 ) single nucleotide polymorphisms associated water mass, total protein, whole fat‐free weight, fat and percentage were used as instrumental variables. Data on GDM obtained from FinnGen Consortium, both univariable multivariable...
Abstract Aims and Objectives This study aimed to investigate the current status of core competencies self‐directed learning ability diabetes specialist nurses explore relationship between these their ability. Design A cross‐sectional survey design was used. Methods conducted via a web‐based questionnaire platform in China from January 14 April 24, 2023. The included general information questionnaire, nurses' self‐assessment scale, nursing staff's evaluation scale. data collected online....
To investigate the value of two-dimensional (2D) ultrasound combined with three-dimensional power Doppler (3D-PD) in prediction macrosomia early pregnancy.