Ya-Ting Fan, Xin-Hui Wang, Qing Wang, Xiao-Tong Luo, Jing Cao
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引用次数: 0
Abstract
This study provides a comprehensive examination of gestational diabetes mellitus (GDM), shedding light on the geographical and ethnic variations in its prevalence. It elucidates the diagnostic evolution, noting the transition from rudimentary glucose tests to the more sophisticated Oral Glucose Tolerance Test (OGTT), which not only facilitates early detection but also standardizes screening protocols. The study delves into the evolution of GDM diagnosis, emphasizing the standardization of the OGTT and its pivotal role in enhancing early detection rates. It meticulously discusses holistic management approaches for GDM, encompassing tailored dietary interventions, prescribed physical activity, and pharmacotherapy. The need for individualized strategies to optimize glucose control is strongly emphasized. The study underscores the significance of mental health in GDM management, advocating for integrated psychological support and stress management interventions to bolster metabolic regulation. An exploration of telemedicine and artificial intelligence highlights their potential to revolutionize GDM care by enabling real-time monitoring and personalized interventions, thus improving patient outcomes. An analysis of health policies and educational efforts underscores their impact on GDM management, advocating for proactive measures to mitigate its prevalence through public health initiatives. The study identifies key research gaps and offers a focused analysis of critical advancements in GDM management, including personalized care strategies and the role of innovative technologies such as artificial intelligence and telemedicine in improving outcomes. Finally, the study calls for further research into personalized treatment modalities and innovative diagnostic tools to address existing gaps in GDM management, particularly in diverse demographic groups.
期刊介绍:
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