Gestational Diabetes Hotspots Expand in Casey and Dandenong: A Growing Concern
By Violet Li
A recent study by Monash University has revealed a concerning trend in the prevalence of gestational diabetes across the City of Casey and Greater Dandenong. The research, led by PhD candidate Wubet Worku Takele and Associate Professor Jacqueline Boyle, analyzed data from over 1.7 million women who gave birth between 2016 and 2021 in Australia.
The findings indicate that gestational diabetes hotspots are expanding northward within Casey and into parts of Greater Dandenong. These areas, once concentrated in Casey South, have now spread to Casey North and parts of Greater Dandenong, including suburbs like Doveton, Hallam, Endeavour Hills, Narre Warren, Cranbourne, Cranbourne East, Hampton Park, and Lynbrook.
In 2016-2017, elevated rates were primarily confined to Casey South. However, by 2018-2019, the hotspots had expanded northward, with higher rates recorded in suburbs like Doveton, Hallam, Endeavour Hills, and Narre Warren. By 2020-2021, the hotspots were evident across most of Casey and Greater Dandenong, with some of the highest rates recorded in Cranbourne (38.7 incidents per 100 women) and Dandenong North (33.9 incidents per 100 women).
The number of gestational diabetes hotspots across Casey and Greater Dandenong has increased significantly over the reporting periods. In 2016-2017, only eight suburbs within Casey were identified as hotspots. This number rose to 21 by 2018-2019 and further increased to 25 by 2020-2021.
In contrast, inner-south east Melbourne remained among the cold spot areas with lower rates of the disease. The study suggests that there are multiple reasons behind these hotspots, ranging from individual to environmental risk factors.
Mr. Takele highlights that the clustering of gestational diabetes often overlaps with socioeconomically disadvantaged areas and regions with high segregation of non-European migrant women, who are at an increased risk due to genetic, cultural, and structural factors. Limited access to healthy food outlets and high air pollution exposure in underserved communities may also contribute to the higher risk of gestational diabetes.
The study also points to higher rates of overweight and obesity among women of childbearing age in hotspot areas. National data shows that many persistent hotspot regions, including parts of southeast Melbourne, have very high proportions of adult women with obesity, with some areas recording rates of around 70%.
Local environments play a role, as evidenced by studies from other countries. Neighborhood features like walkability, access to recreation facilities, and healthy food outlets can influence gestational diabetes risk, independent of income or education. However, some areas classified as socioeconomically advantaged still recorded persistent hotspots, suggesting the presence of unmeasured environmental factors.
Gestational diabetes is a form of diabetes first diagnosed during pregnancy, characterized by elevated blood glucose levels. It affects nearly one in five pregnancies in Australia, where over 280,000 women give birth each year. The diagnosis and treatment of gestational diabetes are crucial to reducing the risk of complications such as macrosomia, labor induction, and birth asphyxia, which can lead to caesarean delivery.
Women with gestational diabetes are also at an increased risk of developing type 2 diabetes, cardiovascular diseases, and gestational diabetes in subsequent pregnancies. The study emphasizes the importance of identifying and addressing the underlying factors contributing to the rising prevalence of gestational diabetes in these regions.
Further research is needed to explore the interplay between individual-level and environmental-level risk factors. The study suggests that geographically targeted interventions may be necessary to enhance access to postpartum screening and mitigate associated complications and chronic conditions like type 2 diabetes and cardiovascular disease.
For more information and to read the study, visit: pubmed.ncbi.nlm.nih.gov/41161827/
