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Mount Sinai Researchers Unveil Comprehensive Youth Diabetes Dataset and Interactive Portal to Boost Research and Prevention Strategies

Academic Research
The Icahn School of Medicine at Mount Sinai has generated the most complete epidemiological dataset for research on diabetes and prediabetes in young people. This dataset was derived from substantial data collected from the National Health and Nutrition Examination Survey (NHANES) between the years 1999 and 2018. The dataset, which was made public through the recently introduced Prediabetes/diabetes in youth ONline Dashboard (POND), is intended to spark a new wave of study into the growing problem of diabetes among young people. A DOI of 10.2196/53330 was assigned to the article that was published in the journal JMIR Public Health and Surveillance.

The newly gathered dataset incorporates information on 15,149 young people living in the United States who are between the ages of 12 and 19. The data covers a wide range of factors, including sociodemographic backgrounds, health statuses, dietary habits, and other lifestyle behaviours that are important to prediabetes and diabetes (preDM/DM). In order to facilitate a better understanding of the factors that may influence the risk of diabetes in young people, the POND portal extends an invitation to researchers, health care providers, and the general public to investigate these data.

“By providing a detailed view of the risk factors and trends associated with prediabetes and diabetes in our youth, this dataset empowers clinicians and researchers to develop more effective interventions tailored to the needs of this vulnerable population,” said Nita Vangeepuram, MD, MPH, Associate Professor of Paediatrics, Population Health Science and Policy, and Environmental Medicine and Climate Science at Icahn Mount Sinai, and clinical expert on the research team. Vangeepuram is also in charge of the research team.

“The availability of such a comprehensive and accessible dataset is crucial for advancing our understanding of diabetes risk factors in youths,”

Gaurav Pandey, PhD,
Associate Professor of Genetics and Genomic Sciences, and Artificial Intelligence and Human Health, and co-senior author of the study.

Pandey is also a co-author of the study. This enables researchers to employ advanced statistical and machine learning approaches to identify patterns that were previously buried due to a lack of publicly available complete data. These patterns were previously obscured since there was a shortage of data that was publicly available.

Mount Sinai’s dedication to provide accessible and meaningful health data as well as transparency regarding the approach is highlighted by the fact that the dataset and the POND web platform were developed by co-first authors Yan Chak Li, MPhil, and Catherine McDonough, MS. By providing users with the ability to engage with and analyse this extensive dataset, POND functions as an essential instrument in the battle against diabetes in young people around the world.

“Our findings have revealed both established and novel variables linked to youth preDM/DM, highlighting the hypothesis-generating value of this dataset and its potential to transform future research and develop targeted prevention strategies,” added Bian Liu, PhD, Associate Professor of Population Health Science and Policy, and Environmental Medicine and Climate Science, and co-senior author of the study. Liu is also a co-author of the project. We have high hopes that the POND programme will not only encourage more in-depth research but also make it possible for us to develop new approaches to the management and prevention of diabetes in younger populations.

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The predicted increase in the number of diabetes diagnoses among young people all over the world is a huge public health concern, which further emphasises the importance of conducting this research.

It is possible that the efforts of the research team to simplify and democratise access to vital health data through POND may result in significant advancements in the way that diabetes is understood and treated in young populations.

A grant from the National Institutes of Health with the numbers R21DK131555 and R01HG011407 was used to finance the research.

The title of the research project is “A comprehensive youth diabetes epidemiological dataset and web portal: Resource Development and Case Studies.”

Access to the POND online portal can be gained by clicking on the following link: rstudio-connect.hpc.mssm.edu

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