Advances in Diabetes: Prevalence, Risk Factors, Complications, Costs and Disparities

A special issue of Diabetology (ISSN 2673-4540).

Deadline for manuscript submissions: 15 February 2026 | Viewed by 1457

Special Issue Editors


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Guest Editor
1. Charleston Health Equity and Rural Outreach Innovation Center (HEROIC), Ralph H. Johnson VA Health Care System, Charleston, SC 29401-5799, USA
2. College of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
Interests: diabetes; chronic kidney disease; stroke; epilepsy; substance use disorder; cost–benefit; health disparities; health service research; health economics

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Guest Editor
Health Equity Research, Medical College of Wisconsin, Milwaukee, WI, USA
Interests: type 2 diabetes; cardiovascular disease risk factors; health equity and health disparities; social-medical integration; chronic disease self-management; social determinants of health

Special Issue Information

Dear Colleagues,

Diabetology is an international, open access journal. In this Special Issue of Diabetology, we invite researchers to submit their works on topic of "Advances in Diabetes: Prevalence, Risk Factors, Complications, Costs and Disparities”. The instructions on how to proceed with writing will be available on a dedicated web page. Research areas may include (but are not limited to) the following:

  • Epidemiology of diabetes, presenting the latest data on the incidence, prevalence and risk factors across different populations.
  • Diabetes’ associations with a range of acute and chronic complications that significantly impact patients' quality of life and healthcare resources.
  • The economic burden of diabetes on individuals, healthcare systems and society at large, including areas such as healthcare utilization, costs and cost-effectiveness.
  • Disparities in diabetes’ prevalence, care, and other outcomes across different populations, influenced by social determinants/socioeconomic status and geographic regions, or efforts to reduce these inequities.

We invite you to submit original research articles, systematic reviews, narrative reviews or short communications on this topic. We look forward to your contributions.

Dr. Kinfe G. Bishu
Dr. Joni S. Williams
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diabetology is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • prevalence
  • risk factors
  • complications
  • mortality
  • healthcare utilization
  • healthcare costs
  • cost-effectiveness
  • social determinants
  • health disparities

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Published Papers (1 paper)

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Research

35 pages, 2576 KB  
Article
A Study on Risk Factors Associated with Gestational Diabetes Mellitus
by Isabel Salas Lorenzo, Jair J. Pineda-Pineda, Ernesto Parra Inza, Saylé Sigarreta Ricardo and Sergio José Torralbas Fitz
Diabetology 2025, 6(10), 119; https://doi.org/10.3390/diabetology6100119 - 17 Oct 2025
Viewed by 1207
Abstract
Background/Objectives: Gestational Diabetes Mellitus (GDM) is a global health issue with immediate and long-term maternal–fetal complications. Current diagnostic approaches, such as the Oral Glucose Tolerance Test (OGTT), have limitations in accessibility, sensitivity, and timing. This study aimed to identify key nodes and structural [...] Read more.
Background/Objectives: Gestational Diabetes Mellitus (GDM) is a global health issue with immediate and long-term maternal–fetal complications. Current diagnostic approaches, such as the Oral Glucose Tolerance Test (OGTT), have limitations in accessibility, sensitivity, and timing. This study aimed to identify key nodes and structural interactions associated with GDM using graph theory and network analysis to improve early predictive strategies. Methods: A literature review inspired by PRISMA guidelines (2004–2025) identified 44 clinically relevant factors. A directed graph was constructed using Python (version 3.10.12), and centrality metrics (closeness, betweenness, eigenvector), k-core decomposition, and a Minimum Dominating Set (MDS) were computed. The MDS, derived using an integer linear programming model, was used to determine the smallest subset of nodes with systemic dominance across the network. Results: The MDS included 20 nodes, with seven showing a high out-degree (≥4), notably Apo A1, vitamin D, vitamin D deficiency, and sedentary lifestyle. Vitamin D exhibited 15 outgoing edges, connecting directly to protective factors like HDL and inversely to risk factors such as smoking and obesity. Sedentary behavior also showed high structural influence. Closeness centrality highlighted triglycerides, insulin resistance, uric acid, fasting plasma glucose, and HDL as nodes with strong predictive potential, based on their high closeness and multiple incoming connections. Conclusions: Vitamin D and sedentary behavior emerged as structurally dominant nodes in the GDM network. Alongside metabolically relevant nodes with high closeness centrality, these findings support the utility of graph-based network analysis for early detection and targeted clinical interventions in maternal health. Full article
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