Regional disparities in diabetes comorbidity and mortality: a nationwide investigation of provinces in Indonesia
https://doi.org/10.13181/mji.oa.268358
- Author:
Hamzah Pratama Megantara
1
;
Iwan Dakota
2
;
Taofan
2
;
Suci Indriani
2
;
Ruth Grace Aurora
2
;
Suko Adiarto
2
Author Information
1. Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Indonesia, National Cardiovascular Center Harapan Kita, Jakarta, Indonesia; Department of Medical Education, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
2. Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Indonesia, National Cardiovascular Center Harapan Kita, Jakarta, Indonesia
- Publication Type:Journal Article
- Keywords:
comorbidity;
diabetes;
mortality;
Indonesia;
policy;
regional health planning
- MeSH:
comorbidity;
diabetes;
mortality;
Indonesia;
policy;
regional health planning
- From:
Medical Journal of Indonesia
2026;35(3):245-251
- CountryIndonesia
- Language:English
-
Abstract:
BACKGROUND :Diabetes mellitus (DM) remains a major global health challenge, and its burden is intensified by comorbidities, such as obesity, hyperglycemia, and kidney dysfunction. Diverse geography and population, such as Indonesia, create unique provincial variations in DM risk factors, necessitating detailed sub-nationwide analyses to guide policymaking. This study aimed to evaluate regional disparities in diabetes-related mortality and associated risk factors across Indonesian provinces and to examine whether population density influences the distribution of these risk factors.
METHODS :We analyzed age-standardized DM mortality and summary exposure values for 9 comorbidities across 34 provinces (GBD 2021), using Pearson's/Spearman's correlations nationally and provincially. Coefficient power was classified as weak (0.01–0.29), moderate (0.30–0.69), or strong (0.70–1.00).
RESULTS :At the national scale, DM mortality was moderately associated with high BMI, high FPG, and kidney dysfunction (all R = 0.60; p<0.001). Associations were stronger in high-density provinces and negligible in low-density provinces. Across provinces, BMI and FPG were the most consistent correlates of DM mortality while diet-related factors (e.g., sugar intake) showed the largest gradient by density.
CONCLUSIONS :These findings support the development of tailored strategies based on population density to effectively reduce diabetes-related mortality. These results indicate that interventions in urban provinces should prioritize curbing sugar intake and reducing obesity prevalence. In intermediate-density regions, the focus should shift to the intensification of management for kidney disease and the optimization of blood pressure control. For low-density provinces, a critical approach involves expanding systematic screening programs and enhancing patient access to healthcare services.
- Full text:202611091600531136435-3-8358-Hamzah-Pratama-Megantara_xmp-1.pdf
