# Geographic Variations and Determinants of Prediabetes and Type 2 Diabetes Among Indonesian Adults: Evidence From the 2023 Indonesian Health Survey
> Adnan Y.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_105054581137
Jurnal / Konferensi: Tropical Medicine and International Health
Tahun terbit: 2026
DOI: https://doi.org/10.1111/tmi.70247
ISSN: 13602276
Kuartil SJR: Q1
Citations: 0

## Authors
- Adnan Y.

## Abstract
OBJECTIVES: The rising burden of prediabetes and Type 2 diabetes (T2D) in Indonesia, along with geographic disparities and age-related risk patterns, remain inadequately understood. The present study used nationally representative data to examine determinants, geographic variations and age and sex related glycaemic probability patterns. METHODS: A cross-sectional study using data from the Indonesian Health Survey 2023 on individuals aged ≥ 15 years (n = 37,157). Analysis was performed using survey weighting and multinomial logistic regression. Non-linear age relationships were modelled using generalized additive models (GAM), and regional variations were visualized using choropleth maps. RESULTS: A total of 37.4% of respondents were classified as normoglycaemia, 41.6% as prediabetic and 20.9% as having T2D. The main determinants of prediabetes included age ≥ 45 years (aOR = 1.48; 95% CI: 1.40-1.57), males (aOR = 1.55; 95% CI: 1.44-1.67), obesity (aOR = 1.46; 95% CI: 1.37-1.55), hypertension (aOR = 1.35; 95% CI: 1.27-1.43) and dyslipidemia (aOR = 1.31; 95% CI: 1.24-1.38). The main determinants of T2D were age ≥ 45 years (aOR = 7.13; 95% CI: 5.63-9.04), dyslipidemia (aOR = 2.51; 95% CI: 2.10-3.00), hypertension (aOR = 1.77; 95% CI: 1.50-2.09) and obesity (aOR = 1.65; 95% CI: 1.35-2.01). The GAM showed a non-linear and accelerated increase in the probability of T2D in older age. Geographically, the burden of dysglycaemia is more concentrated in western Indonesia, indicating regional disparities in risk distribution. CONCLUSIONS: These findings demonstrate significant geographic variation and key determinants of prediabetes and T2D, supporting region-specific prevention strategies, risk-based screening and equitable public health policies to strengthen diabetes prevention and control in Indonesia.

## Keywords
- Prediabetes
- Medicine
- Dyslipidemia
- Type 2 diabetes
- Demography
- Environmental health
- Obesity
- Indonesian
- Logistic regression
- Public health
- Multinomial logistic regression
- Gerontology
- Cross-sectional study
- Socioeconomic status
- Overweight
- Diabetes mellitus
- Population
- Type 2 Diabetes Mellitus
- Social determinants of health
- Metabolic syndrome
- National Health and Nutrition Examination Survey
- Survey data collection
- Geography
- Poverty
- Impaired fasting glucose
- Quartile

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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