Evidence map›Paper›PMID 40416484›Full record

ArticleJournal of the ASEAN Federation of Endocrine Societies2025

Sociodemographic and Lifestyle Factors Associated with Undiagnosed Diabetes in Indonesia: Findings from the Basic Health Research Work of Riskesdas 2018.

Ayunina Rizky Ferdina, Juhairiyah, Windy Tri Yuana, Budi Setyawati, Dhita Elsha Pangestika

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Article in Journal of the ASEAN Federation of Endocrine Societies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ayunina Rizky FerdinaNational Research and Innovation Agency (Badan Riset dan Inovasi Nasional - BRIN), Jakarta, Indonesia.
JuhairiyahNational Research and Innovation Agency (Badan Riset dan Inovasi Nasional - BRIN), Jakarta, Indonesia.
Windy Tri YuanaNational Research and Innovation Agency (Badan Riset dan Inovasi Nasional - BRIN), Jakarta, Indonesia.
Budi SetyawatiNational Research and Innovation Agency (Badan Riset dan Inovasi Nasional - BRIN), Jakarta, Indonesia.
Dhita Elsha PangestikaStatistics Indonesia (Badan Pusat Statistik - BPS), Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As a developing nation, there has been an increasing trend in non-communicable diseases, including diabetes mellitus (DM) in Indonesia. However, a remarkable proportion of DM cases in this archipelagic country is likely undiagnosed. Objective: This study assessed the sociodemographic and lifestyle factors related to undiagnosed DM in Indonesians. Methodology: This cross-sectional study analyzed secondary data from the 2018 Indonesian Basic Health Research (Riskesdas). It involved 3,755 study subjects, 3,619 individuals with high blood glucose levels meeting the DM criteria and 136 individuals with controlled DM. Multivariable regression analysis examined the associations between sociodemographic and lifestyle factors and undiagnosed diabetes. Results: The study revealed that 80% of the DM cases among the subjects were undiagnosed. Multivariable analysis confirmed that age group, area of residence, employment, wealth quintiles and physical activity were significantly associated with higher odds of undiagnosed diabetes. Notably, sex, smoking status and vegetable consumption did not show any association with the diagnosis status of diabetes. Conclusion: A significant portion of DM cases in Indonesia remain undiagnosed, especially among young adults, rural residents, agricultural workers and lower socioeconomic groups. Improved healthcare access, targeted screening and enhanced health education are essential to ensure early diagnosis and effective management of diabetes.

Indexed as

Diabetes MellitusLife StyleAdolescentAdultAgedCross-Sectional StudiesFemaleHumansIndonesiaMaleMiddle AgedRisk FactorsSociodemographic FactorsSocioeconomic FactorsYoung Adultdiabetes mellitusdiabeticnon-communicable diseasesundiagnosed diabetes

Identifiers

PMID40416484
PMCPMC12097968

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