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

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...

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Published inJournal of the ASEAN Federation of Endocrine Societies Vol. 40; no. 1; pp. 53 - 60
Main Authors Ferdina, Ayunina Rizky, Juhairiyah, Yuana, Windy Tri, Setyawati, Budi, Pangestika, Dhita Elsha
Format Journal Article
LanguageEnglish
Published Philippines Journal of the ASEAN Federation of Endocrine Societies 01.05.2025
Subjects
Adolescent
Adult
Aged
Cross-Sectional Studies
Diabetes Mellitus - diagnosis
Diabetes Mellitus - epidemiology
Female
Humans
Indonesia - epidemiology
Life Style
Male
Middle Aged
Original
Risk Factors
Sociodemographic Factors
Socioeconomic Factors
Young Adult
Indonesia
non-communicable diseases
diabetic
diabetes mellitus
undiagnosed diabetes
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Summary: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 and 136 individuals with controlled DM. Multivariable regression analysis examined the associations between sociodemographic and lifestyle factors and undiagnosed diabetes. Result. 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.
ISSN:0857-1074
2308-118X
DOI:10.15605/jafes.040.01.21