ArticleScientific reports2023
Findings from the Indonesian family life survey on patterns and factors associated with multimorbidity.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Where Are the Gaps in Diabetes Care? An Evidence Gap Mapping of the Diabetes Patient Journey in Indonesia.Tropical medicine & international health : TM & IH · 2026Pooled it
- Beyond medication: factors contributing to uncontrolled hypertension from the 2023 Indonesian health survey.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Article
- Wealth-based and rural-urban disparities in digestive diseases among indonesian adults: evidence from a cross-sectional analysis of the Indonesia Family Life Survey (IFLS-5).BMC public health · 2026Article
- Determinants of Medication Non-Adherence in 1,750 Indonesian Adults with Chronic Diseases: A Nationwide Cross-Sectional Study.Patient preference and adherence · 2026Article
- Key Factors Associated With Nonuse of Telemedicine in Patients With Hypertension and/or Diabetes: Findings From the 2023 Indonesia Health Survey.International journal of telemedicine and applications · 2026Article
- Mediating Role of Health Insurance on Socioeconomic Inequalities in Dental Utilisation Patterns Among Indonesian Adults.Community dentistry and oral epidemiology · 2025Article
- Trends of diabetes and pre-diabetes in Indonesia 2013-2023: a serial analysis of national health surveys.BMJ open · 2025Article
- Willingness of patients with chronic diseases to use telepharmacy services in Bandung City, West Java, Indonesia.Scientific reports · 2025Article
- Factors associated with decision-making autonomy in healthcare utilization among married women from the Indonesia demographic health survey 2017.Scientific reports · 2025Article
- Pharmacist-Led Interventions to Improve Medication Adherence Among Patients with Multimorbidity: A Scoping Review.Patient preference and adherence · 2025Review
- Factors Influencing Medication Non-Adherence in Patients with Chronic Diseases and Disabilities: Insights from a National Survey in Indonesia.Patient preference and adherence · 2025Article
- Factors Associated with Health-Seeking Behavior in Indonesia: Evidence from the Indonesian Family Life Survey 2014.Medicina (Kaunas, Lithuania) · 2024Article
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5 authors.
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Abstract
The prevalence of multimorbidity tends to increase with age, but it is now also reported in the middle-aged population, which has a negative impact on healthcare systems and health outcomes. This study aims to analyze the patterns and factors associated with multimorbidity in Indonesia. This national cross-sectional population-based survey used publicly available data from the Indonesian Family Life Survey (IFLS-5) for 2014 among middle-aged (40-59 years old) and elderly (≥ 60 years old) respondents. Information on all chronic diseases was assessed using a self-reported questionnaire. Sociodemographic and health-related behavioral factors were obtained from self-reported data. Binary logistic regression analysis was used to identify the factors associated with multimorbidity. Adjusted odds ratios (AORs) with 95% confidence intervals (CIs) were reported. The study recruited 11,867 respondents. The prevalence of multimorbidity was 18.6% (95% CI 17.9-19.3) with which 15.6% among middle age (95% CI 14.95-16.25) and 24.9% among the elderly (95% CI 24.12-25.68). Hypertension was the most commonly reported disease (23.2%) in all combinations of multimorbidity and among all age groups. Socio-demographic factors: elderly (AOR: 1.66; 95% CI 1.46-1.89), female (AOR: 1.42; 95% CI 1.20-1.69), living in the urban area (AOR: 1.22; 95% CI 1.09-1.38), higher educational level (AOR: 2.49; 95% CI 1.91-3.26), unemployed (AOR: 1.63; 95% CI 1.44-1.84), and higher economic level (AOR: 1.41; 95% CI 1.18-1.68) were associated with multimorbidity. Poor health behavior factors: being former smokers (AOR: 2.03; 95% CI 1.65-2.51) and obesity (AOR: 1.53; 95% CI 1.35-1.75) were also associated with multimorbidity. The prevalence of multimorbidity in the middle-aged and elderly population in Indonesia is relatively high, particularly in populations with poor health behaviors. Therefore, healthcare professionals should integrate more patient-specific factors when designing and implementing tailored interventions to manage multimorbidity in Indonesia.
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