Clustering Community Risk Behaviors for Non-Communicable Diseases in Indonesia: Based on Indonesian Health Survey Data

Authors

Hanif Pandu Suhito, Doctoral of Public Health, Faculty of Medicine, Semarang State University, SemarangFollow
Mahalul Azam, Department of Public Health, Faculty of Medicine, Semarang State University, SemarangFollow
Dina Nur Anggraini Ningrum, Department of Public Health, Faculty of Medicine, Semarang State University, SemarangFollow
Sholikun Sholikun, Department of Health Resource, Semarang City Health Office, SemarangFollow

Abstract

Non-communicable Diseases (NCDs) such as hypertension, stroke, diabetes mellitus, and heart disease are major causes of morbidity and mortality in Indonesia. Community behaviors, including smoking, low physical activity, and unhealthy diets, significantly influence NCD incidence. To analyze associations between behavioral risk factors (daily smoking, physical inactivity, consumption of sugary foods and drinks, salty foods, fatty foods, soft drinks, and inadequate fruit intake) and the prevalence of NCDs, and to classify regions based on risk factors and disease prevalence. A cross-sectional study was conducted using secondary data from the 2023 Indonesian Health Survey (IHS), encompassing 345,000 households across 39 provinces. The Ministry of Health collected the data through standardized interviews and health examinations conducted by trained surveyors. Data analysis employed descriptive statistics, Pearson correlation, and K-Means Clustering. Daily smoking correlated positively with hypertension, stroke, and diabetes. Fatty food consumption showed strong positive associations with the same diseases (r = 0.45–0.48, p < 0.01). Soft drink consumption demonstrated a significant negative correlation, especially with stroke (r = -0.66, p < 0.001). Hypertension (7.2%) and stroke (7.1%) were more prevalent than diabetes (2.0%) and heart disease (0.76%). North Maluku showed the highest behavioral risks, Bali the lowest. DI Yogyakarta and DKI Jakarta had the highest NCD prevalence, while the Papua Mountains had the lowest. K-Means clustering grouped provinces into low, medium, and high-risk clusters. Community behaviors, particularly smoking and fatty food intake, significantly affect NCD prevalence. Public health programs should target smoking cessation, healthy diet promotion, and increased physical activity to reduce the NCD burden.

Recommended Citation

Suhito, Hanif Pandu; Azam, Mahalul; Ningrum, Dina Nur Anggraini; and Sholikun, Sholikun (2025) "Clustering Community Risk Behaviors for Non-Communicable Diseases in Indonesia: Based on Indonesian Health Survey Data," Media Kesehatan Masyarakat Indonesia: Vol. 21: Iss. 3, Article 5.
DOI: 10.30597/mkmi.v21i3.45641
Available at: https://scholarhub.unhas.ac.id/mkmi/vol21/iss3/5

Pages

225-235

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.

Rights

©2025by author

DOI

10.30597/mkmi.v21i3.45641