Scoring System for Predicting Breast Cancer Risk Among Women in Regions with Limited Healthcare Infrastructure in Indonesia

Nindrea, Ricvan Dana; Novera, Milya; Syahrial, Syahrial; Avilla, Nabil Aresto; Putri, Fanisha Anugrah Rahmadhani

doi:10.31557/APJCP.2026.27.4.1459

Scoring System for Predicting Breast Cancer Risk Among Women in Regions with Limited Healthcare Infrastructure in Indonesia

Document Type : Research Articles

Authors

¹ Department of Medicine, Faculty of Medicine, Universitas Negeri Padang, Bukittinggi, Indonesia.

² Department of Nursing, Faculty of Psychology and Health Sciences, Universitas Negeri Padang, Padang, Indonesia.

³ Department of Nutrition, Faculty of Public Health, Universitas Andalas, Padang, Indonesia.

10.31557/APJCP.2026.27.4.1459

Abstract

Objective: Breast cancer (BC) remains the most common malignancy and a leading cause of cancer-related mortality among Indonesian women, with many cases detected at advanced stages due to limited screening and healthcare resources. Existing risk prediction models, developed in Western populations, may not adequately capture locally relevant determinants. Methods: A hospital-based case–control study was conducted at a national referral hospital in West Sumatra, Indonesia. A total of 250 histologically confirmed BC cases and 250 age-matched controls were enrolled. Data on reproductive, familial, and lifestyle factors were collected using structured questionnaires and medical records. Logistic regression was applied to identify significant predictors, which were then integrated into a scoring system. The discriminatory ability was assessed using receiver operating characteristic (ROC) analysis. Results: Significant predictors of BC included late menopause (≥50 years; adjusted OR 4.50), first pregnancy at ≥30 years (AOR 2.70), family history of BC (first-degree AOR 30.22; second-degree AOR 3.82), short breastfeeding duration (<12 months; AOR 41.24), long-term oral contraceptive use (≥12 months; AOR 1.94), overweight (AOR 2.37), obesity (AOR 3.94), high-fat diet (AOR 25.75), low physical activity (AOR = 14.29), moderate physical activity (AOR = 4.08). The scoring system, with a maximum score of 18, demonstrated excellent predictive accuracy (AUC 0.907; 95% CI: 0.879–0.931). A cut-off score >5 provided optimal sensitivity (84%) and specificity (80%). Conclusion: The proposed scoring system offers a practical, context-specific tool for early risk assessment of breast cancer in Indonesian women, particularly in regions with limited healthcare infrastructure. Its implementation may support targeted screening and resource allocation.

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