MINI REVIEW article
Front. Public Health
Sec. Disaster and Emergency Medicine
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1673734
Lifestyle and Psychosocial Predictors of Health Resilience Among Indonesian Disaster Preparedness Cadres (TAGANA): A Machine Learning Approach
Provisionally accepted- 1Badan Riset dan Inovasi Nasional Republik Indonesia, Central Jakarta, Indonesia
- 2Sekolah Tinggi Pembangunan Masyarakat Desa APMD, Yogyakarta, Indonesia
- 3Provinsi Kalimantan Selatan, Banjarbaru, Indonesia
- 4Bappeda Kota Magelang, Central Java, Indonesia, Magelang, Indonesia
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This study investigates the determinants of health resilience among TAGANA volunteers in Indonesia using Decision Tree Regression (DTR) and Random Forest Regression (RFR). Data from 200 respondents show that life risk is the most dominant negative factor, while hope healthy acts as a strong protective factor; other variables such as disease history, dynamic experience, and physical-mental balance contribute moderately. RFR outperformed DTR in stability, confirming the robustness of the findings. The results emphasize the need for risk mitigation, psychosocial support, and lifestyle-based interventions, while international best practices provide models for strengthening volunteer resilience. This study contributes evidence-based insights for policy and training frameworks to improve TAGANA's long-term sustainability in disaster response.
Keywords: Disaster Preparedness Cadets, TAGANA, Health resilience, Life risk, healthexpectancy, lifestyle, psychological resilience, volunteer health
Received: 29 Jul 2025; Accepted: 29 Sep 2025.
Copyright: © 2025 Nuryana, Hermawati, Sugiyanto, Adnan, Hidayat, Nainggolan, Sumarno, Murni, Rusmiyati, Jayaputra, Suryani, Setyati, Prasetyo, Saputra and Supratikta. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Andjar Prasetyo, studidaerah@gmail.com
Hadi Supratikta, hadi025@brin.go.id
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