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All Journal Jurnal Keperawatan Padjadjaran Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal) Jurnal Ilmu Kesehatan Bhakti Husada: Health Sciences Journal Risenologi Indonesian Journal of Global Health research Jurnal Ilmiah Keperawatan Altruistik Jurnal Health Sains Journal of Nursing Practice and Education Journal of Language and Health JHeS (Journal of Health Studies) Research Horizon Jurnal Health Society Jurnal Ilmiah Keperawatan Altruistik Journal of Public Health Indonesian
Abdul Rahman La Ede
Sekolah Tinggi Ilmu Kesehatan Sukabumi
Arts Humanities Chemistry Dentistry Economics, Econometrics & Finance Education Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary

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Digital Food Environments and Hidden Obesity Risk Among Urban Youth: a Mixed-Methods Study Isah Fitriani; Abdul Rahman La Ede; Azizatul Hamidiyah
Journal of Public Health Indonesian Vol. 2 No. 5 (2026): JANUARY-JHH
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/3zndn159

Abstract

The development of digital technology has transformed the urban food environment through the increased use of food delivery apps and exposure to digital food promotions, potentially posing latent health risks to young people. This study aimed to analyze the relationship between the digital food environment and the risk of latent obesity among urban youth using a mixed methods approach. A sequential explanatory design was implemented with a quantitative phase involving 240 young people aged 18–30 years, followed by a qualitative phase through in-depth interviews with high-risk participants. Quantitative data were collected through body composition measurements and a digital food environment exposure questionnaire, then analyzed using multivariate statistics. The results showed that 34.6% of respondents with a normal body mass index (BMI) experienced latent obesity, and exposure to a high digital food environment significantly increased the risk of latent obesity. Qualitative findings revealed the normalization of high-calorie food consumption in digital spaces, efficiency-based rationalizations, and low awareness of latent obesity. The integration of findings indicates that the digital food environment not only influences consumption patterns but also shapes youth's perceptions and behavioral justifications. This study confirms that the digital food environment is a structural determinant of latent obesity risk, necessitating prevention strategies that include digital health literacy, regulation of online food promotions, and the use of more comprehensive health indicators.
Social capital and community disaster resilience in a disaster-prone area in Indonesia Johan Budhiana; Rosliana Dewi; Iwan Permana; Nurvita Trianasari; Waqid Sanjaya; Abdul Rahman La Ede; Dedi Wahyudin
Jurnal Keperawatan Padjadjaran Vol. 14 No. 1 (2026): Jurnal Keperawatan Padjadjaran
Publisher : Faculty of Nursing Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkp.v14i1.2962

Abstract

Introduction: Communities in disaster-prone areas face repeated exposure to natural hazards, yet the role of social capital in enhancing disaster resilience is underexplored in Indonesia. Objective: This study aimed to examine the relationship between dimensions of social capital—social cohesion, social participation, and reciprocity—and community disaster resilience in Sukabumi, West Java. Methods: A cross-sectional survey was conducted among 700 residents aged ≥18 years using an online questionnaire. Disaster resilience was measured with the Brief Resilience Scale, and social capital with validated subscales. Multiple linear regression analyzed associations between social capital and resilience. Results: Older age, higher education, experience of housing damage (22.4%), loss of friends or relatives (44.6%), and higher levels of social cohesion, participation, and reciprocity were significantly associated with greater disaster resilience (all p<0.05). The regression model explained 56% of the variance (R²=0.56). Conclusion: Social capital is a significant predictor of community disaster resilience in high-risk areas. These findings can guide health professionals, especially nurses, to design targeted interventions for disaster preparedness and long-term recovery.
Co-Authors Aura Putri Alleyda Azizatul Hamidiyah Budhiana, Johan Dedi Wahyudin Desi Riska Yulianti Suandi Fatmala, Syiva Dwi Ghulam Ahmad Hadi, Muhammad Ida Ida Ida Ida, Ida Ika Tarwiyah Indah Dwiya Ningrum Isah Fitriani Iyam Mariam Iyam Mariam Iyam Mariam Johan Budhiana Lia Novianty Lia Noviyanti Maria Yulianti, Maria Melinda, Fera Nisa Fajriah Nurhali, Muhammad Ramli Nurul Novtiana Sabilah Nurvita Trianasari Permana, Iwan Rakanda Putra Waliyu Rima Novianti Utami Robi Marta Dipura Rohadi haryanto Rosliana Dewi Sanjaya, Waqid Sri Janatri Thahira Nasagi Rosa Affandi Wahyudin, Dedi Waqid Sanjaya Waqid Sanjaya Woro Rahmanishati Yohan Frans Unmehopa Zeini Wahida, Astri