Digital Food Environments and Hidden Obesity Risk Among Urban Youth: a Mixed-Methods Study
DOI:
https://doi.org/10.62872/3zndn159Keywords:
Digital Food Environment, Hidden Obesity, Urban YouthAbstract
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.
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Eskandari, F., Lake, A. A., Rose, K., Butler, M., & O'Malley, C. (2022). A mixed‐method systematic review and meta‐analysis of the influences of food environments and food insecurity on obesity in high‐income countries. Food science & nutrition, 10(11), 3689-3723.
Krupsky, K. L., Parrott, A., Andridge, R., Zvara, B. J., Keim, S. A., & Anderson, S. E. (2021). A mixed methods analysis of environmental and household chaos: considerations for early-childhood obesity research. BMC Public Health, 21(1), 1867.
D’Hooghe, S., Inaç, Y., De Clercq, E., Deforche, B., Dury, S., Vandevijvere, S., ... & De Ridder, K. (2022). The CIVISANO protocol: a mixed-method study about the role of objective and perceived environmental factors on physical activity and eating behavior among socioeconomically disadvantaged adults. Archives of Public Health, 80(1), 219.
Barua, S., & Saikia, N. (2022). Perception, risk factors, and health behaviours in adult obesity in Kolkata, India: a mixed methods approach. BMC Public Health, 22(1), 2376.
Elgaard Jensen, T., Kleberg Hansen, A. K., Ulijaszek, S., Munk, A. K., Madsen, A. K., Hillersdal, L., & Jespersen, A. P. (2019). Identifying notions of environment in obesity research using a mixed‐methods approach. Obesity Reviews, 20(4), 621-630.
Serrano-Gonzalez, M., Triedman, M., Mandapati, A., Tanzer, J. R., Rosen, R., Jelalian, E., & Jandasek, B. The Development of a Mindful Eating App for Adolescents Through Mixed-Methods Feedback from Adolescents with Overweight or Obesity. Frontiers in Adolescent Medicine, 3, 1667649.
Santoso, H. T., Felmidi, F. A., Fadhila, A. N., Ristyawan, A., & Daniati, E. (2024, July). Analisis Kinerja Algoritma Data Mining pada Klasifikasi Tingkat Obesitas dengan K-Fold Cross Validation dan AUC. In Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) (Vol. 8, No. 1, pp. 113-122).
Faturrizky, I., Rahadi, R., & Untsa, S. A. (2022). Application Of Weight Stabilization Detector Health As Prevention Of Obesity In Indonesia Using The Gamification Method. Change Think Journal, 1(02), 188-202.
Alpiansah, A. B., & Ramdhani, Y. (2023). Optimasi fitur dengan forward selection pada estimasi tingkat obesitas menggunakan Random Forest. Sistemasi: Jurnal Sistem Informasi, 12(3), 860-873.
Aini, E. D. N., Khasanah, R. A., Ristyawan, A., & Diniati, E. (2024, July). Penggunaan Data Mining untuk Prediksi tingkat Obesitas di Meksiko Menggunakan Metode Random Forest. In Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) (Vol. 8, No. 3, pp. 1256-1265).
Thahir, A. I. A., & Masnar, A. (2021). Obesitas Anak dan Remaja: Faktor Risiko, Pencegahan, dan Isu Terkini. Edugizi Pratama Indonesia.
Theodorakis, N., & Nikolaou, M. (2025). The human energy balance: Uncovering the hidden variables of obesity. Diseases, 13(2), 55.
Kalra, S., Arora, S., & Kapoor, N. (2023). Hidden Obesity. JPMA. The Journal of the Pakistan Medical Association, 73(4), 937-938.
Tomos, I., Skourlis, N., Vourli, G., Peppa, E., & Trichopoulou, A. (2025). The impact of obesity on COPD development: unveiling the hidden risks. Expert Review of Respiratory Medicine, (just-accepted).
Dargenio, V. N., Sgarro, N., La Grasta, G., Begucci, M., Castellaneta, S. P., Dargenio, C., ... & Cristofori, F. (2025). Hidden Hunger in Pediatric Obesity: Redefining Malnutrition Through Macronutrient Quality and Micronutrient Deficiency. Nutrients, 17(22), 3601.
Liu, H., Chen, S., Ji, H., & Dai, Z. (2023). Effects of time-restricted feeding and walking exercise on the physical health of female college students with hidden obesity: a randomized trial. Frontiers in Public Health, 11, 1020887.
Vieira, F. T., Godziuk, K., Barazzoni, R., Batsis, J. A., Cederholm, T., Donini, L. M., ... & Prado, C. M. (2025). Hidden malnutrition in obesity and knee osteoarthritis: Assessment, overlap with sarcopenic obesity and health outcomes. Clinical Nutrition, 48, 111-120.
Anriyani, F., Syafei, A., & Dewi, N. S. (2024). Determinan Kejadian Obesitas Pada Remaja. Innovative: Journal Of Social Science Research, 4(3), 17154-17171.
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Copyright (c) 2026 Isah Fitriani, Inaya Nur Aini, azizatul hamidiyah (Author)
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
