Social media consumptive and obesity risk the relationship between physical activity and adolescents' digital habits

Authors

  • I Ketut Surata Udayana University, Indonesia, Indonesia Author
  • I Nyoman Sudiksa Udayana University, Indonesia, Indonesia Author
  • I Nyoman Darma Putra Udayana University, Indonesia, Indonesia Author
  • I Nyoman Sunarta Udayana University, Indonesia, Indonesia Author
  • I Gusti Putu Bagus Sasrawan Mananda Udayana University, Indonesia, Indonesia Author

Keywords:

Consumptive, Social Media, Obesity, Physical Activity, Digital Habits

Abstract

The development of digital media has increased adolescents' consumptive patterns through exposure to fast food advertisements and sedentary habits. Preliminary studies showed a correlation between the duration of screen time and an increase in body mass index (BMI) in vocational school adolescents. The aim is to analyze the relationship between social media consumptive activity, physical activity, and adolescent obesity risk through an integrated approach. The study used mixed methods sequential explanatory with a quantitative design (cross-sectional survey on 150 adolescents aged 18 years followed by exploration with (interviews and FGD). Sampling was carried out by stratified random sampling based on vocational education level and gender. Data was collected through the Social Media Intensity Scale questionnaire, BMI measurement, and the International Physical Activity Questionnaire (IPAQ), while qualitative data focused on patterns of interaction with digital content and lifestyle perceptions. Quantitative analysis showed a significant association between social media use of more than 4 hours/day and an increased risk of obesity, mediated by decreased physical activity (β=-0.32, p<0.01) and increased snacking frequency (β=0.27, p<0.05). The findings state that teens are exposed to 5 to 8 food ads per hour when using social media, with 68% of respondents admitting to being impulsive in buying food after seeing promotional content. Social media consumptive plays a role as a predictor of adolescent obesity through dualism, sedentary behavior mechanisms, and unhealthy diets. Policy recommendations include the integration of digital literacy modules in school health curricula and the regulation of fast food advertising on social media use for adolescents.

Keywords: Consumptive, Social Media, Obesity, Physical Activity, Digital Habits.

Downloads

Download data is not yet available.

References

Alexander, E. D., Chung, V. H. A., Yacovelli, A., Sarmiento, I., & Andersson, N. (2024). Social media and postsecondary student adoption of mental health labels: Protocol for a scoping review. BMJ Open, 14(2), 1–5. https://doi.org/10.1136/bmjopen-2023-078193

Andrade, E. D., Bolaños, R. R., Carmona, A. R., Palacios, P. R., Santillán, E. A., Gutiérrez, I. B., Pérez, D. V., & Thrasher, J. F. (2024). Factors Associated with Interpersonal Violence and Depression Symptoms in Adolescent Students from Jalisco during the COVID-19 Pandemic. Salud Mental, 47(5), 249–257. https://doi.org/10.17711/SM.0185-3325.2024.029

Belda-Medina, J., & Calvo-Ferrer, J. R. (2022). Integrating augmented reality in language learning: pre-service teachers’ digital competence and attitudes through the TPACK framework. Education and Information Technologies, 27(9), 12123–12146. https://doi.org/10.1007/s10639-022-11123-3

Chitra, E., Hidayah, N., Chandratilake, M., & Nadarajah, V. D. (2022). Self-Regulated Learning Practice of Undergraduate Students in Health Professions Programs. Frontiers in Medicine, 9(February), 1–11. https://doi.org/10.3389/fmed.2022.803069

Choi, B., Kim, H., & Huh-Yoo, J. (2021). Seeking mental health support among college students in video-based social media: Content and statistical analysis of youtube videos. JMIR Formative Research, 5(11), 1–12. https://doi.org/10.2196/31944

Chowdhury, A. H., Rad, D., & Rahman, M. S. (2024). Predicting anxiety, depression, and insomnia among Bangladeshi university students using tree-based machine learning models. Health Science Reports, 7(4). https://doi.org/10.1002/hsr2.2037

Ehsan, H., Ramakee, A. W., Barakati, T., Yosufi, A., Azimi, S., Aminpoor, H., Eshraqi, A. M., Kamal, F., Ghazanfari, F., Ibrahimkhil, M. A., Nikyar, M. E., & Karimi, A. S. (2024). The Impact of Social Media in Afghanistan: A Multi-Disciplinary Study. Journal of Multidisciplinary Healthcare, 17(July), 3121–3139. https://doi.org/10.2147/JMDH.S468845

Europe, E. (2010). S Ocial and P Olitical C Ontext of a Griculture. 19.

Ji, H. (2024). Applied Mathematics and Nonlinear Sciences A Study on the Construction of Mental Health Indicators for College Students Based. 9(1), 1–18.

Kabir, H., Nasrullah, S. M., Hasan, M. K., Ahmed, S., Hawlader, M. D. H., & Mitra, D. K. (2021). Perceived e-learning stress as an independent predictor of e-learning readiness: Results from a nationwide survey in Bangladesh. PLoS ONE, 16(10 October), 1–18. https://doi.org/10.1371/journal.pone.0259281

Landry, M. J., Bailey, D. A., Lee, M., Van Gundy, S., & Ervin, A. (2022). The Impostor Phenomenon in the Nutrition and Dietetics Profession: An Online Cross-Sectional Survey. International Journal of Environmental Research and Public Health, 19(9). https://doi.org/10.3390/ijerph19095558

Nu Htay, M. N., Parial, L. L., Tolabing, M. C., Dadaczynski, K., Okan, O., Man Leung, A. Y., & Su, T. T. (2022). Digital health literacy, online information-seeking behaviour, and satisfaction of Covid-19 information among the university students of East and South-East Asia. PLoS ONE, 17(4 April), 1–17. https://doi.org/10.1371/journal.pone.0266276

Nuñez Fadda, S. M., Ciambelli Romero, H. C., Gradilla Lizardo, N. S., & Sánchez Castillón, J. A. (2024). An Ecological Inquiry on Young People’s Suicidal Ideation at University: Individual, Relational and Cultural Factors and Their Interactions. European Journal of Investigation in Health, Psychology and Education, 14(1), 64–86. https://doi.org/10.3390/ejihpe14010005

Radovic, A., Li, Y., Landsittel, D., Odenthal, K. R., Stein, B. D., & Miller, E. (2022). A Social Media Website (Supporting Our Valued Adolescents) to Support Treatment Uptake for Adolescents With Depression or Anxiety: Pilot Randomized Controlled Trial. JMIR Mental Health, 9(10). https://doi.org/10.2196/35313

Remskar, M., Western, M. J., Maynard, O. M., & Ainsworth, B. (2022). Exercising body but not mind: A qualitative exploration of attitudes to combining physical activity and mindfulness practice for mental health promotion. Frontiers in Psychology, 13(December), 1–13. https://doi.org/10.3389/fpsyg.2022.984232

Santoro, G., Costanzo, A., Franceschini, C., Lenzo, V., Musetti, A., & Schimmenti, A. (2024). Insecure Minds through the Looking Glass: The Mediating Role of Mentalization in the Relationships between Adult Attachment Styles and Problematic Social Media Use. International Journal of Environmental Research and Public Health, 21(3). https://doi.org/10.3390/ijerph21030255

Selvakumar, V., Venkata, T. P., Venkata, T. P., & Singh, S. (2023). Predicting primary and middle-school students’ preferences for online learning with machine learning. South African Journal of Childhood Education, 13(1), 1–6. https://doi.org/10.4102/sajce.v13i1.1324

Song, X., Han, D., Zhang, J., Fan, J., Ning, P., & Peng, Y. (2024). Study on the impact of COVID-19 pandemic on the mental health of Chinese college students: a cross-sectional analysis. Frontiers in Public Health, 12(April), 1–10. https://doi.org/10.3389/fpubh.2024.1340642

Staccini, P., & Lau, A. Y. S. (2022). Consuming Health Information and Vulnerable Populations: Factors of Engagement and Ongoing Usage. Yearbook of Medical Informatics, 31(1), 173–180. https://doi.org/10.1055/s-0042-1742549

Twardowska-Staszek, E., Rostek, I., Biel, K., & Seredyńska, A. (2021). Predictors of positive and negative emotions experienced by poles during the second wave of the covid-19 pandemic. International Journal of Environmental Research and Public Health, 18(22). https://doi.org/10.3390/ijerph182211993

Downloads

Published

2025-09-05

How to Cite

Social media consumptive and obesity risk the relationship between physical activity and adolescents’ digital habits. (2025). International Journal of Multidisciplinary Research and Creative Innovation Ideas, 1(2), 102-113. https://journal.bizscript-studio.co.id/the-mir-journal/article/view/28