Social Media and Eating Disorders among University Students in Langata Sub-County, Nairobi County-Kenya

Dr. Obino Mulenga, Dr. Pius Mausa and Daniel Nyangoya
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Dr. Obino Mulenga: Department of Counseling Psychology-The Catholic University of Eastern Africa
Dr. Pius Mausa: Department of Counseling Psychology- Tangaza University
Daniel Nyangoya: PhD Candidate-Counseling Psychology- The Catholic University of Eastern Africa

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 3, 500-521

Abstract: With the increase in technology and the proliferation of social media applications in the rise globally with a significant number of that population comprising of university students. Eating habits have also changed among university students, and while researchers have explored many causes of eating disorders, the correlation between social media use and eating disorders has been scantly addressed. This study explored the relationship between social media usage and eating disorders among university students in Langata Sub-county, Nairobi, Kenya. With the rise of social media usage, students increasingly turn to these platforms for academic, social, entertainment and information purposes, often replacing traditional face-to-face interactions. The study aimed to examine three key aspects of social media usage: frequency, forms, and functions, and how they relate to eating disorders. The objectives were to determine the relationship between the frequency of social media use, the specific platforms used, and their functions, alongside proposing strategies to mitigate the social media usage among university students to minimize eating disorders. Grounded in Social Comparison Theory and Uses and Gratification Theory, the study adopted a mixed-methods approach through a sequential explanatory research design. This study targeted 14,081 university students, with a sample size of 282. Quantitative data was collected using questionnaires and analyzed descriptively and inferentially using SPSS version 26, while qualitative data was collected using interview guides and analyzed thematically. Results obtained for Not at all showed a weak, non-significant negative correlation (-.123, p = .059), Less than 1 Hour gave negative correlation (-.194, p = .003,1 to 3 Hours showed a weak positive and significant correlation (.020, p = .767), 3 to 5 Hours gave a significant positive correlation (.230, p = .000) and More than 5 Hours gave a moderate positive correlation (.457, p

Date: 2025
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