Background: Socio-culturally determined processes account for how individuals give meanings to health, illness, causal attributions, expectations from treatment, and related outcomes. There is limited evidence of explanatory models for mental distress among higher education institutions in Ethiopia. The objective of this study was to explore the explanatory models for mental distress among Wolaita Sodo University. Methods: The current study used a phenomenological research approach, and we collected data from 21 students. The participants were purposively recruited based on eligibility criteria. Semi-structured interviews were conducted from December 2017 to January 2018 using the Short Explanatory Models Interview. The interviews were audio-recorded, tran-scribed into the Amharic language and translated into English. Data were analyzed using framework analysis with the assistance of open code software 4.02. Results: Most students experienced symptoms of being anxious, fatigue, headaches and feelings of hopelessness. They labeled these symptoms like anxiety or stress. The most commonly reported causal explanations were psychosocial factors. Students perceived that their anxiety or stress was severe that mainly affected their mind, which in turn impacted their interactions with others, academic result, emotions and motivation to study. Almost all the students received care from informal sources, although they wanted to receive care from mental health professionals. They managed their mental distress using positive as well as negative coping strategies. Conclusion: The policy implication of our findings is that mental health interventions in higher education institutions in Ethiopia should take into account the explanatory models of students’ psychological distress.
CITATION STYLE
Negash, A., Ahmed, M., Medhin, G., Wondimagegn, D., Pain, C., & Araya, M. (2021). Explanatory models for mental distress among university students in ethiopia: A qualitative study. Psychology Research and Behavior Management, 14, 1901–1913. https://doi.org/10.2147/PRBM.S338319
Mendeley helps you to discover research relevant for your work.