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Predictors of Mental Health Literacy and Information Seeking Behavior Toward Mental Health Among University Students in Resource-Limited Settings

BACKGROUND: This paper investigated mental health literacy level and information seeking behavior, and mental health-related information sources in limited-resource settings, in the case of Ethiopian university students. METHODS: A cross-sectional, self-administered web-based survey was conducted am...

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Detalles Bibliográficos
Autores principales: Tariku Seboka, Binyam, Hailegebreal, Samuel, Negash, Misrak, Mamo, Tizalegn Tesfaye, Ali Ewune, Helen, Gilano, Girma, Yehualashet, Delelegn Emwodew, Gizachew, Gelila, Demeke, Abel Desalegn, Worku, Aynadis, Endashaw, Habtamu, Kassawe, Chalachew, Amede, Endris Seid, Kassa, Reta, Tesfa, Getanew Aschalew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664927/
https://www.ncbi.nlm.nih.gov/pubmed/36389023
http://dx.doi.org/10.2147/IJGM.S377791
Descripción
Sumario:BACKGROUND: This paper investigated mental health literacy level and information seeking behavior, and mental health-related information sources in limited-resource settings, in the case of Ethiopian university students. METHODS: A cross-sectional, self-administered web-based survey was conducted among Dilla University students, from 1 January to 29 February 2022, with a total of 780 respondents. We presented descriptive statistics using mean, standard deviations, and proportions. Bivariate and multivariate logistic regression were employed to identify factors associated with mental health literacy and information seeking behavior of students. Further, path analysis was also employed. RESULTS: The result showed 71 (9.1%) respondents had a diagnosed history of mental illness. Overall, 397 (50.9%) respondents were identified as having adequate mental health literacy and 420 (53.8%) sought mental health information. In multivariate analysis, mental health literacy was significantly associated with: being female (AOR = 2.8; 95% CI (1.5–5.4)), higher digital health literacy (AOR=2.8; 95% CI (1.5–5.4), seeking mental health-related information (AOR=1.6; 95% CI: (1.1–2.5)), having family with mental illness, and students in health-related programs (AOR = 2.1; 95% CI (1.0–4.2)). Furthermore, health-related programs, level of mental health literacy, exposure to mental health problems in the family, and were associated with information seeking behavior regarding mental health. Further, path analysis revealed significant positive associations of information seeking behavior and digital health literacy with mental health literacy. CONCLUSION: The result indicated the status of university students’ mental health literacy level and information seeking behavior were low and inadequate. This study suggests the need to improve students’ digital health competencies by designing mental health literacy programs by collaboration of different stakeholders, and mental health literacy programs need to optimize access to internet and online resources in the university settings.