Unravelling the Cognitive and Emotional Drivers of Alcohol Consumption among Adolescents in Namibian Secondary Schools.
Authors
Africa Research University, Lusaka, Zambia (Zambia)
Africa Research University, Lusaka, Zambia (Zambia)
Article Information
DOI: 10.47772/IJRISS.2025.91100284
Subject Category: Development Economics
Volume/Issue: 9/11 | Page No: 3633-3640
Publication Timeline
Submitted: 2025-11-10
Accepted: 2025-11-20
Published: 2025-12-08
Abstract
Adolescent alcohol use has become an emerging psychosocial concern across Namibia, reflecting the interplay between cognitive vulnerabilities, emotional distress, and permissive socio-cultural environments. This study examined the psychological and emotional mechanisms driving alcohol consumption among secondary school learners, drawing on the integrated perspectives of social cognitive and ecological theories. Employing a sequential explanatory mixed-methods design, quantitative data were collected from 250 adolescents in five schools across the Ohangwena Region, followed by qualitative interviews with 41 educational professionals. Statistical analysis revealed that low self-efficacy and high perceived stress were significant predictors of alcohol use, jointly explaining 35% of the variance in consumption frequency. Qualitative narratives illuminated that adolescents often consume alcohol to regulate stress, achieve social inclusion, and express emerging adult identities within communities where drinking is culturally normalized. Peer encouragement, family modelling, and easy accessibility to informal alcohol markets further reinforced these behaviors. The findings suggest that adolescent drinking in Namibian secondary schools is less a product of moral deviance and more a cognitive-emotional adaptation to psychosocial strain and social conformity. Interventions must therefore transcend awareness campaigns and emphasize emotional literacy, stress-coping skills, and resilience-building within school and community contexts. By unravelling the cognitive and affective drivers of youth alcohol use, this study contributes a contextually grounded understanding that can inform culturally responsive prevention frameworks for adolescent well-being in sub-Saharan Africa.
Keywords
Adolescent alcohol use; Cognitive determinants; Emotional regulation
Downloads
References
1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T [Google Scholar] [Crossref]
2. Babor, T. F., Higgins-Biddle, J. C., Saunders, J. B., & Monteiro, M. G. (2001). AUDIT: The Alcohol Use Disorders Identification Test: Guidelines for use in primary care (2nd ed.). World Health Organization. [Google Scholar] [Crossref]
3. Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman. [Google Scholar] [Crossref]
4. Braun, V., & Clarke, V. (2021). One size fits all? What counts as quality practice in (reflexive) thematic analysis? Qualitative Research in Psychology, 18(3), 328–352. https://doi.org/10.1080/14780887.2020.1769238 [Google Scholar] [Crossref]
5. Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Harvard University Press. [Google Scholar] [Crossref]
6. Cochran, W. G. (1977). Sampling techniques (3rd ed.). John Wiley & Sons. [Google Scholar] [Crossref]
7. Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396. https://doi.org/10.2307/2136404 [Google Scholar] [Crossref]
8. Cooper, M. L., Russell, M., Skinner, J. B., & Windle, M. (1992). Development and validation of a three-dimensional measure of drinking motives. Psychological Assessment, 4(2), 123–132. https://doi.org/10.1037/1040-3590.4.2.123 [Google Scholar] [Crossref]
9. Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE Publications. [Google Scholar] [Crossref]
10. Ebrahim, J., Doku, P., & Blankson, A. (2024). Substance use among young people in sub-Saharan Africa: A systematic review. Frontiers in Psychiatry, 15, 1328318. https://doi.org/10.3389/fpsyt.2024.1328318 [Google Scholar] [Crossref]
11. Erikson, E. H. (1968). Identity: Youth and crisis. W. W. Norton. [Google Scholar] [Crossref]
12. Fetters, M. D., Curry, L. A., & Creswell, J. W. (2013). Achieving integration in mixed methods designs—Principles and practices. Health Services Research, 48(6 Pt 2), 2134–2156. https://doi.org/10.1111/1475-6773.12117 [Google Scholar] [Crossref]
13. Freeman, B., Kapuire, V., & Malan, J. (2022). Alcohol consumption and youth behavior in Namibia: Cultural continuity and health risk. African Journal of Social Sciences, 12(3), 45–62. [Google Scholar] [Crossref]
14. Guest, G., Namey, E., & Chen, M. (2020). A simple method to assess and report thematic saturation in qualitative research. PLOS ONE, 15(5), e0232076. https://doi.org/10.1371/journal.pone.0232076 [Google Scholar] [Crossref]
15. Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational Researcher, 33(7), 14–26. https://doi.org/10.3102/0013189X033007014 [Google Scholar] [Crossref]
16. Kabiru, C. W., Beguy, D., Undie, C.-C., Zulu, E., & Ezeh, A. (2010). Self-reported drunkenness among adolescents in four sub-Saharan African countries. Child and Adolescent Psychiatry and Mental Health, 4(17). https://doi.org/10.1186/1753-2000-4-17 [Google Scholar] [Crossref]
17. Livingston, M., Callinan, S., & Raninen, J. (2021). Longitudinal patterns of adolescent drinking and alcohol-related harm. Addiction, 116(9), 2398–2408. https://doi.org/10.1111/add.15478 [Google Scholar] [Crossref]
18. Mathibe, M., Cele, L., & Modjadji, P. (2023). Alcohol use among high school learners in peri-urban South Africa: Accessibility, motivations and effects. PLOS ONE, 18(9), e0289897. https://doi.org/10.1371/journal.pone.0289897 [Google Scholar] [Crossref]
19. Pokothoane, R., Motseki, T., & Mthembu, P. (2025). Factors associated with alcohol, cigarette and other drug use among adolescents in Africa. BMJ Open, 15(7), e089096. https://doi.org/10.1136/bmjopen-2024-e089096 [Google Scholar] [Crossref]
20. Republic of Namibia. (2018). National Alcohol Policy. Ministry of Health and Social Services. [Google Scholar] [Crossref]
21. Schwarzer, R., & Jerusalem, M. (1995). Generalized self-efficacy scale. In J. Weinman, S. Wright, & M. Johnston (Eds.), Measures in health psychology: A user’s portfolio. Causal and control beliefs (pp. 35–37). NFER-NELSON. [Google Scholar] [Crossref]
22. Steinberg, L. (2014). Age of opportunity: Lessons from the new science of adolescence. Houghton Mifflin Harcourt. [Google Scholar] [Crossref]
23. Traditional Leaders’ Perspectives on the Risk Factors of Alcohol Abuse Amongst the Youth in Oshikango in the Ohangwena Region of Namibia. (2022). Journal of Economic Theory and Control Studies, 28(1), 676–690. [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Financial Development, Foreign Direct Investment and Economic Productivity Nexus in Nigeria
- Symbolic Regression for Approximating Analytic Solutions to Differential Equations
- Micro-Credentials in TVET: An Analysis of Trainers’ Perceptions, Challenges, and Benefits in Bridging Skill Gaps in Tertiary Education
- Moneyge It: A Mobile Application for Shared Expense Tracking
- Revisiting the Inflation–Growth Nexus: Evidence from Malaysia Using OLS Estimation