Environmental and Socio-cultural Factors Associated with HIV/AIDS Vulnerability in Gombe State, Nigeria: A Multivariate Factor Analytic Approach
DOI:
https://doi.org/10.70882/josrar.2026.v3i5.305Keywords:
HIV/AIDS, Environmental factors, Socio-cultural factors, Exploratory factor analysisAbstract
HIV/AIDS remains a significant public health challenge in sub-Saharan Africa, where vulnerability profiles are shaped by environmental and socio-cultural settings. This paper investigates environmental and socio-cultural variables linked to HIV/AIDS vulnerability in Gombe State, Nigeria, using exploratory factor analysis. A cross-sectional design with purposive sampling was employed, involving 384 participants’ people living with HIV and medical practitioners—across the 11 Local Government Areas (LGAs). Data were collected electronically via Kobo Toolbox and analysed using descriptive statistics, Kaiser-Meyer-Olkin (KMO) measure, Bartlett's test of sphericity, maximum-likelihood exploratory factor analysis, and Cronbach's alpha. HIV prevalence in 2024 ranged from 0.29 to 8.89 per 10,000 population across LGAs. KMO values were 0.56 (environmental) and 0.58 (socio-cultural), indicating weak but acceptable sampling adequacy. The Kaiser criterion retained four environmental factors (eigenvalues > 1) explaining 48.75% of total variance, and four socio-cultural factors explaining 52.34%. Environmental loadings included climate, safe drinking water, noise pollution, sanitation, and greenery; socio-cultural loadings included cultural beliefs, condom attitudes, media exposure, community support, and gender roles. Cronbach's alpha was low for both domains (0.386 and 0.373), indicating heterogeneity among dimensions rather than a homogeneous construct. The findings support multi-dimensional frameworks for HIV prevention that integrate environmental and socio-cultural factors alongside biomedical interventions.
References
Airhihenbuwa, C. O., Okoror, T. A., Shefer, T., Brown, D., Iwelunmor, J., Smith, E., Adam, M., Simbayi, L., Zungu, N., Dlakulu, R., & Shisana, O. (2009). Stigma, culture, and HIV and AIDS in the Western Cape, South Africa: An application of the PEN-3 cultural model for community-based research. Journal of Black Psychology, 35(4), 407–432. https://doi.org/10.1177/0095798409333621
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
Awofala, A. A., & Ogundele, O. E. (2018). HIV epidemiology in Nigeria. Annals of Global Health, 84(4), 681–695. https://doi.org/10.29024/aogh.2388
Bandura, A. (2004). Health promotion by social cognitive means. Health Education & Behavior, 31(2), 143–164. https://doi.org/10.1177/1090198104263660
Bartlett, M. S. (1954). A note on the multiplying factors for various chi square approximations. Journal of the Royal Statistical Society: Series B (Methodological), 16(2), 296–298. https://doi.org/10.1111/j.2517-6161.1954.tb00174.x
Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). SAGE Publications.
Folorunso, S. A., Adebayo, A. M., & Oluwaseun, T. (2019). Spatial analysis of potable water as a risk factor for HIV/AIDS spread in Ekiti State, Nigeria. Journal of Environmental Health Research, 27(3), 183–196.
Gupta, G. R., Parkhurst, J. O., Ogden, J. A., Aggleton, P., & Mahal, A. (2008). Structural approaches to HIV prevention. The Lancet, 372(9640), 764–775. https://doi.org/10.1016/S0140-6736(08)60887-9
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson.
Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20(1), 141–151. https://doi.org/10.1177/001316446002000116
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36. https://doi.org/10.1007/BF02291575
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308
Mahajan, A. P., Sayles, J. N., Patel, V. A., Remien, R. H., Sawires, S. R., Ortiz, D. J., Szekeres, G., & Coates, T. J. (2008). Stigma in the HIV/AIDS epidemic: A review of the literature and recommendations for the way forward. AIDS, 22(Suppl 2), S67–S79. https://doi.org/10.1097/01.aids.0000327438.13291.62
National Agency for the Control of AIDS. (2021). Nigeria HIV/AIDS report. https://naca.gov.ng
Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill.
Okolie, C. E., Uchegbu, A. E., & Bello, A. I. (2020). Geospatial analysis of HIV prevalence in Nigeria: Identifying and mapping hotspots for effective interventions. Journal of Geographic Information and Public Health, 2(1), 15–25.
Parker, R., & Aggleton, P. (2003). HIV and AIDS-related stigma and discrimination: A conceptual framework and implications for action. Social Science & Medicine, 57(1), 13–24. https://doi.org/10.1016/S0277-9536(02)00304-0
UNAIDS. (2023). Global AIDS update 2023: The path that ends AIDS. https://www.unaids.org
World Bank. (2020). Health systems in Africa. https://www.worldbank.org
World Health Organization. (2022). HIV/AIDS fact sheet. https://www.who.int
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Copyright (c) 2026 Bello Muhammad Yahaya, Aliyu Umar Shelleng, Alaba Lamidi Sarumoha (Author)

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