Understanding the Decline of HIV Incidence: Insights from Structural Equation Modeling of Social and Biological Factors
Year 2026,
Volume: 18 Issue: 1, 6 - 16, 24.03.2026
Oluwasegun Olawale Benjamin
Gbenga Wilfred Akinola
Gloria Nnadwa Alhassan
Abstract
Aim: Nigeria ranks among the countries with a high burden of Human Immunodeficiency Virus (HIV), though national incidence and prevalence have declined in recent years. Ekiti State has consistently shown lower HIV rates compared to other regions, but the specific drivers of this perceived decline remain underexplored. This study aimed to identify the key social, behavioral, and biological factors contributing to the declining HIV incidence in Ekiti State, Nigeria, using Structural Equation Modelling (SEM).
Material and Methods: A cross-sectional survey was conducted from January to March 2023 among 448 knowledgeable informants (health professionals from state and local AIDS control agencies, medical personnel, and students). Data on perceived HIV incidence and contributing factors were collected via a structured questionnaire. Confirmatory Factor Analysis and SEM were performed using AMOS software to test hypothesized paths from latent constructs (social factors, e.g., condom promotion and education campaigns; sexual behavioral factors, e.g., reductions in concurrent partners; biological factors, e.g., antiretroviral therapy access and STI reductions) to perceived declining incidence.
Results: Social (β = 0.356, p < 0.001) and biological (β = 0.309, p < 0.001) factors were significantly associated with perceived decline in HIV incidence, while sexual behavioral factors were not (β = 0.019, p > 0.05). The model demonstrated good fit (CFI = 0.987, RMSEA = 0.030, χ²/df = 1.389).
Conclusion: The perceived reduction in HIV incidence in Ekiti State is primarily associated with social and biological interventions. These findings highlight the value of integrated public health approaches and support efforts toward Sustainable Development Goal 3 (Good health and well-being).
Ethical Statement
This study was conducted in full compliance with the ethical principles outlined in the Declaration of Helsinki. Ethical approval was obtained from the Ethical and Legal Review Committee (ELRC) of the Federal University Oye-Ekiti, Nigeria, with approval number ELRC/SOS/002.
All participants involved in the study provided written informed consent prior to their inclusion. The research team ensured that participant confidentiality, data protection, and ethical conduct were upheld throughout the research process, in line with the university’s research ethics policy.
Supporting Institution
We hereby declare that there is no form of funding received for this study.
Thanks
The authors do not wish to acknowledge any individual or institution.
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Year 2026,
Volume: 18 Issue: 1, 6 - 16, 24.03.2026
Oluwasegun Olawale Benjamin
Gbenga Wilfred Akinola
Gloria Nnadwa Alhassan
References
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-
10. Kagaayi J, Chang LW, Ssempijja V, Grabowski MK, Ssekubugu R, Nakigozi G, et al. Impact of combination HIV interventions on HIV incidence in hyperendemic fishing communities in Uganda: a prospective cohort study. Lancet HIV. 2019;6(10):e680-7. doi:10.1016/S2352-3018(19)30190-0.
-
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-
12. Pettifor A, MacPhail C, Hughes JP, Selin A, Wang J, Gómez-Olivé FX, et al. The effect of a conditional cash transfer on HIV incidence in young women in rural South Africa (HPTN 068): a phase 3, randomised controlled trial. Lancet Glob Health. 2016;4(12):e978-88. doi:10.1016/S2214-109X(16)30253-4.
-
13. Borgdorff MW, Kwaro D, Obor D, Otieno G, Kamire V, Odongo F, et al. HIV incidence in western Kenya during scale-up of antiretroviral therapy and voluntary medical male circumcision: a population-based cohort analysis. Lancet HIV. 2018;5(5):e241-9. doi:10.1016/S2352-3018(18)30025-0.
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14. Chen Y, Li AD, Yang Y, Lu J, Xu Y, Ji X, et al. Global, regional and national burden of HIV/AIDS among individuals aged 15-79 from 1990 to 2021. AIDS Res Ther. 2025;22(1):51. doi:10.1186/s12981-025-00745-5.
-
15. U.S. Centers for Disease Control and Prevention. HIV declines among young people and drives overall decrease in new HIV infections [Internet]. 2023 [cited 2025 December 26]. Available from:
https://www.cdc.gov/media/releases/2023/p0523-hiv-declines-among-young-people.html
-
16. Grabowski MK, Serwadda DM, Gray RH, Nakigozi G, Kigozi G, Kagaayi J, et al. HIV prevention efforts and incidence of HIV in Uganda. N Engl J Med. 2017;377(22):2154-66. doi:10.1056/NEJMoa1702150.
-
17. Grilo SA, Thompson J, Chen IS, Nalugoda F, Lutalo T, Wei Y, et al. Declines in HIV incidence and prevalence and predictors among adolescents and young adults: an observational cohort study, Rakai, Uganda, 2005-2020. medRxiv [Preprint]. 2025; 2025.01.07.25320118. doi:10.1101/2025.01.07.25320118.
-
18. Mhlanga L, Welte A, Grebe E, Ohler L, van Cutsem G, Huerga H, et al. Evidence of HIV incidence reduction in young women, but not in adolescent girls, in KwaZulu-Natal, South Africa. IJID Reg. 2023;8:111-7. doi:10.1016/j.ijregi.2023.07.004.
-
19. Hayes RJ, Donnell D, Floyd S, Mandla N, Bwalya J, Sabapathy K, et al. Effect of universal testing and treatment on HIV incidence—HPTN 071 (PopART). N Engl J Med. 2019;381(3):207-18. doi:10.1056/NEJMoa1814556.
-
20. McClelland RS, Richardson BA, Cherutich P, Mandaliya K, John-Stewart G, Miregwa B, et al. A 15-year study of the impact of community antiretroviral therapy coverage on HIV incidence in Kenyan female sex workers. AIDS. 2015;29(17):2279-86. doi:10.1097/QAD.0000000000000829.
-
21. UNAIDS. Understanding measures of progress towards the 95–95–95 HIV testing, treatment and viral suppression targets [Internet]. 2023 [cited 2025 December 23]. Available from: https://www.unaids.org/sites/default/files/media_asset/progress-towards-95-95-95_en.pdf
-
22. Jones J, Sullivan PS, Curran JW. Progress in the HIV epidemic: Identifying goals and measuring success. PLoS Med. 2019;16(1):e1002729. doi:10.1371/journal.pmed.1002729.
-
23. Alamer A. Structural equation modeling (SEM) in L2 writing research: simple tutorial and useful recommendations. Research Methods in Applied Linguistics. 2025;4(2):100202. doi:10.1016/j.rmal.2025.100202.
-
24. Hargreaves JR, Delany-Moretlwe S, Hallett TB, Johnson S, Kapiga S, Bhattacharjee P, et al. The HIV prevention cascade: integrating theories of epidemiological, behavioural, and social science into programme design and monitoring. Lancet HIV. 2016;3(7):e318-22. doi:10.1016/S2352-3018(16)30063-7.
-
25. Cochran WG. Sampling techniques. 3rd ed. New York: John Wiley & Sons; 1977.
-
26. Daniel WW, Cross CL. Biostatistics: a foundation for analysis in the health sciences. 11th ed. New York: John Wiley & Sons; 2018.
-
27. Hair Jr JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis. 7th ed. New Jersey: Prentice Hall; 2011.
-
28. Kline, RB. Principles and practice of structural equation modeling. 3rd ed. New York: The Guilford Press; 2011.
-
29. Whittle R, Mansell G, Jellema P, van der Windt D. Applying causal mediation methods to clinical trial data: what can we learn about why our interventions (don't) work? Eur J Pain. 2017;21(4):614-22. doi:10.1002/ejp.964.
-
30. Tabachnick BG, Fidell LS. Using multivariate statistics. 5th ed. New York: Allyn & Bacon/Pearson Education; 2007.
-
31. Pervan M, Curak M, Pavic Kramaric T. The influence of industry characteristics and dynamic capabilities on firms’ profitability. Int J Financial Stud. 2018;6(1):4. doi:10.3390/ijfs6010004.
-
32. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research. 1981;18(1):39-50. doi:10.2307/3151312.
-
33. Loverock A, Benny C, Smith BT, Siddiqi A, Pabayo R. Income inequality and deaths of despair risk in Canada, identifying possible mechanisms. Soc Sci Med. 2024;344:116623. doi:10.1016/j.socscimed.2024.116623.
-
34. Byrne, BM. Structural equation modelling with AMOS: basic concepts, applications, and programming. 3rd ed. New York: Routledge; 2016.
-
35. Gefen D, Straub D, Boudreau MC. Structural equation modeling and regression: guidelines for research practice. Communications of the Association for Information Systtems. 2000;4(1):7. doi:10.17705/1CAIS.00407.
-
36. Lei PW, Wu Q. Introduction to structural equation modeling: Issues and practical considerations. Educational Measurement: Issues and Practice. 2007;26(3):33-43. doi:10.1111/j.1745-3992.2007.00099.x.
-
37. Koropp C, Kellermanns FW, Grichnik D, Stanley L. Financial decision making in family firms: an adaptation of the theory of planned behavior. Family Business Review. 2014;27(4):307-27. doi:10.1177/0894486514522.
-
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