IDEAS home Printed from https://ideas.repec.org/a/ibn/gjhsjl/v12y2020i1p9.html
   My bibliography  Save this article

Socio-Economic Determinants of HIV-Malaria Co-Infection among Adults in the North Central Zone, Nigeria

Author

Listed:
  • Omotayo S. Alaofin
  • Kantharuben Naidoo
  • Wilbert Sibanda

Abstract

Background- Globally, Human Immunodeficiency Virus, and malaria co-infection are responsible for high rates of disease and death predominantly in sub-Saharan Africa. However, the relationship between the socio-economic determinants of the human immunodeficiency virus and malaria co-infection has not been established. Therefore, this study aims to determine the socio-economic variables associated with human immunodeficiency virus and malaria co-infection among adults in peri-urban secondary hospitals in the North Central Zone, Nigeria. Method- A retrospective descriptive cross-sectional study was carried out among human immunodeficiency virus-positive patients at six selected peri-urban secondary hospital facilities in the North Central Zone, Nigeria. Continuos variable was compared using the student t-test, or Wilcoxon test, while the categorical variable was compared using Chi-square and Fisher’s exact test. The significance level was kept at p 0.05. Results- This study showed that patients of 61 years and above, those between 18 and 30 years of age are at risk of HIV/malaria co-infection RR 1.09 (0.92 - 1.31) and (95% CI), 1.02 (0.96 - 1.08). A significant relationship was reported between the likelihood of co-infection and education (p = 0.023), residence (p = 0.001), employment, (p < 0.001) and income (p < 0.001). Similarly, the highest proportion of malaria diagnosis 547 (80.9%) was among the un-employed patient’s contrary to the least proportion reported among employed patients 84 (68.3%). Using a logistic regression model, it was noted that the proportion of co-infection among HIV seropositive patients is negatively associated with their income. Conclusion- Findings from this study revealed a strong association between socio-economic variables and HIV/malaria co-infection among the study population. These socio-economic variables could serve as an essential indicator in any proposed intervention programme and could help to predict future co-infection rates in regions where both infectious diseases are dominant.

Suggested Citation

  • Omotayo S. Alaofin & Kantharuben Naidoo & Wilbert Sibanda, 2020. "Socio-Economic Determinants of HIV-Malaria Co-Infection among Adults in the North Central Zone, Nigeria," Global Journal of Health Science, Canadian Center of Science and Education, vol. 12(1), pages 1-9, January.
    • Handle: RePEc:ibn:gjhsjl:v:12:y:2020:i:1:p:9
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/gjhs/article/download/0/0/41624/43458
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/gjhs/article/view/0/41624
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lance Lochner, 2010. "Non-Production Benefits of Education: Crime, Health and Good Citizenship," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20107, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kai Hong & Peter A. Savelyev & Kegon T. K. Tan, 2020. "Understanding the Mechanisms Linking College Education with Longevity," Journal of Human Capital, University of Chicago Press, vol. 14(3), pages 371-400.
    2. Pedro Albarran Pérez & Marisa Hidalgo Hidalgo & Iñigo Iturbe-Ormaetxe Kortajarene, 2017. "Schooling and adult health: Can education overcome bad early-life conditions?," Working Papers. Serie AD 2017-09, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    3. Colombo, Emilio & Rotondi, Valentina & Stanca, Luca, 2018. "Macroeconomic conditions and health: Inspecting the transmission mechanism," Economics & Human Biology, Elsevier, vol. 28(C), pages 29-37.
    4. Dodin, Majed & Findeisen, Sebastian & Henkel, Lukas & Sachs, Dominik & Schüle, Paul, 2024. "Social mobility in Germany," Journal of Public Economics, Elsevier, vol. 232(C).
    5. Michael Keane & Elena Capatina & Shiko Maruyama, 2019. "Health Shocks and the Evolution of Earnings over the Life-Cycle," Discussion Papers 2018-14a, School of Economics, The University of New South Wales.
    6. Blomquist, Glenn C. & Coomes, Paul A. & Jepsen, Christopher & Koford, Brandon C. & Troske, Kenneth R., 2014. "Estimating the social value of higher education: willingness to pay for community and technical colleges," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 5(1), pages 3-41, January.
    7. Ylenia Brilli & Marco Tonello, 2015. "The contemporaneous effect of education on adolescent crime. Mechanisms and evidence from regional divides," CHILD Working Papers Series 41 JEL Classification: I2, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
    8. Stephen Machin & Olivier Marie & Sunčica Vujić, 2011. "The Crime Reducing Effect of Education," Economic Journal, Royal Economic Society, vol. 121(552), pages 463-484, May.
    9. Steve Brito & Ana Corbacho & Rene Osorio Rivas, 2014. "Remittances and the Impact on Crime in Mexico," IDB Publications (Working Papers) 85093, Inter-American Development Bank.
    10. Giorgio Brunello & Margherita Fort & Nicole Schneeweis & Rudolf Winter‐Ebmer, 2016. "The Causal Effect of Education on Health: What is the Role of Health Behaviors?," Health Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 314-336, March.
    11. Johnston, David W. & Lordan, Grace & Shields, Michael A. & Suziedelyte, Agne, 2015. "Education and health knowledge: Evidence from UK compulsory schooling reform," Social Science & Medicine, Elsevier, vol. 127(C), pages 92-100.
    12. Paul Verstraten, 2018. "The scope of the external return to higher education," CPB Discussion Paper 381.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    13. Rasmus Landersø & Helena Skyt Nielsen & Marianne Simonsen, 2017. "School Starting Age and the Crime‐age Profile," Economic Journal, Royal Economic Society, vol. 127(602), pages 1096-1118, June.
    14. Wang, Chuhong & Liu, Xingfei & Yan, Zizhong & Zhao, Yi, 2022. "Higher education expansion and crime: New evidence from China," China Economic Review, Elsevier, vol. 74(C).
    15. Stephen Machin & Sandra McNally & Jenifer Ruiz-Valenzuela, 2023. "School qualifications and youth custody," CEP Occasional Papers 57, Centre for Economic Performance, LSE.
    16. Ylenia Brilli & Marco Tonello, 2018. "Does Increasing Compulsory Education Decrease or Displace Adolescent Crime? New Evidence from Administrative and Victimization Data," CESifo Economic Studies, CESifo Group, vol. 64(1), pages 15-49.
    17. Rivera-Garrido, Noelia, 2022. "Can education reduce traditional gender role attitudes?," Economics of Education Review, Elsevier, vol. 89(C).
    18. Lawson, Nicholas, 2015. "Social program substitution and optimal policy," Labour Economics, Elsevier, vol. 37(C), pages 13-27.
    19. James J. Heckman & John Eric Humphries & Gregory Veramendi, 2018. "Returns to Education: The Causal Effects of Education on Earnings, Health, and Smoking," Journal of Political Economy, University of Chicago Press, vol. 126(S1), pages 197-246.
    20. Hofmarcher, Thomas, 2021. "The effect of education on poverty: A European perspective," Economics of Education Review, Elsevier, vol. 83(C).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:gjhsjl:v:12:y:2020:i:1:p:9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.