The Impact of Demographic and Risk Behavioural Factors on the Prevalence of HIV/AIDS in Butajira, Ethiopia
American Journal of Theoretical and Applied Statistics
Volume 6, Issue 2, March 2017, Pages: 100-107
Received: Nov. 12, 2016;
Accepted: Feb. 27, 2017;
Published: Mar. 18, 2017
Views 1601 Downloads 76
Kassaye Wudu Seid, Department of Statistics, Arba Minch University, Arba Minch, Ethiopia
Yoseph Tadesse Dessie, Department of Statistics, Arba Minch University, Arba Minch, Ethiopia
Follow on us
The study aims at describing the impacts of some demographic and risk behavior factors. The data for this study were taken from Butajira Hospital and data were analyzed using SPSS. In this study, chi square test of association is employed to test the association between determinant factors and the prevalence of HIV/AIDS in Butajira, Ethiopia. The result indicates all the proposed variables have significant association with prevalence of HIV/AIDS. Finally a binary logistic regression model is adopted for the analysis of the impact of demographic and HIV related risk factors on client’s status with HIV/AIDS. The result revealed that, client’s age, marital status, education level, occupation, suspected exposure time and condom use found to be significant at 5% significance level, indicating strong effects on prevalence of HIV/AIDS. The probability that an adult in this age groups 24-31, 32-45 and more than 46 years are 1.26 times (odds=1.26), 2.864 times (odds=2.864) 3.945 times (odds=3.945) more likely than those individuals aged between 16 and 23. Educational levels of clients have a significant influence on HIV infection (p value <0.05), as the result individuals who enrolled in secondary education level are more affected than those other individuals (i.e. Odds =1.227). It was also observed that those clients who had no sexual practices in the past are less likely to be infected by HIV/AIDS than those clients had sexual practice before (odds 0.453).
HIV/AIDS, Binary Logistic Regression Analysis, Butajira Hospital, Ethiopia
To cite this article
Kassaye Wudu Seid,
Yoseph Tadesse Dessie,
The Impact of Demographic and Risk Behavioural Factors on the Prevalence of HIV/AIDS in Butajira, Ethiopia, American Journal of Theoretical and Applied Statistics.
Vol. 6, No. 2,
2017, pp. 100-107.
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
J. G. Laah and E. Ayiwulu. Socio-Demographic Characteristics of Patients Diagnosed withHIV/AIDS in NasarawaEggon. AJMS 2010; 2 (3): 114-120.
Derek P et. al. UNAIDS Second Independent Evaluation: A Country Visit to Ethiopia, Summary Report. Geneva, Switzerland; 2008.
Collet D. Modeling Binary data. Second edition Chapman and Hall: London; 1991.
Scott W. Menard. Applied Logistic Regression Analysis. Second edition, Sage: USA; 1997.
Agresti, A. An Introduction to categorical data Analysis. Second edition, John Wiley and Sons: New York; 1996.
Hosmer, D and Lemeshow, S. Applied Logistic Regression. First edition, John Wiley and Sons: New York; 1989.
Hosmer D and Lemeshow S. Applied Logistic Regression. Second edition, John Wiley and Sons: New York; 2000.
Connel A. A. Logistic Regression Models for Ordinal Response Variables. Second edition, Sage: Thousand Oaks; 2006.
Long, J. S. (1997). Regression Models for Categorical and Limited Dependent Variables. Thousand Oaks, CA: Sage.
Renata Karina Reis et al. Factors associated with inconsistent condom use among people living with HIV/Aids 2016; 69 (1): 40-46.