| Peer-Reviewed

The Effect of HIV Related Risk Factors on HIV Status: A Case of Gamo-Gofa Free Standing Voluntary Counseling and Testing Center

Received: 28 July 2018     Accepted: 17 October 2018     Published: 12 November 2018
Views:       Downloads:
Abstract

HIV/AIDS is a major development concern in many countries and is destroying the lives and livelihoods of many people around the world. This study is aimed to assess the demographic and HIV related risk behavior factors that may affect HIV status of the visitors of VCT centers. A cross sectional study was conducted in Gamo-Gofa districts, Southern Nations Nationalities and Peoples Regional State of Ethiopia. A total of 4028 sample were selected using stratified random sampling technique. Data were collected with a designed questionnaire from 20 voluntary counseling and testing center of the districts. If the clients visit VCT center is HIV-infected, it is categorized as HIV positive and if the client test is indicated not HIV-infected, then the visitor categorized as HIV negative status. The Binary logistic regression model was used to analyze the data using the SPSS software. The results of the study revealed that the probability of an individual being HIV positive was 0.0286 and the predictor’s variables age, marriage status, education level, alcohol use, knowledge about HIV, monthly income, condom use and residence of the individual were significantly effect on being HIV-positive. Health professionals and responsible bodies should work on these significant variables to reduce the probability of being HIV positive.

Published in Science Journal of Applied Mathematics and Statistics (Volume 6, Issue 4)
DOI 10.11648/j.sjams.20180604.14
Page(s) 130-134
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

HIV, Logistic Regression, VCT

References
[1] UNAIDS/WHO.2010. AIDS Epidemic Update. Washington D. C., USA: USAID.
[2] UNAIDS 2011 World AIDS Day report.
[3] Beegle, K., De Weerdt, J., Dercon, S. (2008). “Adult mortality and consumption growth in the age of HIV/AIDS.
[4] Franklin Simtowe, and Kinkingninhoun-Medagbe F. M (2011): The impact of HIV/AIDS on labor markets, productivity and welfare in Southern Africa, African Journal of Agricultural Research Vol. 6(10), pp. 2118-2131.
[5] Mmbaga, E. J., G. H. Leyna, K. S. Mnyika, A. Hussain, and K. I. Klepp. 2007c. "Education Attainment and the Risk of HIV-1 Infections in Rural Kilimanjaro Region of Tanzania.
[6] World Health Organization. HIV/AIDS Testing and Counseling. http://www. who. int/hiv/topics/vct/en. Accessed March5, 2012. Kilimanjaro region of Tanzania: Implications for prevention and treatment.
[7] Agresti A. An Introduction to Categorical Data Analysis. 3rd ed. New York: John Wiley and Sons Inc.; 1996.
[8] Bewick et al., (2005). Introduction. Logistic regression provides a method for modelling a binary response variable.
[9] Hargreaves JR, H. L., 2010. Changes in HIV prevalence among differently educated groups in Tanzania between 2003 and 2007.
[10] Da Ros, C. & Da Silva Schmitt, C., 2008. Global epidemiology of sexually transmitted diseases, Asian Journal of Andrology. Asian Journal of Andrology, 10(1), pp. 110-114.
[11] Central Statistical Agency, 2011. Ethiopia Demographic and Health Survey, Addis Ababa: USAID.
[12] Bradley, H. et al., 2007. Educational Attainment and HIV Status among Ethiopian Voluntary Counseling and Testing Clients. AIDS and Behavior, 11(5), pp. 736-742. g.
Cite This Article
  • APA Style

    Tesfahun Zewde Legisso, Markos Abiso Erango. (2018). The Effect of HIV Related Risk Factors on HIV Status: A Case of Gamo-Gofa Free Standing Voluntary Counseling and Testing Center. Science Journal of Applied Mathematics and Statistics, 6(4), 130-134. https://doi.org/10.11648/j.sjams.20180604.14

    Copy | Download

    ACS Style

    Tesfahun Zewde Legisso; Markos Abiso Erango. The Effect of HIV Related Risk Factors on HIV Status: A Case of Gamo-Gofa Free Standing Voluntary Counseling and Testing Center. Sci. J. Appl. Math. Stat. 2018, 6(4), 130-134. doi: 10.11648/j.sjams.20180604.14

    Copy | Download

    AMA Style

    Tesfahun Zewde Legisso, Markos Abiso Erango. The Effect of HIV Related Risk Factors on HIV Status: A Case of Gamo-Gofa Free Standing Voluntary Counseling and Testing Center. Sci J Appl Math Stat. 2018;6(4):130-134. doi: 10.11648/j.sjams.20180604.14

    Copy | Download

  • @article{10.11648/j.sjams.20180604.14,
      author = {Tesfahun Zewde Legisso and Markos Abiso Erango},
      title = {The Effect of HIV Related Risk Factors on HIV Status: A Case of Gamo-Gofa Free Standing Voluntary Counseling and Testing Center},
      journal = {Science Journal of Applied Mathematics and Statistics},
      volume = {6},
      number = {4},
      pages = {130-134},
      doi = {10.11648/j.sjams.20180604.14},
      url = {https://doi.org/10.11648/j.sjams.20180604.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20180604.14},
      abstract = {HIV/AIDS is a major development concern in many countries and is destroying the lives and livelihoods of many people around the world. This study is aimed to assess the demographic and HIV related risk behavior factors that may affect HIV status of the visitors of VCT centers. A cross sectional study was conducted in Gamo-Gofa districts, Southern Nations Nationalities and Peoples Regional State of Ethiopia. A total of 4028 sample were selected using stratified random sampling technique. Data were collected with a designed questionnaire from 20 voluntary counseling and testing center of the districts. If the clients visit VCT center is HIV-infected, it is categorized as HIV positive and if the client test is indicated not HIV-infected, then the visitor categorized as HIV negative status. The Binary logistic regression model was used to analyze the data using the SPSS software. The results of the study revealed that the probability of an individual being HIV positive was 0.0286 and the predictor’s variables age, marriage status, education level, alcohol use, knowledge about HIV, monthly income, condom use and residence of the individual were significantly effect on being HIV-positive. Health professionals and responsible bodies should work on these significant variables to reduce the probability of being HIV positive.},
     year = {2018}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - The Effect of HIV Related Risk Factors on HIV Status: A Case of Gamo-Gofa Free Standing Voluntary Counseling and Testing Center
    AU  - Tesfahun Zewde Legisso
    AU  - Markos Abiso Erango
    Y1  - 2018/11/12
    PY  - 2018
    N1  - https://doi.org/10.11648/j.sjams.20180604.14
    DO  - 10.11648/j.sjams.20180604.14
    T2  - Science Journal of Applied Mathematics and Statistics
    JF  - Science Journal of Applied Mathematics and Statistics
    JO  - Science Journal of Applied Mathematics and Statistics
    SP  - 130
    EP  - 134
    PB  - Science Publishing Group
    SN  - 2376-9513
    UR  - https://doi.org/10.11648/j.sjams.20180604.14
    AB  - HIV/AIDS is a major development concern in many countries and is destroying the lives and livelihoods of many people around the world. This study is aimed to assess the demographic and HIV related risk behavior factors that may affect HIV status of the visitors of VCT centers. A cross sectional study was conducted in Gamo-Gofa districts, Southern Nations Nationalities and Peoples Regional State of Ethiopia. A total of 4028 sample were selected using stratified random sampling technique. Data were collected with a designed questionnaire from 20 voluntary counseling and testing center of the districts. If the clients visit VCT center is HIV-infected, it is categorized as HIV positive and if the client test is indicated not HIV-infected, then the visitor categorized as HIV negative status. The Binary logistic regression model was used to analyze the data using the SPSS software. The results of the study revealed that the probability of an individual being HIV positive was 0.0286 and the predictor’s variables age, marriage status, education level, alcohol use, knowledge about HIV, monthly income, condom use and residence of the individual were significantly effect on being HIV-positive. Health professionals and responsible bodies should work on these significant variables to reduce the probability of being HIV positive.
    VL  - 6
    IS  - 4
    ER  - 

    Copy | Download

Author Information
  • Department of Statistics, Arba Minch University, Arba Minch, Ethiopia

  • Department of Statistics, Arba Minch University, Arba Minch, Ethiopia

  • Sections