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Logistic Regression on Effects of Relationship Between Condom Use on Comprehensive HIV Knowledge Among the Youths in Kenya

Received: 9 July 2019    Accepted: 31 July 2019    Published: 13 August 2019
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Abstract

HIV/AIDS knowledge in Kenya is universal in that 99% of both male and female have heard of the epidemic and how it can be avoided. Despite the widespread knowledge of HIV/AIDS, comprehensive HIV knowledge which refers to one being able to correctly identify the modes of HIV transmission and reject the most common misconception about HIV transmission among the youths, is just above average, 65% for males and 54% for females. There seems to be lack of information on the effects of the determinants of comprehensive HIV knowledge among the youths. This study, using KDHS 2014 data, investigates the effect of the relationship between condoms use and comprehensive HIV knowledge among the youths in Kenya. A logistic regression model is used to explore the effects of relationship between condoms usage and comprehensive HIV knowledge among the youths. Comprehensive HIV knowledge among the youths aged 15-19 was 12.9% while those aged 20-24 was 87.1% and on average 55.5%. Significant association was found between consistent use of condoms during the first sexual intercourse and comprehensive HIV knowledge with a p-value < 0.001. 78.8% of the youths consistently use condoms during their first sexual intercourse. Interestingly, results showed that condoms use have no effect on comprehensive HIV knowledge which means there are other factors that influence comprehensive HIV knowledge that seems to suppress the effect of condoms use. Nevertheless, much intervention among the youths aged 15-19 should be considered to increase the level of comprehensive HIV knowledge. Further research need to be conducted to determine the effect of the relationships between other correlates of comprehensive HIV knowledge among the youths in Kenya.

Published in Biomedical Statistics and Informatics (Volume 4, Issue 1)
DOI 10.11648/j.bsi.20190401.12
Page(s) 10-14
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), 2024. Published by Science Publishing Group

Keywords

HIV/AIDS, Comprehensive HIV Knowledge, Logistic Regression, Youth

References
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[2] Hammarskjold, Bertil. E (2000). HIV/AIDS in the World Today. Sweden: Swedish International Development Cooperation Agency.
[3] UNAIDS, (2018). Global HIV & AIDS Statistics.
[4] UNAIDS, (2018). Kenya AIDS Response Progress Report 2018. Kenya, UNAIDS.
[5] NACC, (2014). Kenya AIDS Progress Report 2014. Kenya, UNAIDS.
[6] NACC, (2016). Kenya AIDS Response Progress Report. Kenya, UNAIDS.
[7] NACC, (2015). Kenya Demographic Health Survey 2014. Kenya, UNAIDS.
[8] Yared A., Mekuria M., and Sahile, Z. (2015). Comprehensive HIV/AIDS knowledge and sexual behavior among University students in Ambo, Central Ethiopia: Implication to improve intervention. Journal of Sexually Transmitted Disease, 2015.
[9] Minet Th., Eyasu, H. T., Simon A. G., Afewerki, W. T., Henok, K. A. and Russom, T., (2016). Associates of comprehensive HIV/AIDS knowledge and acceptance attitude among male youth age 15-24. Comparison study among Ivory Coast Cameroon and Gabon. Journal of AIDS and Clinical Research.
[10] Boncocan A. R., Nelson M. L. G., Kabamalan, M. M., Cruz, P. J. C. (2016). Comprehensive knowledge of HIV/AIDS among MIMAROPA Youth in Philippines. Working Paper Series No. 4238 / 7.
[11] Ochako, R., Ulwodi, D. (2011). Trends and Determinants of Comprehensive HIV/AIDS knowledge among urban young women in Kenya. AIDS Research and Therapy.
[12] Oljira, L. Berhane, Y. and Worku, A. (2013) Assessment of Comprehensive HIV/AIDS knowledge level among In-School adolescents in Eastern Ethiopia. Journal of International AIDS Society.
[13] Ankunda R., Atuyambe L. M. and Kiwanuka N., (2016). Sexual risk related behavior among youth living with HIV in central Uganda: Implication for HIV prevention. The Pan African Medical Journal, 2016, 24: 49.
[14] Oginni A. B., Adebajo S. B. and Ahonsi B. A (2017). Trends and Determinants of Comprehensive HIV among Adolescents and Young Adults in Nigeria 2003-2013. African Journal of Reproductive Health.
[15] Ankunda D. and Asiimwe J. B (2017). Determinants of Comprehensive Knowledge of HIV/AIDS among Women of Reproductive age (15-49) in Uganda. Journal of Community Medicine and Public Health, (2017).
[16] Teshome R., Youjie W., Habts E. and KasmM. N (2016). Comparison and Association of Comprehensive HIV/AIDS knowledge and attitudes towards people living with HIV among women aged 15-49 in three East African countries Ethiopia, Burundi and Kenya. Journal of AIDS and Clinical Research.
[17] Lammers J., Wijnbergen V. S and Willebrands D. (2011). Gender Differences, HIV risk perception and condom use. Lagos.
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  • APA Style

    Kenneth Kipkorir Terer, Reuben Langat, Joyce Otieno. (2019). Logistic Regression on Effects of Relationship Between Condom Use on Comprehensive HIV Knowledge Among the Youths in Kenya. Biomedical Statistics and Informatics, 4(1), 10-14. https://doi.org/10.11648/j.bsi.20190401.12

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    ACS Style

    Kenneth Kipkorir Terer; Reuben Langat; Joyce Otieno. Logistic Regression on Effects of Relationship Between Condom Use on Comprehensive HIV Knowledge Among the Youths in Kenya. Biomed. Stat. Inform. 2019, 4(1), 10-14. doi: 10.11648/j.bsi.20190401.12

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    AMA Style

    Kenneth Kipkorir Terer, Reuben Langat, Joyce Otieno. Logistic Regression on Effects of Relationship Between Condom Use on Comprehensive HIV Knowledge Among the Youths in Kenya. Biomed Stat Inform. 2019;4(1):10-14. doi: 10.11648/j.bsi.20190401.12

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  • @article{10.11648/j.bsi.20190401.12,
      author = {Kenneth Kipkorir Terer and Reuben Langat and Joyce Otieno},
      title = {Logistic Regression on Effects of Relationship Between Condom Use on Comprehensive HIV Knowledge Among the Youths in Kenya},
      journal = {Biomedical Statistics and Informatics},
      volume = {4},
      number = {1},
      pages = {10-14},
      doi = {10.11648/j.bsi.20190401.12},
      url = {https://doi.org/10.11648/j.bsi.20190401.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20190401.12},
      abstract = {HIV/AIDS knowledge in Kenya is universal in that 99% of both male and female have heard of the epidemic and how it can be avoided. Despite the widespread knowledge of HIV/AIDS, comprehensive HIV knowledge which refers to one being able to correctly identify the modes of HIV transmission and reject the most common misconception about HIV transmission among the youths, is just above average, 65% for males and 54% for females. There seems to be lack of information on the effects of the determinants of comprehensive HIV knowledge among the youths. This study, using KDHS 2014 data, investigates the effect of the relationship between condoms use and comprehensive HIV knowledge among the youths in Kenya. A logistic regression model is used to explore the effects of relationship between condoms usage and comprehensive HIV knowledge among the youths. Comprehensive HIV knowledge among the youths aged 15-19 was 12.9% while those aged 20-24 was 87.1% and on average 55.5%. Significant association was found between consistent use of condoms during the first sexual intercourse and comprehensive HIV knowledge with a p-value < 0.001. 78.8% of the youths consistently use condoms during their first sexual intercourse. Interestingly, results showed that condoms use have no effect on comprehensive HIV knowledge which means there are other factors that influence comprehensive HIV knowledge that seems to suppress the effect of condoms use. Nevertheless, much intervention among the youths aged 15-19 should be considered to increase the level of comprehensive HIV knowledge. Further research need to be conducted to determine the effect of the relationships between other correlates of comprehensive HIV knowledge among the youths in Kenya.},
     year = {2019}
    }
    

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    AU  - Kenneth Kipkorir Terer
    AU  - Reuben Langat
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    AB  - HIV/AIDS knowledge in Kenya is universal in that 99% of both male and female have heard of the epidemic and how it can be avoided. Despite the widespread knowledge of HIV/AIDS, comprehensive HIV knowledge which refers to one being able to correctly identify the modes of HIV transmission and reject the most common misconception about HIV transmission among the youths, is just above average, 65% for males and 54% for females. There seems to be lack of information on the effects of the determinants of comprehensive HIV knowledge among the youths. This study, using KDHS 2014 data, investigates the effect of the relationship between condoms use and comprehensive HIV knowledge among the youths in Kenya. A logistic regression model is used to explore the effects of relationship between condoms usage and comprehensive HIV knowledge among the youths. Comprehensive HIV knowledge among the youths aged 15-19 was 12.9% while those aged 20-24 was 87.1% and on average 55.5%. Significant association was found between consistent use of condoms during the first sexual intercourse and comprehensive HIV knowledge with a p-value < 0.001. 78.8% of the youths consistently use condoms during their first sexual intercourse. Interestingly, results showed that condoms use have no effect on comprehensive HIV knowledge which means there are other factors that influence comprehensive HIV knowledge that seems to suppress the effect of condoms use. Nevertheless, much intervention among the youths aged 15-19 should be considered to increase the level of comprehensive HIV knowledge. Further research need to be conducted to determine the effect of the relationships between other correlates of comprehensive HIV knowledge among the youths in Kenya.
    VL  - 4
    IS  - 1
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Author Information
  • Department of Mathematics and Computer Science, University of Kabianga, Kericho, Kenya

  • Department of Mathematics and Computer Science, University of Kabianga, Kericho, Kenya

  • Department of Applied Statistics and Actuarial Science, Maseno University, Maseno, Kenya

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