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Kathy, C and Niranjali, J. (2010).Catchment process affecting drinking water quality, including the significance of rainfall events, using factor analysis and event mean concentrations.Journal of Water and Health 8(4), 751-763.

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Article

Principal Component Analysis of Factors Affecting CD 4 Count Level of HIV/AIDS Patients at Mainland Hospital Yaba, Lagos Nigeria

1Department of Statistic, Yaba College of Technology, Lagos, Nigeria

2Department of Geography and Planning, Lagos State University, Lagos Nigeria

3Department of Computer Technology, Yaba College of Technology, Lagos, Nigeria

4Department of Statistics, Federal Polytechnic Ede, Osun State, Nigeria


American Journal of Medical Sciences and Medicine. 2016, Vol. 4 No. 1, 11-16
DOI: 10.12691/ajmsm-4-1-3
Copyright © 2016 Science and Education Publishing

Cite this paper:
Aromolaran A. D., Akoteyon I. S., Akinwole A. K, Agbona A.. Principal Component Analysis of Factors Affecting CD 4 Count Level of HIV/AIDS Patients at Mainland Hospital Yaba, Lagos Nigeria. American Journal of Medical Sciences and Medicine. 2016; 4(1):11-16. doi: 10.12691/ajmsm-4-1-3.

Correspondence to: Aromolaran  A. D., Department of Statistic, Yaba College of Technology, Lagos, Nigeria. Email: adeyemi.aromolaran@gmail.com

Abstract

This work highlights the importance of CD4 counts in the study and management of HIV/AIDS. Data for the study were obtained through the use of 29 items structured questionnaire administered on 200 volunteered HIV/AIDS patients at Lagos Mainland Hospital Yaba, Lagos, Nigeria. The variables identified for the study were categorised into demographic characteristics (educational level, marital status, age and gender) and some selected HIV/AIDS administrative variable (HIV/AIDS confirmation period, type of antiretroviral drug being used, duration of use of antiretroviral administration, and nature of patient job).Kaiser–Meyer–Olkin (KMO) test of sampling adequacy was conducted which gave a coefficient of 0.650 and Bartlett’s test or sphericity of Chi-square p-value 0.00 indicating that the variables are correlated enough to provide reasonable basis for factor analysis. Correlation test was conducted to ensure non existence of multicolinearity among the components by correlation matrix and the components found to have high correlation coefficient had one removed. A principal component analysis was performed to determine the principal components among the identified components. Findings from total variance explained and the screen plot identified four components (type of antiretroviral drug being taken, duration of HIV/AIDS confirmation, duration of antiretroviral drug application, patient age,) as the principal components to the determination of CD4 count in HIV/AIDS patients at the hospital. The study recommended that HIV/AIDs patients should be encouraged to commence early application of antiretroviral drug once traces of HIV/AIDS is detected, and that research should be intensified on the efficiency level of the different antiretroviral drug in the different patient.

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