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A population-based study of Kaposi Sarcoma-associated herpesvirus seropositivity in Uganda using principal components analysis
BACKGROUND: Kaposi sarcoma-associated herpesvirus (KSHV) seropositivity is associated with sexual, environmental, and socioeconomic exposures. Whether these characteristics are independent risk factors is uncertain because of reliance on selected high-risk or hospital-based populations and incomplet...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599442/ https://www.ncbi.nlm.nih.gov/pubmed/23324546 http://dx.doi.org/10.1186/1750-9378-8-3 |
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author | Chang, Joanne T Shebl, Fatma M Pfeiffer, Ruth M Biryahwaho, Benon Graubard, Barry I Mbulaiteye, Sam M |
author_facet | Chang, Joanne T Shebl, Fatma M Pfeiffer, Ruth M Biryahwaho, Benon Graubard, Barry I Mbulaiteye, Sam M |
author_sort | Chang, Joanne T |
collection | PubMed |
description | BACKGROUND: Kaposi sarcoma-associated herpesvirus (KSHV) seropositivity is associated with sexual, environmental, and socioeconomic exposures. Whether these characteristics are independent risk factors is uncertain because of reliance on selected high-risk or hospital-based populations and incomplete adjustment for confounding. Therefore, we evaluated risk factors for KSHV seropositivity in a population-based study in Uganda using principal components analysis (PCA). METHODS: The study population comprised 2,681 individuals randomly selected from a nationally-representative population-based HIV/AIDS sero-behavioral survey conducted in 2004/05. Questionnaire and laboratory data (97 variables) were transformed into a smaller set of uncorrelated variables using PCA. Multivariable logistic regression models were fitted to estimate odds ratios and 95% confidence intervals for the association between components and KSHV seropositivity. RESULTS: Data were reduced to three principal components (PCs) labeled as Sexual behavioral, Socioeconomic, and Knowledge PCs. In crude analysis, KSHV seropositivity was associated with the Knowledge (p(trend) = 0.012) and Socioeconomic components (p(trend) = 0.0001), but not with the Sexual-behavioral component (p(trend) = 0.066). KSHV seropositivity was associated with the Socioeconomic PC (p(trend) = 0.037), but not with the Sexual-behavioral and Knowledge PCs, in the models including PCs, age, gender and geographic region. CONCLUSIONS: Our results fit with the view that in Uganda socioeconomic characteristic may influence KSHV seropositivity. Conversely, the results fit with the interpretation that in Uganda sexual-behavioral characteristics, if relevant, contribute minimally. |
format | Online Article Text |
id | pubmed-3599442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35994422013-03-17 A population-based study of Kaposi Sarcoma-associated herpesvirus seropositivity in Uganda using principal components analysis Chang, Joanne T Shebl, Fatma M Pfeiffer, Ruth M Biryahwaho, Benon Graubard, Barry I Mbulaiteye, Sam M Infect Agent Cancer Research Article BACKGROUND: Kaposi sarcoma-associated herpesvirus (KSHV) seropositivity is associated with sexual, environmental, and socioeconomic exposures. Whether these characteristics are independent risk factors is uncertain because of reliance on selected high-risk or hospital-based populations and incomplete adjustment for confounding. Therefore, we evaluated risk factors for KSHV seropositivity in a population-based study in Uganda using principal components analysis (PCA). METHODS: The study population comprised 2,681 individuals randomly selected from a nationally-representative population-based HIV/AIDS sero-behavioral survey conducted in 2004/05. Questionnaire and laboratory data (97 variables) were transformed into a smaller set of uncorrelated variables using PCA. Multivariable logistic regression models were fitted to estimate odds ratios and 95% confidence intervals for the association between components and KSHV seropositivity. RESULTS: Data were reduced to three principal components (PCs) labeled as Sexual behavioral, Socioeconomic, and Knowledge PCs. In crude analysis, KSHV seropositivity was associated with the Knowledge (p(trend) = 0.012) and Socioeconomic components (p(trend) = 0.0001), but not with the Sexual-behavioral component (p(trend) = 0.066). KSHV seropositivity was associated with the Socioeconomic PC (p(trend) = 0.037), but not with the Sexual-behavioral and Knowledge PCs, in the models including PCs, age, gender and geographic region. CONCLUSIONS: Our results fit with the view that in Uganda socioeconomic characteristic may influence KSHV seropositivity. Conversely, the results fit with the interpretation that in Uganda sexual-behavioral characteristics, if relevant, contribute minimally. BioMed Central 2013-01-16 /pmc/articles/PMC3599442/ /pubmed/23324546 http://dx.doi.org/10.1186/1750-9378-8-3 Text en Copyright ©2013 Chang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Chang, Joanne T Shebl, Fatma M Pfeiffer, Ruth M Biryahwaho, Benon Graubard, Barry I Mbulaiteye, Sam M A population-based study of Kaposi Sarcoma-associated herpesvirus seropositivity in Uganda using principal components analysis |
title | A population-based study of Kaposi Sarcoma-associated herpesvirus seropositivity in Uganda using principal components analysis |
title_full | A population-based study of Kaposi Sarcoma-associated herpesvirus seropositivity in Uganda using principal components analysis |
title_fullStr | A population-based study of Kaposi Sarcoma-associated herpesvirus seropositivity in Uganda using principal components analysis |
title_full_unstemmed | A population-based study of Kaposi Sarcoma-associated herpesvirus seropositivity in Uganda using principal components analysis |
title_short | A population-based study of Kaposi Sarcoma-associated herpesvirus seropositivity in Uganda using principal components analysis |
title_sort | population-based study of kaposi sarcoma-associated herpesvirus seropositivity in uganda using principal components analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599442/ https://www.ncbi.nlm.nih.gov/pubmed/23324546 http://dx.doi.org/10.1186/1750-9378-8-3 |
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