Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA.
Infect Agent Cancer. 2013 Jan 16;8(1):3. doi: 10.1186/1750-9378-8-3.
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).
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.
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 (ptrend = 0.012) and Socioeconomic components (ptrend = 0.0001), but not with the Sexual-behavioral component (ptrend = 0.066). KSHV seropositivity was associated with the Socioeconomic PC (ptrend = 0.037), but not with the Sexual-behavioral and Knowledge PCs, in the models including PCs, age, gender and geographic region.
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.
卡波西肉瘤相关疱疹病毒（KSHV）血清阳性与性、环境和社会经济暴露有关。由于依赖于选定的高危人群或医院人群，并且对混杂因素的调整不完整，因此这些特征是否是独立的危险因素尚不确定。因此，我们使用主成分分析（PCA）在乌干达的一项基于人群的研究中评估了 KSHV 血清阳性的危险因素。
该研究人群包括 2681 名个体，他们是从 2004/05 年进行的全国代表性艾滋病毒/艾滋病血清行为学调查中随机选择的。问卷和实验室数据（97 个变量）通过 PCA 转化为一组不相关的变量。多变量逻辑回归模型用于估计成分与 KSHV 血清阳性之间的关联的优势比和 95%置信区间。
数据被简化为三个主成分（PC），分别标记为性行为、社会经济和知识 PC。在粗分析中，KSHV 血清阳性与知识（ptrend=0.012）和社会经济成分（ptrend=0.0001）相关，但与性行为成分（ptrend=0.066）无关。在包括 PC、年龄、性别和地理区域的模型中，KSHV 血清阳性与社会经济 PC 相关（ptrend=0.037），但与性行为和知识 PC 无关。
我们的结果与这样的观点一致，即在乌干达，社会经济特征可能影响 KSHV 血清阳性。相反，结果与在乌干达，如果相关，性行为特征的解释相符，其贡献很小。
