巴氏涂片筛查的近期情况：一个多变量模型。
Recency of Pap smear screening: a multivariate model.
作者信息
Howe H L, Bzduch H
出版信息
Public Health Rep. 1987 May-Jun;102(3):295-301.
Most descriptive reports of women who have not received recent Pap smear screening have been limited to bivariate descriptions. The purpose of this study was to develop a multivariate model to predict the recency of Pap smear screening. A systematic sample of women residents, aged 25 to 74 years, in upstate New York was selected. The women were asked to report use of Pap smear screening during several time periods, their congruence with recommended medical practice, general use of medical services, and a variety of sociodemographic indicators. A log linear weighted least squares regression model was developed, and it explained 30 percent of the variance in recency of Pap smear screening behavior. While the sociodemographic variables were important predictors in the model, the medical care variables were the strongest predictors of recent Pap smear use. A significant relationship between race and recency of Pap smear testing was not supported by these data.
大多数关于未接受近期巴氏涂片筛查的女性的描述性报告都局限于双变量描述。本研究的目的是建立一个多变量模型来预测巴氏涂片筛查的近期情况。在纽约州北部选取了年龄在25至74岁之间的女性居民的系统样本。这些女性被要求报告在几个时间段内巴氏涂片筛查的使用情况、她们与推荐医疗实践的一致性、医疗服务的总体使用情况以及各种社会人口学指标。建立了一个对数线性加权最小二乘回归模型，该模型解释了巴氏涂片筛查行为近期情况中30%的方差。虽然社会人口学变量在模型中是重要的预测因素，但医疗保健变量是近期巴氏涂片使用的最强预测因素。这些数据不支持种族与巴氏涂片检测近期情况之间存在显著关系。
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