Soulakova Julia, Davis William W, Hartman Anne, Gibson James
University of Nebraska-Lincoln.
Surv Res Methods. 2009 Jan 1;3(3):123-137.
This study identified whether survey administration mode (telephone or in-person) and respondent type (self or proxy) result in discrepant prevalence of current smoking in the adult U.S. population, while controlling for key sociodemographic characteristics and longitudinal changes of smoking prevalence over the 11-year period from 1992-2003. We used a multiple logistic regression analysis with replicate weights to model the current smoking status logit as a function of a number of covariates. The final model included individual- and family-level sociodemographic characteristics, survey attributes, and multiple two-way interactions of survey mode and respondent type with other covariates. The respondent type is a significant predictor of current smoking prevalence and the magnitude of the difference depends on the age, sex, and education of the person whose smoking status is being reported. Furthermore, the survey mode has significant interactions with survey year, sex, and age. We conclude that using an overall unadjusted estimate of the current smoking prevalence may result in underestimating the current smoking rate when conducting proxy or telephone interviews especially for some sub-populations, such as young adults. We propose that estimates could be improved if more detailed information regarding the respondent type and survey administration mode characteristics were considered in addition to commonly used survey year and sociodemographic characteristics. This information is critical given that future surveillance is moving toward more complex designs. Thus, adjustment of estimates should be contemplated when comparing current smoking prevalence results within a given survey series with major changes in methodology over time and between different surveys using various modes and respondent types.
本研究确定了调查管理模式（电话调查或面对面调查）和受访者类型（自我受访者或代理受访者）是否会导致美国成年人口当前吸烟率出现差异，同时控制关键社会人口学特征以及1992年至2003年这11年间吸烟率的纵向变化。我们使用带有重复权重的多元逻辑回归分析，将当前吸烟状况的对数几率建模为多个协变量的函数。最终模型包括个人和家庭层面的社会人口学特征、调查属性，以及调查模式和受访者类型与其他协变量的多个双向交互作用。受访者类型是当前吸烟率的一个重要预测因素，差异的大小取决于报告吸烟状况者的年龄、性别和教育程度。此外，调查模式与调查年份、性别和年龄存在显著的交互作用。我们得出结论，在进行代理访谈或电话访谈时，尤其是针对某些亚人群体（如年轻人），使用当前吸烟率的总体未调整估计值可能会导致低估当前吸烟率。我们建议，如果除了常用的调查年份和社会人口学特征外，还考虑有关受访者类型和调查管理模式特征的更详细信息，估计值可能会得到改善。鉴于未来的监测正朝着更复杂的设计发展，这一信息至关重要。因此，在比较给定调查系列中当前吸烟率结果时，如果随着时间推移方法发生重大变化，以及在使用不同模式和受访者类型的不同调查之间进行比较时，应考虑对估计值进行调整。
