McCabe Sean Esteban, West Brady T
University of Michigan Institute for Research on Women and Gender, 204 S. State St., Ann Arbor, MI, 48109-1290, USA.
Survey Research Center, University of Michigan Institute for Social Research, P.O. Box 1248, Ann Arbor, MI, 48016-1248, USA.
Soc Psychiatry Psychiatr Epidemiol. 2016 Jan;51(1):141-53. doi: 10.1007/s00127-015-1122-2. Epub 2015 Sep 16.
There is a trend of decreasing response rates in population surveys, and selective nonresponse represents a major source of potential bias in population-based survey estimates of drug use behaviors, especially estimates based on longitudinal designs.
This study compared baseline substance use behaviors among initial respondents who did respond (n = 34,653) and did not respond (n = 8440) to a 3-year follow-up interview in a prospective study of the general U.S. adult population. Differences in nonresponse rates were assessed as a function of past-year drug use behaviors both before and after adjustment for socio-demographic differences potentially associated with these behaviors, and the effects of interactions of the socio-demographic characteristics with the drug use behaviors were assessed in multivariate logistic regression models for response at the 3-year follow-up.
Weighted and unweighted nonresponse rates varied between alcohol users and users of other drugs such as cocaine and marijuana, with rates of nonresponse being higher in the latter drug categories. There were also significant differences in nonresponse rates as a function of frequency of use and demographics. More specifically, being married tends to reduce the probability of non-response, while older age, being male, being Asian or Hispanic, and having lower education all substantially increase the probability of nonresponse at Wave 2, even after controlling for relevant covariates.
This study provides the substance abuse field with a methodology that users of longitudinal data can apply to test the sensitivity of their inferences to assumptions about attrition patterns.
在人口调查中,回应率呈下降趋势,选择性无回应是基于人群的药物使用行为调查估计中潜在偏差的主要来源,尤其是基于纵向设计的估计。
在一项针对美国成年人群体的前瞻性研究中,本研究比较了对3年随访访谈做出回应的初始受访者(n = 34,653)和未做出回应的受访者(n = 8440)之间的基线物质使用行为。在对可能与这些行为相关的社会人口学差异进行调整前后,将无回应率的差异评估为过去一年药物使用行为的函数,并在多变量逻辑回归模型中评估社会人口学特征与药物使用行为的相互作用对3年随访时回应情况的影响。
饮酒者与可卡因和大麻等其他药物使用者的加权和未加权无回应率有所不同,后一类药物使用者的无回应率更高。无回应率在使用频率和人口统计学方面也存在显著差异。更具体地说,已婚往往会降低无回应的概率,而年龄较大、男性、亚裔或西班牙裔以及教育程度较低,即使在控制了相关协变量之后,在第2波时也都会大幅增加无回应的概率。
本研究为药物滥用领域提供了一种方法,纵向数据的使用者可以应用该方法来测试其推断对关于损耗模式假设的敏感性。