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The effect of nonresponse on prevalence estimates for a referent population: insights from a population-based cohort study. Atherosclerosis Risk in Communities (ARIC) Study Investigators.

TitleThe effect of nonresponse on prevalence estimates for a referent population: insights from a population-based cohort study. Atherosclerosis Risk in Communities (ARIC) Study Investigators.
Publication TypeJournal Article
Year of Publication1996
AuthorsShahar E, Folsom AR, Jackson R
JournalAnn Epidemiol
Volume6
Issue6
Pagination498-506
Date Published1996 Nov
ISSN1047-2797
KeywordsAge Distribution, Cardiovascular Diseases, Cohort Studies, Epidemiologic Methods, Female, Health Surveys, Humans, Male, Middle Aged, Minnesota, Multivariate Analysis, Patient Compliance, Prevalence, Reproducibility of Results, Selection Bias, Sex Distribution
Abstract

Characterization of nonrespondents, with the aim of detecting nonresponse bias, is a crucial component of prospective studies. This study was undertaken to investigate the demographic and health characteristics of nonrespondents to a population-based cohort study of cardiovascular disease, to determine whether early-stage nonrespondents differ from late-stage nonrespondents, and to estimate the bias in prevalence estimates for the source population. Sixty-seven percent of eligible subjects completed all phases of the cohort recruitment. Compared to respondents, nonrespondents were less likely to be married, less likely to be employed, and less likely to be well educated. Nonrespondents tended to describe their general health in less favorable terms and were more likely to be smokers. Their reported disease profile, however, was not dissimilar to that of respondents. For several demographic and health characteristics, including marital status, education, and smoking, early-stage nonrespondents differed from respondents more than did late-stage nonrespondents. For example, 42% of early nonrespondents were smokers compared to 37% of late nonrespondents and 22% of respondents. Overall, the bias in prevalence estimates related to nonresponse was small (

DOI10.1016/s1047-2797(96)00104-4
Alternate JournalAnn Epidemiol
PubMed ID8978880
Grant ListN01-HC-55019 / HC / NHLBI NIH HHS / United States