Elsevier

Annals of Epidemiology

Volume 6, Issue 6, November 1996, Pages 498-506
Annals of Epidemiology

Original report
The effect of nonresponse on prevalence estimates for a referent population: Insights from a population-based cohort study

https://doi.org/10.1016/S1047-2797(96)00104-4Get rights and content

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 (<5%) for most of the measured characteristics. Although nonresponse to health surveys is associated with typical attributes, early nonrespondents differ from respondents more than do late-stage nonrespondents. With few exceptions, however, a 33% nonresponse rate did not appear to introduce substantial bias into prevalence estimates for the source community.

References (28)

  • LB Cottler et al.

    Difficult-to-recruit respondents and their effect on prevalence estimates in an epidemiologic survey

    Am J Epidemiol

    (1987)
  • P Decoufle et al.

    Nonresponse and intensity of follow-up in an epidemiologic study of Vietnam-era veterans

    Am J Epidemiol

    (1991)
  • MH Criqui

    Response bias and risk ratios in epidemiologic studies

    Am J Epidemiol

    (1979)
  • S Greenland

    Response and follow-up bias in cohort studies

    Am J Epidemiol

    (1977)
  • Cited by (0)

    Supported by a contract with the U.S. National Heart, Lung, and Blood Institute (NO1-HC-55019).

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