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Post-print of: Newell, S, Girgis, A, Sanson-Fisher, RW & Savolained, NJ 1999, 'The accuracy of self-reported health behaviors and risk factors relating to cancer and cardiovascular disease in the general population1: a critical review', American Journal of Preventive Medicine, vol. 17, no. 3, pp. 211-229.

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Objective: To critically review the literature concerning the accuracy of self-reported health behaviors and risk factors relating to cancer and cardiovascular disease among the general population. Method: A literature search was conducted on three major health research databases: MEDLINE, HealthPLAN, and PsychLit. The bibliographies of located articles were also checked for additional relevant references. Studies meeting the following five inclusion criteria were included in the review: • They were investigating the accuracy of self-report among the general population, as opposed to among clinical populations. • They employed an adequate and appropriate gold standard. • At least 70% of respondents consented to validation, where validation imposed minimal demands on the respondent; and 60% consent to validation was considered acceptable where validation imposed a greater burden. • They had a sample size capable of estimating sensitivity and specificity rates with 95% confidence intervals of width ± 10%. • The time lag between collection of the self-report and validation data for physical measures did not exceed one month. Results: Twenty-four of 66 identified studies met all the inclusion criteria described above. In the vast majority, self-report data consistently underestimated the proportion of individuals considered “at-risk.” Similarly, community prevalences of risk factors were considerably higher according to gold standard data sources than they were according to self-report data. Conclusions: This review casts serious doubts on the wisdom of relying exclusively on self-reported health information. It suggests that caution should be exercised both when trying to identify at-risk individuals and when estimating the prevalence of risk factors among the general population. The review also suggests a number of ways in which the accuracy of individuals’ self-reported health information can be maximized.

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