Abstract

BackgroundData on lifetime exposures are often self-reported in epidemiologic studies, sometimes many years after the relevant age. Validity of self-reported data is usually inferred from their agreement with measured values, but few studies directly quantify the likely effects of reporting errors in body size and reproductive history variables on estimates of disease-exposure associations.MethodsThe MRC National Survey of Health and Development (NSHD) and the Million Women Study (MWS) are UK population-based prospective cohorts. The NSHD recruited participants at birth in 1946 and has followed them at regular intervals since then, whereas the MWS recruited women in middle age. For 541 women who were participants in both studies, we used statistical measures of association and agreement to compare self-reported MWS data on body size throughout life and reproductive history, obtained in middle age, to NSHD data measured or reported close to the relevant ages. Likely attenuation of estimates of linear disease-exposure associations due to the combined effects of random and systematic errors was quantified using regression dilution ratios (RDRs).ResultsData from the two studies were very strongly correlated for current height, weight and body mass index, and age at menopause (Pearson r = 0.91-0.95), strongly correlated for birth weight, parental heights, current waist and hip circumferences and waist-to-height ratio (r = 0.67-0.80), and moderately correlated for age at menarche and waist-to-hip ratio (r = 0.52-0.57). Self-reported categorical body size and clothes size data for various ages were moderately to strongly associated with anthropometry collected at the relevant times (Spearman correlations 0.51-0.79). Overall agreement between the studies was also good for most quantitative variables, although all exhibited both random and systematic reporting error. RDRs ranged from 0.66 to 0.86 for most variables (slight to moderate attenuation), except weight and body mass index (1.02 and 1.04, respectively; little or no attenuation), and age at menarche, birth weight and waist-to-hip ratio (0.44, 0.59 and 0.50, respectively; substantial attenuation).ConclusionsThis study provides some evidence that self-reported data on certain anthropometric and reproductive factors may be adequate for describing disease-exposure associations in large epidemiological studies, provided that the effects of reporting errors are quantified and the results are interpreted with caution.

Highlights

  • Data on lifetime exposures are often self-reported in epidemiologic studies, sometimes many years after the relevant age

  • The Medical Research Council (MRC) National Survey of Health and Development (NSHD) is a prospective cohort study of a sample of men and women born in England, Scotland and Wales who were recruited at birth in March 1946 and have been followed regularly throughout life by physical measurement, nurse interview and questionnaire [28]

  • Most of the self-reported Million Women Study data we examined showed moderate to good overall agreement with corresponding data measured or collected close to the relevant time in the MRC National Survey of Health and Development

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Summary

Introduction

Data on lifetime exposures are often self-reported in epidemiologic studies, sometimes many years after the relevant age. Validity of self-reported data is usually inferred from their agreement with measured values, but few studies directly quantify the likely effects of reporting errors in body size and reproductive history variables on estimates of disease-exposure associations. Epidemiologic studies often use exposure information that is recalled or otherwise self-reported, and the suitability of such data for use in epidemiological analyses is commonly inferred from their agreement with measured values. The Million Women Study (MWS) is a prospective cohort study of women, mainly born in 1934-1948 and recruited in middle age from England and Scotland, which uses postal questionnaires to obtain information on various exposures of interest including reproductive history and body size at different ages [29]. For women who were participants in both studies, we compared self-reported information from the MWS with corresponding NSHD data and examined how reporting errors could affect estimation of diseaseexposure relationships

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