Abstract

BackgroundIn prospective epidemiological studies, anthropometry is often self-reported and may be subject to reporting errors. Self-reported anthropometric data are reasonably accurate when compared with measurements made at the same time, but reporting errors and changes over time in anthropometric characteristics could potentially generate time-dependent biases in disease-exposure associations.MethodsIn a sample of about 4000 middle-aged UK women from a large prospective cohort study, we compared repeated self-reports of weight, height, derived body mass index, and waist and hip circumferences, obtained between 1999 and 2008, with clinical measurements taken in 2008. For self-reported and measured values of each variable, mean differences, correlation coefficients, and regression dilution ratios (which measure relative bias in estimates of linear association) were compared over time.ResultsFor most variables, the differences between self-reported and measured values were small. On average, reported values tended to be lower than measured values (i.e. under-reported) for all variables except height; under-reporting was greatest for waist circumference. As expected, the greater the elapsed time between self-report and measurement, the larger the mean differences between them (each P < 0.001 for trend), and the weaker their correlations (each P < 0.004 for trend). Regression dilution ratios were in general close to 1.0 and did not vary greatly over time.ConclusionReporting errors in anthropometric variables may result in small biases to estimates of associations with disease outcomes. Weaker correlations between self-reported and measured values would result in some loss of study power over time. Overall, however, our results provide new evidence that self-reported anthropometric variables remain suitable for use in analyses of associations with disease outcomes in cohort studies over at least a decade of follow-up.Electronic supplementary materialThe online version of this article (doi:10.1186/s12874-015-0075-1) contains supplementary material, which is available to authorized users.

Highlights

  • In prospective epidemiological studies, anthropometry is often self-reported and may be subject to reporting errors

  • The aim of this study was to assess the accuracy over time of self-reported anthropometric characteristics (weight, height, derived body mass index (BMI), waist and hip circumference) during follow-up of the Million Women Study, a large UK cohort of women in middle age

  • Continuous anthropometric variables are commonly categorised in epidemiological analyses, so we investigated how measured values varied over time within categories of self-reported values

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Summary

Introduction

Anthropometry is often self-reported and may be subject to reporting errors. Previous studies have found that selfreported anthropometric variables are reasonably accurate when compared with measurements made at the same time, and are generally adequate for use in largescale epidemiological studies [1,2,3,4,5,6,7,8,9,10]. Such comparisons do not allow for changes over time, which could potentially generate time-dependent biases in estimates of disease-exposure associations. Validity over time of repeated anthropometric variables has been examined for predominantly measured values [11, 12], but not separately and for self-reported values.

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