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Validity over time of self-reported anthropometric variables during follow-up of a large cohort of UK women

BACKGROUND: In 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 anthropometr...

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Autores principales: Wright, F. Lucy, Green, Jane, Reeves, Gillian, Beral, Valerie, Cairns, Benjamin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4599695/
https://www.ncbi.nlm.nih.gov/pubmed/26450616
http://dx.doi.org/10.1186/s12874-015-0075-1
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author Wright, F. Lucy
Green, Jane
Reeves, Gillian
Beral, Valerie
Cairns, Benjamin J.
author_facet Wright, F. Lucy
Green, Jane
Reeves, Gillian
Beral, Valerie
Cairns, Benjamin J.
author_sort Wright, F. Lucy
collection PubMed
description BACKGROUND: In 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. METHODS: In 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. RESULTS: For 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. CONCLUSION: Reporting 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 MATERIAL: The online version of this article (doi:10.1186/s12874-015-0075-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-45996952015-10-10 Validity over time of self-reported anthropometric variables during follow-up of a large cohort of UK women Wright, F. Lucy Green, Jane Reeves, Gillian Beral, Valerie Cairns, Benjamin J. BMC Med Res Methodol Research Article BACKGROUND: In 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. METHODS: In 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. RESULTS: For 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. CONCLUSION: Reporting 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 MATERIAL: The online version of this article (doi:10.1186/s12874-015-0075-1) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-08 /pmc/articles/PMC4599695/ /pubmed/26450616 http://dx.doi.org/10.1186/s12874-015-0075-1 Text en © Wright et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wright, F. Lucy
Green, Jane
Reeves, Gillian
Beral, Valerie
Cairns, Benjamin J.
Validity over time of self-reported anthropometric variables during follow-up of a large cohort of UK women
title Validity over time of self-reported anthropometric variables during follow-up of a large cohort of UK women
title_full Validity over time of self-reported anthropometric variables during follow-up of a large cohort of UK women
title_fullStr Validity over time of self-reported anthropometric variables during follow-up of a large cohort of UK women
title_full_unstemmed Validity over time of self-reported anthropometric variables during follow-up of a large cohort of UK women
title_short Validity over time of self-reported anthropometric variables during follow-up of a large cohort of UK women
title_sort validity over time of self-reported anthropometric variables during follow-up of a large cohort of uk women
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4599695/
https://www.ncbi.nlm.nih.gov/pubmed/26450616
http://dx.doi.org/10.1186/s12874-015-0075-1
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