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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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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. |
format | Online Article Text |
id | pubmed-4599695 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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