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Quality Assurance for Accuracy of Anthropometric Measurements in Clinical and Epidemiological Studies: [Errare humanum est = to err is human]
Anthropometry involves the external measurement of morphologic traits of human beings. High quality anthropometric measurements are fundamental to clinical and epidemiological research. The measurements for each method have inherent variations, either due to biologic variation or due to error in mea...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4799648/ https://www.ncbi.nlm.nih.gov/pubmed/27051083 http://dx.doi.org/10.4103/0970-0218.173499 |
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author | Mony, Prem K. Swaminathan, Sumathi Gajendran, Jayachitra K. Vaz, Mario |
author_facet | Mony, Prem K. Swaminathan, Sumathi Gajendran, Jayachitra K. Vaz, Mario |
author_sort | Mony, Prem K. |
collection | PubMed |
description | Anthropometry involves the external measurement of morphologic traits of human beings. High quality anthropometric measurements are fundamental to clinical and epidemiological research. The measurements for each method have inherent variations, either due to biologic variation or due to error in measurement. Errors in measurement cannot be avoided completely but they can be minimized to a large extent. We define methods to estimate measurement error in anthropometry, offer guidelines for acceptable error, and suggest ways to minimize measurement error; thereby improving anthropometry quality in health assessments. We propose that special attention be paid to the following six key parameters for quality assurance of anthropometric measurements: (i) Identification of certified lead anthropometrist and trainer, (ii) manual of standard operating procedures, (iii) choice of robust equipment, (iv) equipment calibration, (v) standardization training and certification, and (vi) measurements resampling. |
format | Online Article Text |
id | pubmed-4799648 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-47996482016-04-05 Quality Assurance for Accuracy of Anthropometric Measurements in Clinical and Epidemiological Studies: [Errare humanum est = to err is human] Mony, Prem K. Swaminathan, Sumathi Gajendran, Jayachitra K. Vaz, Mario Indian J Community Med CME Anthropometry involves the external measurement of morphologic traits of human beings. High quality anthropometric measurements are fundamental to clinical and epidemiological research. The measurements for each method have inherent variations, either due to biologic variation or due to error in measurement. Errors in measurement cannot be avoided completely but they can be minimized to a large extent. We define methods to estimate measurement error in anthropometry, offer guidelines for acceptable error, and suggest ways to minimize measurement error; thereby improving anthropometry quality in health assessments. We propose that special attention be paid to the following six key parameters for quality assurance of anthropometric measurements: (i) Identification of certified lead anthropometrist and trainer, (ii) manual of standard operating procedures, (iii) choice of robust equipment, (iv) equipment calibration, (v) standardization training and certification, and (vi) measurements resampling. Medknow Publications & Media Pvt Ltd 2016 /pmc/articles/PMC4799648/ /pubmed/27051083 http://dx.doi.org/10.4103/0970-0218.173499 Text en Copyright: © Indian Journal of Community Medicine http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | CME Mony, Prem K. Swaminathan, Sumathi Gajendran, Jayachitra K. Vaz, Mario Quality Assurance for Accuracy of Anthropometric Measurements in Clinical and Epidemiological Studies: [Errare humanum est = to err is human] |
title | Quality Assurance for Accuracy of Anthropometric Measurements in Clinical and Epidemiological Studies: [Errare humanum est = to err is human] |
title_full | Quality Assurance for Accuracy of Anthropometric Measurements in Clinical and Epidemiological Studies: [Errare humanum est = to err is human] |
title_fullStr | Quality Assurance for Accuracy of Anthropometric Measurements in Clinical and Epidemiological Studies: [Errare humanum est = to err is human] |
title_full_unstemmed | Quality Assurance for Accuracy of Anthropometric Measurements in Clinical and Epidemiological Studies: [Errare humanum est = to err is human] |
title_short | Quality Assurance for Accuracy of Anthropometric Measurements in Clinical and Epidemiological Studies: [Errare humanum est = to err is human] |
title_sort | quality assurance for accuracy of anthropometric measurements in clinical and epidemiological studies: [errare humanum est = to err is human] |
topic | CME |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4799648/ https://www.ncbi.nlm.nih.gov/pubmed/27051083 http://dx.doi.org/10.4103/0970-0218.173499 |
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