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How To Fix Intra - And Interobserver Error In Anthropometric Measurement
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article Open Access Open Peer Review This article has Open Peer Review reports available. How does Open Peer Review work? Reliability of anthropometric measures in a longitudinal cohort of patients initiating
ART in West AfricaMarylineSicotte1Email author, MarielleLedoux3, Maria-VictoriaZunzunegui1, 2, SouleymaneAg Aboubacrine4, Vinh-KimNguyen1, 5 and intraobserver reliability the ATARAO groupBMC Medical Research Methodology201010:102DOI: 10.1186/1471-2288-10-102© Sicotte et al; licensee BioMed Central Ltd.2010Received: 14May2010Accepted: 22October2010Published: 22October2010 Open Peer
Review reports Abstract Background Anthropometric measurements are a non invasive, inexpensive, and suitable method for evaluating the nutritional status in population studies with relatively large sample sizes. However, anthropometric techniques are prone http://www.ncbi.nlm.nih.gov/pubmed/21483422 to errors that could arise, for example, from the inadequate training of personnel. Despite these concerns, anthropometrical measurement error is seldom assessed in cohort studies. We describe the reliability and challenges associated with measurement of longitudinal anthropometric data in a cohort of West African HIV+ adults . Methods In a cohort of patients initiating antiretroviral treatment in Mali, we evaluated nutritional status using anthropometric http://bmcmedresmethodol.biomedcentral.com/articles/10.1186/1471-2288-10-102 measurements(weight, height, mid-upper arm circumference, waist circumference and triceps skinfold). Observers with no prior experience in the field of anthropometry were trained to perform anthropometrical measurements. To assess the intra- and inter-observer variability of the measurements taken in the course of the study, two sub-studies were carried out: one at the beginning and one at the end of the prospective study. Twelve patients were measured twice on two consecutive days by the same observer on both study occasions. The technical error of measurement (TEM) (absolute and relative value), and the coefficient of reliability (R) were calculated and compared across reliability studies. Results According to the R and relative TEM, inter-observer reliabilities were only acceptable for height and weight. In terms of intra-observer precision, while the first and second anthropometrists demonstrated better reliability than the third, only height and weight measurements were reliable. Looking at total TEM, we observed that while measurements remained stable between studies for height and weight, circumferences and skinfolds lost precision from one occasion to the next. Conclusions Height and weight were the most reliable measurements under the study's conditions. Circumferences and skinfolds demonstrated less reliability and l
web browser we do not support. To improve your experience please try one of the following options: Chrome (latest version) Firefox (latest version) Internet Explorer http://ebooks.cambridge.org/chapter.jsf?bid=CBO9780511600500&cid=CBO9780511600500A011 10+ Cancel Log in × Home Only search content I have access to Log in Register Browse subjects What we publish Services About Cambridge Core Institution login Register Log in < Back to search results HomeBooksAnthropometry Anthropometry Anthropometry The Individual and thePopulation Loading citation... Get access Buy the print book Check if you have access via personal or institutional login Log in Register Recommend to librarian Cited anthropometric measurement by 11 Cited by 11 Crossref Citations This book has been cited by the following publications. This list is generated based on data provided by CrossRef. Parker, Guy E. Davidson, Zeke Low, Belinda Lalampaa, Peter R. Sundaresan, Siva and Fischer, Martha 2016. Can pastoral communities offer solutions for conserving the Endangered Grevy's zebra Equus grevyi at the periphery of its range?. Oryx, p. 1. CrossRef Google Scholar Román, technical error of Estela María Bejarano, Ignacio Felipe Alfaro, Emma Laura Abdo, Guadalupe and Dipierri, José Edgardo 2015. Geographical altitude, size, mass and body surface area in children (1–4 years) in the Province of Jujuy (Argentina). Annals of Human Biology, Vol. 42, Issue. 5, p. 431. CrossRef Google Scholar Cakit, Erman Durgun, Behice Cetik, Oya and Yoldas, Oguz 2014. A Survey of Hand Anthropometry and Biomechanical Measurements of Dentistry Students in Turkey. Human Factors and Ergonomics in Manufacturing & Service Industries, Vol. 24, Issue. 6, p. 739. CrossRef Google Scholar Franklin, Daniel Cardini, Andrea Flavel, Ambika Kuliukas, Algis Marks, Murray K. Hart, Rob Oxnard, Charles and O’Higgins, Paul 2013. Concordance of traditional osteometric and volume-rendered MSCT interlandmark cranial measurements. International Journal of Legal Medicine, Vol. 127, Issue. 2, p. 505. CrossRef Google Scholar Chatterjee, Madhumati and Bandyopadhyay, Arup Ratan 2012. A Study on Nutritional Status and Dental Caries in Permanent Teeth among School Going Girl of Bengalee Population, India. Advances in Anthropology, Vol. 02, Issue. 03, p. 112. CrossRef Google Scholar Sitek, Aneta Fijałkowska, Marta Żądzińska, Elżbieta and Antoszewski, Bogusław 2012. Biometric Characteristics of the Pelvis in Female-to-Male Transsexuals. Archives of Sexual Behavior, Vol. 41, Issue. 5, p. 1303. CrossRef Google Scholar Sico
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anthropometric measurement error and the assessment of nutritional status
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main sources of error in anthropometric measurements
Main Sources Of Error In Anthropometric Measurements Bioassays Resources DNA RNABLAST Basic Local Alignment Search Tool BLAST Stand-alone E-UtilitiesGenBankGenBank BankItGenBank technical error of measurement formula SequinGenBank tbl asnGenome WorkbenchInfluenza VirusNucleotide DatabasePopSetPrimer-BLASTProSplignReference Sequence RefSeq RefSeqGeneSequence Technical Error Of Measurement Definition Read Archive SRA SplignTrace ArchiveUniGeneAll DNA RNA Resources Data SoftwareBLAST Basic kinds of anthropometric measurements Local Alignment Search Tool BLAST Stand-alone Cn DConserved Domain Search Service CD Search E-UtilitiesGenBank BankItGenBank SequinGenBank tbl asnGenome ProtMapGenome WorkbenchPrimer-BLASTProSplignPubChem Structure SearchSNP Submission technical error of measurement statistics ToolSplignVector Alignment Search Tool VAST All Data Software Resources Domains StructuresBioSystemsCn DConserved Domain Database CDD Conserved Domain Search
sources of error in anthropometric measurements
Sources Of Error In Anthropometric MeasurementsVolume Issue pp An analysis of the errors in certain anthropometric measurementsAuthorsAuthors and affiliationsA MunroA JoffeJ S WardC H WyndhamP W FlemingArticleReceived August DOI BF Cite this how to calculate technical error of measurement article as Munro A Joffe A Ward J S et al Technical Error Of Measurement Definition Int Z Angew Physiol Einschl Arbeitsphysiol doi BF Citations Downloads SummaryThe how to calculate technical error of measurement in excel study was made to assess the order of error and the sources of inaccuracy of anthropometric measurements made by a team of trained observers What
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