46
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Cálculo do erro técnico de medição em antropometria Translated title: Cálculo del error técnico en la medición de antropometria Translated title: Technical error of measurement in anthropometry

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          As medidas antropométricas estão sendo amplamente utilizadas para o acompanhamento e desenvolvimento de crianças, na verificação das adaptações em resposta ao treinamento, na seleção de atletas e em estudos de caracterização étnica, entre várias outras áreas. O controle da qualidade dessas medidas vai resultar em dados mais confiáveis e medidas antropométricas mais precisas. O propósito do presente estudo é difundir a estratégia para a obtenção do erro técnico de medição (ETM), segundo a metodologia de Kevin Norton e Tim Olds (2000), e avaliar o desempenho de estagiários de laboratório. Três antropometristas iniciantes do Laboratório de Fisiologia do Exercício (Labofise) da Universidade do Brasil foram avaliados. Eles realizaram as medidas de dobras cutâneas (Cescorf, 0,1mm) em nove diferentes pontos antropométricos de 35 voluntários (25,45 ± 9,96 anos). Para as medidas, foi adotada a padronização da International Society for Advancement in Kinanthropometry (ISAK). Para a verificação do ETM intra-avaliador, as medidas foram realizadas nos mesmos voluntários em dois dias diferentes; e, para a obtenção do ETM interavaliador, as medidas foram feitas em um mesmo grupo de voluntários, no mesmo dia, pelos três antropometristas. Os resultados apontaram ETMs não aceitáveis apenas para dois avaliadores na análise intra-avaliador. Os demais ETMs alcançaram resultados aceitáveis. Os ETMs não aceitáveis demonstram a necessidade de treinamento técnico dos antropometristas, de modo a minimizar a variabilidade constatada.

          Translated abstract

          Las medidas antropométricas están siendo ampliamente utilizadas para el acompañamiento y el desenvolvimiento de niños, en la verificación de las adaptaciones en respuesta a entrenamiento, en la seleción de atletas y en estudios de caracterización étnica, entre várias otras áreas. El control da la calidad de esas medidas va a resultar en datos mas confiables y medidas antropométricas mas precisas. El propósito del presente estudio es el de difundir la estrategia para la obtención del error técnico de medición (ETM), siguiendo la metodología de Kevin Norton y Tim Olds (2000) y evaluar el desempeño de empleados de laboratorio. Tres antropometristas del Laboratorio de Fisiologia del Ejercicio (Labofise) de la Universidad del Brasil fueron evaluados. Ellos realizaron las medidas de pliegues cutáneos (Cescorf, 0.1mm) en nueve diferentes puntos antropométricos de 35 voluntarios (25,45 ± 9,96 años). Para las medidas, fue adoptada la padronización de la International Society for Advancement in Kinanthropometry (ISAK). Para la verificación del ETM intra-evaluador, las medidas fueron realizadas en los mismos voluntarios en dos días diferentes; y, para la obtención del ETM inter-avaliador, las medidas fueron hechas en un mismo grupo de voluntarios, en el mesmo dia, por los tres antropometristas. Los resultados apuntaron ETMs no aceptables apenas para dos evaluadores en el análisis intra-evaluador. Los demás ETMs alcanzaron resultados aceptables. Los ETMs no aceptables demostraron la necesidad de entrenamiento técnico de los antropometristas, de modo de minimizar la variabilidad constatada.

          Translated abstract

          The anthropometrical measurements have been widely utilized to follow children's development, in the verification of the adaptations to the physical training in the athletes' selection, in studies of ethnic characterization, among others. The control of the precision and accuracy of the measurements will result in more reliable data. The objective of the present study was to diffuse the strategies to compute the technical error of measurement (TEM) according to Kevin Norton's and Tim Olds methodology (2000) and to analyze the laboratory' trainees performance. Three beginner observers (anthropometrists) of the Exercise Physiology Laboratory (Labofise) of the University of Brazil were analyzed. They accomplished measures of skin folds thickness (Cescorf, 0.1 mm) in nine different anthropometric points in 35 volunteers (25.45 ± 9.96 years). To accomplish the measures the International Society for Advancement in Kinanthropometry (ISAK) was adopted. For the TEM intra-evaluator verification, the measures were accomplished in the same volunteers in two different days and, to obtain the inter-observers TEM, the measures were accomplished in a same group of volunteers, in the same day by the three evaluators. The results indicated not acceptable TEMs only for two evaluators in the intra-evaluator analysis. The other TEMs reached acceptable results. Not acceptable TEMs demonstrated the need of technical training of evaluators in order to minimize the variability verified.

          Related collections

          Most cited references15

          • Record: found
          • Abstract: found
          • Article: not found

          Anthropometric measurement error and the assessment of nutritional status.

          Anthropometry involves the external measurement of morphological traits of human beings. It has a widespread and important place in nutritional assessment, and while the literature on anthropometric measurement and its interpretation is enormous, the extent to which measurement error can influence both measurement and interpretation of nutritional status is little considered. In this article, different types of anthropometric measurement error are reviewed, ways of estimating measurement error are critically evaluated, guidelines for acceptable error presented, and ways in which measures of error can be used to improve the interpretation of anthropometric nutritional status discussed. Possible errors are of two sorts; those that are associated with: (1) repeated measures giving the same value (unreliability, imprecision, undependability); and (2) measurements departing from true values (inaccuracy, bias). Imprecision is due largely to observer error, and is the most commonly used measure of anthropometric measurement error. This can be estimated by carrying out repeated anthropometric measures on the same subjects and calculating one or more of the following: technical error of measurement (TEM); percentage TEM, coefficient of reliability (R), and intraclass correlation coefficient. The first three of these measures are mathematically interrelated. Targets for training in anthropometry are at present far from perfect, and further work is needed in developing appropriate protocols for nutritional anthropometry training. Acceptable levels of measurement error are difficult to ascertain because TEM is age dependent, and the value is also related to the anthropometric characteristics of the group of population under investigation. R > 0.95 should be sought where possible, and reference values of maximum acceptable TEM at set levels of R using published data from the combined National Health and Nutrition Examination Surveys I and II (Frisancho, 1990) are given. There is a clear hierarchy in the precision of different nutritional anthropometric measures, with weight and height being most precise. Waist and hip circumference show strong between-observer differences, and should, where possible, be carried out by one observer. Skinfolds can be associated with such large measurement error that interpretation is problematic. Ways are described in which measurement error can be used to assess the probability that differences in anthropometric measures across time within individuals are due to factors other than imprecision. Anthropometry is an important tool for nutritional assessment, and the techniques reported here should allow increased precision of measurement, and improved interpretation of anthropometric data.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Saltation and stasis: a model of human growth.

            Human growth has been viewed as a continuous process characterized by changing velocity with age. Serial length measurements of normal infants were assessed weekly (n = 10), semiweekly (n = 18), and daily (n = 3) (19 females and 12 males) during their first 21 months. Data show that growth in length occurs by discontinuous, aperiodic saltatory spurts. These bursts were 0.5 to 2.5 centimeters in amplitude during intervals separated by no measurable growth (2 to 63 days duration). These data suggest that 90 to 95 percent of normal development during infancy is growth-free and length accretion is a distinctly saltatory process of incremental bursts punctuating background stasis.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Reliability, dependability, and precision of anthropometric measurements. The Second National Health and Nutrition Examination Survey 1976-1980.

              The components of reliability for eight anthropometric measures were studied in 95 male and 134 female subjects from the Second National Health and Nutrition Examination Survey (NHANES II). The contributions to unreliability variance (Sr2) that occur as a result of measuring errors (Sp2, imprecision variance) and of intrasubject fluctuations in a measurement due to physiologic factors (Sd2, undependability) were estimated (Sr2 = Sp2 + Sd2). Unreliability was then related to the between-subject variance (S2) to estimate the reliability (R = 1 - (Sr2/S2)) of the measurement. Four of the anthropometric measurements (weight, height, sitting height, and arm circumference) had reliabilities in excess of R = 0.97. In the first three of these, measurement imprecision made up two thirds or less of unreliability, and undependability (Sd2) was stable by two weeks. Lesser but still acceptable reliabilities were obtained for triceps and subscapular skinfolds, bitrochanteric breadth, and elbow breadth (R = 0.81-0.95). For these variables imprecision (Sp2) was the major source of error. Furthermore, the unreliability (Sr2) between observers was twice as high or more than the unreliability within observers for these variables, evidence that imprecision (Sp2) is the single most important source of unreliability in these anthropometric measurements. Unreliability standard deviations of skinfolds increased in a linear manner with skinfold thickness corresponding to an unreliability coefficient of variation of 13-19 per cent. None of the other measurements showed such scale effects. Analyses of the kind suggested will help epidemiologists decide whether reliability can be increased by improving precision, and whether there is a need to improve reliability in the first place. Reliability appears to be adequate for all anthropometry in the NHANES II.
                Bookmark

                Author and article information

                Journal
                rbme
                Revista Brasileira de Medicina do Esporte
                Rev Bras Med Esporte
                Sociedade Brasileira de Medicina do Exercício e do Esporte (São Paulo, SP, Brazil )
                1517-8692
                1806-9940
                February 2005
                : 11
                : 1
                : 81-85
                Affiliations
                [01] orgnameUniversidade Federal do Rio de Janeiro
                [02] orgnameUniversidade Federal do Rio de Janeiro orgdiv1Laboratório de Fisiologia do Exercício orgdiv2setor de Ergoespirometria e de Antropometria
                Article
                S1517-86922005000100009 S1517-8692(05)01100109
                10.1590/S1517-86922005000100009
                4e666a07-4a3f-429c-aa82-66cb8ef34a03

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 06 September 2004
                : 25 January 2005
                : 01 July 2004
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 16, Pages: 5
                Product

                SciELO Brazil

                Categories
                Artigos Originais

                Precisión,Precision,Anthropometrical measurements,Intra-evaluators,Inter-evaluators,Medidas antropométricas,Intra-observador,Inter-observador,Interobservador,Precisão

                Comments

                Comment on this article

                scite_
                315
                2
                122
                1
                Smart Citations
                315
                2
                122
                1
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content262

                Cited by74

                Most referenced authors170