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      Use of Upper-Arm Anthropometry as Measure of Body-Composition and Nutritional Assessment in Children and Adolescents (6–20 Years) of Assam, Northeast India

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          Abstract

          Background

          Upper-arm muscle area (UMA), upper-arm fat area (UFA), arm-fat index (AFI), upper-arm fat estimate (UFE) and upper-arm muscle estimate (UME) was introduced for the assessment of body-composition. This cross-sectional study assessed age-sex specific upper-arm composition and nutritional status among children and adolescents.

          Methods

          The present cross-sectional study was conducted among 1545 (770 boys; 775 girls) Sonowal Kacharis of Dibrugarh District, Assam, Northeast-India, using multi-stage stratified random sampling method. The anthropometric measurements of height, weight, triceps and mid-upper-arm circumference were recorded. The upper-arm composition was assessed using standard equations. Nutritional status was assessed using standard classification of upper-arm muscle-area by height (UAMAH) and thinness (low BMI-for-age).

          Results

          Age and sex-specific muscularity were found significantly greater among boys than girls (p<0.01), while adiposity was significantly greater among girls (p<0.01), particularly when they approached to puberty. The overall prevalence of low and below-average UAMAH was found to be 16.38% and 22.65% respectively. The overall prevalence of thinness was 23.69% (26.36% boys, 21.03% girls) (p>0.05).

          Conclusion

          Body-composition and nutritional status of these children and adolescents were found markedly unsatisfactory using upper-arm composition, UAMAH and thinness. The combination of upper-arm composition and conventional anthropometric measures appear to be useful for body-composition and nutritional status assessment.

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          Most cited references47

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          Physical Status: The Use and Interpretation of Anthropometry

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            Principles of nutritional assesMSent

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              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.
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                Author and article information

                Journal
                Ethiop J Health Sci
                Ethiop J Health Sci
                Ethiopian Journal of Health Sciences
                Research and Publications Office of Jimma University (Jimma, Ethiopia )
                1029-1857
                July 2014
                : 24
                : 3
                : 243-252
                Affiliations
                [1 ]Department of Anthropology, Dibru College, Dibrugrah, Assam, India
                [2 ]Department of Anthropology, Assam University; Diphu Campus, Karbi Anglong, Assam, India
                Author notes
                Corresponding Author: Dr. Nitish Mondal, nitish_slg@ 123456rediffmail.com
                Article
                jEJHS.v24.i3.pg243
                10.4314/ejhs.v24i3.8
                4141228
                25183931
                b8855d6c-295d-466d-ac94-58e392e1b731
                Copyright © Jimma University, Research & Publications Office 2014
                History
                Categories
                Original Article

                Medicine
                upper-arm muscle area,upper-arm fat area,upper-arm anthropometry,upper-arm muscle-area by height,northeast-india,malnutrition,child health

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