Literature DB >> 8169655

Problems and pitfalls in the use of estimated age in anthropometric measurements of children from 6 to 60 months of age: a case from Mali.

A Oshaug1, J Pedersen, M Diarra, M A Bendech, A Hatløy.   

Abstract

Estimates of the age of children are often used uncritically in anthropometric measures. This study shows that even with construction of calendars for use of determination of age, substantial training, a careful follow-up in the field by research assistants, and control of all questionnaires immediately after the interviews of the caretakers and weighing of the children, errors remain in estimating the age of children. Such errors may affect the results substantially, leading to errors in the estimation of age-based measures of nutritional status. In the case of Northern Mali, the effect was most likely an underestimation of malnutrition by perhaps as much as 10 to 30 percentage points. The biases in age estimation in many cases are not constant across subgroups of a population. Therefore age estimation problems may lead to wrong decisions regarding policy formulation, planning of development programs and activities, identification of target groups, and, in particular, evaluation of programs and activities. In situations where age has to be estimated, anthropometric measurements that are less influenced by errors in age estimation are recommended.

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Year:  1994        PMID: 8169655     DOI: 10.1093/jn/124.5.636

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  4 in total

1.  The development of MUAC-for-age reference data recommended by a WHO Expert Committee.

Authors:  M de Onis; R Yip; Z Mei
Journal:  Bull World Health Organ       Date:  1997       Impact factor: 9.408

Review 2.  Situational analysis of infant and young child nutrition policies and programmatic activities in Mali.

Authors:  Sara E Wuehler; Mouctar Coulibaly
Journal:  Matern Child Nutr       Date:  2011-04       Impact factor: 3.092

3.  Anthropometry and moderate malnutrition in preschool children.

Authors:  Mary E Lloyd; Sally A Lederman
Journal:  Indian J Pediatr       Date:  2002-09       Impact factor: 1.967

4.  The Effect of Random Error on Diagnostic Accuracy Illustrated with the Anthropometric Diagnosis of Malnutrition.

Authors:  Emmanuel Grellety; Michael H Golden
Journal:  PLoS One       Date:  2016-12-28       Impact factor: 3.240

  4 in total

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