Literature DB >> 2635590

Assessment of nutritional status: effects of different methods to determine age on the classification of undernutrition.

J Gorstein.   

Abstract

The evaluation of nutritional status using anthropometry has been widely employed in field studies and nutritional surveillance programmes. Two of the primary indicators used, weight-for-age and height-for-age, require accurate age information for proper assessments to be made. Three data sets on nutritional status were evaluated using different methods to determine age: rounding to the most recently attained month, rounding to the nearest whole month, and ages computed from birth dates and visit dates. The impact of these different methods on the classification of nutritional status were found to be dramatic, especially in infants during the first year of life. In some cases, when ages are rounded to the most recently attained month, as few as 43% of the children classified as malnourished based on the indicator, height-for-age, and the cut-off point, less than -2 Standard Deviations from the reference median, are identified relative to when ages are computed from birth and visit dates. Beyond the discrepancies in estimating prevalence below specific cut-off points to designate undernutrition, the use of the different methods also affects entire distributions. The problem of using different methods to estimate age, and the impact they have on the classification of undernutrition are of critical public health importance, especially when this information is used to identify individuals and groups as well as for planning and policy development.

Entities:  

Mesh:

Year:  1989        PMID: 2635590      PMCID: PMC2491244     

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


  1 in total

1.  The presentation and use of height and weight data for comparing the nutritional status of groups of children under the age of 10 years.

Authors:  J C Waterlow; R Buzina; W Keller; J M Lane; M Z Nichaman; J M Tanner
Journal:  Bull World Health Organ       Date:  1977       Impact factor: 9.408

  1 in total
  8 in total

1.  Standard growth and diarrhea-associated growth faltering in captive infant rhesus macaques (Macaca mulatta).

Authors:  Andrew J Haertel; Kamm Prongay; Lina Gao; Daniel H Gottlieb; Byung Park
Journal:  Am J Primatol       Date:  2018-10-03       Impact factor: 2.371

2.  Issues in the assessment of nutritional status using anthropometry.

Authors:  J Gorstein; K Sullivan; R Yip; M de Onís; F Trowbridge; P Fajans; G Clugston
Journal:  Bull World Health Organ       Date:  1994       Impact factor: 9.408

3.  Malnutrition of children in Sikasso (Mali): prevalence and socio-economic determinants.

Authors:  P Bouvier; J P Papart; P Wanner; M Picquet; A Rougemont
Journal:  Soz Praventivmed       Date:  1995

4.  Anemia and nutritional status of pre-school children in Kerala.

Authors:  K A George; N S Kumar; J J Lal; R Sreedevi
Journal:  Indian J Pediatr       Date:  2000-08       Impact factor: 1.967

5.  Polygyny and child growth in a traditional pastoral society : The case of the datoga of Tanzania.

Authors:  D W Sellen
Journal:  Hum Nat       Date:  1999-12

6.  Are pre-school girls more likely to be under-nourished in rural Thatta, Pakistan?-a cross-sectional study.

Authors:  Rozina Nuruddin; Wilbur C Hadden
Journal:  Int J Equity Health       Date:  2015-12-21

7.  Comparison of Anthropometric Indicators That Assess Nutritional Status From Infancy to Old Age and Proposal of Percentiles for a Regional Sample of Chile.

Authors:  Rossana Gómez-Campos; Rubén Vidal-Espinoza; Anderson Marques de Moraes; Evandro Lázari; Cynthia Lee Andruske; Luis Castelli Correia de Campos; Luis Urzua-Alul; Wilbert Cossio-Bolaños; Marco A Cossio-Bolanõs
Journal:  Front Nutr       Date:  2021-12-24

8.  Environmental predictors of stunting among children under-five in Somalia: cross-sectional studies from 2007 to 2010.

Authors:  Damaris K Kinyoki; James A Berkley; Grainne M Moloney; Elijah O Odundo; Ngianga-Bakwin Kandala; Abdisalan M Noor
Journal:  BMC Public Health       Date:  2016-07-28       Impact factor: 3.295

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.