Anthropometric assessment of children's nutritional status: a new approach based on an adaptation of Waterlow's classification

The methodology currently used for nutritional assessment of populations classifies children according to four conditions: eutrophy, wasting, stunting, and overweight. However, children can be stunted and wasted concomitantly. Similarly, they can be stunted and overweight. These conditions are assoc...

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Bibliographic Details
Published in:BMC pediatrics 2020-02, Vol.20 (1), p.65-65, Article 65
Main Author: Ferreira, Haroldo da Silva
Format: Article
Language:English
Subjects:
Age
Anthropometry
Body Height
Body measurements
Brazil - epidemiology
Censuses
Child
Child health
Child nutrition
Child, Preschool
Childhood obesity
Children
Children & youth
Chronic diseases
Chronic illnesses
Classification
Concurrent wasting and stunting
Cross-Sectional Studies
Disease susceptibility
Diseases
Families & family life
Female
Growth Disorders - diagnosis
Growth Disorders - epidemiology
Health screening
Health surveys
Households
Humans
Infant
Male
Malnutrition
Measurement
Methods
Mortality
Nutrition
Nutrition assessment
Nutritional assessment
Nutritional Status
Overweight
Prevalence
Proteins
Short stature
Standard deviation
Stunting
Technical Advance
Wasting
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Summary:The methodology currently used for nutritional assessment of populations classifies children according to four conditions: eutrophy, wasting, stunting, and overweight. However, children can be stunted and wasted concomitantly. Similarly, they can be stunted and overweight. These conditions are associated with greater susceptibility to mortality or chronic diseases, respectively. This work presents an adaptation of Waterlow's classification (AWC), which discriminates six nutritional conditions. Additionally, it provides a command routine in Stata, which processes the z-scores of the anthropometric indices height-for-age and weight-for-height and presents the respective prevalence of the nutritional conditions. Data from two household surveys were used to demonstrate the application of AWC, which were conducted in 1992 (n = 1229) and 2015 (n = 987), with probabilistic samples of children (
ISSN:1471-2431
1471-2431
DOI:10.1186/s12887-020-1940-6