Does the 65 cm height cut-off as age proxy exclude children eligible for nutritional assessment in Bangladesh?

E Ali1, R Zachariah1, S G Hinderaker2

  • 1Médecins Sans Frontières, Medical Department (Operational Research), Brussels Operational Centre-Luxembourg, Luxembourg.

Public Health Action
|September 23, 2015
PubMed

Insights

Using height as a proxy for age in nutritional surveys excludes many young children, particularly girls, from assessments. This practice may underestimate malnutrition prevalence in vulnerable populations.

Area of Science:

  • Public Health
  • Pediatric Nutrition
  • Anthropometry

Background:

  • Accurate age determination is crucial for nutritional surveys in children aged 6-59 months.
  • Length/height cut-offs are often used as proxies for age when direct age measurement is challenging.
  • Stunting is prevalent in many low-resource settings, complicating the use of height-for-age.

Purpose of the Study:

  • To assess the proportion of children excluded from nutritional assessment using a height cut-off of 65 cm as a proxy for age (≥6 months).
  • To evaluate the impact of this proxy method on identifying children within the 6-59 month age range in a specific urban slum setting.

Main Methods:

  • Secondary data analysis of primary health center records in Kamrangirchar slum, Dhaka, Bangladesh.
  • Inclusion criteria: children aged 6-59 months with recorded age and height.
  • Statistical analysis to determine the number and characteristics of children excluded by the height cut-off.

Main Results:

  • 2060 children were analyzed (median age 24 months, median height 78 cm).
  • 12% (240 children) aged 6-29 months had height <65 cm.
  • Of those excluded, 97.5% were aged 6-17 months, and 59% were female.

Conclusions:

  • The 65 cm height cut-off excludes a significant number of young, vulnerable children from nutritional assessment in this setting.
  • This exclusion can lead to an underestimation of malnutrition prevalence in nutritional surveys.
  • Rethinking proxy measures is essential for accurate nutritional surveillance in populations with high stunting rates.
Abstract

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