Quality of child anthropometric data from SISVAN, Brazil, 2008-2017

Natanael de Jesus Silva1,2, Juliana Freitas de Mello E Silva1, Thaís Rangel Bousquet Carrilho3

  • 1Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.

Revista De Saude Publica
|October 25, 2023
PubMed

Insights

The quality of anthropometric data for children under five in Brazil

Area of Science:

  • Public Health
  • Pediatrics
  • Nutrition Surveillance

Background:

  • The Food and Nutrition Surveillance System (SISVAN) is crucial for monitoring child health in Brazil.
  • Evaluating the quality of anthropometric data is essential for accurate health assessments and interventions.

Purpose of the Study:

  • To assess the quality of anthropometric data collected for children under five years old within SISVAN between 2008 and 2017.
  • To identify trends and areas for improvement in data collection practices.

Main Methods:

  • A descriptive study analyzed individual SISVAN databases for children under five.
  • Data quality was evaluated annually using indicators including coverage, completeness, sex ratio, age distribution, digit preference, and z-score validity.
  • Statistical analysis of anthropometric measurements and z-scores was performed.

Main Results:

  • Coverage of anthropometric data in SISVAN significantly increased from 17.7% to 45.4% between 2008 and 2017.
  • Completeness for birth date, weight, and height remained near 100%.
  • While generally balanced, some data exhibited digit preference for weight and height, and implausible z-scores exceeded 1%, particularly for height-related indices and in specific regions.

Conclusions:

  • SISVAN anthropometric data quality for children under five has substantially improved from 2008 to 2017.
  • Height measurements require further attention, especially for vulnerable populations, indicating a need for targeted improvements.
  • Continued monitoring and refinement of data collection are recommended.
Abstract

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