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Updated: Jul 12, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
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.
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.
Objective:
To evaluate the quality of anthropometric data of children recorded in the Food and Nutrition Surveillance System (SISVAN) from 2008 to 2017.
Method:
Descriptive study on the quality of anthropometric data of children under five years of age admitted in primary care services of the Unified Health System, from the individual databases of SISVAN. Data quality was annually assessed using the indicators: coverage, completeness, sex ratio, age distribution, weight and height digit preference, implausible z-score values, standard deviation, and normality of z-scores.
Results:
In total, 73,745,023 records and 29,852,480 children were identified. Coverage increased from 17.7% in 2008 to 45.4% in 2017. Completeness of birth date, weight, and height corresponded to almost 100% in all years. The sex ratio was balanced and approximately similar to the expected ratio, ranging from 0.8 to 1. The age distribution revealed higher percentages of registrations from the ages of two to four years until mid-2015. A preference for terminal digits "zero" and "five" was identified among weight and height records. The percentages of implausible z-scores exceeded 1% for all anthropometric indices, with values decreasing from 2014 onwards. A high dispersion of z-scores, including standard deviations between 1.2 and 1.6, was identified mainly in the indices including height and in the records of children under two years of age and residents in the North, Northeast, and Midwest regions. The distribution of z-scores was symmetric for all indices and platykurtic for height/age and weight/age.
Conclusions:
The quality of SISVAN anthropometric data for children under five years of age has improved substantially between 2008 and 2017. Some indicators require attention, particularly for height measurements, whose quality was lower especially among groups more vulnerable to nutritional problems.
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