Composite anthropometric data quality index for children under the age of 5 on the Brazilian National Food and Nutrition Surveillance System, 2019–2021
Abstract Background A composite evaluation that merges various data quality indicators separately enabled the researchers to score the overall data quality of the research. In this context, the objective of the present study is to develop composite anthropometric data quality indices for children un...
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BMC
2025-05-01
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| Series: | Population Health Metrics |
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| Online Access: | https://doi.org/10.1186/s12963-025-00371-3 |
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| author | Rafaela Oliveira-Santos Priscila Ribas de Farias Costa Natanael de Jesus Silva Juliana Freitas de Mello e Silva Laís Silva Sacramento Gilberto Kac Rita de Cássia Ribeiro-Silva Mauricio Lima Barreto |
| author_facet | Rafaela Oliveira-Santos Priscila Ribas de Farias Costa Natanael de Jesus Silva Juliana Freitas de Mello e Silva Laís Silva Sacramento Gilberto Kac Rita de Cássia Ribeiro-Silva Mauricio Lima Barreto |
| author_sort | Rafaela Oliveira-Santos |
| collection | DOAJ |
| description | Abstract Background A composite evaluation that merges various data quality indicators separately enabled the researchers to score the overall data quality of the research. In this context, the objective of the present study is to develop composite anthropometric data quality indices for children under 5 registered on the Brazilian National Food and Nutrition Surveillance System (SISVAN) from 2019 to 2021. Methods Anthropometric data quality indicators were generated for 5,210 Brazilian municipalities: coverage, completeness, the ratio between the sexes, age difference index, preference for height and weight digits, biologically implausible z-score values, and standard deviation. Principal component analysis [PCA] was used to generate a composite anthropometric data quality index for standardized height-for-age (HAZ) and weight-for-height z score (WHZ) indices. The municipalities were ranked in descending order, following their anthropometric quality index values: lowest [worst quality] and highest values [best quality]. Results In total, 29,367,435 records and 8,930,881 children with anthropometric measurement information were identified. The dispersion indicators, the percentage of biologically implausible values [BIV] and the digit preference had the highest factor loadings. We observed that the worst index values were found in municipalities in the country’s poorest and most vulnerable regions [North, Northeast, and Central-West]. The correlation between the HAZ and WHZ quality indices was 0.74. Conclusion The proposed index provides a coherent measurement to discriminate municipal anthropometric data quality. |
| format | Article |
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| language | English |
| publishDate | 2025-05-01 |
| publisher | BMC |
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| series | Population Health Metrics |
| spelling | doaj-art-e47c414c5f9f43488652391b0eadc7032025-08-20T02:25:16ZengBMCPopulation Health Metrics1478-79542025-05-0123111110.1186/s12963-025-00371-3Composite anthropometric data quality index for children under the age of 5 on the Brazilian National Food and Nutrition Surveillance System, 2019–2021Rafaela Oliveira-Santos0Priscila Ribas de Farias Costa1Natanael de Jesus Silva2Juliana Freitas de Mello e Silva3Laís Silva Sacramento4Gilberto Kac5Rita de Cássia Ribeiro-Silva6Mauricio Lima Barreto7School of Nutrition, Federal University of Bahia (UFBA)School of Nutrition, Federal University of Bahia (UFBA)Centre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz FoundationCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz FoundationCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz FoundationJosué de Castro Institute of Nutrition, Nutritional Epidemiology Observatory, Federal University of Rio de Janeiro (UFRJ)School of Nutrition, Federal University of Bahia (UFBA)Centre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz FoundationAbstract Background A composite evaluation that merges various data quality indicators separately enabled the researchers to score the overall data quality of the research. In this context, the objective of the present study is to develop composite anthropometric data quality indices for children under 5 registered on the Brazilian National Food and Nutrition Surveillance System (SISVAN) from 2019 to 2021. Methods Anthropometric data quality indicators were generated for 5,210 Brazilian municipalities: coverage, completeness, the ratio between the sexes, age difference index, preference for height and weight digits, biologically implausible z-score values, and standard deviation. Principal component analysis [PCA] was used to generate a composite anthropometric data quality index for standardized height-for-age (HAZ) and weight-for-height z score (WHZ) indices. The municipalities were ranked in descending order, following their anthropometric quality index values: lowest [worst quality] and highest values [best quality]. Results In total, 29,367,435 records and 8,930,881 children with anthropometric measurement information were identified. The dispersion indicators, the percentage of biologically implausible values [BIV] and the digit preference had the highest factor loadings. We observed that the worst index values were found in municipalities in the country’s poorest and most vulnerable regions [North, Northeast, and Central-West]. The correlation between the HAZ and WHZ quality indices was 0.74. Conclusion The proposed index provides a coherent measurement to discriminate municipal anthropometric data quality.https://doi.org/10.1186/s12963-025-00371-3Anthropometric evaluationAnthropometric data quality indicatorsFood and nutrition surveillance systemChildren |
| spellingShingle | Rafaela Oliveira-Santos Priscila Ribas de Farias Costa Natanael de Jesus Silva Juliana Freitas de Mello e Silva Laís Silva Sacramento Gilberto Kac Rita de Cássia Ribeiro-Silva Mauricio Lima Barreto Composite anthropometric data quality index for children under the age of 5 on the Brazilian National Food and Nutrition Surveillance System, 2019–2021 Population Health Metrics Anthropometric evaluation Anthropometric data quality indicators Food and nutrition surveillance system Children |
| title | Composite anthropometric data quality index for children under the age of 5 on the Brazilian National Food and Nutrition Surveillance System, 2019–2021 |
| title_full | Composite anthropometric data quality index for children under the age of 5 on the Brazilian National Food and Nutrition Surveillance System, 2019–2021 |
| title_fullStr | Composite anthropometric data quality index for children under the age of 5 on the Brazilian National Food and Nutrition Surveillance System, 2019–2021 |
| title_full_unstemmed | Composite anthropometric data quality index for children under the age of 5 on the Brazilian National Food and Nutrition Surveillance System, 2019–2021 |
| title_short | Composite anthropometric data quality index for children under the age of 5 on the Brazilian National Food and Nutrition Surveillance System, 2019–2021 |
| title_sort | composite anthropometric data quality index for children under the age of 5 on the brazilian national food and nutrition surveillance system 2019 2021 |
| topic | Anthropometric evaluation Anthropometric data quality indicators Food and nutrition surveillance system Children |
| url | https://doi.org/10.1186/s12963-025-00371-3 |
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