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

ABSTRACT 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...

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Main Authors: Natanael de Jesus Silva, Juliana Freitas de Mello e Silva, Thaís Rangel Bousquet Carrilho, Elizabete de Jesus Pinto, Rafaella da Costa Santin de Andrade, Sara Araújo Silva, Jéssica Pedroso, Ana Maria Spaniol, Gisele Ane Bortolini, Andhressa Fagundes, Eduardo Augusto Fernandes Nilson, Rosemeire Leovigildo Fiaccone, Gilberto Kac, Maurício Lima Barreto, Rita de Cássia Ribeiro-Silva
Format: Article
Language:English
Published: Universidade de São Paulo 2023-10-01
Series:Revista de Saúde Pública
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102023000100251&tlng=pt
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author Natanael de Jesus Silva
Juliana Freitas de Mello e Silva
Thaís Rangel Bousquet Carrilho
Elizabete de Jesus Pinto
Rafaella da Costa Santin de Andrade
Sara Araújo Silva
Jéssica Pedroso
Ana Maria Spaniol
Gisele Ane Bortolini
Andhressa Fagundes
Eduardo Augusto Fernandes Nilson
Rosemeire Leovigildo Fiaccone
Gilberto Kac
Maurício Lima Barreto
Rita de Cássia Ribeiro-Silva
author_facet Natanael de Jesus Silva
Juliana Freitas de Mello e Silva
Thaís Rangel Bousquet Carrilho
Elizabete de Jesus Pinto
Rafaella da Costa Santin de Andrade
Sara Araújo Silva
Jéssica Pedroso
Ana Maria Spaniol
Gisele Ane Bortolini
Andhressa Fagundes
Eduardo Augusto Fernandes Nilson
Rosemeire Leovigildo Fiaccone
Gilberto Kac
Maurício Lima Barreto
Rita de Cássia Ribeiro-Silva
author_sort Natanael de Jesus Silva
collection DOAJ
description ABSTRACT 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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spelling doaj.art-85662b0742324da4b5678abea7d209802023-10-24T07:41:50ZengUniversidade de São PauloRevista de Saúde Pública1518-87872023-10-015710.11606/s1518-8787.2023057004655Quality of child anthropometric data from SISVAN, Brazil, 2008-2017Natanael de Jesus Silvahttps://orcid.org/0000-0003-3002-1032Juliana Freitas de Mello e Silvahttps://orcid.org/0000-0002-9020-8811Thaís Rangel Bousquet Carrilhohttps://orcid.org/0000-0001-5928-6136Elizabete de Jesus Pintohttps://orcid.org/0000-0003-0335-8705Rafaella da Costa Santin de Andradehttps://orcid.org/0000-0003-3766-5893Sara Araújo Silvahttps://orcid.org/0000-0002-2605-378XJéssica Pedrosohttps://orcid.org/0000-0001-5446-4319Ana Maria Spaniolhttps://orcid.org/0000-0003-4017-9597Gisele Ane Bortolinihttps://orcid.org/0000-0002-7830-9134Andhressa Fagundeshttps://orcid.org/0000-0003-4085-3270Eduardo Augusto Fernandes Nilsonhttps://orcid.org/0000-0002-2650-4878Rosemeire Leovigildo Fiacconehttps://orcid.org/0000-0001-5439-1551Gilberto Kachttps://orcid.org/0000-0001-8603-9077Maurício Lima Barretohttps://orcid.org/0000-0002-0215-4930Rita de Cássia Ribeiro-Silvahttps://orcid.org/0000-0002-8387-9254ABSTRACT 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102023000100251&tlng=ptData ReliabilityFood and Nutrition SurveillanceHealth Information SystemsAnthropometryChild
spellingShingle Natanael de Jesus Silva
Juliana Freitas de Mello e Silva
Thaís Rangel Bousquet Carrilho
Elizabete de Jesus Pinto
Rafaella da Costa Santin de Andrade
Sara Araújo Silva
Jéssica Pedroso
Ana Maria Spaniol
Gisele Ane Bortolini
Andhressa Fagundes
Eduardo Augusto Fernandes Nilson
Rosemeire Leovigildo Fiaccone
Gilberto Kac
Maurício Lima Barreto
Rita de Cássia Ribeiro-Silva
Quality of child anthropometric data from SISVAN, Brazil, 2008-2017
Revista de Saúde Pública
Data Reliability
Food and Nutrition Surveillance
Health Information Systems
Anthropometry
Child
title Quality of child anthropometric data from SISVAN, Brazil, 2008-2017
title_full Quality of child anthropometric data from SISVAN, Brazil, 2008-2017
title_fullStr Quality of child anthropometric data from SISVAN, Brazil, 2008-2017
title_full_unstemmed Quality of child anthropometric data from SISVAN, Brazil, 2008-2017
title_short Quality of child anthropometric data from SISVAN, Brazil, 2008-2017
title_sort quality of child anthropometric data from sisvan brazil 2008 2017
topic Data Reliability
Food and Nutrition Surveillance
Health Information Systems
Anthropometry
Child
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102023000100251&tlng=pt
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