Brazilian Maternal and Child Nutrition Consortium : establishment, data harmonization and basic characteristics
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/220836 |
Resumo: | Pooled data analysis in the feld of maternal and child nutrition rarely incorporates data from low- and middle-income countries and existing studies lack a description of the methods used to harmonize the data and to assess heterogeneity. We describe the creation of the Brazilian Maternal and Child Nutrition Consortium dataset, from multiple pooled longitudinal studies, having gestational weight gain (GWG) as an example. Investigators of the eligible studies published from 1990 to 2018 were invited to participate. We conducted consistency analysis, identifed outliers, and assessed heterogeneity for GWG. Outliers identifcation considered the longitudinal nature of the data. Heterogeneity was performed adjusting multilevel models. We identifed 68 studies and invited 59 for this initiative. Data from 29 studies were received, 21 were retained for analysis, resulting in a fnal sample of 17,344 women with 72,616 weight measurements. Fewer than 1% of all weight measurements were fagged as outliers. Women with pre-pregnancy obesity had lower values for GWG throughout pregnancy. GWG, birth length and weight were similar across the studies and remarkably similar to a Brazilian nationwide study. Pooled data analyses can increase the potential of addressing important questions regarding maternal and child health, especially in countries where research investment is limited. |
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Carrilho, Thaís Rangel BousquetDrehmer, MicheleMengue, Sotero Serrate2021-05-13T04:26:42Z20202045-2322http://hdl.handle.net/10183/220836001123071Pooled data analysis in the feld of maternal and child nutrition rarely incorporates data from low- and middle-income countries and existing studies lack a description of the methods used to harmonize the data and to assess heterogeneity. We describe the creation of the Brazilian Maternal and Child Nutrition Consortium dataset, from multiple pooled longitudinal studies, having gestational weight gain (GWG) as an example. Investigators of the eligible studies published from 1990 to 2018 were invited to participate. We conducted consistency analysis, identifed outliers, and assessed heterogeneity for GWG. Outliers identifcation considered the longitudinal nature of the data. Heterogeneity was performed adjusting multilevel models. We identifed 68 studies and invited 59 for this initiative. Data from 29 studies were received, 21 were retained for analysis, resulting in a fnal sample of 17,344 women with 72,616 weight measurements. Fewer than 1% of all weight measurements were fagged as outliers. Women with pre-pregnancy obesity had lower values for GWG throughout pregnancy. GWG, birth length and weight were similar across the studies and remarkably similar to a Brazilian nationwide study. Pooled data analyses can increase the potential of addressing important questions regarding maternal and child health, especially in countries where research investment is limited.application/pdfengScientific reports. London. Vol. 10 (2020), 14869, 11 p.NutriçãoSaúde maternaCriançaConsórcios de saúdeBrazilian Maternal and Child Nutrition Consortium : establishment, data harmonization and basic characteristicsEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001123071.pdf.txt001123071.pdf.txtExtracted Texttext/plain55362http://www.lume.ufrgs.br/bitstream/10183/220836/2/001123071.pdf.txtaa08a479c2221cad2fe7b82ea84daf4dMD52ORIGINAL001123071.pdfTexto completo (inglês)application/pdf2058481http://www.lume.ufrgs.br/bitstream/10183/220836/1/001123071.pdf8c7ff311905b14194842135420b62a65MD5110183/2208362021-05-26 04:39:53.875321oai:www.lume.ufrgs.br:10183/220836Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2021-05-26T07:39:53Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Brazilian Maternal and Child Nutrition Consortium : establishment, data harmonization and basic characteristics |
title |
Brazilian Maternal and Child Nutrition Consortium : establishment, data harmonization and basic characteristics |
spellingShingle |
Brazilian Maternal and Child Nutrition Consortium : establishment, data harmonization and basic characteristics Carrilho, Thaís Rangel Bousquet Nutrição Saúde materna Criança Consórcios de saúde |
title_short |
Brazilian Maternal and Child Nutrition Consortium : establishment, data harmonization and basic characteristics |
title_full |
Brazilian Maternal and Child Nutrition Consortium : establishment, data harmonization and basic characteristics |
title_fullStr |
Brazilian Maternal and Child Nutrition Consortium : establishment, data harmonization and basic characteristics |
title_full_unstemmed |
Brazilian Maternal and Child Nutrition Consortium : establishment, data harmonization and basic characteristics |
title_sort |
Brazilian Maternal and Child Nutrition Consortium : establishment, data harmonization and basic characteristics |
author |
Carrilho, Thaís Rangel Bousquet |
author_facet |
Carrilho, Thaís Rangel Bousquet Drehmer, Michele Mengue, Sotero Serrate |
author_role |
author |
author2 |
Drehmer, Michele Mengue, Sotero Serrate |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Carrilho, Thaís Rangel Bousquet Drehmer, Michele Mengue, Sotero Serrate |
dc.subject.por.fl_str_mv |
Nutrição Saúde materna Criança Consórcios de saúde |
topic |
Nutrição Saúde materna Criança Consórcios de saúde |
description |
Pooled data analysis in the feld of maternal and child nutrition rarely incorporates data from low- and middle-income countries and existing studies lack a description of the methods used to harmonize the data and to assess heterogeneity. We describe the creation of the Brazilian Maternal and Child Nutrition Consortium dataset, from multiple pooled longitudinal studies, having gestational weight gain (GWG) as an example. Investigators of the eligible studies published from 1990 to 2018 were invited to participate. We conducted consistency analysis, identifed outliers, and assessed heterogeneity for GWG. Outliers identifcation considered the longitudinal nature of the data. Heterogeneity was performed adjusting multilevel models. We identifed 68 studies and invited 59 for this initiative. Data from 29 studies were received, 21 were retained for analysis, resulting in a fnal sample of 17,344 women with 72,616 weight measurements. Fewer than 1% of all weight measurements were fagged as outliers. Women with pre-pregnancy obesity had lower values for GWG throughout pregnancy. GWG, birth length and weight were similar across the studies and remarkably similar to a Brazilian nationwide study. Pooled data analyses can increase the potential of addressing important questions regarding maternal and child health, especially in countries where research investment is limited. |
publishDate |
2020 |
dc.date.issued.fl_str_mv |
2020 |
dc.date.accessioned.fl_str_mv |
2021-05-13T04:26:42Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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http://hdl.handle.net/10183/220836 |
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2045-2322 |
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001123071 |
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Scientific reports. London. Vol. 10 (2020), 14869, 11 p. |
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openAccess |
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