Brazilian Maternal and Child Nutrition Consortium : establishment, data harmonization and basic characteristics

Detalhes bibliográficos
Autor(a) principal: Carrilho, Thaís Rangel Bousquet
Data de Publicação: 2020
Outros Autores: Drehmer, Michele, Mengue, Sotero Serrate
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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spelling 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.
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dc.relation.ispartof.pt_BR.fl_str_mv Scientific reports. London. Vol. 10 (2020), 14869, 11 p.
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