Abstract：
:Pooled data analysis in the field 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, identified outliers, and assessed heterogeneity for GWG. Outliers identification considered the longitudinal nature of the data. Heterogeneity was performed adjusting multilevel models. We identified 68 studies and invited 59 for this initiative. Data from 29 studies were received, 21 were retained for analysis, resulting in a final sample of 17,344 women with 72,616 weight measurements. Fewer than 1% of all weight measurements were flagged 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.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Carrilho TRB,Farias DR,Batalha MA,Costa NCF,Rasmussen KM,Reichenheim ME,Ohuma EO,Hutcheon JA,Kac G,Brazilian Maternal and Child Nutrition Consortium.doi
10.1038/s41598-020-71612-8subject
Has Abstractpub_date
2020-09-10 00:00:00pages
14869issue
1issn
2045-2322pii
10.1038/s41598-020-71612-8journal_volume
10pub_type
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