Audency/gwg-sitar-brazil
(2026).
Audency/gwg-sitar-brazil.
[Dataset].
Github.
https://github.com/Audency/gwg-sitar-brazil
This repository contains the R analysis code for the manuscript: "Modelling gestational weight gain trajectories and risk of adverse birth outcomes using Super Imposition by Translation and Rotation: Findings from two Brazilian cohort studies". The analysis applies the Super Imposition by Translation and Rotation (SITAR) approach to model individual gestational weight gain (GWG) trajectories in two Brazilian cohorts conducted approximately two decades apart: Araraquara cohort (2017–2024) and Jundiaí cohort (1997–2000), both São Paulo state, Brazil. Predicted GWG size and velocity at gestational week 36 are classified relative to the INTERGROWTH-21st GWG standard (P25, P25–P75, P75 categories) and associated with neonatal outcomes (low birth weight, macrosomia, preterm birth, and low 5-minute Apgar score) using Poisson regression with robust variance.
Keywords
gestational weight; Brazil; Birth; Cohort study; Perinatal Epidemiology| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Other |
| Date | 30 April 2026 |
| Language(s) of written materials | English |
| Creator(s) |
Victor, A
|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & International Health (2023-) |
| Research Centre | Centre for Maternal, Reproductive and Child Health (MARCH) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Funders |
Project Funder Grant Number Funder URI UNSPECIFIED UNSPECIFIED https://doi.org/10.13039/501100001807 |
| Date Deposited | 13 Aug 2026 09:08 |
| Last Modified | 13 Aug 2026 09:11 |
| Publisher | Github |
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