Data for: "Neonatal mortality risk of large for gestational age and macrosomic live births in 15 countries including 115.6 million nationwide linked records, 2000–2020" – User Guide

Persistent identifier

10.17037/DATA.00003666

Description

Data collected as part of a multi-country, population-based study to compare neonatal mortality risks of large for gestational age (>90^th centile for sex and gestational age) and macrosomia (>4000g) in 15 countries including 115.6 million nationwide records, 2000-2020.

Data collection methods

We analysed routinely collected data on 115.6 million live births from 1 January 2000 to 31 December 2020 from 15 participating countries. Each country analysed their data and aggregated tables were shared online.

Data collection mode

Term	Description
Aggregation	Statistical information that has been processed (e.g. averaged, totalled) to the point where individuals cannot be identified. Country teams shared aggregated Excel tables
Compilation/Synthesis	Each country included data from nationwide administrative data on livebirths and neonatal deaths
Content Coding	Only aggregated output numbers included
Experiment	We calculated the following variables: Term birth: A birth from 37 completed weeks of gestation as measured from the first day of the last menstrual period (LMP) or by early ultrasound. Appropriate for gestational age: A birth with a birthweight for gestational age and sex from 10th to 90th centiles according to INTERGROWTH-21st international standards Large for gestational age: A birth with a birthweight for gestational age and sex of >90th centile according to INTERGROWTH-21st international standards Macrosomic: A birth with birthweight ≥4000g (we used three cutoffs: ≥4000g, ≥4500g and ≥5000g) Comparison group: 2500g to 3999g
Measurements and tests	Each live birth was categorised based on gestational age (preterm birth, up to 36+6 weeks [PT] or term, 37+0 weeks and above [T]), size for gestational age SGA, AGA, LGA) using the INTERGROWTH-21^st international newborn size for age and sex standards (extended to include newborns from 22+0 to 44+6). Preterm and SGA babies were excluded
Observation	Individual-level data on livebirths. Livebirths was defined as the complete expulsion or extraction from a woman of a fetus, irrespective of the duration of the pregnancy, which, after such separation, shows signs of life. Neonatal deaths where those occurring from 0-27 days after a live birth. Neonatal deaths were further classified into early (0-6 days) or late (7-27 days
Recording	Livebirths and neonatal deaths identified in national administrative datasets with three core variables (sex, gestational age and birthweight)
Summary	Summary tables in Excel

Geographic regions

Data were collated from 15 countries, representing three Sustainable Development Goals Regions (Latin America & the Caribbean; North America, Australia, New Zealand, Central Asia & Europe; and Western & North Asia) totalling 144 country-years from 2000 to 2020.

Related resources

Lawn JE, Ohuma EO, Bradley E, Idueta LS, Hazel E, Okwaraji YB, et al. Small babies, big risks: global estimates of prevalence and mortality for vulnerable newborns to accelerate change and improve counting. Vol. 401, The Lancet. Elsevier BV; 2023. p. 1707–19. Available from: https://doi.org/10.1016/S0140-6736(23)00522-6
Lawn JE, Black R, Blencowe H, Ohuma E, Papageorghiou A. Vulnerable Newborns: multi-country analyses to advance measurement related to preterm births and small-for-gestational age. 2023. https://obgyn.onlinelibrary.wiley.com/doi/toc/10.1111/(ISSN)1471-0528.vulnerable-newborns

Key dates

Data capture period: 1 January 2000 to 31 December 2020
Submission date: 13 October 2023

Keywords

neonatal mortality, pregnancy, fetal macrosomia, Infant, large for gestational age

Language of written material

English

Project information

Project name	Funder/sponsor	Grant number
Vulnerable Newborns: multi-country analyses to advance measurement related to preterm births and small-for-gestational age	Children's Investment Fund Foundation	1803-02535

Creators

Forename	Surname	Institution	ORCID	Role
Lorena	Suárez-Idueta		0000-0003-0909-7737	Data Creator
Eric O.	Ohuma		0000-0002-3116-2593	Data Creator
Chia-Jung	Chang			Data Creator
Elizabeth A.	Hazel		0000-0002-9176-3278	Data Creator
Judith	Yargawa		0000-0002-6299-2215	Data Creator
Yemisrach B.	Okwaraji		0000-0002-4541-2856	Data Creator
Ellen	Bradley		0009-0009-4457-0762	Data Creator
Adrienne	Gordon		0000-0002-2328-1066	Data Creator
Jessica	Sexton		0000-0002-5536-9468	Data Creator
Harriet	Lawford		0000-0002-9699-8201	Data Creator
Enny S.	Paixao		0000-0002-4797-908X	Data Creator
Ila Rocha	Falcão		0000-0001-6961-3858	Data Creator
Sarka	Lisonkova		0000-0002-1220-310X	Data Creator
Qi	Wen			Data Creator
Petr	Velebil		0009-0001-0643-1069	Data Creator
Jitka	Jírová			Data Creator
Erzsebet	Horváth-Puhó		0000-0002-3594-2212	Data Creator
Henrik Toft	Sørensen		0000-0003-4299-7040	Data Creator
Luule	Sakkeus		0000-0003-3785-183X	Data Creator
Lili	Abuladze		0000-0002-0109-9757	Data Creator
Khalid A.	Yunis		0000-0002-6384-2745	Data Creator
Ayah Al	Bizri		0000-0002-0677-7879	Data Creator
Sonia	Alvarez Lopez		0000-0002-8622-080X	Data Creator
Lisa	Broeders			Data Creator
A. E.	van Dijk			Data Creator
Fawziya	Alyafei		0000-0001-6851-0654	Data Creator
Mai	AlQubaisi			Data Creator
Neda	Razaz		0000-0002-1273-0110	Data Creator
Jonas	Söderling		0000-0001-9006-2835	Data Creator
Lucy K.	Smith		0000-0001-9470-0793	Data Creator
Ruth	Matthews		0000-0003-2688-4580	Data Creator
Estelle	Lowry		0000-0002-4655-416X	Data Creator
Neil	Rowland		0000-0001-9755-1682	Data Creator
Rachael	Wood		0000-0003-4453-623X	Data Creator
Kirsten	Monteath			Data Creator
Isabel	Pereyra		0000-0002-4696-8063	Data Creator
Gabriella	Pravia		0009-0006-5871-6257	Data Creator
Joy E.	Lawn		0000-0002-4573-1443	Data Creator
Hannah	Blencowe		0000-0003-1556-3159	Data Creator

LSHTM Faculty/Department

Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology

Research Centre and Group

Research Centre - Centre for Maternal, Reproductive and Child Health (MARCH)
Vulnerable Newborn Measurement Group

Participating institutions

London School of Hygiene & Tropical Medicine, London, United Kingdom
Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States,
University College London, London, United Kingdom

Copyright holder

London School of Hygiene & Tropical Medicine, London, United Kingdom

Associated roles

Forename	Surname	Faculty / Dept	Institution	Role
Eric O.	Ohuma		London School of Hygiene & Tropical Medicine	Primary contact
Hannah	Blencowe		London School of Hygiene & Tropical Medicine	Primary contact

File description

Filename	Description	Access status	Licence
Mortality_National_LGA_Data	Data collected as part of a multi-country, population-based study to compare neonatal mortality risks of large for gestational age (>90th centile for sex and gestational age) and macrosomia (>4000g) in 15 countries between 2000-2020	Controlled	Data sharing agreement
Mortality_National_LGA_R_Code.R	R code for dataset	Open	Creative Commons Attribution (CCBY)
Mortality_National_LGA_Codebook	Codebook for Mortality National LGA Data	Open	Creative Commons Attribution (CCBY)
3666_UserGuide	User guide for Mortality National LGA dataset	Open	Creative Commons Attribution (CCBY)