Evidence map›Paper›PMID 33648981›Full record

ArticleBMJ global health2021

A novel development indicator based on population-average height trajectories of children aged 0-5 years modelled using 145 surveys in 64 countries, 2000-2018.

Eric O Ohuma, Diego G Bassani, Huma Qamar, Seungmi Yang, Daniel E Roth

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Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Eric O OhumaCentre for Global Child Health & Child Health Evaluative Sciences, Hospital for Sick Children, Toronto, Ontario, Canada eric.ohuma@lshtm.ac.uk.ORCID 0000-0002-3116-2593
Diego G BassaniCentre for Global Child Health & Child Health Evaluative Sciences, Hospital for Sick Children, Toronto, Ontario, Canada.
Huma QamarCentre for Global Child Health & Child Health Evaluative Sciences, Hospital for Sick Children, Toronto, Ontario, Canada.
Seungmi YangDepartment of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada, Montreal, Quebec, Canada.
Daniel E RothCentre for Global Child Health & Child Health Evaluative Sciences, Hospital for Sick Children, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChildren's growth status is an important measure commonly used as a proxy indicator of advancements in a country's health, human capital and economic development. We aimed to assess the feasibility of using Super-Imposition by Translation And Rotation (SITAR) models for summarising population-based cross-sectional height-by-age data of children under 5 years across 64 countries.

methodsUsing 145 publicly available Demographic and Health Surveys of children under 5 years across 64 low-income and middle-income countries from 2000 to 2018, we created a multicountry pseudo-longitudinal dataset of children's heights.

resultsSITAR models including two parameters (size and intensity) explained 81% of the between-survey variation in mean boys' height and 80% in mean girls' height. Size parameters for boys and girls (relative to the WHO child growth standards) were distributed non-normally around a mean of -5.2 cm for boys (range: -7.9 cm to -1.6 cm) and -4.9 cm for girls (range: -7.7 cm to -1.2 cm). Boys exhibited 10% slower linear growth compared with the WHO (range: 19.7% slower to 1.6% faster) and girls 11% slower linear growth compared with the WHO (range: 21.4% slower to 1.0% faster). Variation in the SITAR size parameter was ≥90% explained by the combination of average length within the first 60 days of birth (as a proxy for fetal growth) and intensity, regardless of sex, with much greater contribution by postnatal intensity (r≥0.89 between size and intensity).

conclusionsSITAR models with two random effects can be used to model child linear growth using multicountry pseudo-longitudinal data, and thereby provide a feasible alternative approach to summarising early childhood height trajectories based on survey data. The SITAR intensity parameter may be a novel indicator for specifically tracking progress in the determinants of postnatal growth in low-income and middle-income countries.

Indexed as

Body HeightIncomeChildChild, PreschoolCross-Sectional StudiesFemaleHumansMalePovertySurveys and Questionnaireschild healthepidemiologyother study designpublic healthstunting

Identifiers

PMID33648981
PMCPMC7925247

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.