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.


Journal

BMJ global health
ISSN: 2059-7908
Titre abrégé: BMJ Glob Health
Pays: England
ID NLM: 101685275

Informations de publication

Date de publication:
03 2021
Historique:
received: 06 10 2020
revised: 13 01 2021
accepted: 20 01 2021
entrez: 2 3 2021
pubmed: 3 3 2021
medline: 25 6 2021
Statut: ppublish

Résumé

Children'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. Using 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. SITAR 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). SITAR 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.

Identifiants

pubmed: 33648981
pii: bmjgh-2020-004107
doi: 10.1136/bmjgh-2020-004107
pmc: PMC7925247
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Eric O Ohuma (EO)

Centre for Global Child Health & Child Health Evaluative Sciences, Hospital for Sick Children, Toronto, Ontario, Canada eric.ohuma@lshtm.ac.uk.
Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK, Oxford, UK.

Diego G Bassani (DG)

Centre for Global Child Health & Child Health Evaluative Sciences, Hospital for Sick Children, Toronto, Ontario, Canada.
Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Department of Pediatrics, Hospital for Sick Children & University of Toronto, Toronto, Ontario, Canada.

Huma Qamar (H)

Centre for Global Child Health & Child Health Evaluative Sciences, Hospital for Sick Children, Toronto, Ontario, Canada.

Seungmi Yang (S)

Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada, Montreal, Quebec, Canada.

Daniel E Roth (DE)

Centre for Global Child Health & Child Health Evaluative Sciences, Hospital for Sick Children, Toronto, Ontario, Canada.
Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Department of Pediatrics, Hospital for Sick Children & University of Toronto, Toronto, Ontario, Canada.
Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada.

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