Evidence map›Paper›PMID 30011008›Full record

ArticleThe Journal of nutrition2018

Comparative Models of Biological and Social Pathways to Predict Child Growth through Age 2 Years from Birth Cohorts in Brazil, India, the Philippines, and South Africa.

Linda M Richter, F Mark Orkin, Gabriela D Roman, Darren L Dahly, Bernardo L Horta, Santosh K Bhargava, Shane A Norris, Aryeh D Stein, COHORTS investigators

Abstract readComparative Study
In one paragraph

Article in The Journal of nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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  10. Does Improved Growth Mean Improved Neurobehavioral Development?Advances in nutrition (Bethesda, Md.) · 2019
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  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Linda M RichterDST-NRF Centre of Excellence in Human Development.
F Mark OrkinDST-NRF Centre of Excellence in Human Development.
Gabriela D RomanInstitute of Criminology, University of Cambridge, Cambridge, United Kingdom.
Darren L DahlyHRB Clinical Research Facility-Cork, University College Cork, Cork, Ireland.
Bernardo L HortaThe Centre of Epidemiological Research, Universidade Federal de Pelotas, Pelotas, Brazil.
Santosh K BhargavaSunder Lal Jain Hospital, New Delhi, India.
Shane A NorrisDST-NRF Centre of Excellence in Human Development.
Aryeh D SteinMRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
COHORTS investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early growth faltering accounts for one-third of child deaths, and adversely impacts the health and human capital of surviving children. Social as well as biological factors contribute to growth faltering, but their relative strength and interrelations in different contexts have not been fully described. Objective: The aim of this study was to use structural equation modelling to explore social and biological multidetermination of child height at age 2 y in longitudinal data from 4 birth cohort studies in low- and middle-income countries. Methods: We analyzed data from 13,824 participants in birth cohort studies in Brazil, India, the Philippines, and South Africa. We used exploratory structural equation models, with height-for-age at 24 mo as the outcome to derive factors, and path analysis to estimate relations among a wide set of social and biological variables common to the 4 sites. Results: The prevalence of stunting at 24 mo ranged from 14.0% in Brazil to 67.7% in the Philippines. Maternal height and birthweight were strongly predictive of height-for-age at 24 mo in all 4 sites (all P values <0.001). Three social-environmental factors, which we characterized as "child circumstances," "family socioeconomic status," and "community facilities," were identified in all sites. Each social-environmental factor was also strongly predictive of height-for-age at 24 mo (all P values <0.001), with some relations partly mediated through birthweight. The biological pathways accounted for 59% of the total explained variance and the social-environmental pathways accounted for 41%. The resulting path coefficients were broadly similar across the 4 sites. Conclusions: Early child growth faltering is determined by both biological and social factors. Maternal height, itself a marker of intergenerational deprivation, strongly influences child height at 2 y, including indirect effects through birthweight and social factors. However, concurrent social factors, many of which are modifiable, directly and indirectly contribute to child growth. This study highlights opportunities for interventions that address both biological and social determinants over the long and short term.

Indexed as

Developing CountriesFamily CharacteristicsModels, BiologicalMothersBirth WeightBody HeightBrazilChild, PreschoolCohort StudiesEnvironmentFemaleGrowth DisordersHumansIndiaInfantLatent Class Analysis

Identifiers

PMID30011008
PMCPMC6075183

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Registered trials

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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.