Evidence map›Paper›PMID 42459214›Full record

ReviewJournal of nutritional science2026

Beyond single metrics: a multidimensional approach to child growth and development-a decade-long review of an IUNS task force (2013-2024).

Hinke H Haisma, Barnali Chakraborty, Muhammad Dhansay, Zaina Mchome, Sridhar Venkatapuram, Sepideh Yousefzadeh, Rolando Manuel Gonzales Martinez

Abstract readReview
In one paragraph

Review in Journal of nutritional science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Hinke H HaismaPopulation Research Centre, Faculty of Spatial Sciences, University of Groningen, Groningen, Netherlands.
Barnali ChakrabortyNorth South University, Bangladesh.
Muhammad DhansaySouth African Medical Research Council, South Africa.
Zaina MchomeNational Institute for Medical Research of Tanzania, United Republic of Tanzania.
Sridhar VenkatapuramKing's College London, UK.
Sepideh YousefzadehCampus Fryslân, University of Groningen, Groningen, Netherlands.
Rolando Manuel Gonzales MartinezPopulation Research Centre, Faculty of Spatial Sciences, University of Groningen, Groningen, Netherlands.ORCID https://orcid.org/0000-0001-5401-780X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Children's growth extends beyond gains in height and weight: it includes non-physical achievements. This paper reviews the research conducted by the International Union for Nutritional Sciences Task Force 'Towards a Multidimensional Approach to Child Growth', which developed a Multidimensional Index of Child Growth (MICG) framed within a capability- and human-rights- based conceptualisation of child growth across interconnected dimensions, including physical health, love and care, mental wellbeing, participation, autonomy, mobility, and safety. Qualitative research in Bangladesh and southeastern Tanzania informed the operationalisation of the MICG, showing that caregivers understand child growth as a multidimensional capability set distributed across children, caregivers, and households. Quantitatively, we prototyped the MICG using Young Lives Survey data from Ethiopia, India, Peru, and Vietnam. The MICG reveals patterns of deprivation not captured by anthropometric indicators alone, such as compounded shortfalls in education, mobility, and mental wellbeing among rural girls in Peru, despite similar physical growth profiles. Regression and quantile analyses indicate that community participation in the design of WASH programmes is associated with higher multidimensional achievements, particularly among the most deprived children. To bridge observed achievements and unrealised potential, we extend the MICG using a Bayesian stochastic-frontier approach to estimate context-specific capability distributions and identify children at risk of being left behind. Finally, we propose a spiderweb growth chart for monitoring multidimensional child growth, complementing WHO anthropometric charts. Overall, the MICG offers an equity-sensitive tool for evaluating nutrition interventions, strengthening child growth surveillance, and advancing the Sustainable Development Goal commitment to leave no child behind.

Indexed as

Child DevelopmentAnthropometryChildChild, PreschoolFemaleHumansInfantBayesian stochastic frontier analysiscapability approachchild thrivingchild wellbeingethnographymultidimensional child growthmultidimensional indicesparticipatory researchYoung Lives Study

Identifiers

PMID42459214
PMCPMC13369259

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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.