Evidence map›Paper›PMID 32948547›Full record

ArticleBMJ open2020

Comparison of growth models to describe growth from birth to 6 years in a Beninese cohort of children with repeated measurements.

Shukrullah Ahmadi, Florence Bodeau-Livinec, Roméo Zoumenou, André Garcia, David Courtin, Jules Alao, Nadine Fievet, Michel Cot, Achille Massougbodji, Jérémie Botton

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Development of Palatal Growth Charts for Unilateral Cleft Lip and Palate Before Primary Single-Stage Repair.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2026
    Article
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  8. Follow-Up of Elevated Blood Lead Levels and Sources in a Cohort of Children in Benin.International journal of environmental research and public health · 2020
    Article
  9. Growth Prediction of Under-5 Children Using Statistical Models for Eastern Region of India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
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

10 authors.

Shukrullah AhmadiUniversité de Paris, Centre of Research in Epidemiology and Statistics /CRESS, INSERM, INRA, Paris, France shukrullah.ahmadi@inserm.fr.ORCID 0000-0001-7071-8761
Florence Bodeau-LivinecUniversité de Paris, Centre of Research in Epidemiology and Statistics /CRESS, INSERM, INRA, Paris, France.
Roméo ZoumenouInstitut de Recherche pour le Développement (IRD), Cotonou, Benin.
André GarciaMERIT (Mère et Enfant Face aux Infections Tropicales)-UMR 216, Institut de Recherche pour le Développement (IRD), Université Paris Descartes, Paris, France.
David CourtinMERIT (Mère et Enfant Face aux Infections Tropicales)-UMR 216, Institut de Recherche pour le Développement (IRD), Université Paris Descartes, Paris, France.
Jules AlaoPaediatric Department, Mother and Child University and Hospital Center (CHU-MEL), Cotonou, Benin.
Nadine FievetMERIT (Mère et Enfant Face aux Infections Tropicales)-UMR 216, Institut de Recherche pour le Développement (IRD), Université Paris Descartes, Paris, France.
Michel CotMERIT (Mère et Enfant Face aux Infections Tropicales)-UMR 216, Institut de Recherche pour le Développement (IRD), Université Paris Descartes, Paris, France.
Achille MassougbodjiFaculté des Sciences de la Santé, Université d'Abomey-Calavi, Cotonou, Littoral, Benin.
Jérémie BottonEPI-PHARE Scientific Interest Group in Epidemiology of Health Products, French National Agency for the Safety of Medicines and Health Products and the French National Health Insurance, Saint-Denis, Ile-de-France, France.ORCID 0000-0002-4814-6370

Funding

Anemia in pregnancy in Benin and impact on cognitive function in childhoodR21HD060524 · NICHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BODEAU-LIVINEC, FLORENCE · 2010 to 2011
$336k
NICHD NIH HHS R21 HD060524
6 · The paper itself

Abstract

objectiveTo select a growth model that best describes individual growth trajectories of children and to present some growth characteristics of this population. SETTINGS: Participants were selected from a prospective cohort conducted in three health centres (Allada, Sekou and Attogon) in a semirural region of Benin, sub-Saharan Africa.

participantsChildren aged 0 to 6 years were recruited in a cohort study with at least two valid height and weight measurements included (n=961). PRIMARY AND SECONDARY OUTCOME MEASURES: This study compared the goodness-of-fit of three structural growth models (Jenss-Bayley, Reed and a newly adapted version of the Gompertz growth model) on longitudinal weight and height growth data of boys and girls. The goodness-of-fit of the models was assessed using residual distribution over age and compared with the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The best-fitting model allowed estimating mean weight and height growth trajectories, individual growth and growth velocities. Underweight, stunting and wasting were also estimated at age 6 years.

resultsThe three models were able to fit well both weight and height data. The Jenss-Bayley model presented the best fit for weight and height, both in boys and girls. Mean height growth trajectories were identical in shape and direction for boys and girls while the mean weight growth curve of girls fell slightly below the curve of boys after neonatal life. Finally, 35%, 27.7% and 8% of boys; and 34%, 38.4% and 4% of girls were estimated to be underweight, wasted and stunted at age 6 years, respectively.

conclusionThe growth parameters of the best-fitting Jenss-Bayley model can be used to describe growth trajectories and study their determinants.

Indexed as

Body HeightBayes TheoremBeninBody WeightChildChild, PreschoolCohort StudiesFemaleHumansInfantInfant, NewbornMalePregnancyProspective StudiesEpidemiologypaediatricspublic healthstatistics & research methods

Identifiers

PMID32948547
PMCPMC7511607

What OpenQuestion holds

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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.