Comparison of growth models to describe growth from birth to 6 years in a Beninese cohort of children with repeated measurements
2020
Ahmadi, Shukrullah | Bodeau-Livinec, Florence | Zoumenou, Roméo | Garcia, André | Courtin, David | Alao, Jules | Fievet, Nadine | Cot, Michel | Massougbodji, Achille | Botton, Jérémie | Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques (CRESS (U1153 / UMR_A 1125)) ; Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | École des Hautes Études en Santé Publique [EHESP] (EHESP) | Institut de Recherche pour le Développement [Cotonou, Bénin] (IRD) | Mère et enfant en milieu tropical : pathogènes, système de santé et transition épidémiologique (MERIT - UMR_D 261) ; Institut de Recherche pour le Développement (IRD)-Université Paris Cité (UPCité) | Centre Hospitalier Universitaire de la Mère et de l'Enfant Lagune (CHU-MEL) | Université d’Abomey-Calavi = University of Abomey Calavi (UAC) | Pharmaco-épidémiologie des produits de santé et sécurité sanitaire [Site de Saint Denis] (GIS EPIPHARE - ANSM) ; Agence nationale de sécurité du médicament et des produits de santé [Saint-Denis] (ANSM) | European and Developing Countries Clinical Trials Partnership (EDCTP)IP.2007.31080.002Malaria in Pregnancy ConsortiumInstituto de Salud Carlos IIIPI08/0564Federal Ministry of Education & Research (BMBF)FKZ: da01KA0803Institut de Recherche pour le Developpement (IRD), FranceBill & Melinda Gates FoundationCGIARFrench National Research Agency (ANR)United States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)R21-HD060524Fondation de France00079816 | ANR-10-PRSP-0012,TOLIMMUNPAL(2010)
International audience
显示更多 [+] 显示较少 [-]英语. Objective To 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.Participants Children 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.Results The 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.Conclusion The growth parameters of the best-fitting Jenss-Bayley model can be used to describe growth trajectories and study their determinants.
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