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Auteur Charles NEWTON |
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Children at risk for developmental delay can be recognised by stunting, being underweight, ill health, little maternal schooling or high gravidity / Amina ABUBAKAR in Journal of Child Psychology and Psychiatry, 51-6 (June 2010)
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Titre : Children at risk for developmental delay can be recognised by stunting, being underweight, ill health, little maternal schooling or high gravidity Type de document : Texte imprimé et/ou numérique Auteurs : Amina ABUBAKAR, Auteur ; Penny HOLDING, Auteur ; Fons J.R. VAN DE VIJVER, Auteur ; Charles NEWTON, Auteur ; Anneloes VAN BAAR, Auteur Année de publication : 2010 Article en page(s) : p.652-659 Langues : Anglais (eng) Mots-clés : Latent-growth-curves children Africa stunting underweight maternal-schooling health Index. décimale : PER Périodiques Résumé : Aims: To investigate markers of risk status that can be easily monitored in resource-limited settings for the identification of children in need of early developmental intervention.
Methods: Eighty-five children in Kilifi, Kenya, aged between 2 and 10 months at recruitment, were involved in a 10-month follow-up. Data on developmental outcome were collected through parental report using a locally developed checklist. We tested for the unique and combined influence of little maternal schooling and higher gravidity, anthropometric status (being underweight and stunting) and poor health on the level of developmental achievement and the rate of acquisition of developmental milestones.
Results: A model with all five predictors showed a good fit to the data (χ2(21, N = 85) = 23.00, p = .33). Maternal schooling and gravidity and child's stunting were found to predict the rate of developmental achievements (β = .24, β = .31, and β = .41, respectively). Being underweight, ill-health, stunting and gravidity predicted initial developmental status (β = −.26, β = −.27, β = −.43, and β = −.27).
Conclusions: Slow rates of developmental achievement can be predicted using these easy-to-administer measures and the strongest relationship with risk was based on a combination of all measures.En ligne : http://dx.doi.org/10.1111/j.1469-7610.2009.02193.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=101
in Journal of Child Psychology and Psychiatry > 51-6 (June 2010) . - p.652-659[article] Children at risk for developmental delay can be recognised by stunting, being underweight, ill health, little maternal schooling or high gravidity [Texte imprimé et/ou numérique] / Amina ABUBAKAR, Auteur ; Penny HOLDING, Auteur ; Fons J.R. VAN DE VIJVER, Auteur ; Charles NEWTON, Auteur ; Anneloes VAN BAAR, Auteur . - 2010 . - p.652-659.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 51-6 (June 2010) . - p.652-659
Mots-clés : Latent-growth-curves children Africa stunting underweight maternal-schooling health Index. décimale : PER Périodiques Résumé : Aims: To investigate markers of risk status that can be easily monitored in resource-limited settings for the identification of children in need of early developmental intervention.
Methods: Eighty-five children in Kilifi, Kenya, aged between 2 and 10 months at recruitment, were involved in a 10-month follow-up. Data on developmental outcome were collected through parental report using a locally developed checklist. We tested for the unique and combined influence of little maternal schooling and higher gravidity, anthropometric status (being underweight and stunting) and poor health on the level of developmental achievement and the rate of acquisition of developmental milestones.
Results: A model with all five predictors showed a good fit to the data (χ2(21, N = 85) = 23.00, p = .33). Maternal schooling and gravidity and child's stunting were found to predict the rate of developmental achievements (β = .24, β = .31, and β = .41, respectively). Being underweight, ill-health, stunting and gravidity predicted initial developmental status (β = −.26, β = −.27, β = −.43, and β = −.27).
Conclusions: Slow rates of developmental achievement can be predicted using these easy-to-administer measures and the strongest relationship with risk was based on a combination of all measures.En ligne : http://dx.doi.org/10.1111/j.1469-7610.2009.02193.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=101