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Mapping child growth failure in Africa between 2000 and 2015.
Osgood-Zimmerman, Aaron; Millear, Anoushka I; Stubbs, Rebecca W; Shields, Chloe; Pickering, Brandon V; Earl, Lucas; Graetz, Nicholas; Kinyoki, Damaris K; Ray, Sarah E; Bhatt, Samir; Browne, Annie J; Burstein, Roy; Cameron, Ewan; Casey, Daniel C; Deshpande, Aniruddha; Fullman, Nancy; Gething, Peter W; Gibson, Harry S; Henry, Nathaniel J; Herrero, Mario; Krause, L Kendall; Letourneau, Ian D; Levine, Aubrey J; Liu, Patrick Y; Longbottom, Joshua; Mayala, Benjamin K; Mosser, Jonathan F; Noor, Abdisalan M; Pigott, David M; Piwoz, Ellen G; Rao, Puja; Rawat, Rahul; Reiner, Robert C; Smith, David L; Weiss, Daniel J; Wiens, Kirsten E; Mokdad, Ali H; Lim, Stephen S; Murray, Christopher J L; Kassebaum, Nicholas J; Hay, Simon I.
Afiliação
  • Osgood-Zimmerman A; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Millear AI; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Stubbs RW; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Shields C; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Pickering BV; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Earl L; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Graetz N; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Kinyoki DK; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Ray SE; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Bhatt S; Department of Infectious Disease Epidemiology, Imperial College London, London SW7 2AZ, UK.
  • Browne AJ; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK.
  • Burstein R; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Cameron E; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK.
  • Casey DC; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Deshpande A; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Fullman N; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Gething PW; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK.
  • Gibson HS; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK.
  • Henry NJ; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Herrero M; Commonwealth Scientific and Industrial Research Organisation, St Lucia, Queensland 4067, Australia.
  • Krause LK; Bill & Melinda Gates Foundation, Seattle, Washington 98109, USA.
  • Letourneau ID; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Levine AJ; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Liu PY; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Longbottom J; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK.
  • Mayala BK; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Mosser JF; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Noor AM; Kenya Medical Research Institute-Wellcome Trust Collaborative Programme, Nairobi, Kenya.
  • Pigott DM; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7FZ, USA.
  • Piwoz EG; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Rao P; Bill & Melinda Gates Foundation, Seattle, Washington 98109, USA.
  • Rawat R; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Reiner RC; Bill & Melinda Gates Foundation, Seattle, Washington 98109, USA.
  • Smith DL; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Weiss DJ; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Wiens KE; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK.
  • Mokdad AH; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Lim SS; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Murray CJL; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Kassebaum NJ; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Hay SI; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
Nature ; 555(7694): 41-47, 2018 02 28.
Article em En | MEDLINE | ID: mdl-29493591
Insufficient growth during childhood is associated with poor health outcomes and an increased risk of death. Between 2000 and 2015, nearly all African countries demonstrated improvements for children under 5 years old for stunting, wasting, and underweight, the core components of child growth failure. Here we show that striking subnational heterogeneity in levels and trends of child growth remains. If current rates of progress are sustained, many areas of Africa will meet the World Health Organization Global Targets 2025 to improve maternal, infant and young child nutrition, but high levels of growth failure will persist across the Sahel. At these rates, much, if not all of the continent will fail to meet the Sustainable Development Goal target-to end malnutrition by 2030. Geospatial estimates of child growth failure provide a baseline for measuring progress as well as a precision public health platform to target interventions to those populations with the greatest need, in order to reduce health disparities and accelerate progress.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Desenvolvimento Infantil / Síndrome de Emaciação / Desnutrição / Crescimento / Transtornos do Crescimento Tipo de estudo: Prevalence_studies / Risk_factors_studies Limite: Child, preschool / Female / Humans / Infant / Male / Newborn País/Região como assunto: Africa Idioma: En Revista: Nature Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Desenvolvimento Infantil / Síndrome de Emaciação / Desnutrição / Crescimento / Transtornos do Crescimento Tipo de estudo: Prevalence_studies / Risk_factors_studies Limite: Child, preschool / Female / Humans / Infant / Male / Newborn País/Região como assunto: Africa Idioma: En Revista: Nature Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos