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Unintended Childbearing and Child Growth in Northern Malawi.
Baschieri, Angela; Machiyama, Kazuyo; Floyd, Sian; Dube, Albert; Molesworth, Anna; Chihana, Menard; Glynn, Judith R; Crampin, Amelia C; French, Neil; Cleland, John.
  • Baschieri A; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK. angela.baschieri@lshtm.ac.uk.
  • Machiyama K; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
  • Floyd S; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
  • Dube A; Community Health Department, College of Medicine, University of Malawi, Zomba, Malawi.
  • Molesworth A; School of Clinical Sciences, University of Edinburgh, Edinburgh, UK.
  • Chihana M; Institute of Infection and Global Health, University of Liverpool, Liverpool, UK.
  • Glynn JR; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
  • Crampin AC; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
  • French N; Karonga Prevention Study, Karonga, Malawi.
  • Cleland J; Institute of Infection and Global Health, University of Liverpool, Liverpool, UK.
Matern Child Health J ; 21(3): 467-474, 2017 03.
Article en En | MEDLINE | ID: mdl-27491527
ABSTRACT
Objective The study aims to assess whether unintended children experience slower growth than intended children. Methods We analysed longitudinal data linked to the Karonga Health and Demographic Surveillance Site collected over three rounds between 2008 and 2011 on women's fertility intentions and anthropometric data of children. Using the prospective information on fertility intention we assessed whether unintended children are more likely to be stunted than intended children. We applied Propensity Score Matching technique to control for endogenous factors affecting both the probability that a family has an unwanted birth and a child with poor health outcomes. Results We found that 24 % of children from unwanted pregnancies were stunted compared with 18 % of mistimed pregnancies and 17 % of those from wanted pregnancies. However, these differences in probability of children being stunted, though in the expected direction, were not significant either for large or small families, after controlling for age. The number of children in the household was associated with stunting and boys were substantially more likely to be stunted than girls. Conclusion We found no significance difference in probability of being stunted by mother's fertility intention.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Desarrollo Infantil / Niño no Deseado / Intención Tipo de estudio: Observational_studies / Risk_factors_studies / Screening_studies Límite: Adolescent / Adult / Female / Humans / Middle aged / Newborn / Pregnancy País como asunto: Africa Idioma: En Año: 2017 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Desarrollo Infantil / Niño no Deseado / Intención Tipo de estudio: Observational_studies / Risk_factors_studies / Screening_studies Límite: Adolescent / Adult / Female / Humans / Middle aged / Newborn / Pregnancy País como asunto: Africa Idioma: En Año: 2017 Tipo del documento: Article