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Factors associated with the nutritional status of children under 5 years of age in Guinea between 2005 and 2018

Bibliographic Data

ID15094098
AuthorsSalifou Talassone Bangoura (0000-0001-6331-4777, Gamal Abdel Nasser University of Conakry, corresponding author), Muriel Rabilloud (0000-0003-1324-0356, Centre National de la Recherche Scientifique), Alioune Camara (0000-0001-5874-4641, Institut de Recherche Agronomique de Guinée), Séphora Campoy (Hospices Civils de Lyon), Mamoudou Condé (Gamal Abdel Nasser University of Conakry), Philippe Vanhems (0000-0003-3188-1456, École Normale Supérieure de Lyon), Kadio Jean-Jacques Olivier Kadio (0000-0003-4477-1336, Gamal Abdel Nasser University of Conakry), Abdoulaye Toure (0000-0003-2269-6611, Institut de Recherche Agronomique de Guinée), Nagham Khanafer (0000-0001-6455-238X, Inserm)
Year2023
Volume26
Issue3
Pages540-549
Publication date2023-03-01
Open AccessYes
TypeARTICLE
VenuePublic Health Nutrition (JOURNAL)
Journal identifiersISSN: 1368-9800 • E-ISSN: 1475-2727
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980022002622
PMID36539345
OpenAlexW4312032740
LanguageEN
References cited20

Objective: To determine the factors associated with the nutritional status of children under 5 years of age in Guinea between 2005 and 2018. Design: Data from the 2005, 2012 and 2018 Guinea Demographic and Health Surveys (DHS) were used for this study. Three anthropometric indicators (stunting, underweight and wasting) were assessed according to the 2006 WHO Child Growth Standards and analysed according to the year, the characteristics of the household, the child and the mother using multivariate logistic regression. Setting: Data were collected in the capital Conakry and in the seven administrative regions of Guinea. Participants: The study included children under 5 years of age for whom height and weight were available: 2765 (DHS-2005), 3220 (DHS-2012) and 3551 (DHS-2018). Results: Analysis of the data from the three surveys showed that children living in rural areas were more likely to be stunted than children living in urban areas (OR = 1·32, 95 % CI (1·08, 1·62)). Similarly, the children from middle, poor and the poorest households were more likely to be stunted and underweight than children from richest households. The chance to stunting increased with age in the first 3 years. However, the chance to wasting decreased with age. Children in all age groups were more likely of being underweight. Children of thin mothers were more likely to be both wasted (OR = 2·0, 95 % CI (1·5, 2·6)) and underweight (OR = 1·9, 95 % CI (1·5, 2·3)). Conclusion: The implementation of targeted interventions adapted to the observed disparities could considerably improve the nutritional status of children and mothers

Anthropometry · Body mass index · Environmental health · Logistic regression · Overweight · Psychological intervention · Underweight · Wasting · Weight for Age · Child Nutrition and Water Access · Demography · Global Maternal and Child Health · Medicine · Public Health and Nutrition · Gerontology

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