Predictive Model for the Risk of Severe Acute Malnutrition in Children
Joint Authors
Aloni, Michel Ntetani
Mukuku, Olivier
Mutombo, Augustin Mulangu
Kamona, Lewis Kipili
Lubala, Toni Kasole
Mawaw, Paul Makan
Wembonyama, Stanislas Okitotsho
Luboya, Oscar Numbi
Source
Journal of Nutrition and Metabolism
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-01
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Background.
The nutritional status is the best indicator of the well-being of the child.
Inadequate feeding practices are the main factors that affect physical growth and mental development.
The aim of this study was to develop a predictive score of severe acute malnutrition (SAM) in children under 5 years of age.
Methods.
It was a case-control study.
The case group (n = 263) consisted of children aged 6 to 59 months admitted to hospital for SAM that was defined by a z-score weight/height < −3 SD or presence of edema of malnutrition.
We performed a univariate and multivariate analysis.
Discrimination score was assessed using the ROC curve and the calibration of the score by Hosmer–Lemeshow test.
Results.
Low birth weight, history of recurrent or chronic diarrhea, daily meal’s number less than 3, age of breastfeeding’s cessation less than 6 months, age of introduction of complementary diets less than 6 months, maternal age below 25 years, parity less than 5, family history of malnutrition, and number of children under 5 over 2 were predictive factors of SAM.
Presence of these nine criteria affects a certain number of points; a score <6 points defines children at low risk of SAM, a score between 6 and 8 points defines a moderate risk of SAM, and a score >8 points presents a high risk of SAM.
The area under ROC curve of this score was 0.9685, its sensitivity was 93.5%, and its specificity was 93.1%.
Conclusion.
We propose a simple and efficient prediction model for the risk of occurrence of SAM in children under 5 years of age in developing countries.
This predictive model of SAM would be a useful and simple clinical tool to identify people at risk, limit high rates of malnutrition, and reduce disease and child mortality registered in developing countries.
American Psychological Association (APA)
Mukuku, Olivier& Mutombo, Augustin Mulangu& Kamona, Lewis Kipili& Lubala, Toni Kasole& Mawaw, Paul Makan& Aloni, Michel Ntetani…[et al.]. 2019. Predictive Model for the Risk of Severe Acute Malnutrition in Children. Journal of Nutrition and Metabolism،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1183622
Modern Language Association (MLA)
Mukuku, Olivier…[et al.]. Predictive Model for the Risk of Severe Acute Malnutrition in Children. Journal of Nutrition and Metabolism No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1183622
American Medical Association (AMA)
Mukuku, Olivier& Mutombo, Augustin Mulangu& Kamona, Lewis Kipili& Lubala, Toni Kasole& Mawaw, Paul Makan& Aloni, Michel Ntetani…[et al.]. Predictive Model for the Risk of Severe Acute Malnutrition in Children. Journal of Nutrition and Metabolism. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1183622
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183622