Classification tree analysis of stunting in Malian adolescent girls

American Journal of Human Biology : the Official Journal of the Human Biology Council
Lisa R Pawloski, Panagiota Kitsantas

Abstract

This study examines relationships between growth data and energy expenditure, economic status, and family structure among Malian adolescent girls, aged 10-17 years living in the Segou Region of Mali. Classification and regression trees (CART) were used as the primary methodology to identify high-risk subgroups for stunting (measured as height-for-age) in a sample of 1,103 Malian adolescents. Because CART has been used rarely to examine growth and development, this study provides a new way to better understand how economic status, family structure, and energy expenditure related factors influence stunting in Mali. The findings indicate that the greater the number of sisters and women in a household, the poorer the nutritional status of adolescent girls. The data also show that the presence of servants within the household may predict better nutritional success of young girls. Energy expenditure was an important predictor in the context of family structure regarding the number of sisters and the presence of servants. Wealth indicators did not appear in the final tree, suggesting that wealth may not play as great a role in predicting poor growth and nutritional status as family size and structure. In conclusion, classification tre...Continue Reading

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Citations

Mar 15, 2012·Public Health Nutrition·Lisa R PawloskiDavid Attaway
Oct 18, 2012·Public Health Nutrition·Constance A GewaLisa R Pawloski
Nov 6, 2009·Obstetrics and Gynecology·Reem HasanKatherine E Hartmann
Sep 5, 2008·American Journal of Human Biology : the Official Journal of the Human Biology Council·Zoë A SheppardPaula L Griffiths
Aug 21, 2009·American Journal of Human Biology : the Official Journal of the Human Biology Council·Timothy F Leslie, Lisa R Pawloski
May 6, 2014·Journal of Perinatal Medicine·Panagiota KitsantasHuichuan Wu

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