Undernutrition in Benin - an analysis based on graphical models

被引:18
作者
Caputo, A
Foraita, R
Klasen, S
Pigeot, I
机构
[1] Univ Munich, Dept Econ, D-80539 Munich, Germany
[2] Univ Bremen, Dept Stat, D-28334 Bremen, Germany
[3] Univ Freiburg, Dept Med Biometry & Med Informat, D-79104 Freiburg, Germany
关键词
conditional independence; developing countries; graphical chain models; indirect influences; undernutrition; Benin;
D O I
10.1016/S0277-9536(02)00162-4
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Undernutrition is one of the most important health problems in developing countries. Examining its determinants implies the investigation of a complex association structure including a large number of potential influence variables and different types of influences. A recently developed statistical technique to cope with such situations are graphical chain models. In this paper, this approach is used to investigate the determinants of undernutrition in Benin (West Africa). Since this method also reveals indirect influences, interesting insight is gained into the association structure of all variables incorporated. The analysis identifies mother's education, socioeconomic status, and religion as three variables with particularly strong direct and indirect linkages to undernutrition. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:1677 / 1691
页数:15
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