The Relationship between Stunting and Some Demographic and Socioeconomic Factors among Yemeni Children and Adolescents | Chapter 6 | Current Trends in Disease and Health Vol. 3
The purpose of this study is to evaluate the influence of sex, residence area, age group, school enrollment, poverty status and income quintiles variables on the prevalence of stunting among Yemeni children and adolescents. The investigation was done on all children and adolescents (3004) aged 5-19 years that included in the last Yemeni household Budget Survey (YHBS) data of 2005/2006. The data included a classification to the poverty status of surveyed households. The cutoff of -2 z scores of the height-for-age reference suggested by NCHS, was used to calculate the prevalence rate of stunting. Descriptive, categorical testing, logit modelling statistical analysis tools were used in the investigation. The statistical analysis shows the overall prevalence rate of stunting as 49.5% and the prevalence of stunting among males is higher than females. The prevalence of stunting among rural children and adolescents is higher than the urban children and adolescents and among children and adolescents who were not enrolled is higher than those enrolled. Children and adolescents of poor households were suffering from stunting (52.8%) as comparing to children and adolescents of non-poor households (47.7%). Children and adolescents living with the poorest, second and middle-income households were 1.76, 1.73 and 1.46 times more likely to be stunted respectively. The research provides an evidence that the childhood health situation in Yemen is chaotic and needs careful and effective cooperation and efforts both nationally and internationally to divert the foreseen danger looming.
Muhammed A. K. Al-Mansoob
Department of Mathematics, Faculty of Science, Sana’a University, P.O. Box 12092, Yemen
Muhammed S. A. Masood
Department of Mathematics, Faculty of Education and Language, Amran University, Yemen.
Tag: – Yemen; children; adolescents; stunting; NCHS; risk factors.