TY - RPRT AU - Ettyang, Grace A. K. AU - Sawe, Caroline J. CY - Rockville, Maryland, USA TI - Factors associated with stunting in children under age 2 in the Cambodia and Kenya 2014 Demographic and Health Surveys T2 - DHS Working Papers No. 126 PB - ICF International PY - 2016 UR - http://dhsprogram.com/pubs/pdf/WP126/WP126.pdf AB - Background: This study examined the relationships between child, maternal, household, and gender inequality characteristics and child stunting in Kenya and Cambodia. Globally, an estimated 171 million children are stunted, including 167 million in low- and middle-income countries, with especially high prevalence levels in Africa and Asia. Child stunting reflects chronic undernutrition, which often begins before birth and is almost irreversible after the second year of life. Methods: The study analyzed data from the 2014 Demographic and Health Surveys (DHS surveys) in Kenya and Cambodia for children under age 2. Bivariate and logistic regression analyses were performed to find associations between the variables and child stunting. Results: The prevalence of stunting among children under age 2 in Kenya was 22%, and in Cambodia, 25%. Child’s age, perceived birth size, family wealth status, and region of residence were significantly associated with stunting. In both countries children from the richest households had 0.4 times lower odds of being stunted compared with those from the poorest households. In Kenya alone, female children had 0.6 times lower odds of being stunted compared with male children. In Cambodia alone, children from rural areas had 0.6 times lower odds of being stunted compared with those from urban areas, while children whose mothers were underweight had 1.7 times higher odds of being stunted than children whose mothers were not underweight. In both countries, there was general lack of a strong and significant relationship between gender inequality and child stunting. Conclusions: Children’s characteristics were more important in predicting stunting than factors related to mothers, households, or gender. More extensive analysis of the DHS data should be done to include other aspects of gender inequality, such as decisions on choice and preparation of food and purchase of household goods. N1 - For assistance using downloaded citations from The DHS Program, please visit http://dhsprogram.com/publications/Citing-DHS-Publications.cfm. The DHS Working Papers series is a prepublication series of papers reporting on research in progress that is based on Demographic and Health Surveys (DHS) data. This research is carried out with support provided by the United States Agency for International Development (USAID) through The DHS Program (#AIDOAA-C-13-00095). The views expressed are those of the authors and do not necessarily reflect the views of USAID or the United States Government. ER -