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Factors associated with Stunting in children under age 2 in the Cambodia and Kenya 2014 Demographic and Health Surveys

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dc.contributor.author Ettyang, Grace
dc.contributor.author Sawe, Caroline J
dc.date.accessioned 2021-05-25T08:43:35Z
dc.date.available 2021-05-25T08:43:35Z
dc.date.issued 2016
dc.identifier.uri http://ir.mu.ac.ke:8080/jspui/handle/123456789/4498
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher ICF International en_US
dc.subject Stunting en_US
dc.subject Gender inequality en_US
dc.title Factors associated with Stunting in children under age 2 in the Cambodia and Kenya 2014 Demographic and Health Surveys en_US
dc.type Article en_US


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