SPATIAL VARATION OF OVERWEIGHT/OBESITY AND ASSOCAITED FACTOR AMONG REPRODUCTIVE AGE GROUP WOMEN IN ETHIOPIA, EVIDENCE FROM EDHS 2016: SPATIAL ANALYSIS

Abstract

Abstract Introduction: Globally, at least 2.8 million people die from being overweight or obese. Overweight and obesity in women increases to exposes miscarriage, perinatal mortality, congenital malformations, and instrumental delivery. Objective: This study aimed to explore the spatial variation of overweight/obesity and factor associated among reproductive age group women in Ethiopia. Method: Data from 2016 Ethiopian Demographic Health survey was used. A total weighted sample of 10,928 reproductive age women were included in the study. ArcGIS version10.7 was used to explore the spatial variation of overweight/obesity. Bernoulli based model was used to analyze the purely spatial cluster detection of overweight/obesity through SaTScan version 9.6.1 software. Ordinary Least Square analysis and geographically weighted regression analysis was employed to assess the association between an outcome variable and explanatory variables by using ArcGIS 10.7 software. A model with the lowest AICc value and a higher adjusted Rsquared

value was used to determine the best fit model for local parameter and pvalue of less than 0.05 was used to declare statically significant.

Result: The spatial distribution of overweight/obesity in Ethiopia was clustered. Hot spots regions for overweight/obesity were detected in Addis Ababa, harrari, Dire Dawa, some part of amhara and afar, most part of oromia, Somalia and South Nation Nationality and People region. In geographically weighted regression, rich wealth index, women’s age (35-39 and 40-44 years), watching TV, internet use and not working were statistically significant that affecting spatial variation of overweight/obesity. Conclusion: National and regional policymakers and health planners should give priority to the identified hot spot clusters to design an effective intervention program at Addis Ababa, southeast amhara and some part of oromia region to reduce overweight/obesity. Key word: overweight/obesity, spatial variation, GWR, Ethiopia