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
