Back to browse results
Geographical variation in determinants of high-risk fertility behavior among reproductive age women in Ethiopia using the 2016 demographic and health survey: a geographically weighted regression analysis
Authors: Zemenu Tadesse Tessema, Melkalem Mamuye Azanaw, Yeaynmarnesh Asmare Bukayaw, and Kassahun Alemu Gelaye
Source: Archives of Public Health, 78(Article number: 74): 1-12; DOI: 10.1186/s13690-020-00456-5
Topic(s): Contraception
Maternal health
Women's health
Country: Africa
Published: AUG 2020
Abstract: Background Maternal and child mortalities are the main public health problems worldwide and both are the major health concern in developing countries such as Africa and Asia. The fertility behavior of women characterized by maternal age, birth spacing, and order, impacts the health of women and children. The aim of this study was to assess the geographically variation in risk factors of high-risk fertility behavior (HRFB) among reproductive-age women in Ethiopia using the 2016 Demographic and Health Survey. Methods A total of 11,022 reproductive-age women were included in this study. The data were cleaned and weighted by STATA 14.1 software. Bernoulli based spatial scan statistics was used to identify the presence of pure high-risk fertility behavior spatial clusters using Kulldorff’s SaTScan version 9.6 software. ArcGIS 10.7 was used to visualize the spatial distribution of high-risk fertility behavior. Geographically weighted regression analysis was employed by multiscale geographical using Multiscale geographical weighted regression version 2.0 software. A p-value of less than 0.05 was used to declare statistically significant predictors (at a local level). Results Overall, 76% with 95% confidence interval of 75.60 to 77.20 of reproductive age women were faced with high-risk fertility problems in Ethiopia. High-risk fertility behavior was highly clustered in the Somali and Afar regions of Ethiopia. SaTScan identified 385 primary spatial clusters (RR?=?1.13, P?