Spatial variation of short birth intervals and their determinant factors among reproductive women in Ethiopia using a geographically weighted regression model.
| Autor: | Arega GG; Department of Statistics, Samara University, Semera, Ethiopia., Mitku AA; Department of Statistics, Bahir Dar University, Bahir Dar, Ethiopia., Mohammed Hussen N; Department of Statistics, Samara University, Semera, Ethiopia., Mamaru Awoke S; Department of Statistics, Assosa University, Assosa, Ethiopia., Berelie Berehan H; Department of Statistics, Assosa University, Assosa, Ethiopia., Alem KJ; Department of Statistics, Jijiga University, Jijiga, Ethiopia. |
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| Jazyk: | angličtina |
| Zdroj: | Frontiers in medicine [Front Med (Lausanne)] 2024 Jul 09; Vol. 11, pp. 1363844. Date of Electronic Publication: 2024 Jul 09 (Print Publication: 2024). |
| DOI: | 10.3389/fmed.2024.1363844 |
| Abstrakt: | Background: In low- and middle-income nations, a significant proportion of maternal and infant deaths are caused by a short birth interval (SBI). In Ethiopia, it is the main factor contributing to maternal and infant mortality. Understanding the spatial distribution of SBIs, i.e., birth intervals of less than 33 months, and the factors that influence them is important for categorizing and promoting targeted interventions. This study used a geographically weighted regression model to evaluate the factors associated with SBIs in hot areas of Ethiopia. Methods: The 2019 Ethiopian Mini Demographic and Health Survey, which is nationally representative, provided the data for this study. The first step in the two-stage cluster design used to collect the data was enumeration areas, and the second stage was households. The survey was conducted between 21 March 2019 and 28 June 2019. A hot spot analysis (local Getis-Ord Gi* statistics) was initially used to investigate spatial variation in SBIs. Geographically weighted regression was used to examine the regional variation in the relationship between SBIs and the factors that cause them. Result: The study indicated that the overall proportion of SBIs among women in Ethiopia was 43.2%. The values for Global Moran's I (Moran's I = 0.773 and p < 0.001) showed the presence of significant SBIs clustering in Ethiopian administrative zones in Ethiopia. High-risk areas of the SBIs include Jarar, Doolo, Shabelle, Afder, Liben, Korahe, Nogob, West Harerge, Guji, Sidama, and Assosa zones. Conclusion: Living in a geographic region with a high proportion of uneducated women, women lacking breastfeeding practices, and followers of Orthodox religions increased the proportion of SBIs. Our full map of hot spots for short birth spacing and the factors that affect them helps in the implementation of precise public health measures for decision-makers. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2024 Arega, Mitku, Mohammed Hussen, Mamaru Awoke, Berelie Berehan and Alem.) |
| Databáze: | MEDLINE |
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