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      Modeling spatial determinants of initiation of breastfeeding in Ethiopia: A geographically weighted regression analysis

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          Abstract

          Background

          The World Health Organization (WHO) encourages breastfeeding to begin within the first hour after birth in order to save children’s lives. In Ethiopia, different studies are done on the prevalence and determinants of breastfeeding initiation, up to our knowledge, the spatial distribution and the spatial determinants of breast feeding initiation over time are not investigated. Therefore, the objectives of this study were to assess spatial variation and its spatial determinant of delayed initiation of breastfeeding in Ethiopia using Geographically Weighted Regression (GWR).

          Methods

          A cross-sectional study was undertaken using the nationally representative 2016 Ethiopian Demographic and Health Survey (EDHS) dataset. Global Moran’s I statistic was used to measure whether delayed breastfeeding initiation was dispersed, clustered, or randomly distributed in study area. Ordinary Least Squares (OLS) regression was used to identify factors explaining the geographic variation in delayed breastfeeding initiation. Besides, spatial variability of relationships between dependent and selected predictors was investigated using geographically weighted regression.

          Result

          A total weighted sample of 4169 children of aged 0 to 23 months was included in this study. Delayed initiation of breastfeeding was spatially varies across the country with a global Moran’s I value of 0.158 at (p-value<0.01). The hotspot (high risk) areas were identified in the Amhara, Afar, and Tigray regions. Orthodox religion, poor wealth index, caesarian section, baby postnatal checkup, and small size of a child at birth were spatially significant factors for delayed breastfeeding initiation in Ethiopia.

          Conclusion

          In Ethiopia initiation of breastfeeding varies geographically across region. A significant hotspot was identified in the Amhara, Afar, and Tigray regions. The GWR analysis revealed that orthodox religion, poor wealth index, caesarian section, baby postnatal checkup, and small birth weight were spatially significant factors.

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          Most cited references30

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          Delayed breastfeeding initiation and infant survival: A systematic review and meta-analysis

          Objective To assess the existing evidence regarding breastfeeding initiation time and infant morbidity and mortality. Study design We conducted a systematic review and meta-analysis. We searched Pubmed, Embase, Web of Science, CINAHL, Popline, LILACS, AIM, and Index Medicus to identify existing evidence. We included observational studies and randomized control trials that examined the association between breastfeeding initiation time and mortality, morbidity, or nutrition outcomes from birth through 12 months of age in a population of infants who all initiated breastfeeding. Two reviewers independently extracted data from eligible studies using a standardized form. We pooled effect estimates using fixed-effects meta-analysis. Results We pooled five studies, including 136,047 infants, which examined the association between very early breastfeeding initiation and neonatal mortality. Compared to infants who initiated breastfeeding ≤1 hour after birth, infants who initiated breastfeeding 2–23 hours after birth had a 33% greater risk of neonatal mortality (95% CI: 13–56%, I2 = 0%), and infants who initiated breastfeeding ≥24 hours after birth had a 2.19-fold greater risk of neonatal mortality (95% CI: 1.73–2.77, I2 = 33%). Among the subgroup of infants exclusively breastfed in the neonatal period, those who initiated breastfeeding ≥24 hours after birth had an 85% greater risk of neonatal mortality compared to infants who initiated <24 hours after birth (95% CI: 29–167%, I2 = 33%). Conclusions Policy frameworks and models to estimate newborn and infant survival, as well as health facility policies, should consider the potential independent effect of early breastfeeding initiation.
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            Exclusive breastfeeding and associated factors among mothers in Debre Markos, Northwest Ethiopia: a cross-sectional study

            Background Exclusive breastfeeding is the most widely known and effective intervention for preventing early-childhood deaths. Optimum breastfeeding practices can prevent 1.4 million deaths worldwide among children under five every year. The aim of this study was to assess the prevalence of exclusive breastfeeding and associated factors among mothers who have an infant less than six months old in Debre Markos, Northwest Ethiopia. Methods A community based cross-sectional study was conducted from April 1 to 30, 2013. A simple random sampling technique was used from a list of all mothers who had an infant less than six months old obtained from the health extension workers (HEWs) registration book in all kebeles (neighbourhoods) of the city. A total of 423 mothers with infants less than six months old were included in this study. Data were collected using questionnaires administered at interview. Both bivariate and multivariate logistic regression analyses were carried out to identify factors associated with exclusive breastfeeding. Results The prevalence of exclusive breastfeeding during the seven days before the survey was 60.8% (95% CI: 55.8%, 65.8%). Those mothers who were unemployed [AOR = 1.98 (1.21, 3.22)], received breastfeeding counseling during antenatal care (ANC) [AOR = 2.44 (1.53, 3.91)], received infant feeding counseling during postnatal care (PNC) [AOR = 5.03 (3.04, 8.31)], didn’t give prelacteal feeding [AOR = 3.44 (1.88, 6.33)] and had adequate knowledge about breastfeeding [AOR = 2.57 (1.57, 4.19)] were more likely to practice EBF than their counterparts. Conclusions Although the prevalence of exclusive breastfeeding was lower in the study area than international recommendations, rates were higher than found in other studies. Recommendations for improving exclusive breastfeeding include better support for working mothers through extending maternal leave and establishing work-site day care centers for infants, expanding the urban health extension program so that more pregnant women and mothers can be taught about appropriate infant and young child feeding practices and how to express their milk, thereby increasing their breastfeeding knowledge.
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              Prevalence of early initiation of breastfeeding and determinants of delayed initiation of breastfeeding: secondary analysis of the WHO Global Survey

              Early initiation of breastfeeding (EIBF) within 1 hour of birth can decrease neonatal death. However, the prevalence of EIBF is approximately 50% in many developing countries, and data remains unavailable for some countries. We conducted a secondary analysis using the WHO Global Survey on Maternal and Perinatal Health to identify factors hampering EIBF. We described the coverage of EIBF among 373 health facilities for singleton neonates for whom breastfeeding was initiated after birth. Maternal and facility characteristics of EIBF were compared to those of breastfeeding >1 hour after birth, and multiple logistic regression analysis was performed. In total, 244,569 singleton live births without severe adverse outcomes were analysed. The EIBF prevalence varied widely among countries and ranged from 17.7% to 98.4% (average, 57.6%). There was less intra-country variation for BFI <24 hours. After adjustment, EIBF was significantly lower among women with complications during pregnancy and caesarean delivery. Globally, EIBF varied considerably across countries. Maternal complications during pregnancy, caesarean delivery and absence of postnatal/neonatal care guidelines at hospitals may affect EIBF. Our findings suggest that to better promote EIBF, special support for breastfeeding promotion is needed for women with complications during pregnancy and those who deliver by caesarean section.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Project administration
                Role: Methodology
                Role: Data curationRole: MethodologyRole: Supervision
                Role: ConceptualizationRole: Formal analysis
                Role: SupervisionRole: Writing – review & editing
                Role: Project administrationRole: Software
                Role: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                15 September 2022
                2022
                : 17
                : 9
                : e0273793
                Affiliations
                [1 ] Department of Health Informatics, College of Medicine and Health Science, School of Public Health, Arba Minch University, Arba Minch, Ethiopia
                [2 ] School of Public Health, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia
                [3 ] Department of Health Informatics, College of Medicine and Health Sciences, Dilla University, Dilla, Ethiopia
                [4 ] Department of Health Informatics, Institute of Public Health, Mettu University, Mettu, Ethiopia
                [5 ] School of Medicine, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia
                [6 ] Health System Directorate, Ministry of Health, Addis Ababa, Ethiopia
                [7 ] University of South-Eastern Norway, Kongsberg, Norway
                PLOS: Public Library of Science, UNITED KINGDOM
                Author notes

                Competing Interests: The authors declare that they have no competing interests.

                Author information
                https://orcid.org/0000-0003-0887-7803
                https://orcid.org/0000-0002-8309-5986
                Article
                PONE-D-22-01403
                10.1371/journal.pone.0273793
                9477376
                36107834
                91d749d5-73f3-4f8f-8682-bb3229a42b0c
                © 2022 Hailegebreal et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 January 2022
                : 15 August 2022
                Page count
                Figures: 10, Tables: 3, Pages: 17
                Funding
                Award Recipient :
                The authors received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Breast Feeding
                Medicine and Health Sciences
                Pediatrics
                Neonatology
                Breast Feeding
                People and Places
                Geographical Locations
                Africa
                Ethiopia
                Earth Sciences
                Geography
                People and Places
                Population Groupings
                Ethnicities
                African People
                Amhara People
                Social Sciences
                Anthropology
                Cultural Anthropology
                Religion
                Social Sciences
                Sociology
                Religion
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Birth Weight
                People and Places
                Population Groupings
                Ethnicities
                African People
                Somalian People
                Computer and Information Sciences
                Geoinformatics
                Spatial Analysis
                Earth Sciences
                Geography
                Geoinformatics
                Spatial Analysis
                Custom metadata
                The data we used for this study is available in the DHS program. A letter of approval for the use of the data was secured from the Measure DHS program and the data set was downloaded from the website www.measuredhs.com ( https://dhsprogram.com/data/available-datasets.cfm). We used EDHS 2016 Kids data set (KR file) and extracted the outcome variable (Breast feeding initiation) and explanatory variables. The location data (latitude and longitude coordinates) was also taken from selected enumeration areas (clusters).

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