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

Hailegebreal, Samuel; Haile, Yosef; Seboka, Binyam Tariku; Enyew, Ermias Bekele; Shibiru, Tamiru; Mekonnen, Zeleke; Mengiste, Shegaw Anagaw

doi:10.1371/journal.pone.0273793

Cited by 6 publications

(4 citation statements)

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“…This concept is confirmed by earlier research findings for hot spots for women who did not breastfeed in these regions. This could be caused by many things, such as gaps in media accessibility, knowledge of the best time to begin pregnancy, and the accessibility of medical resources ( 23 ). Additionally, variations in socioeconomic, cultural, and demographic aspects among those administrative zones may account for the variation in SBI hot spots.…”

Section: Discussionmentioning

confidence: 99%

Spatial variation of short birth intervals and their determinant factors among reproductive women in Ethiopia using a geographically weighted regression model

Arega,

Mitku,

Mohammed Hussen

et al. 2024

Front. Med.

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BackgroundIn 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.MethodsThe 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.ResultThe 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.ConclusionLiving 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.

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Section: Discussionmentioning

confidence: 99%

Spatial variation of short birth intervals and their determinant factors among reproductive women in Ethiopia using a geographically weighted regression model

Arega,

Mitku,

Mohammed Hussen

et al. 2024

Front. Med.

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“…Factors affecting the late initiation of breast feeding have been identified in different studies. These include maternal age, 18 rural residence status, 19 marital status, 20 place of birth, 21 maternal educational level, 22 modes of delivery, [23][24][25] media exposure, 26 maternal body mass index, 27 parity, 28 29 counselling during antenatal care (ANC) appointment, 30 31 frequency of ANC, 32 poor wealth index, 33 births attended by skilled health personnel 34 and maternal knowledge of newborn danger signs. 35 By 2030, the Sustainable Development Goals aim to decrease newborn and under-five mortality to as low as 12 and 25 per 1000 live births, respectively.…”

Section: Open Accessmentioning

confidence: 99%

Predictors of late initiation of breastfeeding practice in Ethiopia: a multilevel mixed-effects analysis of recent evidence from EDHS 2019

Haile,

Abate,

Kitaw

2024

BMJ Open

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ObjectivesTo identify the predictors of late initiation of breastfeeding practice in Ethiopia.DesignCross-sectional study design.SettingEthiopia.ParticipantsA total of 1982 weighted samples of mothers with children aged under 24 months were included.Outcome measureLate initiation of breastfeeding practice.ResultsThe prevalence of late breastfeeding initiation practice is 26.4% (95 CI 24.4 to 28.3). Being a young mother (15–24 years) (adjusted odds ratio (AOR) =1.66; 95 CI 1.06 to 2.62), no antenatal care (ANC) visit (AOR=1.45; 95 CI 1.04 to 2.02), caesarean section (AOR=4.79; 95 CI 3.19 to 7.21) and home delivery (AOR=1.53; 95 CI 1.14 to 2.06) were found to be the determinants of late initiation of breast feeding.ConclusionMore than one-fourth of newborn children do not start breast feeding within the WHO-recommended time (first hour). Programmes should focus on promoting the health facility birth and increasing the ANC visits. Further emphasis should be placed on young mothers and those who deliver via caesarean section to improve the timely initiation of breast feeding.

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“…However, in developing countries, the rates of delayed initiation of breastfeeding and non-exclusive breastfeeding practices are significant. In Ethiopia, 24.22% of newborns experienced delayed initiation of breastfeeding [ 15 ], and 40.1% of children were not exclusively breastfed [ 16 ]. To enhance and reinforce early initiation of breast milk and exclusive breastfeeding for the first six months, it is crucial to identify the predictors that act as bottlenecks.…”

Section: Introductionmentioning

confidence: 99%

Predictors of delayed initiation of breast milk and exclusive breastfeeding in Ethiopia: A multi-level mixed-effect analysis

Abebe,

Tilahun,

Tadesse

et al. 2024

PLoS ONE

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Background Despite the well-established benefits of early initiation of breastfeeding and exclusive breastfeeding for the first six months to promote optimal neonatal and child health, evidence indicates that in Ethiopia, a significant number of newborns initiate breastfeeding late, do not adhere to exclusive breastfeeding (EBF) for the recommended duration, and instead are fed with bottles. Objective To determine the proportion of delayed initiation of breast milk, exclusive breastfeeding, and its individual and community-level predictors among mothers in Ethiopia. Methods A secondary data analysis was done using the 2019 Ethiopian Mini Demographic Health Survey data. We examined a weighted sample of 2,012 children born within the past 24 months and 623 children aged 0–5 months at the time of the survey. The data analysis was done using STATA version 15. To understand the variation in delayed initiation and exclusive breastfeeding, statistical measures such as the Intraclass correlation coefficient, median odds ratio, and proportional change in variance were calculated. We employed a multilevel mixed-effects logistic regression model to identify predictors for each outcome variable. Statistical significance was determined with a p-value < 0.05. Results The proportion of delayed initiation of breast milk and exclusive breastfeeding were 24.56 and 84.5%, respectively. Women aged 34–49 years old (AOR = 0.33: 95% CI; 0.15–0.72), having a television in the house (AOR = 0.74: 95%CI; 0.33–0.97), delivered by cesarean section (AOR = 3.83: 95% CI; 1.57–9.32), and resided in the Afar regional state (AOR = 1.43: 95%CI; 1.03–12.7) were significantly associated with delayed initiation of breast milk. On the other hand, attended primary education (AOR = 0.67: 95%CI; 0.35–0.99), secondary education (AOR = 0.34: 95%CI; 0.19–0.53), women whose household headed by male (AOR = 0.68; 95% CI; 0.34–0.97), and rural residents (AOR = 1.98: 95%CI; 1.09–3.43) were significantly associated with exclusive breastfeeding practice. Conclusion Health promotion efforts that encourage timely initation of breast milk and promote EBF, focused on young mothers, those who gave birth through cesarean section, and those residing in urban and the Afar regional state. Furthermore, government health policymakers and relevant stakeholders should consider these identified predictors when revising existing strategies or formulating new policies.

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

Cited by 6 publications

References 45 publications

Spatial variation of short birth intervals and their determinant factors among reproductive women in Ethiopia using a geographically weighted regression model

Spatial variation of short birth intervals and their determinant factors among reproductive women in Ethiopia using a geographically weighted regression model

Predictors of late initiation of breastfeeding practice in Ethiopia: a multilevel mixed-effects analysis of recent evidence from EDHS 2019

Predictors of delayed initiation of breast milk and exclusive breastfeeding in Ethiopia: A multi-level mixed-effect analysis

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