Koray Munawar Harun, Wanjiru James Njuguna, Kerkula Johnson Socrates, Dushimirimana Theophile, Mieh Sudue Epaphroditus, Curry Tanya, Mugisha John, Kanu Lucas K
Upper West Regional Health Directorate, Wa, Ghana.
The Technical University of Kenya, Nairobi, Kenya.
BMC Public Health. 2025 May 15;25(1):1790. doi: 10.1186/s12889-025-23045-z.
Low rates of exclusive breastfeeding (EBF) contribute to high child mortality rates. This study aimed to identify the prevalence and factors influencing EBF in SSA using nationally representative data from the Demographic Health Survey program (DHS).
A cross-sectional study design using the most recent DHS data of 25 SSA countries from 2010 to 2023. A total of 17,431 women aged 15-49 years with infants below six months were included. Pearson's chi-square and multivariable logistic regression tests were used to test the association and predictors of EBF at a 95% confidence interval (CI) at a significance level of p ≤ 0.05.
The pooled prevalence of EBF across 25 Sub-Saharan African countries was 49%, ranging from 83% in Burundi to 19% in Gabon. Multivariable logistic regression revealed that older infants aged 2-3 months (AOR = 0.511, 95% CI: 0.458-0.570) and 4-5 months (AOR = 0.176, 95% CI: 0.156-0.198) had significantly lower odds of EBF compared to newborns (0-1 month). Overweight infants (AOR = 0.800, 95% CI: 0.647-0.987) and those experiencing fever (AOR = 0.805, 95% CI: 0.704-0.921) or diarrhea (AOR = 0.799, 95% CI: 0.683-0.935) were also less likely to be exclusively breastfed. Mothers with higher education (AOR = 0.700, 95% CI: 0.516-0.948) had reduced EBF odds. Wealthier households demonstrated higher odds (middle: AOR = 1.411, 95% CI: 1.185-1.681; richer: AOR = 1.539, 95% CI: 1.254-1.889; richest: AOR = 1.455, 95% CI: 1.119-1.892). Rural, the East (AOR = 2.588, 95% CI: 2.162-3.099) or West Africa (AOR = 3.018, 95% CI: 2.464-3.697) significantly increased EBF odds compared to urban areas and Central Africa, respectively.
This study highlights key factors influencing EBF in 25 Sub-Saharan African countries. The findings provide complex interplay of individual and community factors influencing EBF. To improve EBF, targeted interventions should focus on: supporting mothers of older infants, integrating counseling into child health services, addressing wealth gaps, and implementing region-specific strategies. Strengthening health systems and community engagement is crucial to overcome barriers and promote equitable breastfeeding practices.
纯母乳喂养率低导致儿童死亡率高。本研究旨在利用人口健康调查项目(DHS)具有全国代表性的数据,确定撒哈拉以南非洲地区纯母乳喂养的患病率及其影响因素。
采用横断面研究设计,使用2010年至2023年25个撒哈拉以南非洲国家的最新DHS数据。共纳入17431名年龄在15 - 49岁且婴儿年龄在六个月以下的妇女。使用Pearson卡方检验和多变量逻辑回归检验,在95%置信区间(CI)、显著性水平p≤0.05的情况下,检验纯母乳喂养的相关性和预测因素。
25个撒哈拉以南非洲国家的纯母乳喂养合并患病率为49%,范围从布隆迪的83%到加蓬的19%。多变量逻辑回归显示,与新生儿(0 - 1个月)相比,2 - 3个月(调整后比值比[AOR]=0.511,95% CI:0.458 - 0.570)和4 - 5个月(AOR = 0.176,95% CI:0.156 - 0.198)的较大婴儿纯母乳喂养的几率显著降低。超重婴儿(AOR = 0.800,95% CI:0.647 - 0.987)以及发烧(AOR = 0.805,95% CI:0.704 - 0.921)或腹泻(AOR = 0.799,95% CI:0.683 - 0.935)的婴儿纯母乳喂养的可能性也较小。受过高等教育的母亲(AOR = 0.700,95% CI:0.516 - 0.948)纯母乳喂养的几率降低。较富裕家庭的几率更高(中等:AOR = 1.411,95% CI:1.185 - 1.681;较富裕:AOR = 1.539,95% CI:1.254 - 1.889;最富裕:AOR = 1.455,95% CI:1.119 - 1.892)。与城市地区和中非相比,农村地区、东部(AOR = 2.588,95% CI:2.162 - 3.099)或西非(AOR = 3.018,95% CI:2.464 - 3.697)的纯母乳喂养几率显著增加。
本研究突出了影响25个撒哈拉以南非洲国家纯母乳喂养的关键因素。研究结果揭示了影响纯母乳喂养的个体和社区因素的复杂相互作用。为提高纯母乳喂养率,有针对性的干预措施应侧重于:支持较大婴儿的母亲,将咨询纳入儿童健康服务,解决财富差距问题,并实施针对特定地区的策略。加强卫生系统和社区参与对于克服障碍和促进公平的母乳喂养做法至关重要。