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Poor access to breastfeeding counseling services and associated factors among lactating mothers who had optimal antenatal care follow-up in Sub-saharan Africa: a multilevel analysis of the recent Demographic and Health Survey
被引:1
|作者:
Zegeye, Alebachew Ferede
[1
]
Gebrehana, Deresse Abebe
[2
]
Bezabih, Selamawit Abrha
[3
]
Mengistu, Seble Ayana
[4
]
Adane, Kassaw Chekole
[5
]
Lakew, Ayenew Molla
[6
]
机构:
[1] Univ Gondar, Coll Med & Hlth Sci, Sch Nursing, Dept Med Nursing, Gondar, Ethiopia
[2] Univ Gondar, Coll Med & Hlth Sci, Sch Med, Dept Internal Med, Gondar, Ethiopia
[3] Univ Gondar, Coll Med & Hlth Sci, Sch Med, Dept Otorhinolaryngol Head & Neck Surg, Gondar, Ethiopia
[4] Univ Gondar, Coll Med & Hlth Sci, Dept publ Hlth, Gondar, Ethiopia
[5] Wollo Univ, Coll Med & Hlth Sci, Dept Environm & Occupat Hlth & Safety, Dessie, Ethiopia
[6] Univ Gondar, Inst Publ Hlth, Coll Med & Hlth Sci, Dept Epidemiol & Biostat, Gondar, Ethiopia
关键词:
Antenatal care;
Associated factors;
Breastfeeding;
Optimal;
Poor access;
Sub-saharan Africa;
EDUCATION;
IMPACT;
POPULATION;
COUNTRIES;
DURATION;
BARRIERS;
D O I:
10.1186/s12913-024-12064-y
中图分类号:
R19 [保健组织与事业(卫生事业管理)];
学科分类号:
摘要:
Background Inadequate access to services for breastfeeding counseling results in poor breastfeeding practices and adverse health consequences. Although poor access to breastfeeding counseling services is a major challenge, its magnitude and determinantes are not well studied in developing countries. Therefore, this study assessed the magnitude and determinants of poor access to breastfeeding counseling services among lactating mothers who had optimal antenatal care follow-up in Sub-Saharan Africa. Methods Data from the recent Demographic and Health Surveys, involving a total of 289,929 women, were used for analysis. The determinants of poor access to breastfeeding counseling services were examined using a multilevel mixed-effects logistic regression model. Significant factors associated with poor access to breastfeeding counseling services were declared significant at p-values < 0.05. The adjusted odds ratio and confidence interval were used to interpret the results. A model with the lowest deviance and highest log likelihood ratio was selected as the best-fit model. Results In Sub-Saharan Africa, nearly one in two women with optimal antenatal care follow-up had poor access to breastfeeding counseling services. Maternal age (AOR = 1.18, 95% CI: 1.02, 1.38), maternal education (AOR = 1.128, 95% CI: 1.22, 1.35), distance to health facility (AOR = 1.17, 95% CI: 1.13, 1.21), media exposure (AOR = 1.12, 95% CI: 1.08, 1.17), wealth index (AOR = 1.05, 95% CI: 1.00, 1.10), place of delivery (AOR = 4.31, 95% CI: 4.11, 4.52), PNC (AOR = 3.92, 95% CI: 3.78, 4.07), mode of delivery (AOR = 1.88, 95% CI: 1.76, 2.02), birth interval (AOR = 1.12, 95% CI: 1.07, 1.17), residence (AOR = 1.14, 95% CI: 1.09, 1.18), community poverty (AOR = 1.09, 95% CI: 1.03, 1.15), community institutional delivery (AOR = 1.06, 95% CI: 1.01, 1.12), country category (AOR = 2.23, 95% CI: 2.10, 2.37), had higher odds of poor access to breastfeeding counseling services. Conclusions Poor access to breastfeeding counseling services among lactating mothers was found to be high. Both individual and community-level factors were determinants of poor access to breastfeeding counseling services. The Ministry of Health in Sub-Saharan Africa should give attention to those women who have not had a postnatal check-up and give birth at home while designing policies and strategies.
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