Individual and community level determinants of neonatal mortality in sub saharan Africa: findings from recent demographic and health survey data
Abstract Background A major cause of deaths among children under five is neonatal mortality, a worldwide problem. However, the problem in sub-Saharan Africa is not well documented. Understanding the prevalence of neonatal death and its related causes is crucial for creating efforts and policies that...
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BMC
2025-05-01
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| Series: | Italian Journal of Pediatrics |
| Online Access: | https://doi.org/10.1186/s13052-025-01997-7 |
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| author | Engidaw Fentahun Enyew Mihret Getnet Ashebir Mamay Gebiru Gashaw Dessie |
| author_facet | Engidaw Fentahun Enyew Mihret Getnet Ashebir Mamay Gebiru Gashaw Dessie |
| author_sort | Engidaw Fentahun Enyew |
| collection | DOAJ |
| description | Abstract Background A major cause of deaths among children under five is neonatal mortality, a worldwide problem. However, the problem in sub-Saharan Africa is not well documented. Understanding the prevalence of neonatal death and its related causes is crucial for creating efforts and policies that could help address the problem. This study set out to determine the prevalence of neonatal death and its determinants in sub-Saharan Africa. Methods Using secondary data analysis of demographic and health surveys conducted between 2014 and 2024 in sub-Saharan Africa. Total weighted samples of 133,448 live births in all during the period in 31 Sub- Saharan Africa. The determinants of neonatal mortality were identified using a multilevel mixed-effects logistic regression model. A multilevel binary logistic regression was fitted to identify the significant determinants of neonatal mortality. The Intra-class Correlation Coefficient, Median Odds Ratio, Proportional Change in Variance was used for assessing the clustering effect, and deviance for model comparison. Variables with a p-value < 0.2 in the Bivariable analysis were considered in the multivariable analysis. In the multivariable multilevel binary logistic regression analysis, Adjusted Odds Ratio with 95% CI was reported to declare statistically significant determinants of neonatal mortality. Results The neonatal mortality in sub-Saharan Africa was 32 per 1000 live births (95% CI: 30, 34). maternal occupation (AOR = 1.26, 95% CI: 1.16, 1.37), home delivery (AOR = 1.29; 95% CI: 1.21, 1.39), caesarean section (AOR = 1.58; 95%CI: 1.36, 1.83), twin births(AOR = 2.48, 95% CI: 2.05, 2.54), birth order of 2–4 (AOR = 1.30, 95% CI: 1.18, 1.44), birth order of ≥ 5 (AOR = 1.43, 95% CI: 1.31, 1.59) and smaller size than average (AOR = 1.49, 95% CI: 1.36, 1.63)were significantly associated with higher odds of neonatal mortality. Conclusion According to this study, in sub-Saharan Africa neonatal mortality rate was high. The following factors should be taken into account while developing policies and measures to reduce newborn mortality in sub-Saharan Africa: the mother’s education, wealth index, occupation, place of delivery, mode of delivery, twin birth, neonatal sex, birth order, and size at birth. |
| format | Article |
| id | doaj-art-24468465b61e47fbbc5dcc4c6de7ed61 |
| institution | Kabale University |
| issn | 1824-7288 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Italian Journal of Pediatrics |
| spelling | doaj-art-24468465b61e47fbbc5dcc4c6de7ed612025-08-20T03:48:15ZengBMCItalian Journal of Pediatrics1824-72882025-05-0151111010.1186/s13052-025-01997-7Individual and community level determinants of neonatal mortality in sub saharan Africa: findings from recent demographic and health survey dataEngidaw Fentahun Enyew0Mihret Getnet1Ashebir Mamay Gebiru2Gashaw Dessie3Department of Anatomy, School of Medicine, College of Medicine and Health Science, University of GondarDepartment of Human Physiology, School of Medicine, College of Medicine and Health Sciences, University of GondarDepartment of Epidemiology and biostatistics, Institute of public Health, College of Medicine and Health Sciences, University of GondarDepartment of Biochemistry, School of Medicine, College of Medicine and Health Sciences, University of GondarAbstract Background A major cause of deaths among children under five is neonatal mortality, a worldwide problem. However, the problem in sub-Saharan Africa is not well documented. Understanding the prevalence of neonatal death and its related causes is crucial for creating efforts and policies that could help address the problem. This study set out to determine the prevalence of neonatal death and its determinants in sub-Saharan Africa. Methods Using secondary data analysis of demographic and health surveys conducted between 2014 and 2024 in sub-Saharan Africa. Total weighted samples of 133,448 live births in all during the period in 31 Sub- Saharan Africa. The determinants of neonatal mortality were identified using a multilevel mixed-effects logistic regression model. A multilevel binary logistic regression was fitted to identify the significant determinants of neonatal mortality. The Intra-class Correlation Coefficient, Median Odds Ratio, Proportional Change in Variance was used for assessing the clustering effect, and deviance for model comparison. Variables with a p-value < 0.2 in the Bivariable analysis were considered in the multivariable analysis. In the multivariable multilevel binary logistic regression analysis, Adjusted Odds Ratio with 95% CI was reported to declare statistically significant determinants of neonatal mortality. Results The neonatal mortality in sub-Saharan Africa was 32 per 1000 live births (95% CI: 30, 34). maternal occupation (AOR = 1.26, 95% CI: 1.16, 1.37), home delivery (AOR = 1.29; 95% CI: 1.21, 1.39), caesarean section (AOR = 1.58; 95%CI: 1.36, 1.83), twin births(AOR = 2.48, 95% CI: 2.05, 2.54), birth order of 2–4 (AOR = 1.30, 95% CI: 1.18, 1.44), birth order of ≥ 5 (AOR = 1.43, 95% CI: 1.31, 1.59) and smaller size than average (AOR = 1.49, 95% CI: 1.36, 1.63)were significantly associated with higher odds of neonatal mortality. Conclusion According to this study, in sub-Saharan Africa neonatal mortality rate was high. The following factors should be taken into account while developing policies and measures to reduce newborn mortality in sub-Saharan Africa: the mother’s education, wealth index, occupation, place of delivery, mode of delivery, twin birth, neonatal sex, birth order, and size at birth.https://doi.org/10.1186/s13052-025-01997-7 |
| spellingShingle | Engidaw Fentahun Enyew Mihret Getnet Ashebir Mamay Gebiru Gashaw Dessie Individual and community level determinants of neonatal mortality in sub saharan Africa: findings from recent demographic and health survey data Italian Journal of Pediatrics |
| title | Individual and community level determinants of neonatal mortality in sub saharan Africa: findings from recent demographic and health survey data |
| title_full | Individual and community level determinants of neonatal mortality in sub saharan Africa: findings from recent demographic and health survey data |
| title_fullStr | Individual and community level determinants of neonatal mortality in sub saharan Africa: findings from recent demographic and health survey data |
| title_full_unstemmed | Individual and community level determinants of neonatal mortality in sub saharan Africa: findings from recent demographic and health survey data |
| title_short | Individual and community level determinants of neonatal mortality in sub saharan Africa: findings from recent demographic and health survey data |
| title_sort | individual and community level determinants of neonatal mortality in sub saharan africa findings from recent demographic and health survey data |
| url | https://doi.org/10.1186/s13052-025-01997-7 |
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