Determinants of Low Birth Weight Among Newborns Delivered at Public Health Facilities of Bishoftu Town, East Shewa Zone, Ethiopia: Unmatched Case-Control Study.
Daniel BekeleBalay DhabaAbenet MeneneLeta HinkosaPublished in: BioMed research international (2024)
Background: Low birth weight (LBW) is a major global public health issue that can have a number of serious, potentially fatal health consequences. It is the most common cause of neonatal and child death in low- and middle-income countries, which also has a number of negative health effects. However, the determinants of LBWs were not yet completely recognized in Ethiopia. Thus, it is aimed at identifying the determinants of LBW among newborns delivered at public health facilities in Bishoftu town, Ethiopia. Methods: A facility-based unmatched case-control study was conducted at Bishoftu town. Data were collected from mothers having newborns with birth weight < 2500 gm (cases) and 2500 to 4000 gm (controls) using a pretested questionnaire and medical record review. Lastly, Epi Info 7 to enter the obtained data, and SPSS version 21 was used for analysis. Factors in the bivariate analysis with a p value less than 0.25 were added to the multivariable logistic regression, where a p value less than 0.05 was deemed statistically significant. Results: A total of 285 neonates (95 cases and 190 controls) were included in the study. Being not preeclampsia (AOR = 0.34; 95% CI: 0.13-0.88), lack of iron supplementation (AOR = 12.16; 95% CI: 5.40-27.42), preterm delivery (AOR = 7.49, 95% CI: 3.23-17.36), lack of information (AOR = 4.65, 95% CI: 1.37-15.750), and not experienced premature rupture of membranes (PROM) (AOR = 0.27; 95% CI: 0.08-0.91) were identified as statistically significant variables in LBW. Conclusion: LBW was significantly influenced by preeclampsia, PROM, missing iron-folate supplementation during pregnancy, and ignorance of the warning symptoms of premature delivery during pregnancy. Therefore, reducing LBW requires a lot of work, including developing effective interventions and monitoring policies.
Keyphrases
- low birth weight
- public health
- preterm infants
- human milk
- preterm birth
- gestational age
- south africa
- birth weight
- global health
- healthcare
- mental health
- early onset
- electronic health record
- weight gain
- depressive symptoms
- cross sectional
- pregnant women
- machine learning
- pregnancy outcomes
- data analysis
- long term care
- iron deficiency
- weight loss