Evidence map›Paper›PMID 39228437›Full record

ArticleFrontiers in pediatrics2024

Determinants of neonatal hypoglycemia among neonates admitted to neonatal intensive care units of public hospitals in Wolaita Zone, Southern Ethiopia, 2023: An unmatched case-control study.

Dawit Tesfaye Wodajo, Woiynshet Gebretsadik, Zeleke Aschalew Melketsedik, Nathan Desalegn, Fikre Moga Lencha

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Article in Frontiers in pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dawit Tesfaye WodajoCollege of Health Sciences and Medicine, Wolaita Sodo University, Sodo, Ethiopia.
Woiynshet GebretsadikCollege of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia.
Zeleke Aschalew MelketsedikCollege of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia.
Nathan DesalegnCollege of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia.
Fikre Moga LenchaCollege of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Globally, neonatal hypoglycemia is a common child health problem and significantly contributes to morbidity and mortality, with its impact being particularly detrimental in developing countries. Although being a prevalent metabolic condition, it is frequently overlooked. Furthermore, the problem is not adequately studied in Ethiopia, as seen by a few published studies on the topic, highlighting the lack of knowledge about its determinants. Objective: This study aims to assess the determinants of neonatal hypoglycemia among neonates admitted to neonatal intensive care units of public hospitals in Wolaita Zone, Southern Ethiopia, 2023. Methods: An institution-based unmatched case-control study design was conducted among 249 (83 cases and 166 controls) participants. Data were collected from 29 March to 23 May 2023 using a pretested chart review extraction tool/checklist. A consecutive sampling method was used for participant selection. Data were analyzed using Statistical Package for Social Science version 25. Binary logistic regression analysis was used to identify the determinants of neonatal hypoglycemia, and statistical significance was declared at Results: A total of 83 cases and 166 controls were included in the study. The following factors were significantly associated with neonatal hypoglycemia: preterm neonates [adjusted odds ratio (AOR) 4.888 (95% confidence interval, CI, 1.113-21.478)], age of the neonate at admission (3-5 h) [AOR 4.205 (95% CI 1.852-9.547)], hypothermia [AOR 5.485 (95% CI 2.360-12.748)], late initiation of breastfeeding [AOR 6.229 (95% CI 2.665-14.599)], mode of delivery [AOR 5.034 (95% CI 1.688-15.011)], and small for gestational age [AOR 3.645 (95% CI 1.286-10.330)]. Conclusion and recommendation: In the current study, numerous determinants of neonatal hypoglycemia have been identified. Therefore, it is crucial to give due emphasis to providing comprehensive health education to mothers regarding effective breastfeeding methods, strategies to avoid neonatal hypoglycemia, and the various factors that heighten its likelihood. In addition, healthcare professionals should emphasize implementing preventive measures to prevent this grave condition.

Indexed as

case–controldeterminantshypoglycemianeonatalWolaita

Identifiers

PMID39228437
PMCPMC11368848

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.