Determining Anterior Fontanel Size and Associated Factors Among Term Neonates on the First Day of Life Born at Jimma University Medical Center (JUMC), Southwest Ethiopia: A Linear Regression Model.

Ethiopia anterior fontanel associated factors linear regression term neonate

Journal

Pediatric health, medicine and therapeutics
ISSN: 1179-9927
Titre abrégé: Pediatric Health Med Ther
Pays: New Zealand
ID NLM: 101655856

Informations de publication

Date de publication:
2021
Historique:
received: 05 01 2021
accepted: 07 05 2021
entrez: 9 6 2021
pubmed: 10 6 2021
medline: 10 6 2021
Statut: epublish

Résumé

Knowledge of the normal variation in AF size may be helpful to cue early diagnosis of congenital hypothyroidism, hyperthyroidism, cardiac disease, meningitis, degree of dehydration or provide a clue to disorders of neural and skeletal development. However, the data is scarce. Therefore, this study was aimed to determine AF size and associated factors among term neonates on the first day of life born in Jimma University Medical Center (JUMC), Southwest Ethiopia. An institution-based cross-sectional study design was used to consecutively sample term and health newborns. Descriptive statistics, one-way ANOVA, independent samples The mean AF size of the study population was 3.018 cm with standard deviation (±SD) of 0.909 cm (range 0.4-5.50cm). A multiple linear regression analysis revealed that neonatal birth weight (B=0.001, 95% CI: 0.000-0.001, p=0.000), crown heel length (B=0.048, 95% CI, 0.018-0.078, p=0.002), labor duration (B= -0.028, p=0.001, 95% CI: -0.45; -0.012), and gender of the neonates (B=-0.275, 95% CI: -.441; -.109, p=0.001) were statistically significantly associated with AF size. In a multiple linear regression analysis AF size was explained by independent variables by 54.3%. AF size of the study population was 3.018 cm with a standard deviation (±SD) of 0.909 cm. Birth weight, crown heel length, duration of labor, and gender of the neonate were significantly associated with AF size.

Sections du résumé

BACKGROUND BACKGROUND
Knowledge of the normal variation in AF size may be helpful to cue early diagnosis of congenital hypothyroidism, hyperthyroidism, cardiac disease, meningitis, degree of dehydration or provide a clue to disorders of neural and skeletal development. However, the data is scarce. Therefore, this study was aimed to determine AF size and associated factors among term neonates on the first day of life born in Jimma University Medical Center (JUMC), Southwest Ethiopia.
METHODOLOGY METHODS
An institution-based cross-sectional study design was used to consecutively sample term and health newborns. Descriptive statistics, one-way ANOVA, independent samples
RESULTS RESULTS
The mean AF size of the study population was 3.018 cm with standard deviation (±SD) of 0.909 cm (range 0.4-5.50cm). A multiple linear regression analysis revealed that neonatal birth weight (B=0.001, 95% CI: 0.000-0.001, p=0.000), crown heel length (B=0.048, 95% CI, 0.018-0.078, p=0.002), labor duration (B= -0.028, p=0.001, 95% CI: -0.45; -0.012), and gender of the neonates (B=-0.275, 95% CI: -.441; -.109, p=0.001) were statistically significantly associated with AF size. In a multiple linear regression analysis AF size was explained by independent variables by 54.3%.
CONCLUSIONS CONCLUSIONS
AF size of the study population was 3.018 cm with a standard deviation (±SD) of 0.909 cm. Birth weight, crown heel length, duration of labor, and gender of the neonate were significantly associated with AF size.

Identifiants

pubmed: 34104041
doi: 10.2147/PHMT.S300399
pii: 300399
pmc: PMC8179810
doi:

Types de publication

Journal Article

Langues

eng

Pagination

269-278

Informations de copyright

© 2021 Sheleme et al.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

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Auteurs

Merga Sheleme (M)

School of Medicine, College of Health and Medical Science, Haramaya University, Harar, Ethiopia.

Tilahun Alemayehu Nigatu (TA)

Department of Biomedical Sciences, College of Medical Sciences, Institute of Health Sciences, Jimma University, Jimma, Ethiopia.

Teka Gebremariam (T)

Department of Biomedical Sciences, College of Medical Sciences, Institute of Health Sciences, Jimma University, Jimma, Ethiopia.

Tesema Etefa (T)

Department of Biomedical Sciences, College of Medical Sciences, Institute of Health Sciences, Jimma University, Jimma, Ethiopia.

Abdi Birhanu (A)

School of Medicine, College of Health and Medical Science, Haramaya University, Harar, Ethiopia.

Classifications MeSH