Identification of anthropometric surrogate measurements and their cut-off points for the detection of low birth weight and premature newborn babies using ROC Analysis.
AUC, area under curve
Anthropometric measurement
BW, birth weight
CC, chest circumference
CI, confidence interval
DHS, Demographic and Health Survey
DOR, diagnostic odds ratio
EMDHS, Ethiopia Mini Demographic and Health Survey
FL, foot length
GA, gestational age
HC, head circumference
LBW
LBW, low birth weight
MUAC, mid-upper arm circumference
NICU, neonatal intensive care unit
NPV, negative predictive value
Non-parametric
PPV, positive predictive value
ROC analysis
ROC, receiver operating characteristics
WHO, World Health Organization
Journal
Journal of nutritional science
ISSN: 2048-6790
Titre abrégé: J Nutr Sci
Pays: England
ID NLM: 101590587
Informations de publication
Date de publication:
2023
2023
Historique:
received:
14
07
2022
revised:
06
02
2023
accepted:
07
02
2023
medline:
4
4
2023
entrez:
3
4
2023
pubmed:
4
4
2023
Statut:
epublish
Résumé
Despite the fact that health facilities in Ethiopia are being built closer to communities in all regions, the proportion of home deliveries remains high, and there are no studies being conducted to identify low birth weight (LBW) and premature newborn babies using simple, best, alternative, and appropriate anthropometric measurement in the study area. The objective of the present study was to find the simple, best, and alternative anthropometric measurement and identified its cut-off points for detecting LBW and premature newborn babies. A health facility-based cross-sectional study was conducted in the Dire Dawa city administration, Eastern Ethiopia. The study included 385 women who gave birth in health facility. To evaluate the overall accuracy of the anthropometric measurements, a non-parametric receiver operating characteristic curve was used. Chest circumference (AUC = 0⋅95) with 29⋅4 cm and mean upper arm circumference (AUC = 0⋅93) with 7⋅9 cm proved to be the best anthropometric diagnostic measure for LBW and gestational age, respectively. Also, both anthropometric measuring tools are achieved the highest correlation (
Identifiants
pubmed: 37008417
doi: 10.1017/jns.2023.20
pii: S2048679023000204
pmc: PMC10052390
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e32Informations de copyright
© The Author(s) 2023.
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