Predicting Birth Outcomes Based on Maternal Anthropometry Using Ordinal Logistic Regression Approach: A Hospital Based Cross-Sectional Study in Sri Lanka

PPW, PWG, and MH can significantly predict selected birth outcomes in singleton pregnancies. These predictions will be useful for the provision of better perinatal care through early identification of high-risk newborns.

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Publication Details

Journal
Indian Journal of Public Health
Published
2025-09-20
DOI
https://doi.org/10.4103/ijph.ijph_74_24
Primary Topic
Healthcare Systems and Public Health
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting Birth Outcomes Based on Maternal Anthropometry Using Ordinal Logistic Regression Approach: A Hospital Based Cross-Sectional Study in Sri Lanka

N. R. Abeynayake, Champa Wijesinghe, Nuwan Darshana, Ruwanthi Kulathunga
Indian Journal of Public Health
Healthcare Systems and Public Health
article

Predicting Birth Outcomes Based on Maternal Anthropometry Using Ordinal Logistic Regression Approach: A Hospital Based Cross-Sectional Study in Sri Lanka

N. R. Abeynayake, Champa Wijesinghe, Nuwan Darshana, Ruwanthi Kulathunga
article en

Abstract

PPW, PWG, and MH can significantly predict selected birth outcomes in singleton pregnancies. These predictions will be useful for the provision of better perinatal care through early identification of high-risk newborns.

Indian Journal of Public HealthVol. 69(4)
University of Ruhuna (LK), Wayamba University of Sri Lanka (LK)
Openalex Percentile: Top 65%
Healthcare Systems and Public Health
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