Determinants of newborn birth size in Somaliland: an ordinal logistic regression analysis

Abdirahman Omar Ibrahim, Bashaar Ali Daud, Waleed Salahudiin Ahmed, Suhaib Muse Jama, Nagaad Abdinasir Habane, Rahma Yasin Ismail, Umulkhayr Mohamed Abadir, Amaani Abdilahi Sahal, Mohamed Said Hassan · 2025

Read Determinants of newborn birth size in Somaliland: an ordinal logistic regression analysis by Abdirahman Omar Ibrahim, Bashaar Ali Daud, Waleed Salahudiin Ahmed, Suhaib Muse Jama, Nagaad Abdinasir Habane, Rahma Yasin Ismail, Umulkhayr Mohamed Abadir, Amaani Abdilahi Sahal, Mohamed Said Hassan (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12752441.txt.

Description

Abdirahman Omar Ibrahim and a large team of co-authors published this 2025 study on what shapes the size of a newborn in Somaliland. Birth size foreshadows the survival odds of a baby, and local evidence for targeting help was thin. The team mined the 2020 Somali Health and Demographic Survey, 2,137 mother-infant pairs, with an ordinal regression model.

Mothers reported 9 percent of babies small, 75 percent average, and 16 percent large. Three forces predicted bigger babies. Household wealth led, with the richest families at 1.45 times the adjusted odds of the poorest. Birth order mattered too, second children ahead of firstborns. And mothers aged 30 to 34 doubled the odds of teenagers. The authors aim the findings at maternal programs that reach poor and very young mothers first.

Catalog record

CREATORAbdirahman Omar Ibrahim, Bashaar Ali Daud, Waleed Salahudiin Ahmed, Suhaib Muse Jama, Nagaad Abdinasir Habane, Rahma Yasin Ismail, Umulkhayr Mohamed Abadir, Amaani Abdilahi Sahal, Mohamed Said Hassan
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE27 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC12752441

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