Secular Trends in the Prevalence of Small Vulnerable Newborns in Japan, 1997–2021

The prevalence of SVNs in Japan has declined since 2005, mainly due to reduced term SGA births. Persistent rates of preterm subgroups highlight the ongoing burden of prematurity, underscoring the need for targeted strategies to improve neonatal outcomes.

Authors

Institutions

Publication Details

Journal
Journal of Epidemiology
Published
2025-09-05
DOI
https://doi.org/10.2188/jea.je20240447
Primary Topic
Neonatal Health and Biochemistry
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Secular Trends in the Prevalence of Small Vulnerable Newborns in Japan, 1997–2021

Naho Morisaki, Hibiki Doi, Kohei Ogawa, Mizuho Igarashi et al.
Journal of Epidemiology
Neonatal Health and Biochemistry
article

Secular Trends in the Prevalence of Small Vulnerable Newborns in Japan, 1997–2021

Naho Morisaki, Hibiki Doi, Kohei Ogawa, Mizuho Igarashi, Keisuke Yoshii, Tetsuya Isayama, Keiko Matsubara, Kenichi Kashimada
article en

Abstract

The prevalence of SVNs in Japan has declined since 2005, mainly due to reduced term SGA births. Persistent rates of preterm subgroups highlight the ongoing burden of prematurity, underscoring the need for targeted strategies to improve neonatal outcomes.

Journal of EpidemiologyVol. 36(3)
National Center For Child Health and Development (JP), National Institute of Child Health (PK), The University of Tokyo (JP)
National Center for Child Health and Development
Openalex Percentile: Top 67%
Neonatal Health and Biochemistry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.