Factors Associated With Post-term Birth and Its Relationship to Neonatal Mortality in Japan: An Analysis of National Data From 2017 to 2022

In Japan, post-term birth represents a risk factor for neonatal mortality. Additionally, socio-demographic characteristics, such as maternal marital status, nationality, and parity were found to be predictors of post-term birth.

Authors

Institutions

Publication Details

Journal
Journal of Preventive Medicine and Public Health
Published
2024-10-18
DOI
https://doi.org/10.3961/jpmph.24.355
Primary Topic
Pregnancy and preeclampsia studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Factors Associated With Post-term Birth and Its Relationship to Neonatal Mortality in Japan: An Analysis of National Data From 2017 to 2022

Naoki Nakashima, Tasuku Okui
Journal of Preventive Medicine and Public Health
Pregnancy and preeclampsia studies
article

Factors Associated With Post-term Birth and Its Relationship to Neonatal Mortality in Japan: An Analysis of National Data From 2017 to 2022

Naoki Nakashima, Tasuku Okui
article en

Abstract

In Japan, post-term birth represents a risk factor for neonatal mortality. Additionally, socio-demographic characteristics, such as maternal marital status, nationality, and parity were found to be predictors of post-term birth.

Journal of Preventive Medicine and Public HealthVol. 57(6)
Kyushu University Hospital (JP)
Japan Society for the Promotion of Science
Good health and well-being
Openalex Percentile: Top 71%
Pregnancy and preeclampsia studies
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.