Construction of a visual nomogram prediction model for post-traumatic stress disorder in mothers of very low birth weight infants

Understanding the prevalence of PTSD among mothers of extremely low birth weight infants, identifying its independent risk factors, and developing a visual nomogram prediction model are critical for enabling early PTSD detection and facilitating clinical screening of high-risk mothers.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychiatry
Published
2025-07-16
DOI
https://doi.org/10.3389/fpsyt.2025.1550267
Primary Topic
Maternal Mental Health During Pregnancy and Postpartum
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Construction of a visual nomogram prediction model for post-traumatic stress disorder in mothers of very low birth weight infants

Ying Xu, Frank Leigh Lu, Xiaolong Jin
Frontiers in Psychiatry
Maternal Mental Health During Pregnancy and Postpartum
article

Construction of a visual nomogram prediction model for post-traumatic stress disorder in mothers of very low birth weight infants

Ying Xu, Frank Leigh Lu, Xiaolong Jin
article en

Abstract

Understanding the prevalence of PTSD among mothers of extremely low birth weight infants, identifying its independent risk factors, and developing a visual nomogram prediction model are critical for enabling early PTSD detection and facilitating clinical screening of high-risk mothers.

Frontiers in PsychiatryVol. 16
Shandong Provincial Hospital (CN), Shandong First Medical University (CN)
Openalex Percentile: Top 76%
Maternal Mental Health During Pregnancy and Postpartum
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.