Psychometric testing of Chinese version of screening tools (PASS) and GAD among perinatal population: hospital based evidence 2023

The result of this study show that the Chinese-PASS had a reasonably adequate validity and reliability and can be used to screen for anxiety disorder among women during the perinatal period.

Authors

Institutions

Publication Details

Journal
BMC Psychiatry
Published
2025-03-11
DOI
https://doi.org/10.1186/s12888-025-06670-1
Citations
3
Primary Topic
Neonatal and fetal brain pathology
Type
article
Field-Weighted Citation Impact
10.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Psychometric testing of Chinese version of screening tools (PASS) and GAD among perinatal population: hospital based evidence 2023

Mei He, Rong Hu, Changqing Pan, Xixi Li et al.
3 citations
BMC Psychiatry
Neonatal and fetal brain pathology
10.48
article

Psychometric testing of Chinese version of screening tools (PASS) and GAD among perinatal population: hospital based evidence 2023

Mei He, Rong Hu, Changqing Pan, Xixi Li, Xiaoying Zhong, Xiujing Guo, Bangjun Wang, Hongjing Wu
article en
3 citations

Abstract

The result of this study show that the Chinese-PASS had a reasonably adequate validity and reliability and can be used to screen for anxiety disorder among women during the perinatal period.

BMC PsychiatryVol. 25(1)
University of Electronic Science and Technology of China (CN), Chengdu Medical College (CN), Sichuan University (CN), West China Second University Hospital of Sichuan University (CN), Mianyang Central Hospital (CN)
Openalex Percentile: Top 3%
Neonatal and fetal brain pathology
10.48
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.