Status and Perceived Barriers of Psychological Help-Seeking Behaviors for Perinatal Depressive Symptoms Among Chinese Women: A Cross-Sectional Study

Participants had low levels of professional psychological help-seeking behaviors. Further studies should explore this mechanism and develop interventions targeting perceived barriers.

Authors

Institutions

Publication Details

Journal
Journal of Psychosocial Nursing and Mental Health Services
Published
2025-04-21
DOI
https://doi.org/10.3928/02793695-20250416-01
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

Status and Perceived Barriers of Psychological Help-Seeking Behaviors for Perinatal Depressive Symptoms Among Chinese Women: A Cross-Sectional Study

Meili Xiao, Sasa Huang, Guanxiu Tang, Jun Lei et al.
Journal of Psychosocial Nursing and Mental Health Services
Maternal Mental Health During Pregnancy and Postpartum
article

Status and Perceived Barriers of Psychological Help-Seeking Behaviors for Perinatal Depressive Symptoms Among Chinese Women: A Cross-Sectional Study

Meili Xiao, Sasa Huang, Guanxiu Tang, Jun Lei, Ying Hu
article en

Abstract

Participants had low levels of professional psychological help-seeking behaviors. Further studies should explore this mechanism and develop interventions targeting perceived barriers.

Journal of Psychosocial Nursing and Mental Health ServicesVol. 63(11)
Hunan Normal University (CN)
Openalex Percentile: Top 88%
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.