Using network analysis to identify central symptoms of depression and anxiety in different profiles of infertility patients

We defined three distinct depression and anxiety profiles among infertility patients and pinpointed central symptoms within each profile. These findings underscore the importance of directing research towards those central symptoms within each profile in order to develop targeted intervention strategies.

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Publication Details

Journal
BMC Psychiatry
Published
2025-03-11
DOI
https://doi.org/10.1186/s12888-025-06637-2
Citations
2
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
4.24

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article

Using network analysis to identify central symptoms of depression and anxiety in different profiles of infertility patients

Tieying Pan, Xueqin Song, Yingbo Chen, X. L. Fan et al.
2 citations
BMC Psychiatry
Mental Health Research Topics
4.24
article

Using network analysis to identify central symptoms of depression and anxiety in different profiles of infertility patients

Tieying Pan, Xueqin Song, Yingbo Chen, X. L. Fan, Wei Qiao, Xiuxia Yuan, Wenju Han, Dongqing Zhang, Ran Lu, Y. C. Zhai, Fang Liu
article en
2 citations

Abstract

We defined three distinct depression and anxiety profiles among infertility patients and pinpointed central symptoms within each profile. These findings underscore the importance of directing research towards those central symptoms within each profile in order to develop targeted intervention strategies.

BMC PsychiatryVol. 25(1)
Dalian Maternal and Child Health Hospital (CN), First Affiliated Hospital of Zhengzhou University (CN)
National Natural Science Foundation of China, Henan Provincial Science and Technology Research Project
Gender equality
Openalex Percentile: Top 8%
Mental Health Research Topics
4.24
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Using network analysis to identify central symptoms of depression and anxiety in different profiles of infertility patients — Tieying Pan, Xueqin Song, et al. · BMC Psychiatry (2025) | TGRS Research Map | TGRS