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孕妇抑郁和焦虑症状的网络分析及其与认知融合的关联

Network analysis of depression and anxiety symptoms and their associations with cognitive fusion among pregnant women.

作者信息

Liu Haiyan, Huang Fanyan, Gao Yaqing, Wang Muyao, Lin Qianzhi, Kong Youjing, Zhou Rufang, Zhang Chichen, Chen Yu

机构信息

School of Nursing, Southern Medical University, Guangzhou, China.

School of Health Management, Southern Medical University, Guangzhou, China.

出版信息

BMC Psychiatry. 2025 May 26;25(1):537. doi: 10.1186/s12888-025-06978-y.

Abstract

BACKGROUND

Pregnant women often exhibit comorbidities of depression and anxiety, adversely affecting maternal and foetal health. Cognitive fusion is a cognitive process in which individuals excessively identify with ideas, and it is closely related to depression and anxiety; however, their symptom-level associations are still unclear. Network analysis provides a robust method to reveal important associations between symptoms. This study employed network analysis to explore the characteristics of depression and anxiety symptoms in pregnant women and their relationship with cognitive fusion.

METHODS

This cross-sectional study was conducted from June 2021 to August 2023 at two Asian hospital obstetric outpatient clinics in Guangzhou and Zhongshan, Guangdong Province, China, and included a total of 1691 pregnant women. Depression, anxiety symptoms and cognitive fusion were measured with the Edinburgh Postpartum Depression Scale (EPDS), the seven-item Generalized Anxiety Disorder Scale (GAD-7), and the Cognitive Fusion Questionnaire-Fusion (CFQ-F), respectively. Central and bridge symptoms were identified via centrality indices and bridge centrality indices. Network stability and accuracy were estimated.

RESULTS

The prevalence of depression (EPDS score ≥ 9) was 43.00% (95% confidence interval [CI]: 40.60-45.40%), the prevalence of anxiety (GAD-7 score ≥ 7) was 31.70% (95% CI: 29.50-33.90%), and the prevalence of comorbid depression and anxiety (EPDS score ≥ 9 and GAD-7 score ≥ 7) was 25.00% (95% CI: 22.90-27.10%). "Sad or miserable", "trouble relaxing" and "scared or panicked" were the central symptoms in the whole depression‒anxiety network. "Feeling afraid", "scared or panicked" and "trouble relaxing" were the key bridge symptoms linking depression and anxiety. Three symptoms ("excessive worry", "nervousness" and "sleep difficulties") were the strongest edges connected to cognitive fusion.

CONCLUSIONS

This study identified the central and bridging symptoms of depression and anxiety in pregnant women using network analysis, as well as their relationships with cognitive fusion. The results highlight the clinical relevance of these symptoms in perinatal mental health management. Close monitoring of these symptoms may be crucial for reducing depression and anxiety in pregnant women. Further research is needed to verify whether these symptoms are actionable treatment priorities.

CLINICAL TRIAL NUMBER

Not applicable.

摘要

背景

孕妇常伴有抑郁和焦虑合并症,对母婴健康产生不利影响。认知融合是一种个体过度认同观念的认知过程,与抑郁和焦虑密切相关;然而,它们在症状水平上的关联仍不明确。网络分析提供了一种强大的方法来揭示症状之间的重要关联。本研究采用网络分析来探讨孕妇抑郁和焦虑症状的特征及其与认知融合的关系。

方法

本横断面研究于2021年6月至2023年8月在中国广东省广州和中山的两家亚洲医院产科门诊进行,共纳入1691名孕妇。分别采用爱丁堡产后抑郁量表(EPDS)、七项广泛性焦虑障碍量表(GAD-7)和认知融合问卷-融合版(CFQ-F)测量抑郁、焦虑症状和认知融合。通过中心性指标和桥接中心性指标确定中心症状和桥接症状。估计网络稳定性和准确性。

结果

抑郁(EPDS评分≥9)的患病率为43.00%(95%置信区间[CI]:40.60-45.40%),焦虑(GAD-7评分≥7)的患病率为31.70%(95%CI:29.50-33.90%),抑郁和焦虑合并症(EPDS评分≥9且GAD-7评分≥7)的患病率为25.00%(95%CI:22.90-27.10%)。“悲伤或痛苦”、“难以放松”和“害怕或恐慌”是整个抑郁-焦虑网络中的中心症状。“感到害怕”、“害怕或恐慌”和“难以放松”是连接抑郁和焦虑的关键桥接症状。三种症状(“过度担忧”、“紧张”和“睡眠困难”)是与认知融合联系最紧密的边。

结论

本研究采用网络分析确定了孕妇抑郁和焦虑的中心症状和桥接症状,以及它们与认知融合的关系。结果突出了这些症状在围产期心理健康管理中的临床相关性。密切监测这些症状可能对减轻孕妇的抑郁和焦虑至关重要。需要进一步研究来验证这些症状是否是可采取行动的治疗重点。

临床试验编号

不适用。

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