Zou Mingxuan, Liu Bin, Ji Jing, Ren Lei, He Yuqing, Wei Huaihuai, Yin Mengxin, Hu Hui, Liu Xufeng, Wu Shengjun, Wang Hui, Wang Xiuchao
Public Health School, Shaanxi University of Chinese Medicine, Xianyang, 712046, China.
Department of Military Medical Psychology, Air Force Medical University, Xi'an, 710032, China.
Arch Womens Ment Health. 2025 Feb 18. doi: 10.1007/s00737-025-01569-y.
The prevalence of depression is higher in women than in men. This may be because women are more prone to rumination. However, there is a lack of evidence about which rumination symptoms are most strongly associated with depression in women. According to the network theory of mental disorders, the complex interaction between different subtypes of rumination and depressive symptoms is confusing. We utilized the network analysis method to examine the connection between different subtypes of rumination and depressive symptoms across different gender groups and to investigate gender differences in rumination-depression networks.
798 Chinese university students (50.5% males and 49.5% females) completed The Rumination Response Scale (RRS) and The Beck Depression Inventory-Second Edition (BDI-II) scales via an online survey platform for this study. The networks were analyzed and built with scale dimensions as nodes.
The line graph indicates that the B (Brooding) and N (Negative attitude) nodes had the highest BEI values in the female group, whereas the R (Reflection) and N nodes had the highest BEI values in the male group.
The findings revealed that males and females in the rumination-depression network had distinct rumination bridge nodes (male: Reflection; female: Brooding) but had a common depression bridge node (Negative attitude). The connection between different types of rumination and depressive symptoms was more pronounced in the female network. The findings enhance comprehension of gender disparities in the co-occurrence of rumination and depression, offering specific subtypes for targeted intervention in rumination.
抑郁症在女性中的患病率高于男性。这可能是因为女性更容易陷入沉思。然而,关于哪些沉思症状与女性抑郁症关联最为密切,目前缺乏相关证据。根据精神障碍的网络理论,不同类型沉思之间以及沉思与抑郁症状之间的复杂相互作用令人困惑。我们利用网络分析方法来检验不同性别群体中不同类型沉思与抑郁症状之间的联系,并研究沉思 - 抑郁网络中的性别差异。
798名中国大学生(男性占50.5%,女性占49.5%)通过在线调查平台完成了本研究的沉思反应量表(RRS)和贝克抑郁量表第二版(BDI-II)。以量表维度为节点对网络进行分析和构建。
线图表明,在女性组中,B(沉思)和N(消极态度)节点的BEI值最高,而在男性组中,R(反思)和N节点的BEI值最高。
研究结果显示,在沉思 - 抑郁网络中,男性和女性有不同的沉思桥梁节点(男性:反思;女性:沉思),但有一个共同的抑郁桥梁节点(消极态度)。不同类型沉思与抑郁症状之间的联系在女性网络中更为明显。这些发现增进了对沉思与抑郁共病中性别差异的理解,为针对沉思的干预提供了具体的亚型。