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Relations among coping style, and depression and anxiety symptoms in medical graduate students: a transdiagnostic network analysis
Current Psychology ( IF 2.387 ) Pub Date : 2024-03-26 , DOI: 10.1007/s12144-024-05912-x
Zhihua Guo , Yajuan Zhang , Peiyun Pi , Xia Zhu , Yi Cui , Danmin Miao , Hongliang Lu

Medical graduate students are known to be susceptible to depression and anxiety, and coping style has been implicated in these pathogenic processes. However, the fine-grained pathways through which positive and negative coping styles (i.e., PCS and NCS) impact depression and anxiety remain unclear. This study aimed to use network analysis to investigate the associations among PCS/NCS, the individual symptoms of depression and anxiety, and their comorbidity among medical graduate students. Three regularized partial correlation networks were estimated based on cross-sectional data from 1582 medical graduate students, including PCS/NCS-depression, PCS/NCS-anxiety, and PCS/NCS-comorbidity networks. Bridge expected influence (BEI) values were calculated for each node within the three networks. The results showed the prevalence rates of mild or more severe depression and anxiety symptoms were 24.21% and 19.91%, respectively, in our sample. PCS and NCS functioned differently in relation to individual symptoms of depression and anxiety. Consistently, PCS had the highest negative BEI, while NCS had the highest positive BEI in the PCS/NCS-depression, PCS/NCS-anxiety, and PCS/NCS-comorbidity networks. PCS had more associations with depression and anxiety symptoms than did NCS. These findings shed light on the distinct pathways through which PCS and NCS may influence depression and anxiety. PCS and NCS were identified as important bridge nodes and transdiagnostic factors within separate depression and anxiety disorders and the comorbidity form, serving as protective and detrimental factors, respectively. Furthermore, PCS was more important than NCS in connecting the symptoms of depression and anxiety. Theoretical and clinical implications are discussed.



中文翻译:

医学研究生应对方式与抑郁和焦虑症状之间的关系:跨诊断网络分析

众所周知,医学研究生容易患抑郁症和焦虑症,而应对方式与这些致病过程有关。然而,积极和消极应对方式(即 PCS 和 NCS)影响抑郁和焦虑的细粒度途径仍不清楚。本研究旨在利用网络分析来调查医学研究生中PCS/NCS、抑郁和焦虑的个体症状及其合并症之间的关联。根据 1582 名医学研究生的横截面数据估计了三个正则化偏相关网络,包括 PCS/NCS-抑郁、PCS/NCS-焦虑和 PCS/NCS-共病网络。计算三个网络中每个节点的桥梁预期影响 (BEI) 值。结果显示,在我们的样本中,轻度或更重度抑郁和焦虑症状的患病率分别为 24.21% 和 19.91%。 PCS 和 NCS 在抑郁和焦虑的个体症状方面发挥着不同的作用。一致地,在 PCS/NCS 抑郁、PCS/NCS 焦虑和 PCS/NCS 共病网络中,PCS 具有最高的负 BEI,而 NCS 具有最高的正 BEI。与 NCS 相比,PCS 与抑郁和焦虑症状的关联更大。这些发现揭示了 PCS 和 NCS 可能影响抑郁和焦虑的不同途径。 PCS 和 NCS 被认为是单独的抑郁症和焦虑症以及合并症形式中的重要桥梁节点和跨诊断因素,分别充当保护因素和有害因素。此外,在连接抑郁和焦虑症状方面,PCS 比 NCS 更重要。讨论了理论和临床意义。

更新日期:2024-03-26
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