Lu Gangyuan, Zhu Linfei, Huang Rongqian, Lai Pengcheng, Wang Chao
School of Psychology, Shenzhen University, Shenzhen, 518060, Guangdong, China.
Nanshan Taoyuan Primary School, Shenzhen, 518055, Guangdong, China.
BMC Psychiatry. 2025 Feb 12;25(1):117. doi: 10.1186/s12888-025-06559-z.
The co-occurrence of depression and anxiety is relatively more common among adolescents. Emerging evidence suggests that adaptability might affect this phenomenon. Network analysis can provide insight into the dynamics between symptoms of mental disorders. Therefore, we used network analysis 1) to explore symptom networks and 2) to investigate the association between adaptability and symptoms based on a longitudinal design.
833 Chinese adolescents (449 males and 384 female) were recruited, with adaptability, depressive and anxiety symptoms measured at T1, 426 of them were followed up one year later at T2. Symptom networks were constructed for all participants and for the two groups based on their adaptability scores at T1. Furthermore, mediation analysis was performed to examine the relationship between adaptability and bridge symptoms at both timepoints.
Irritable and Guilty showed the highest expected value at T1 (p < 0.05). The high adaptability group's symptom network (HGN) was less connected than the low adaptability group's symptom network (LGN) (p < 0.001). Furthermore, Irritable (T1) and adaptability (T2) were sequential mediators (p < 0.001) between adaptability (T1) and Irritable (T2).
These findings suggest that adaptability might affect the network dynamics, underscoring its importance to the occurrence of depression and anxiety among adolescents. Irritable and Guilty being the bridge symptoms may indicate the interventions to target in adolescents with comorbid depression and anxiety.
抑郁和焦虑共病在青少年中相对更为常见。新出现的证据表明,适应能力可能会影响这一现象。网络分析可以深入了解精神障碍症状之间的动态关系。因此,我们采用网络分析方法:1)探索症状网络;2)基于纵向设计研究适应能力与症状之间的关联。
招募了833名中国青少年(449名男性和384名女性),在T1时间点测量了他们的适应能力、抑郁和焦虑症状,其中426人在一年后的T2时间点进行了随访。根据所有参与者在T1时间点的适应能力得分,为所有参与者和两组分别构建症状网络。此外,进行中介分析以检验两个时间点上适应能力与桥梁症状之间的关系。
在T1时间点,易怒和内疚的期望值最高(p < 0.05)。高适应能力组的症状网络(HGN)比低适应能力组的症状网络(LGN)连接性更低(p < 0.001)。此外,易怒(T1)和适应能力(T2)是适应能力(T1)和易怒(T2)之间的顺序中介变量(p < 0.001)。
这些发现表明,适应能力可能会影响网络动态,凸显了其对青少年抑郁和焦虑发生的重要性。易怒和内疚作为桥梁症状可能表明对共病抑郁和焦虑的青少年应采取的干预措施。