Xiao Yao, Jiang Xinting, Li Yuan, Mao Yu, Zhou Duyi
College of Teacher Education, Southwest University, Chongqing, China.
School of Educational Sciences, Chongqing Normal University, Chongqing, China.
Front Psychol. 2024 Nov 25;15:1464273. doi: 10.3389/fpsyg.2024.1464273. eCollection 2024.
Depression is increasingly prevalent among adolescents, with parents' socioeconomic status (SES) serving as significant predictors. Understanding the link between parents' SES and college students' depressive symptoms is of paramount concern. However, the neural basis linking the association between parents' SES and students' depressive symptoms still remains to be explored. In order to address this issue, this study aims to investigate the relationship between parents' SES and students' depressive symptoms, and the role of brain functional connectivity (FC) pattern in this relationship.
In this study, a total of 363 college students without a history of mental or neurological disorders underwent depressive symptoms assessment and resting-state functional magnetic resonance imaging scans. We used a connectome-based predictive modeling (CPM) approach to identify neural biomarkers of depressive symptoms.
The results indicate that there is a negative correlation between parents' SES and students' depression tendencies (Father's education level and SDS: r = -0.119, < 0.05; Mother's education level and SDS: r = -0.117, < 0.05), suggesting that students whose parents have a higher educational level are less likely to suffer from depression. Furthermore, a FC pattern that can significantly predict depressive symptoms outside of the body was identified (r = 0.13, < 0.005), with most of the FCs belonging to the default mode network (DMN) and ventral attention network (VAN). Additionally, the FC pattern associated with depressive symptoms mediate the relationship between parents' SES and depressive symptoms.
Therefore, we believe that improving the education levels of parents may have a practical effect in reducing depressive symptoms among adolescents.
抑郁症在青少年中日益普遍，父母的社会经济地位（SES）是重要的预测因素。了解父母的社会经济地位与大学生抑郁症状之间的联系至关重要。然而，将父母的社会经济地位与学生抑郁症状联系起来的神经基础仍有待探索。为了解决这个问题，本研究旨在调查父母的社会经济地位与学生抑郁症状之间的关系，以及脑功能连接（FC）模式在这种关系中的作用。
在本研究中，共有363名无精神或神经疾病史的大学生接受了抑郁症状评估和静息态功能磁共振成像扫描。我们使用基于连接组的预测模型（CPM）方法来识别抑郁症状的神经生物标志物。
结果表明，父母的社会经济地位与学生的抑郁倾向之间存在负相关（父亲的教育水平与抑郁自评量表：r = -0.119，<0.05；母亲的教育水平与抑郁自评量表：r = -0.117，<0.05），这表明父母教育水平较高的学生患抑郁症的可能性较小。此外，还确定了一种能够显著预测身体外抑郁症状的FC模式（r = 0.13，<0.005），其中大部分FC属于默认模式网络（DMN）和腹侧注意网络（VAN）。此外，与抑郁症状相关的FC模式介导了父母的社会经济地位与抑郁症状之间的关系。
因此，我们认为提高父母的教育水平可能对减少青少年的抑郁症状具有实际效果。
