Correlation Analysis Between Insomnia Severity and Depressive Symptoms of College Students Based on Pseudo-Siamese Network

To explore the correlation between emotional mood and sleep quality in a college student population, we propose a new method based on pseudo-siamese network, which can quickly diagnose the causes of depression. This paper investigated the association between distinct sleep levels and depressive mood, with the aim of enhancing sleep quality and treatment approaches. The meta-test was conducted to examine the influencing factors and the results showed that the OR of the association between insomnia severity and depression in university students was 2.128, with a 95% confidence interval of 1.603–2.824 and a Z of 5.23, P < 0.05. Students with low sleep levels had a 2.128 times higher risk of experiencing depression compared to those with high sleep quality. Furthermore, a significant correlation was observed between low sleep levels and heightened depressive mood among students. The association model, employing a pseudo-siamese network, was developed by controlling for variables including weight, diet, age, and gender. The independent variable of sleep quality was entered into the model to determine the level of depressed mood among university students. The findings hold significance in analyzing the relationship between insomnia severity and depressed mood among university students, as well as in improving the overall sleep quality among this population.