Objective:To study the relationship between somatization symptoms and body mass index (BMI), sleep and cognitive function in patients with depression.Methods:A total of 119 patients with depression were selected from January to December in 2019.According to the score of patient health questionnaire-15(PHQ15), they were divided into mild somatization group ( n=75) and moderate severe somatization group ( n=44). Hamilton depression scale-24(HAMD-24), patient health questionnaire-15, Pittsburgh sleep quality index(PSQI) and Montreal cognitive assessment(MoCA) were used to evaluate all subjects.SPSS 23.0 software was used for data analysis.Independent sample t-test was used to compare BMI, sleep and cognitive function scores between the two groups.Pearson correlation analysis was used to study the correlation between somatization symptoms and sleep quality and cognitive function. Results:There were significant differences in BMI((21.70±3.09)kg/m 2, (23.31±3.51)kg/m 2), PSQI((12.56±4.37), (14.37±3.72)), sleep quality(1.87±0.86), (2.21±0.80)), sleep disorder ((1.24±0.59), (1.65±0.53))and daytime dysfunction((2.45±0.81), (2.77±0.48)) between the two groups ( t=-3.783--2.133, all P<0.05), but no difference was found in cognition ( P>0.05). Correlation analysis showed that after controlling HAMD, PHQ-15 was positively correlated with PSQI, sleep quality, sleep disorder, daytime dysfunction and language score in MoCA ( r=0.205-0.298, all P<0.05). Conclusion:The severity of somatization in patients with depression is related to BMI, sleep quality, sleep disorder, daytime dysfunction and language function, suggesting that they may play an important role in the pathogenesis of depression with somatization.

Cognitive impairment is one of the important clinical manifestations in depression. The particularly vulnerable cognition domains included executive function, attention, memory, and processing speed. Depression with cognitive impairment is not only a predictor of poor efficacy, but also closely related to dementia. Previous studies have suggested that multiple physiological mechanisms may be altered between depression and cognitive impairment. With the rapid development of neuroimaging technology, resting state functional magnetic resonance imaging has been widely used to explore the neurobiological mechanisms of depression and cognitive impairment. After reviewing the resting-state functional MRI manifestations of the comorbidity, it was found that the default mode network, cognitive control network, and salience network were activated or weakened in the brain. In addition, the inter-network functional connectivity was altered with the co-existence of impairment and compensation. The aforementioned changes of brain function are expected to be the therapeutic targets for depression with cognitive dysfunction.