Abstract: Objective To explore the association of sleep disorders with sleep beliefs and attitudes in patients with depression and influencing factors. Methods All patients diagnosed with depression and admitted to a hospital in Mianyang City were recruited from July 2018 to May 2019. Basic information of the participants was collected by trained doctors. The Pittsburgh Sleep Quality Index scale （PSQI） and Dysfunctional Belief and Attitude about sleep scale （DBAS-16） were completed by the participants under the guidance of the doctors. Descriptive epidemiological analysis methods were used to analyze the data. Univariate and multivariate logistic regressions were used to determine factors influencing the occurrence of sleep disorders. Results A total of 130 patients with depression were investigated. Of the participants, 40. 8% were men and 59. 2% were women; the ages were mainly 30-39 years old, accounting for 59. 2%; the education level was mainly college or above, accounting for 64. 4%; 57. 7% were married; 42. 3% had depression for more than 3 years; 35. 4% had family history. Seventy patients with depression suffered from sleep disorders, with an incidence of 53. 8%. The total score of DBAS-16 and the scores of all parts of DBAS-16 （estimation of consequences of insomnia, worry about sleep, prediction of sleep, understanding of medication） in patients with sleep disorder were significantly lower than those in patients without sleep disorder （all P<0. 01）. Multivariate logistic regression model showed that the patients with older age （OR=1. 049）, lower education level （OR=1. 064）, and longer duration of depression （OR=1. 350） were more likely to have higher risk of sleep disorders. Conclusion The incidence of sleep disorders is high in depression patients and significantly associated with their sleep beliefs and attitudes. Patients with older age, lower education level, and longer duration of depression are more prone to sleep disorders.

Key words: Depression, Sleep disorders, Sleep beliefs and attitudes, Influencing factor