Objective: To examine the association between noise exposure in daily life and depressive symptoms, so as to provide the evidence for reducing the impact of noise in daily life on depressive symptoms. Methods: Based on the 2015 to 2020 database of National Health and Nutrition Examination Survey, demographic information and noise exposure in daily life were collected from people aged 18 years and over. Depressive symptoms were evaluated using the Patient Health Questionnaire-9. The relationship between noise exposure in daily life and depressive symptoms were analyzed using a multivariable logistic regression model. Results: A total of 3 216 individuals were enrolled, including 1 707 males (53.08%) and 1 509 females (46.92%). The mean age was (49.30±18.07) years. There were 491 individuals with noise exposure in daily life, accounting for 15.27%. There were 265 cases with depressive symptoms, accounting for 8.24%. There were 66 individuals exposed to noise in daily life in the group with depression symptoms (24.91%), and 425 individuals exposed to noise in daily life in the normal group (14.40%), with statistically significant difference in noise exposure in daily life between the two groups (P<0.05). Multivariable logistic regression analysis showed that after adjusting for gender, age, educational level, marital status, household income poverty ratio, sleep duration, alcohol consumption and hearing, individuals who had noise exposure in daily life (OR=1.743, 95%CI: 1.258-2.413) were more likely to have high risk of depressive symptoms. Conclusion Noise exposure in daily life was associated with an increased risk of depressive symptoms.

Objective:To evaluate the reliability and validity of Chinese version of Glasgow antipsychotics side-effect scale (GASS).Methods:Totally 200 patients diagnosed as schizophrenia following the criteria of DSM-IV were enrolled in the study.Cronbach’s α was used to investigate the internal consistency of GASS.Exploring factor analysis was used to examine the construct validity.Pearson correlation analysis between GASS and TESS and CGI sub-scale of side effect were conducted to evaluate the criterion validity.Based on clinical criteria, the sensitivity and specificity and ROC curve was calculated so as to establish the cut-off point of the scale and test discrimination validity.Results:For reliability, Cronbach’s α ws 0.926, indicating that GASS had a good internal consistency.Four main factors were extracted by exploratory factor analysis which were extrapyramidal side effect factor, genitourinary side effect factor, anticholinergic side effect factor, over sedation and cardiovascular side effect factor.For validity, exploring analysis demonstrated that nineteen item of the scale has relatively higher factor load on the principal factor (0.531-0.972), suggesting that the scale had a good construct validity.The total score of the GASS was positively correlated with that of TESS and CGI subscale of side effects( r=0.90, P<0.05; r=0.87, P<0.05). The cut-off point of experimental validity of GASS for mild antipsychotics side effects was determined as ≥1.With this cut-off point, GASS had both high sensitivity (96.3%) and high specificity (70.7%), area under curve (AUC) were 0.78.The cut-off point of GASS for moderate antipsychotics side effects was determined as ≥20, with the sensitivity and specificity of GASS were 86.3% and 84.7%, AUC were 0.92.When the cut-off point of GASS for severe antipsychotics side effects was determined as ≥41, GASS had both high sensitivity (92.1 %) and high specificity (96.3 %), AUC were 0.96. Conclusion:GASS has good reliability and validity and can reflect the side effects of antipsychotics, and it can be adopted as a useful instrument to evaluate the severity of side effects of antipsychotics.