Objective:To verify the reliability and validity of the Chinese Version of Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN-C) in patients with major depressive disorder(MDD).Methods:A total of 122 patients with MDD and 122 controls were recruited and measured with the BRIAN-C, 16-Item Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR16), 7-Item Generalized Anxiety Disorder Scale(GAD-7) and 6-Item Short Form Health Survey(SF-6). The index D and correlation analysis were conducted to evaluate the discrimination and homogeneity of the items, respectively. The Cronbach′s α coefficient, Spearman-Brown coefficient, intraclass correlation coefficient ( ICC) and retest correlation coefficient were conducted to evaluate the reliability.Confirmatory factor analysis, correlation analysis and the receiver operating characteristic (ROC) curve were conducted to evaluate the construct validity, criterion validity and prediction validity, respectively. Results:The item distinction and homogeneity analysis showed significant differences ( P<0.05). The Cronbach′s α coefficient and the Spearman-Brown coefficient were 0.911 and 0.807, while the ICC and the correlation coefficient r of test-retest reliability were 0.639 (95% confidence interval( CI):0.375-0.729) and 0.43 ( P=0.001), respectively. Confirmatory factor analysis showed that the fit indexes χ 2/dF=1.937, goodness-of-fit index(GFI)=0.822, comparative fit index (CFI)=0.877, Tucker-lewis index (TLI)=0.855, and root mean square error of approximation (RMSEA)=0.088. The score of BRIAN-C was significantly correlated with that of QIDS-SR16, GAD-7 or SF-6 ( r=0.74, 0.46, -0.69, all P<0.05).The ROC curve suggested that the area under curve (AUC) was 0.939 (95% CI: 0.909-0.970, P<0.05) for distinguishing MDD patients from controls. The optimal cut-off was 29, with 0.861 sensitivity and 0.926 specificity. Conclusions:The BRIAN-C scale has good reliability and validity, which is supposed to be used in Chinese cultural background to evaluate the biorhythms in patients with MDD.

Objective:To verify the reliability and validity of the Chinese Version of Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN-C) in patients with major depressive disorder(MDD).Methods:A total of 122 patients with MDD and 122 controls were recruited and measured with the BRIAN-C, 16-Item Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR16), 7-Item Generalized Anxiety Disorder Scale(GAD-7) and 6-Item Short Form Health Survey(SF-6). The index D and correlation analysis were conducted to evaluate the discrimination and homogeneity of the items, respectively. The Cronbach′s α coefficient, Spearman-Brown coefficient, intraclass correlation coefficient ( ICC) and retest correlation coefficient were conducted to evaluate the reliability.Confirmatory factor analysis, correlation analysis and the receiver operating characteristic (ROC) curve were conducted to evaluate the construct validity, criterion validity and prediction validity, respectively. Results:The item distinction and homogeneity analysis showed significant differences ( P<0.05). The Cronbach′s α coefficient and the Spearman-Brown coefficient were 0.911 and 0.807, while the ICC and the correlation coefficient r of test-retest reliability were 0.639 (95% confidence interval( CI):0.375-0.729) and 0.43 ( P=0.001), respectively. Confirmatory factor analysis showed that the fit indexes χ 2/dF=1.937, goodness-of-fit index(GFI)=0.822, comparative fit index (CFI)=0.877, Tucker-lewis index (TLI)=0.855, and root mean square error of approximation (RMSEA)=0.088. The score of BRIAN-C was significantly correlated with that of QIDS-SR16, GAD-7 or SF-6 ( r=0.74, 0.46, -0.69, all P<0.05).The ROC curve suggested that the area under curve (AUC) was 0.939 (95% CI: 0.909-0.970, P<0.05) for distinguishing MDD patients from controls. The optimal cut-off was 29, with 0.861 sensitivity and 0.926 specificity. Conclusions:The BRIAN-C scale has good reliability and validity, which is supposed to be used in Chinese cultural background to evaluate the biorhythms in patients with MDD.

Background The current oil production determines oil workers’ occupational noise exposure. Without effective protection, noise will affect various aspects of worker’s body functions, including acting on the adrenal cortex system and resulting in renal function damage. Objective To evaluate the associations of noise exposure and its cumulative exposure level with renal function impairment of oil workers. Methods Oil workers from a collective medical examination in a hospital were selected as the study subjects. In accordance with the national standard Measurement of Physical Agents in the Workplace Part 8: Noise (GBZ/T 189.8—2007), noise exposure was measured three times at the oil workers' work site, and their average value was calculated to obtain the cumulative noise exposure (CNE). A questionnaire survey was conducted to collect general information such as socio-demographic characteristics, family history, lifestyles, and occupational history. All blood biochemical indicators were measured in the fasting state. Renal function impairment was judged based on the glomerular filtration rate. The relationship between CNE and renal function was analyzed using receiver operating characteristic curve (ROC) for workers with noise exposure. Results A total of 2 917 subjects were included in the study and their prevalence of renal function impairment was 14.2%. The univariate analysis results suggested statistically significant differences in the prevalence of renal function impairment among the oil workers grouped by having hypertension or not, gender, age, marital status, marital status, smoking, and alcohol consumption (P＜0.05); the prevalence of renal impairment was significantly higher in those with abnormal values of uric acid, total cholesterol, triglycerides, high-density lipoprotein, and fasting glucose than in those with normal values (P＜0.05); the oil workers with noise exposure [n=1565, 53.7%, equivalent sound level ≥80 dB(A)] showed a higher prevalence of renal function impairment than those without (P＜0.05). The results of multiple logistic regression analysis showed that being female (OR=2.811, 95%CI: 1.960-4.030), age at 31 years and above (OR_31-40=3.502, 95%CI: 1.402-8.751; OR_41-50=4.255, 95%CI: 1.759-10.291; OR_≥51=7.179, 95%CI: 2.864-17.996), showing abnormal uric acid (OR=5.932, 95%CI: 4.486-7.843), having hypertension (OR=1.593, 95%CI: 1.230-2.063), alcohol consumption (OR=2.648, 95%CI: 1.346-5.212), and smoking (OR=1.816, 95%CI: 1.133-2.911) had higher risks of developing renal function impairment; besides, those exposed to noise had 1.351 times (95%CI: 1.073-1.702) higher risks of developing renal function impairment than non-exposed individuals. Noise-exposed oil workers in the renal impairment group had higher noise exposure intensity and CNE compared to the noise-exposed oil workers in the normal renal function group (P＜0.05), and the workers had an increased risk of renal function impairment when the CNE was >95.85 dB(A)·year versus CNE ≤ 95.85 dB(A)·year (OR=2.583, 95%CI: 1.956-3.411). Conclusion Exposure to noise, higher noise exposure intensity, and higher level of CNE may be associated with developing renal function impairment in oil workers. Oil workers with CNE above 95.85 dB(A)·year are at an increased risk of renal impairment.

Objective To study the smoking status and revalent cause factors among medical college students in Nanchang and provide information for smoking control .Methods A questionnaire survey was conducted among 935 medical students by stratified cluster random sampling method .912 questionnaires were valid .The valid rate was 97 .540% .Results The total smoking rate was 14 .364% (131/192) .The smoking rate of male was higher than female(χ2 =49 .982 ,P<0 .05) .There was a great difference among different grades(χ2 =22 .503 ,P<0 .05) .There were many factors associated with smoking conducts ,in which older ,higher family income ,higher monthly cost of living ,allowing to smoking in the home were risk factors ,but mother′s educational level ,correct knowledge about the hazards of tobacco were protective factors .Conclusion The smoking rate of medical students is not high .The smoking status are influenced by many factors .Intervention should pay more attention to focus group and better prevent medical students from smoking .