RESUMO
Objective: Depression and schizophrenia (SCH) were accompanied by an acute phase response (APR) that was implicated in the alterations in total protein (TP), albumin, and globulin levels. The aims of this study are to examine serum TP, albumin, globulin levels, depressive symptoms, and their associations in patients with SCH. Methods: We recruited 34 patients with SCH and 136 healthy controls (HCs) according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV). Psychiatric symptoms and biomarkers were assessed using the Chinese version of the Positive and Negative Syndrome Scale (PANSS) as well as the bromocresol green and biuret methods. Results: Serum TP (F = 46.11, p < 0.001, η2 = 0.19), albumin (F = 31.69, p < 0.001, η2 = 0.14), and globulin (F = 12.48, p < 0.001, η2 = 0.06) levels were lower in patients than those in HCs after adjusting for covariates. Serum TP (r = -0.37, p = 0.03) and albumin (r = -0.37, p = 0.03) levels were negatively correlated with depressive score in patients. Stepwise multivariate regression analysis showed the negative associations of depressive score with serum TP (ß = -0.13, t = -2.92, p = 0.007), albumin (ß = -0.23, t = -2.36, p = 0.03), and globulin (ß = -0.16, t = -2.40, p = 0.02) levels in patients. Serum TP, albumin, and globulin levels exhibited the accuracies of 87.1, 70.0, and 69.4% in discriminating between patients and HCs (area under the curve [AUC]: 0.78, 0.68, and 0.77; sensitivity/specificity: 52.9%/95.6%, 55.9%/73.5%, and 76.5%/67.6%). Conclusion: Our data suggested that decreased serum TP, albumin, and globulin should be regarded as the SCH risk factors and were implicated in the depressive severity of SCH, which further provided the support for the hypothesis that SCH and depression were accompanied by the abnormal inflammatory cytokines with the APR.
RESUMO
This study is designed to investigate the mental health status of college students under the current coronavirus disease-2019 (COVID-19) pandemic and explore potential influential factors. We surveyed 1128 people including 435 medical students and 693 nonmedical students by a self-designed questionnaire containing general demographic characteristics, Self-Rating Anxiety Scale, Self-Rating Depression Scale, and Chinese Perceived Stress Scale. SPSS 23.0 software was used for statistical analysis. The incidence of anxiety, depression, and perceived stress were 8.4, 22.7, and 42.9% among college students during the COVID-19, respectively. Pearson correlation analysis showed that sex, specialty, and Family conflict were all positively associated with SAS, SDS, and CPSS (p<0.05). Stepwise linear retrospective analysis showed that family conflicts and specialty were the influencing factors of SAS, SDS, and CPSS. There were significantly differences between medical students and nonmedical students in the frequency of SDS abnormality score (Z=-4.125, p<0.001) and the frequency of CPSS abnormality (χ2=7.836, p=0.005). According to the results, we can come to the conclusion that college students have different degrees of psychological problems during the COVID-19. Family conflicts and specialty were the influencing factors of anxiety, depression, and perceived stress.
