Analysis of the Mediation Effects of Adverse Mental Health Outcomes in HIV-Infected Women of Childbearing Age from Multiple Perspectives Including Discrimination Perception.

Objective: To Analysis of the mediation effects of adverse mental health outcomes in HIV-infected women of childbearing age from multiple perspectives including discrimination perception, social capital, and other factors. Methods: A cross-sectional survey was conducted among 553 people in Xinjiang region of China using Survey scale. AMOS was used to identify factors that influenced the "discrimination perception/mental resilience/social capital-depression-poor mental health outcomes" pathway. Results: A total of 44.85% and 42.13% of the study participants had anxiety and depression symptoms, as perceived discrimination increased, the higher the level of depression in HIV-infected women of childbearing age. Correlation coefficient among depression with poor mental health outcomes was also significant. Psychological resilience, social capital and depression have mediating effects on perceived discrimination and poor mental health outcomes, discrimination perception had an indirect effect on depression through social capital and an indirect effect on adverse mental health outcomes through depression and psychological resilience. The modified model has a good fitting effect. Conclusion: Discrimination perception was shown to affect adverse mental health outcomes by impacting mental resilience, depression, and social capital. The findings suggest the need for measures to reduce adverse mental health outcomes by decreasing discrimination perception, increasing social capital, and enhancing psychological resilience.

Prevalence and relative factors of health anxiety of elders in community healthcare centers.

OBJECTIVE: The study's aims were (i) to identify the prevalence of health anxiety (HA) among the elderly in urban community healthcare centers and (ii) to determine whether HA is related to social, physical, or psychological factors. DESIGN: It is a population-based observational study. SETTING: Data were collected from urban community healthcare centers in Chengdu, China, from October 2016 to March 2017. PARTICIPANTS: A total of 893 participants aged ≥ 60 years. MEASUREMENTS: The Short HA Inventory was used for HA assessment. Mental health status was assessed using the Geriatric Depression Inventory and Mini-Mental State Examination. Other information was collected through face-to-face interviews. Data analysis was performed using SPSS 19.0. RESULTS: The point prevalence rate of HA was 9.53% (95%CI = 6.99%-12.07%). The number of chronic diseases was a positive factor associated with HA in a regression analysis. As compared with participants without chronic diseases, people with one (OR = 1.796; 95%CI = 0.546-5.909), two (OR = 2.922; 95%CI = 0.897-9.511), and three chronic diseases (OR = 6.448; 95%CI = 2.147-19.363) had higher odds of suffering from HA. CONCLUSIONS: The prevalence of HA was high in the elderly population. Certain physical conditions, such as having chronic diseases, were significant impact factors. More attention should be paid to the situation of HA in this population.

Metabolomic Identification of Exosome-Derived Biomarkers for Schizophrenia: A Large Multicenter Study.

Exosomes have been suggested as promising targets for the diagnosis and treatment of neurological diseases, including schizophrenia (SCZ), but the potential role of exosome-derived metabolites in these diseases was rarely studied. Using ultra-performance liquid chromatography-tandem mass spectrometry, we performed the first metabolomic study of serum-derived exosomes from patients with SCZ. Our sample comprised 385 patients and 332 healthy controls recruited from 3 clinical centers and 4 independent cohorts. We identified 25 perturbed metabolites in patients that can be used to classify samples from patients and control participants with 95.7% accuracy (95% CI: 92.6%-98.9%) in the training samples (78 patients and 66 controls). These metabolites also showed good to excellent performance in differentiating between patients and controls in the 3 test sets of participants, with accuracies 91.0% (95% CI: 85.7%-96.3%; 107 patients and 62 controls), 82.7% (95% CI: 77.6%-87.9%; 104 patients and 142 controls), and 99.0% (95% CI: 97.7%-100%; 96 patients and 62 controls), respectively. Bioinformatic analysis suggested that these metabolites were enriched in pathways implicated in SCZ, such as glycerophospholipid metabolism. Taken together, our findings support a role for exosomal metabolite dysregulation in the pathophysiology of SCZ and indicate a strong potential for exosome-derived metabolites to inform the diagnosis of SCZ.