Early age of onset of mood, anxiety and alcohol use disorders is associated with sociodemographic characteristics and health outcomes in adults: results from a cross-sectional national survey

Exposotypes in Psychotic Disorders

Psychiatry lags in adopting etiological approaches to diagnosis, prognosis, and outcome prediction compared to the rest of medicine. Etiological factors such as childhood trauma (CHT), substance use (SU), and socioeconomic status (SES) significantly affect psychotic disorder symptoms. This study applied an agnostic clustering approach to identify exposome clusters "Exposotypes (ETs)" and examine their relationship with clinical, cognitive, and functional outcomes. Using data from individuals with psychotic disorders (n=1,350), and controls (n=623), we assessed the relationship between the exposotypes and outcomes. Four exposotypes were identified: ET1 characterized by high CHT and SU; ET2, high CHT; ET3, high SU; ET4, low exposure. Compared to ET4, ET1 demonstrated higher positive and general symptoms, anxiety, depression, impulsivity, and mania; ET2 had higher anxiety, depression, and impulsivity; ET3 had better cognitive and functional outcomes with lower negative symptoms. Intracranial volume was largest in ET3, and smallest in ET2. No group differences in schizophrenia polygenic risk scores were found. The age of onset was 5 years earlier in ET1 than in ET4. These findings provide insight into the complex etiological interplay between trauma, and SU, as well as their unique effects on clinical symptoms, cognition, neurobiology, genetic risk, and functioning.

Psychological Flexibility Profiles and Mental Health Among University Students with Left-Behind Experience: A Latent Profile Analysis

The left-behind experience as an adverse childhood experience has a negative impact on the mental health of university students. Psychological inflexibility mediated the relationship between adverse childhood experiences and mental disorders, but no similar findings were drawn in psychological flexibility (PF). More research is needed to understand the relationship between PF and mental health of university students with left-behind experience. To investigate the relationship between PF profiles and mental health and sleep quality of university students with left-behind experience based on latent profile analysis. A sample of 1988 Chinese university students with left-behind experience were recruited to complete an online survey. Participants provided demographic information and completed validated measures of PF and mental health. Latent profile analysis was used to identify patterns of PF, and logistic regression analysis was used to examine the relationships among these variables. We found four PF profiles among participants, with the largest number being the moderately flexible profile (n = 808, 40.6%). The level of PF was positively correlated with mental health and sleep quality (all P < 0.001). Females, being left behind at a young age and for a long time, and having little contact with parents were associated with low PF (all P < 0.05). Our study highlights the importance of focusing on the PF of university students with left-behind experience and left-behind children, and the need for interventions to improve their PF and thus their mental health.

Study of Positive and Negative Affect and Neurocognitive Functioning in Adolescents

The main purpose of the present work was to study neurocognitive performance of adolescents at risk for emotional difficulties. The sample included a total of 1,509 adolescents from stratified random cluster sampling. Derived from this sample, a group of high-risk (n = 92) and a comparison group (n = 92) were selected based on the short version of the Positive and Negative Affect Schedule (PANAS) for comparison on the University of Pennsylvania computerized neuropsychological test battery for children (PENN). A Multivariate analysis of covariance (MANCOVA) was performed taking the scores on the PENN as dependent variables and the two groups derived from the scores of the PANAS (at risk vs. comparison) as a fixed factor. Adolescents at high risk of presenting affectivity problems showed statistically significant differences in several different neurocognitive domains, in accuracy, λ = .820, F(9, 160,000) = 3.913, p < .01, partial η² = .180; speed, λ = .502, F(5, 88,000)= 17.493, p < .01, partial η² = .498; and efficiency, λ = .485, F(4, 89,000) = 23.599, p <.01, partial η² = .515. The high risk group showed lower neurocognitive performance than the comparison group. In addition, a positive statistically significant correlation was found between all the neurocognitive competences (p < .05). Results found in this study reveal that neurocognitive impairments can be shown in adolescents at psychometric high risk for emotional problems before transition to more severe psychological problems.