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Symptomatic carriers showed diminished connectivity in all but one network, and between the left and right frontoparietal networks. Presymptomatic carriers also showed diminished connectivity, but only in the frontoparietal left network. In conclusion, global brain functioning is diminished in patients with CAA, predominantly in symptomatic CAA and can therefore be considered to be a late consequence of the disease.

The purpose of this study is to assess the independent effects of depression and excess body weight (EBW) on cognition and functioning in a community sample of young adults.

This was a cross-sectional of 943 young adults. The diagnosis of a current depressive episode was performed using the Mini International Neuropsychiatric Interview (MINI). Cognition and functioning were assessed using the Montreal Cognitive Assessment (MoCA) and the Functional Assessment Short Test (FAST), respectively. The EBW was defined as BMI ≥ 25.0 kg/m

. The independent main effects of depression and EBW, as well as the analysis interaction were performed using two-way analysis of covariance (ANCOVA).

The total sample comprised 943 adults, with 75 (8.0%) individuals diagnosed with a current depressive episode and 493 (52,6%) with EBW. Of the 75 subjects with depression, 40 were identified with EBW comorbidity. Subjects with depression and EBW comorbidity reported greater cognitive and functional impairment, as compared to individuals with depression without EBW. There was a significant interaction between depression and EBW on MoCA total (p<0.001) as well as FAST total (p=0.010), work (p=0.002), cognition (p=0.023), finances (p=0.032) and relationships domains (p=0.008).

The adverse effects of depression and EBW are independent and cumulative with respect to cognition and functioning of individuals. The understanding of the complex interactions between cognition, functioning, EBW and depression are important for development of preventive and therapeutic strategies.

The adverse effects of depression and EBW are independent and cumulative with respect to cognition and functioning of individuals. The understanding of the complex interactions between cognition, functioning, EBW and depression are important for development of preventive and therapeutic strategies.

The association between abnormal gut microbiome composition and depression is well established. However, the composition and functional capacity of the gut microbiota regarding depressed women has been poorly addressed.

Stool samples from 62 female patients with major depressive disorder (MDD) and 46 healthy controls (Con) were analyzed by 16S rRNA gene sequencing; Twenty fecal samples from the patient group and 21 fecal samples from the Con group were further analyzed by shotgun metagenomic sequencing. Psychiatric symptoms and psychological, social, and professional functioning was also assessed.

Phylum Bacteroidetes, proteobaeteria, and Fusobacteria were greatly enriched in patients with MDD, while the Firmicutes and Actinobacteria phyla were consistently higher in Con. Notably, 18 microbial markers were identified on a random forest model and achieve an area under the curve of 0.92 between patients with MDD and the Con group. Forty-five species and their associated function were identified with statistically significant differences between patients with MDD and the Con group.

The number of recruited samples, especially samples enrolled for shotgun metagenomic sequencing was relatively small, and the stool samples were collected only at baseline, making it difficult to establish a causal association between changes in gut microbiota compositions and disease remission.

This study characterizes the gut microbiota and their related function in female MDD. The gut microbiota-based biomarkers may be helpful in diagnosis and the altered gut microbial metabolites may contribute to the pathogenesis of MDD in women, representing potential microbial targets.

This study characterizes the gut microbiota and their related function in female MDD. The gut microbiota-based biomarkers may be helpful in diagnosis and the altered gut microbial metabolites may contribute to the pathogenesis of MDD in women, representing potential microbial targets.

Self-harm and eating disorders are often comorbid in clinical samples but their co-occurrence in the general population is unclear. Given that only a small proportion of individuals who self-harm or have disordered eating present to clinical services, and that both self-harm and eating disorders are associated with substantial morbidity and mortality, it is important to study these behaviours at a population level.

We assessed the co-occurrence of self-harm and disordered eating behaviours in 3384 females and 2326 males from a UK population-based cohort the Avon Longitudinal Study of Parents and Children (ALSPAC). click here Participants reported on their self-harm and disordered eating behaviours (fasting, purging, binge-eating and excessive exercise) in the last year via questionnaire at 16 and 24 years. At each age we assessed how many individuals who self-harm also reported disordered eating, and how many individuals with disordered eating also reported self-harm.

We found high comorbidity of self-harm and disordered eating. Almost two-thirds of 16-year-old females, and two-in-five 24-year old males who self-harmed also reported some form of disordered eating. Young people with disordered eating reported higher levels of self-harm at both ages compared to those without disordered eating.

We were not able to measure whether participants identified their disordered eating as a method of self-harm.

Self-harm and disordered eating commonly co-occur in young people in the general population. It is important to screen for both sets of difficulties to provide appropriate treatment.

Self-harm and disordered eating commonly co-occur in young people in the general population. It is important to screen for both sets of difficulties to provide appropriate treatment.

Psychological responses to potentially traumatic events tend to be heterogeneous, with some individuals displaying resilience. Longitudinal associations between resilience and mental distress during the COVID-19 pandemic, however, are poorly understood. The objective of this study was to examine the association between resilience and trajectories of mental distress during the COVID-19 pandemic.

Participants were 6,008 adults from the Understanding America Study, a probability-based Internet-panel representative of the US adult population. Baseline data were collected between March 10 and March 31, 2020, with nine follow-up waves conducted between April 1 and August 4. Mixed-effects logistic regression was used to examine the association between date and mental distress, stratified by resilience level (low, normal, or high).

In contrast to the high resilience group, participants in the low and normal resilience groups experienced increases in mental distress in the early months of the pandemic (low OR=2.