Lammford9827

To examine the association of major depressive disorder (MDD) and selective serotonin reuptake inhibitor (SSRI) use with gut microbiome in older adolescents and younger adults.

Fifteen to 20-year-old participants within a month of starting an SSRI and unmedicated controls were enrolled in a longitudinal study. They underwent a diagnostic evaluation comprising self-completed and rater-administered questionnaires and clinical interview. They also provided a stool sample, which was stored at -80°C until DNA extraction. Microbial DNA was extracted with the MoBio PowerSoil kit, and the V4 region of the 16S rRNA was amplified and sequenced. Raw sequence data was processed with the LotuS pipeline. Only samples with no antibiotic exposure in the last 6 months and with >1000 quality filtered reads were included in the analysis.

160 participants (57.5% female, mean age 20.0±1.9 years, 29% taking SSRIs) were enrolled, comprising 110 MDD patients (60% in acute episode), 27 healthy controls, and 23 psychiatric controls. No significant group differences were observed in bacterial richness or alpha and beta diversity. Differential abundance analysis of bacterial taxa found no significant group differences at the phylum and genus levels. Neither being in a major depressive episode vs. remission nor using SSRIs was associated with differential bacterial composition.

In this sizeable sample of older adolescents, neither MDD nor SSRI use was associated with differences in gut bacterial microbiome. In this age group, the bi-directional interaction between the gut bacteria and brain may be more nuanced than in adults, requiring further investigation.

In this sizeable sample of older adolescents, neither MDD nor SSRI use was associated with differences in gut bacterial microbiome. In this age group, the bi-directional interaction between the gut bacteria and brain may be more nuanced than in adults, requiring further investigation.

High levels of perceived parental over-protection are hypothesized to be related to relational problems, psychological distress, and development of psychiatric symptoms. Here, the main aim was to extend previous findings investigating the unique contribution of parental over-protection in predicting affective vulnerability.

296 students were recruited and tested individually. All participants were administered self-report measures assessing parental styles [i.e., The Measure of Parental Style (MOPS)], several clinical dimensions (i.e., depressive symptoms, trait anxiety and alexithymia), and a checklist assessing socio-demographic variables.

Affective vulnerability was investigated combining anxiety, depression and alexithymia through principal axis factoring which accounted for 70.90% of the variance of the data. All MOPS subscale were positively associated with all clinical dimensions (r > 0.13; p < 0.05) and with the Affective Vulnerability factor (r > 0.25; p < 0.001). Among different focontributes to our understanding of the role of parental over-protection as a risk factor for the development of affective vulnerability and on the potentially pathogenic role played by this parental style in the development of clinical and sub-clinical conditions.

The literature identifies a strong relationship between mental health and income, but there is little research that clarifies the directional association between household income and self-perceived mental health (SPMH) overtime either at between-perso+n or within-person levels. This study investigates whether higher income predicts better SPMH overtime and poor SPMH predicts lower income overtime both at between-person or within-person levels.

Data analyzed was from the Montreal Southwest Social and Psychiatric Epidemiology Catchment Area study (ZEPSOM), a longitudinal community-based cohort. The baseline survey was conducted in 2007/8 with follow-up every two years. We traced a total of 3464 participants over a period of 8 years. To examine the associations between income and SPMH at both between-person or within-person levels, cross-lagged panel models (CLPMs) and random intercept cross-lagged panel models (RI-CLPMs) were used. Gender and age effects were examined using multiple group analyses. Complete case analyses evaluated the findings' robustness.

At between-person levels, higher household income predicted higher SPMH, but not vice versa. These associations were stronger among men and older adults. At within-person levels, higher income did not predict higher SPMH. No significant gender- or age- group differences were observed. Complete case analyses supported the findings.

Loss to follow-up may affect the generalizability of the research findings.

This study suggests that higher household income predicts higher SPMH at between-person levels. Galunisertib Policy and programs aiming at promoting mental health should focus on low-income individuals, especially men and older adults.

This study suggests that higher household income predicts higher SPMH at between-person levels. Policy and programs aiming at promoting mental health should focus on low-income individuals, especially men and older adults.

Mindfulness-Based Interventions (MBIs) have been increasingly proposed as treatment in patients with Attention-Deficit/Hyperactivity Disorder (ADHD), showing promising results on different proposed outcomes, in both children and adults.

To systematically review and meta-analyse studies concerning the effects of MBIs on either ADHD and associated features, associated clinical conditions, neurocognitive impairments, mindfulness skills, global functioning and quality of life.

Searches were conducted on five databases, including controlled and observational studies on both adults and children populations. The review process was compliant to the Preferred Reporting Items for SystematicReviewsand Meta-Analysis (PRISMA). Meta-analyses and meta-regression models were conducted.

Thirty-one full-texts were included. In both adults and children, MBIs showed to be more effective than waiting lists in improving ADHD symptoms and some other outcomes. In adults, a medium pooled effect size was shown by meta-analysis for ADHD symptoms but in some cases a publication bias was detected.