The pathogenesis of schizophrenia is still unknown. Nearly a half of schizophrenic patients have depressive symptoms and even some impulsive behaviors. The definite diagnosis of schizophrenia is an ...immense challenge. Molecular biology plays an essential role in the research on the pathogenesis of schizophrenia.
This study aims to analyze the correlations of serum protein factor levels with depressive emotion and impulsive behaviors in drug-naïve patients with first-episode schizophrenia.
Seventy drug-naïve patients with first-episode schizophrenia and sixty-nine healthy volunteers from the health check center in the same period participated in this study. In both the patient group and control group, brain-derived neurotrophic factor (BDNF), phosphatidylin-ositol-3-kinase (PI3K), protein kinase B (AKT), and cAMP-response element binding protein (CREB) levels in the peripheral blood were tested by enzyme-linked immunosorbent assay (ELISA). The depressive emotion and impulsive behaviors were evaluated with Chinese versions of the Calgary Depression Scale for Schizophrenia (CDSS) and Short UPPS-P Impulsive Behavior Scale (S-UPPS-P), respectively.
The serum levels of BDNF, PI3K, and CREB in the patient group were lower than those in the control group, while AKT level, total CDSS score and total S-UPPS-P score were all higher. In the patient group, total CDSS score, and total S-UPPS-P score were both correlated negatively with BDNF, PI3K, and CREB levels but positively with AKT level, and the lack-of-premeditation (PR) sub-scale score was not significantly correlated with BDNF, PI3K, AKT, and CREB levels.
Our study results showed that the peripheral blood levels of BDNF, PI3K, AKT, and CREB in drug-naïve patients with first-episode schizophrenia were significantly different from those in the control group. The levels of these serum protein factors are promising biomarkers to predict schizophrenic depression and impulsive behaviors.
Neurological soft signs (NSS) are described as subtle, non-localizable neurological abnormalities that cannot be related to impairment of a specific brain region or are not believed to be typical for ...any specific neurological disease. Crucial issue concerning research on NSS are the instruments with which they are assessed, since the results and the conclusions of the studies are mediated by the characteristics of such instruments. There is common, silent and unverified assumption that NSS rating scales may be used as interchangeable measure of the same phenomenon.
To investigate the differences in item content and the interchangeability of commonly used NSS scales.
A content analysis was carried out to determine symptom overlap among the chosen seven most often used scales using the Jaccard index (0 = no overlap, 1 = full overlap) according to the methodology of Fried 2017.
71 NSSs were distinguished from 167 items used in 7 above mentioned instruments. Mean overlap among all scales is low (0.27), overlap among specific scales ranges from 0.1 to 0.5.
The diversity of NSS in analyzed tools causes the low overlap between scales, leading to uncertainty as to whether they measure the same phenomena. This limits the reproducibility of studies and impedes the possibility of unifying the knowledge stemming from existing data. We argue that the non-localizable nature of NSS is yet to be examined.
Abstract Development of Autism Spectrum Disorders (ASD), including autism, is based on a combination of genetic predisposition and environmental factors. Recent data propose the etiopathogenetic role ...of intestinal microflora in autism. The aim of this study was to elucidate changes in fecal microbiota in children with autism and determine its role in the development of often present gastrointestinal (GI) disorders and possibly other manifestations of autism in Slovakia. The fecal microflora of 10 children with autism, 9 siblings and 10 healthy children was investigated by real-time PCR. The fecal microbiota of autistic children showed a significant decrease of the Bacteroidetes/Firmicutes ratio and elevation of the amount of Lactobacillus spp. Our results also showed a trend in the incidence of elevated Desulfovibrio spp. in children with autism reaffirmed by a very strong association of the amount of Desulfovibrio spp. with the severity of autism in the Autism Diagnostic Interview (ADI) restricted/repetitive behavior subscale score. The participants in our study demonstrated strong positive correlation of autism severity with the severity of GI dysfunction. Probiotic diet supplementation normalized the Bacteroidetes/Firmicutes ratio, Desulfovibrio spp. and the amount of Bifidobacterium spp. in feces of autistic children. We did not find any correlation between plasma levels of oxytocin, testosterone, DHEA-S and fecal microbiota, which would suggest their combined influence on autism development. This pilot study suggests the role of gut microbiota in autism as a part of the “gut-brain” axis and it is a basis for further investigation of the combined effect of microbial, genetic, and hormonal changes for development and clinical manifestation of autism.
Teachers must be able to monitor students’ behavior and identify valid cues in order to draw conclusions about students’ actual engagement in learning activities. Teacher training can support ...(inexperienced) teachers in developing these skills by using videotaped teaching to highlight which indicators should be considered. However, this supposes that (a) valid indicators of students’ engagement in learning are known and (b) work with videos is designed as effectively as possible to reduce the effort involved in manual coding procedures and in examining videos. One avenue for addressing these issues is to utilize the technological advances made in recent years in fields such as machine learning to improve the analysis of classroom videos. Assessing students’ attention-related processes through visible indicators of (dis)engagement in learning might become more effective if automated analyses can be employed. Thus, in the present study, we validated a new manual rating approach and provided a proof of concept for a machine vision-based approach evaluated on pilot classroom recordings of three lessons with university students. The manual rating system was significantly correlated with self-reported cognitive engagement, involvement, and situational interest and predicted performance on a subsequent knowledge test. The machine vision-based approach, which was based on gaze, head pose, and facial expressions, provided good estimations of the manual ratings. Adding a synchrony feature to the automated analysis improved correlations with the manual ratings as well as the prediction of posttest variables. The discussion focuses on challenges and important next steps in bringing the automated analysis of engagement to the classroom.
Parents have faced substantial social and economic challenges during the COVID-19 pandemic. Preliminary cross-sectional research has demonstrated increases in mental health problems in mothers during ...the COVID-19 pandemic compared with pre-pandemic estimates. We aimed to study an existing longitudinal cohort of mothers to assess changes in the prevalence of maternal depression and anxiety symptoms as a result of the COVID-19 pandemic over time and at the individual level.
In this longitudinal observational study, women who took part in the All Our Families pregnancy cohort in Canada were invited to complete a COVID-19 impact survey between May 20 and July 15, 2020. Women who had not agreed to additional research, had discontinued, were lost to follow-up, or who were not contactable via email were excluded. Maternal depression and anxiety symptoms during the COVID-19 pandemic were compared with three previous estimates collected at 3, 5, and 8-year timepoints (between April, 2012, and October, 2019). Depression symptoms were assessed using the 10-item Center for Epidemiological Studies Depression scale and anxiety symptoms were assessed using the short form of the Spielberger State-Trait Anxiety Inventory. Repeated cross-sectional analyses were done to assess temporal trends and fixed-effects regression models were fitted to assess within-person change over time.
Of the 3387 women included in the All Our Families study, 2445 women were eligible and were invited to participate in the COVID-19 impact study, of whom 1333 consented to participate, and 1301 were included in the longitudinal analysis. At the COVID-19 impact survey timepoint, a higher proportion of mothers had clinically significant depression (35·21%, 95% CI 32·48-38·04) and anxiety symptoms (31·39%, 28·76-34·15) than at all previous data collection timepoints. The mean depression score (8·31, 95% CI 7·97-8·65) and anxiety score (11·90, 11·66-12·13) at the COVID-19 pandemic timepoint were higher than previous data collection waves at the 3-year timepoint (mean depression score 5·05, 4·85-5·25; mean anxiety score 9·51, 9·35-9·66), 5-year timepoint (mean depression score 5·43, 5·20-5·66; mean anxiety score 9·49, 9·33-9·65), and 8-year timepoint (mean depression score 5·79, 5·55-6·02; mean anxiety score 10·26, 10·10-10·42). For the within-person comparisons, depression scores were a mean of 2·30 points (95% CI 1·95-2·65) higher and anxiety scores were a mean of 1·04 points (0·65-1·43) higher at the COVID-19 pandemic timepoint, after controlling for time trends. Larger increases in depression and anxiety symptoms were observed for women who had income disruptions, difficulty balancing home schooling with work responsibilities, and those with difficulty obtaining childcare. White mothers had greater increases in anxiety scores than non-white mothers and health-care workers had smaller increases in depressive symptoms than non-health-care workers.
Compared with previous estimates, the prevalence of maternal depression and anxiety among mothers in a Canadian cohort increased during the COVID-19 pandemic. Financial support, childcare provision, and avoiding the closure of schools, might be key priorities for preventing future increases in maternal psychological distress.
Alberta Innovates Health Solutions Interdisciplinary Team, Canadian Institutes of Health Research, Alberta Innovates, and Alberta Children's Hospital Foundation.
•We introduce the AEQ-S as short form of the Achievement Emotions Questionnaire (AEQ).•The AEQ-S comprises 4 items per scale but maintains the AEQ's conceptual scope.•Two independent datasets ...(N = 389/471) show the psychometric quality of the AEQ-S.•Structural relationships of the full AEQ scales can be reproduced with the AEQ-S.•The AEQ-S is a valuable instrument when administration time or space are limited.
The Achievement Emotions Questionnaire (AEQ) is a well-established instrument for measuring achievement emotions in educational research and beyond. Its popularity rests on the coverage of the component structure of various achievement emotions across different academic settings. However, this broad conceptual scope requires the administration of 6 to 12 items per scale (Mdn = 10), which limits the applicability of the AEQ in empirical studies that necessitate brief administration times. We therefore developed the AEQ-S, a short version of the AEQ, with only 4 items per scale that nevertheless maintain the conceptual scope of the instrument. We validated the AEQ-S based on a reanalysis of Pekrun, Goetz, Frenzel, Barchfeld, and Perry's (2011) dataset (N = 389 university students) and by administering them to a new and independent validation sample (N = 471 university students). Despite their brevity, the AEQ-S scales achieved satisfactory reliability and correlated substantially with the original AEQ scales. Moreover, structural relationships and intercorrelations between the scales and their relations with external measures of antecedents and outcomes of achievement emotions were highly similar for the AEQ-S and AEQ scales. These findings suggest that the AEQ-S is a suitable substitute for the AEQ when administration time is limited.
This study examined the psychometric properties of the Vanderbilt AD/HD Diagnostic Teacher Rating Scale (VADTRS).
Information was collected from teachers and parents in 5 school districts (urban, ...suburban, and rural). All teachers in participating schools were asked to complete the VADTRS on all their students. Construct validity was evaluated through an exploratory factor analysis investigation of the 35 items that made up the 4 scales of inattention, hyperactivity, conduct/oppositional problems, and anxiety/depression problems. Convergent validity was assessed among a subsample of participants whose teachers completed the Strengths and Difficulties Questionnaire (SDQ). Finally, predictive validity was examined for another subsample of high- and low-risk children whose parents completed a structured psychiatric interview, the Diagnostic Interview Schedule for Children-IV.
For construct validity, a 4-factor model (inattention, hyperactivity, conduct/oppositional, and anxiety/depression problems) fits the data well. The estimates of the KR20 coefficient for a binary item version of the scale ranged from .85 to .94. Convergent validity with the SDQ was high (Pearson's correlations > .72) for these 4 factors. For predictive validity, the VADTRS produced a sensitivity of .69, specificity of .84, positive predictive value of .32, and negative predictive value of .96 when predicting future case definitions among children whose parents completed a diagnostic interview.
The confirmation of the construct and convergent validity and acceptable scale reliabilities found in this study further supports the utility of the VADTRS as a diagnostic rating scale for attention-deficit hyperactivity disorder. The low predictive validity further demonstrates the need for multiple observers in establishing the diagnosis.
The theorized role that intolerance of uncertainty (IU) plays in the acquisition, maintenance, and treatment of multiple emotional disorders underscores the importance of valid assessment tools. ...Research using the Intolerance of Uncertainty Scale-Short form (IUS-12) has conceptualized IU along 2 dimensions, namely, prospective IU and inhibitory IU. However, recent research has cast doubt on the separability of these dimensions. The aim of the current study was to evaluate the fit of competing measurement models of the IUS-12 in separate undergraduate (N = 506) and clinical (N = 524) samples. Unidimensional, correlated 2-factor, and bifactor models were tested using confirmatory factor analysis. The results of both studies supported a bifactor model consisting of a strong general IU factor. The general IU factor explained the majority of unique variance in the IUS-12, and suggested that a total score is generally appropriate for assessing IU. The general IU factor was most strongly and consistently associated with symptoms of multiple disorders. The inhibitory IU group factor was more weakly associated with most symptom measures in the clinical sample, but only with social phobia symptoms in the undergraduate sample. The prospective IU group factor was only separable from the general IU factor in the undergraduate sample, and did not explain unique variance in disorder symptoms.
Public Significance Statement
The present study supports a bifactor model of the Intolerance of Uncertainty Scale-Short Form, and suggests that the total score is generally appropriate for assessing intolerance of uncertainty (IU) in undergraduate and clinical samples. Additionally, it highlights the relative contributions of general, prospective (cognitive), and inhibitory (behavioral) aspects of IU to symptoms of emotional disorders.
Tryptophan, an essential amino acid, is the precursor to serotonin and is metabolized mainly by the kynurenine pathway. Both serotonin and kynurenine have been implicated in the pathophysiology of ...major depressive disorder (MDD). However, plasma tryptophan concentration in patients with MDD has not unequivocally been reported to be decreased, which prompted us to perform a meta-analysis on previous studies and our own data.
We searched the PubMed database for case-control studies published until August 31, 2013, using the search terms plasma AND tryptophan AND synonyms for MDD. An additional search was performed for the term amino acid instead of tryptophan. We obtained our own data in 66 patients with MDD (DSM-IV) and 82 controls who were recruited from March 2011 to July 2012. The majority of the patients were medicated (N = 53). Total plasma tryptophan concentrations were measured by the liquid chromatography/mass spectrometry method.
We scrutinized 160 studies for eligibility. Original articles that were written in English and documented plasma tryptophan values in patients and controls were selected.
We included 24 studies from the literature and our own data in the meta-analysis, which involved a total of 744 patients and 793 controls. Data on unmedicated patients (N = 156) and their comparison subjects (N = 203) were also extracted. To see the possible correlation between tryptophan concentrations and depression severity, meta-regression analysis was performed for 10 studies with the Hamilton Depression Rating Scale 17-item version score.
In our case-control study, mean (SD) plasma tryptophan level was significantly decreased in the MDD patients versus the controls (53.9 10.9 vs 57.2 11.3 μmol/L; P = .03). The meta-analysis after adjusting for publication bias showed a significant decrease in patients with MDD with a modest effect size (Hedges g, -0.45). However, analysis on unmedicated subjects yielded a large effect (Hedges g, -0.84; P = .00015). We found a weak association with depression severity in the meta-regression analysis (P = .049).
This meta-analysis provides convincing evidence for reduced plasma tryptophan levels in patients with MDD, particularly in unmedicated patients.
We evaluated the clinical utility of the Swedish SCARED-R in child- and adolescent psychiatric outpatients (n = 239) and validated it against Longitudinal Expert All Data (LEAD) DSM IV diagnoses ...based on the Children’s Schedule for Affective Disorders and Schizophrenia (KSADS) and subsequent clinical work-up and treatment outcome. The SCARED-R total score and subscales had acceptable sensitivity/specificity for child and parent reports for cut-offs based on Receiver Operating Characteristics (ROC) curves, with mostly moderate area under the curve. Sensitivity ranged from 75% (parent rated social anxiety) to 79% child rated Generalized Anxiety Disorder (GAD). Specificity, ranged from 60% for child-rated GAD to 88% for parent rated social anxiety. Parent-child agreement was moderate, and each informant provided unique information contributing to most diagnoses. In conclusion, the SCARED-R is useful for screening anxiety symptoms in clinical populations. However, it cannot replace interview based diagnoses, nor is it adequate to use just one informant.
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