OBJECTIVES: This study examined the relationship between exposure to teacher violence and mental health problems.

PARTICIPANTS AND SETTING: An international sample of young adults aged 18 to 24 (N = 283).

METHODS: Participants completed self-report measures of childhood trauma, exposure to teacher violence, depressive symptoms, post-traumatic stress, and alcohol misuse.

RESULTS: Exposure to teacher violence could be reliably and validly measured using the Teacher Violence Scale (TVS). Current mental health problems - including depressive symptoms, post-traumatic stress, and alcohol misuse - were associated with exposure to teacher violence during high school years, but not with childhood non-betrayal trauma.

METHODS: Higher education students from China, Ireland, Malaysia, South Korea, Taiwan, the Netherlands, and the United States were enrolled in a cross-sectional study from April to May 2020, which was during the beginning of the COVID-19 pandemic for most participants. An online survey, using validated tools, was distributed to assess perceived stress, dietary behaviors, alcohol misuse, sleep quality and duration, and resilience.

RESULTS: 2254 students completed the study. Results indicated that sleep quality mediated the relationship between perceived stress and dietary behaviors as well as the relationship between perceived stress and alcohol misuse. Further, increased resilience reduced the strength of the relationship between perceived stress and dietary behaviors but not alcohol misuse.

METHODS: In this study, systematic review and meta-analysis have been conducted on the previous studies focused on the prevalence of the Dupuytren disease. The search keywords were Prevalence, Prevalent, Epidemiology, Dupuytren Contracture, Dupuytren and Incidence. Subsequently, SID, MagIran, ScienceDirect, Embase, Scopus, PubMed and Web of Science databases and Google Scholar search engine were searched without a lower time limit and until June 2020. In order to analyse reliable studies, the stochastic effects model was used and the I2 index was applied to test the heterogeneity of the selected studies. Data analysis was performed within the Comprehensive Meta-Analysis Software version 2.0.

RESULTS: By evaluating 85 studies (10 in Asia, 56 in Europe, 2 in Africa and 17 studies in America) with a total sample size of 6628506 individuals, the prevalence of Dupuytren disease in the world is found as 8.2% (95% CI 5.7-11.7%). The highest prevalence rate is reported in Africa with 17.2% (95% CI 13-22.3%). According to the subgroup analysis, in terms of underlying diseases, the highest prevalence was obtained in patients with type 1 diabetes with 34.1% (95% CI 25-44.6%). The results of meta-regression revealed a decreasing trend in the prevalence of Dupuytren disease by increasing the sample size and the research year (P < 0.05).

METHODS: Seventeen patients with alcohol dependence admitted for de-addiction treatment and 12 healthy controls were enrolled in the study. Blood samples were collected at baseline, after one-week, and after one-month, and CD200 levels were measured using enzyme-linked immunosorbent assay kit and compared with the healthy controls.

RESULTS: The serum level of the neuroimmune regulatory protein CD200 in alcohol dependent group (at baseline) was significantly lower compared to healthy controls (p=0.003), and increased after one-week, and one-month period.

Methods and Results: The study population was the postmortem cases of Asian population ranging from 16 to 75 years old in which blood and/or urine samples sent for alcohol and/or drug of abuse (DoA) analysis in year 2016 at our centre. Out of 434 cases, 54 from each group of positive and negative alcohol and/or DoA. Postmortem findings of lungs and postmortem CT scan urinary bladder volume (UBV) were recorded. Statistical significant correlation was obtained between urinary bladder distension on postmortem CT scan and cases with positive alcohol detection. However, the sensitivity was relatively low at 51.7%, whereas the specificity was 75% at the cut-off point. Low sensitivity and specificity at around 52.7% were obtained for pulmonary edema related to alcohol/DoA. This showed that UBV alone or pulmonary edema alone was not really a good indicator for alcohol or DoA intoxication. However, combination of both indicators provided higher sensitivity (73.3%) although specificity was lowered to 53.8%.

DESIGN: A randomized, double-blind, placebo-controlled trial was conducted among incarcerated individuals with HIV and AUDs transitioning to the community from 2010 through 2016.

METHODS: Eligible participants (N = 100) were randomized 2:1 to receive 6 monthly injections of XR-NTX (n = 67) or placebo (n = 33) starting at release and continued for 6 months. The primary and secondary outcomes were the proportion that maintained or improved VS at <200 and <50 copies per milliliter from baseline to 6 months, respectively, using an intention-to-treat analysis.

RESULTS: Participants allocated to XR-NTX improved VS from baseline to 6 months for <200 copies per milliliter (48.0%-64.2%, P = 0.024) and for <50 copies per milliliter (31.0%-56.7%, P = 0.001), whereas the placebo group did not (<200 copies/mL: 64%-42.4%, P = 0.070; <50 copies/mL: 42.0%-30.3%, P = 0.292). XR-NTX participants were more likely to achieve VS than the placebo group at 6 months (<200 copies/mL: 64.2% vs. 42.4%; P = 0.041; <50 copies/mL: 56.7% vs. 30.3%; P = 0.015). XR-NTX independently predicted VS [<200 copies/mL: adjusted odds ratio (aOR) = 2.68, 95% confidence interval (CI) = 1.01 to 7.09, P = 0.047; <50 copies/mL: aOR = 4.54; 95% CI = 1.43 to 14.43, P = 0.009] as did receipt of ≥3 injections (<200 copies/mL: aOR = 3.26; 95% CI = 1.26 to 8.47, P = 0.010; <50 copies/mL: aOR = 6.34; 95% CI = 2.08 to 19.29, P = 0.001). Reductions in alcohol consumption (aOR = 1.43, 95% CI = 1.03 to 1.98, P = 0.033) and white race (aOR = 5.37, 95% CI = 1.08 to 27.72, P = 0.040) also predicted VS at <50 copies per milliliter.

METHOD: In this work, resting-state EEG-derived features were utilized as input data to the proposed feature selection and classification method. The aim was to perform automatic classification of AUD patients and healthy controls. The validation of the proposed method involved real-EEG data acquired from 30 AUD patients and 30 age-matched healthy controls. The resting-state EEG-derived features such as synchronization likelihood (SL) were computed involving 19 scalp locations resulted into 513 features. Furthermore, the features were rank-ordered to select the most discriminant features involving a rank-based feature selection method according to a criterion, i.e., receiver operating characteristics (ROC). Consequently, a reduced set of most discriminant features was identified and utilized further during classification of AUD patients and healthy controls. In this study, three different classification models such as Support Vector Machine (SVM), Naïve Bayesian (NB), and Logistic Regression (LR) were used.

RESULTS: The study resulted into SVM classification accuracy=98%, sensitivity=99.9%, specificity=95%, and f-measure=0.97; LR classification accuracy=91.7%, sensitivity=86.66%, specificity=96.6%, and f-measure=0.90; NB classification accuracy=93.6%, sensitivity=100%, specificity=87.9%, and f-measure=0.95.