Notes

Voiced Term Division throughout Third and fourth Terminology: When ERP along with Behavioral Actions Diverge.
In secondary MR, data on left ventricular (LV) remodeling after MitraClip procedure are rare, even this information may impact patient selection. This study investigated changes in LV structure and function by cardiovascular magnetic resonance (CMR) following MitraClip implantation for secondary mitral regurgitation (MR) in order to assess extent and predictors of LV reverse remodeling (LVRR).

Twenty-nine patients underwent CMR imaging prior to and six months after MitraClip procedure. LVRR was defined by a decrease of LV end-diastolic volume index (LVEDVi)>15% compared to baseline. According to the definition of LVRR, 34% of patients displayed LVRR at follow-up CMR. Baseline LV stroke volume index (LVSVi), LV ejection fraction (LVEF), LV circumferential strain and MR volume at baseline were predictors of LVRR at follow-up. At second CMR, we detected an improvement in hemodynamic status as illustrated by an increase in effective LVSVi (28±8ml/m
vs. 33±8ml/m
; p=0.053) and cardiac index (2.0±0.5 vs. 2.3±0.5l/min; p=0.016), while LVEF and LV strain parameters did not change (p>0.05). Improvements in effective LVSVi were associated with the decrease of MR volume (r=0.509; p=0.018) and MR fraction (r=0.629; p=0.002) by MitraClip.

Together, MitraClip implantation is associated with LVRR in one third of patients. Baseline LV function and magnitude of MR are important predictors of LVRR. Improvement of hemodynamic status may be assessed by effective stroke volume index and correlates with the reduction of MR by MitraClip implantation, rather than an increase in LV contractility.
Together, MitraClip implantation is associated with LVRR in one third of patients. Baseline LV function and magnitude of MR are important predictors of LVRR. buy AB680 Improvement of hemodynamic status may be assessed by effective stroke volume index and correlates with the reduction of MR by MitraClip implantation, rather than an increase in LV contractility.
Studies that used evidence-based family therapies have demonstrated significant effects in reducing adolescent drug use and delinquent behaviours, and in reducing comorbid mental health problems. However, almost all these studies were conducted in high-income countries. The overall aim of the present study was to explore the effect of United Nations Office on Drugs and Crime's (UNODC) Treatnet Family (TF) in reducing substance consumption, drug-related activities, reducing mental health problems, and in improving family interaction among adolescents with substance-use problems.

Nineteen adolescents who had been referred to a community counselling clinic because of substance-use problems and their parents/family members participated in TF. They completed a set of questionnaires to measure substance use, family functioning, mental health problems, and life events at pre-, post-intervention as well as at a one month-follow-up assessment.

TF had a positive significant impact in reducing alcohol use among adolescents with substance-use problems. The number of adolescents who smoked cigarettes and marijuana, and used amphetamines reduced across time. After participating in TF, the adolescents were involved with significantly fewer friends who consumed substances and participated in antisocial behaviours. Furthermore, parent/family member reported a significant decrease in mental health problems, and positive changes in adolescent's behaviours.

The TF had a positive impact in reducing alcohol consumption and problems related to substance consumption among adolescents with substance-use problems when delivered by practitioners in routine community settings.
The TF had a positive impact in reducing alcohol consumption and problems related to substance consumption among adolescents with substance-use problems when delivered by practitioners in routine community settings.
By adhering to government preventative messages to stay-at-home and social distancing during the COVID-19 pandemic, training practitioners in person in implementing a family-based intervention (i.e., Treatnet Family) is not possible. The present study examined the feasibility and acceptability of using digital technology to remotely deliver Treatnet Family training to practitioners in community counselling services in Indonesia.

Fifteen practitioners, from the association of addiction counsellors in Indonesia, participated in the Treatnet Family workshop remotely. The training was delivered by four national Treatnet Family trainers remotely via a digital platform for five days with additional take-home assignments.

All practitioners reported that Treatnet Family training have enhanced their skills in working with adolescents and their family. Most practitioners reported having confidence in conducting Treatnet Family and in applying core skills of family-based intervention. Participating in the workshop enabled practitioners to learn the core skills of the Treatnet Family at their own pace. However, some practitioners also stated few disadvantages in remote training, including having limited time for the discussion and feeling overwhelmed with the assignments. Some find it hard to attend such training from their home due to distractions.

Digital technology is acceptable and feasible method for training community practitioners to deliver Treatnet Family to adolescents with SUDs and their families in Indonesia. These findings can inform the way to use digital technology to deliver core family-based skills to community practitioners in other low-resource settings.
Digital technology is acceptable and feasible method for training community practitioners to deliver Treatnet Family to adolescents with SUDs and their families in Indonesia. These findings can inform the way to use digital technology to deliver core family-based skills to community practitioners in other low-resource settings.Researchers have found similarities and differences between behavioral and drug addictions. The present study was designed to explore which of a series of psychosocial predictors of addictive behaviors could differentiate problematic Internet use (PIU) and Cannabis Use Disorder (CUD) in a sample of University students. A total of 144 participants (76 males, mean age = 23.03 years ± 2.83) were separated into three groups those presenting with PIU (18 females, Mean age = 22.27 years), those presenting with CUD (22 female, Mean age = 22.73 years), and a control group (28 female, Mean age = 24.04 years). Participants completed the Internet Abusive Use Questionnaire (IAUQ), the Severity of Dependence Scale (SDS), the Multidimensional Scale of Perceived Social Support (MSPSS), the Barratt Impulsiveness Scale-11 (BIS-11), the Multidimensional Distress Tolerance Scale (MDTS), the Emotion Regulation Questionnaire (ERQ), the Metacognitions Questionnaire-30 (MCQ-30), and the Repetitive Thinking Questionnaire-10 (RTQ-10).
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