Personality traits and negative consequences associated with binge drinking and marijuana use in college students

Background: Binge drinking is common in college students, and many drink in quantities greater than the standard definition of bingeing. Combined use of additional substances, particularly marijuana, is also common. Objectives: Increased impulsivity and sensation seeking are risk factors for bingeing, and this study was designed to characterize their association with extreme compared to standard bingeing, as well as with combined bingeing and marijuana use. Negative consequences of alcohol use were also investigated. Methods: Self-report personality measures and a measure of the negative consequences of alcohol use were given to a sample of 221 college students (109 females) sorted into a control and 4 binge groups based upon their patterns of bingeing and marijuana use. Narrowly defined, non-overlapping measures of impulsivity and sensation seeking were analyzed to assess the association of these personality measures with substance-use patterns and negative consequences of bingeing. Results: Standard bingers did not differ from non-bingeing controls on either impulsivity or sensation seeking, whereas extreme bingers had significantly higher impulsivity and sensation seeking scores than controls and also significantly higher sensation seeking than standard bingers. Exploratory analyses of a broader set of personality scales showed that a disinhibition scale was also significant predictor of substance use group. A number of personality traits significantly predicted substance use patterns as well as specific negative consequences of bingeing. Conclusions: Impulsivity, sensation seeking and disinhibition are significant associates of substance use patterns and the negative consequences of use in college students.     

Cognitive control differences in violent juvenile inpatients

A stepwise discriminant analysis was used on a calibration sample (n = 135) of dangerous and nondangerous juvenile inpatients to determine which demographic, psychosocial, and cognitive variables best distinguished the violent inpatients. The resulting statistical model was cross-validated on the remainder of the sample (n = 123). Results show that the violent inpatients were more likely to be younger males whose family had a history of criminal behavior and extensive family discord. Moreover, the cognitive variables showed that violent inpatients showed differences in attention and memory, especially when they were processing aggressive stimuli. Results are discussed in terms of the potential ability of cognitive psychology to adopt an ecological perspective and to contribute to forensic assessment.     

A review of COVID-19 transmission dynamics and clinical outcomes on cruise ships worldwide,January to October 2020

BackgroundCruise ships provide an ideal setting for transmission of SARS-CoV-2, given the socially dense exposure environment.AimTo provide a comprehensive review of COVID-19 outbreaks on cruise ships.MethodsPubMed was searched for COVID-19 cases associated with cruise ships between January and October 2020. A list of cruise ships with COVID-19 was cross-referenced with the United States Centers for Disease Control and Prevention’s list of cruise ships associated with a COVID-19 case within 14 days of disembarkation. News articles were also searched for epidemiological information. Narratives of COVID-19 outbreaks on ships with over 100 cases are presented.ResultsSeventy-nine ships and 104 unique voyages were associated with COVID-19 cases before 1 October 2020. Nineteen ships had more than one voyage with a case of COVID-19. The median number of cases per ship was three (interquartile range (IQR): 1–17.8), with two notable outliers: the Diamond Princess and the Ruby Princess, which had 712 and 907 cases, respectively. The median attack rate for COVID-19 was 0.2% (IQR: 0.03–1.5), although this distribution was right-skewed with a mean attack rate of 3.7%; 25.9% (27/104) of voyages had at least one COVID-19-associated death. Outbreaks involving only crew occurred later than outbreaks involving guests and crew.ConclusionsIn the absence of mitigation measures, COVID-19 can spread easily on cruise ships in a susceptible population because of the confined space and high-density contact networks. This environment can create superspreader events and facilitate international spread.     

Automatic wide complex tachycardia differentiation using mathematically synthesized vectorcardiogram signals

BackgroundAutomated wide complex tachycardia (WCT) differentiation into ventricular tachycardia (VT) and supraventricular wide complex tachycardia (SWCT) may be accomplished using novel calculations that quantify the extent of mean electrical vector changes between the WCT and baseline electrocardiogram (ECG). At present, it is unknown whether quantifying mean electrical vector changes within three orthogonal vectorcardiogram (VCG) leads (X, Y, and Z leads) can improve automated VT and SWCT classification.MethodsA derivation cohort of paired WCT and baseline ECGs was used to derive five logistic regression models: (i) one novel WCT differentiation model (i.e., VCG Model), (ii) three previously developed WCT differentiation models (i.e., WCT Formula, VT Prediction Model, and WCT Formula II), and (iii) one “all‐inclusive” model (i.e., Hybrid Model). A separate validation cohort of paired WCT and baseline ECGs was used to trial and compare each model''s performance.ResultsThe VCG Model, composed of WCT QRS duration, baseline QRS duration, absolute change in QRS duration, X‐lead QRS amplitude change, Y‐lead QRS amplitude change, and Z‐lead QRS amplitude change, demonstrated effective WCT differentiation (area under the curve [AUC] 0.94) for the derivation cohort. For the validation cohort, the diagnostic performance of the VCG Model (AUC 0.94) was similar to that achieved by the WCT Formula (AUC 0.95), VT Prediction Model (AUC 0.91), WCT Formula II (AUC 0.94), and Hybrid Model (AUC 0.95).ConclusionCustom calculations derived from mathematically synthesized VCG signals may be used to formulate an effective means to differentiate WCTs automatically.     

Increased Salt Intake Decreases Diet-Induced Thermogenesis in Healthy Volunteers: A Randomized Placebo-Controlled Study

High salt intake ranks among the most important risk factors for noncommunicable diseases. Western diets, which are typically high in salt, are associated with a high prevalence of obesity. High salt is thought to be a potential risk factor for obesity independent of energy intake, although the underlying mechanisms are insufficiently understood. A high salt diet could influence energy expenditure (EE), specifically diet-induced thermogenesis (DIT), which accounts for about 10% of total EE. We aimed to investigate the influence of high salt on DIT. In a randomized, double-blind, placebo-controlled, parallel-group study, 40 healthy subjects received either 6 g/d salt (NaCl) or placebo in capsules over 2 weeks. Before and after the intervention, resting EE, DIT, body composition, food intake, 24 h urine analysis, and blood pressure were obtained. EE was measured by indirect calorimetry after a 12 h overnight fast and a standardized 440 kcal meal. Thirty-eight subjects completed the study. Salt intake from foods was 6 g/d in both groups, resulting in a total salt intake of 12 g/d in the salt group and 6 g/d in the placebo group. Urine sodium increased by 2.29 g/d (p < 0.0001) in the salt group, indicating overall compliance. The change in DIT differed significantly between groups (placebo vs. salt, p = 0.023). DIT decreased by 1.3% in the salt group (p = 0.048), but increased by 0.6% in the placebo group (NS). Substrate oxidation indicated by respiratory exchange ratio, body composition, resting blood pressure, fluid intake, hydration, and urine volume did not change significantly in either group. A moderate short-term increase in salt intake decreased DIT after a standardized meal. This effect could at least partially contribute to the observed weight gain in populations consuming a Western diet high in salt.     

Recent applications of cell-penetrating peptide guidance of nanosystems in breast and prostate cancer

Cell-penetrating peptides (CPPs) are small peptides from natural sources or designed from other protein sequences that can penetrate cell membranes. This property has been used in biomedicine to add them to biomolecules to improve their capacity for cell internalization and as a guidance tool for specific cell types. CPPs have been shown to enhance cellular uptake in vitro and in vivo, improving the efficacy of anticancer drugs such as doxorubicin and paclitaxel, while also limiting their cytotoxic effects on healthy cells and tissues. The current study reviews the internalization and major therapeutic results achieved from the functionalization of nanosystems with CPPs for guidance into breast and prostate cancer cells in vitro and in vivo. In addition, the practical results obtained are specifically discussed for use as a starting point for scientists looking to begin research in this field.