Adverse childhood experiences and substance misuse in young people in India: results from the multisite cVEDA cohort

Background: Adverse childhood experiences (ACEs) increases vulnerability to externalising disorders such as substance misuse. The study aims to determine the prevalence of ACEs and its association with substance misuse. Methods: Data from the Consortium on Vulnerability to Externalising Disorders and Addictions (cVEDA) in India was used (n = 9010). ACEs were evaluated using the World Health Organisation (WHO) Adverse Childhood Experiences International Questionnaire whilst substance misuse was assessed using the WHO Alcohol, Smoking and Substance Involvement Screening Test. A random-effects, two-stage individual patient data meta-analysis explained the associations between ACEs and substance misuse with adjustments for confounders such as sex and family structure. Results: 1 in 2 participants reported child maltreatment ACEs and family level ACEs. Except for sexual abuse, males report more of every individual childhood adversity and are more likely to report misusing substances compared with females (87.3% vs. 12.7%). In adolescents, family level ACEs (adj OR 4.2, 95% CI 1.5–11.7) and collective level ACEs (adj OR 6.6, 95% CI 1.4–31.1) show associations with substance misuse whilst in young adults, child level ACEs such as maltreatment show similar strong associations (adj OR 2.0, 95% CI 1.1–3.5). Conclusion: ACEs such as abuse and domestic violence are strongly associated with substance misuse, most commonly tobacco, in adolescent and young adult males in India. The results suggest enhancing current ACE resilience programmes and ‘trauma-informed’ approaches to tackling longer-term impact of ACEs in India. Funding: Newton Bhabha Grant jointly funded by the Medical Research Council, UK (MR/N000390/1) and the Indian Council of Medical Research (ICMR/MRC-UK/3/M/2015-NCD-I)

Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions

YesAlthough many modelling and prediction frameworks for corporate bankruptcy and distress have been proposed, the relative performance evaluation of prediction models is criticised due to the assessment exercise using a single measure of one criterion at a time, which leads to reporting conflicting results. Mousavi et al. (Int Rev Financ Anal 42:64–75, 2015) proposed an orientation-free super-efficiency DEA-based framework to overcome this methodological issue. However, within a super-efficiency DEA framework, the reference benchmark changes from one prediction model evaluation to another, which in some contexts might be viewed as “unfair” benchmarking. In this paper, we overcome this issue by proposing a slacks-based context-dependent DEA (SBM-CDEA) framework to evaluate competing distress prediction models. In addition, we propose a hybrid crossbenchmarking- cross-efficiency framework as an alternative methodology for ranking DMUs that are heterogeneous. Furthermore, using data on UK firms listed on London Stock Exchange, we perform a comprehensive comparative analysis of the most popular corporate distress prediction models; namely, statistical models, under both mono criterion and multiple criteria frameworks considering several performance measures. Also, we propose new statistical models using macroeconomic indicators as drivers of distress

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1.

In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field

Assessment of Alcohol Use Patterns Among Spanish-Speaking Patients

OBJECTIVE: To assess drinking patterns of Spanish-speaking patients using a bilingual Computerized Alcohol Screening and brief Intervention (CASI) tablet computer equipped with the Alcohol Use Disorders Identification Test (AUDIT). METHODS: This retrospective study was conducted in a tertiary university hospital emergency department (ED) between 2006 and 2010. Data from 1,816 Spanish-speaking ED patients was analyzed using descriptive statistics, the chi-square test for independence, and the Kruskal-Wallis rank sum test for comparisons using quantitative variables. RESULTS: Overall, 15% of Spanish-speaking patients were at-risk drinkers, and 5% had an AUDIT score consistent with alcohol dependency (≥20). A higher percentage of Spanish-speaking males than females were at-risk drinkers or likely dependent. Spanish speaking males exhibited higher frequency of drinking days per week and higher number of drinks per day compared to females. Among older patients, non-drinking behavior increased and at-risk drinkers decreased. The majority of males and females were ready to change their behavior after the CASI intervention; 61% and 69% respectively scored 8-10. CONCLUSIONS: This study indicated that CASI was an effective tool for detecting at-risk and likely dependent drinking behavior in Spanish-speaking ED patients. The majority of patients were ready to change their drinking behavior. More alcohol screening and brief intervention tools should be tested and become readily accessible for Spanish-speaking patients

Reduced order models for a two-dimensional diffusion system

In this paper, a two-dimensional heat diffusion system modelled by a partial differential equation (PDE) is considered. Finite order approximations are constructed first by a direct application of the standard finite difference approximation (FD)scheme. Using standard tools, the constructed FD approximate models are reduced to computationally simpler models. Further, alternative approximate models are proposed using the asymptotic limits of the FD approximations. Numerical experiments suggest that the proposed alternative approximations are more accurate than the FD approximation