Tobacco use in bipolar disorder

Tobacco use in mental health in general and bipolar disorder in particular remains disproportionally common, despite declining smoking rates in the community. Furthermore, interactions between tobacco use and mental health have been shown, indicating the outcomes for those with mental health disorders are impacted by tobacco use. Factors need to be explored and addressed to improve outcomes for those with these disorders and target specific interventions for people with psychiatric illness to cease tobacco smoking. In the context of bipolar disorder, this review explores; the effects of tobacco smoking on symptoms, quality of life, suicidal behavior, the biological interactions between tobacco use and bipolar disorder, the interactions between tobacco smoking and psychiatric medications, rates and factors surrounding tobacco smoking cessation in bipolar disorder and suggests potential directions for research and clinical translation. The importance of this review is to bring together the current understanding of tobacco use in bipolar disorder to highlight the need for specific intervention.

Contact & connect-an intervention to reduce depression stigma and symptoms in construction workers: protocol for a randomised controlled trial

BACKGROUND: Males employed in the construction industry have high rates of suicide. Although reasons underpinning this risk are multifaceted, poor help-seeking and stigma are represent major contributors. Males in the construction industry are also exposed to other risk factors for mental ill health and suicide, including unemployment. Sigma-reducing interventions that are accessible and attractive to recently unemployed males in the construction industry could therefore improve help-seeking, and address depression and suicidal behaviour in this population. METHODS/DESIGN: Contact&Connect will use a parallel individual randomized design to evaluate the effectiveness of a multimedia-based intervention aimed at reducing stigma. The intervention consists of a package of 12 brief contact interventions (BCIs) delivered over a six month period. BCIs will direct participants to informational programs and microsites. Content will address three major themes: debunking depression myths and stereotypes, normalisation, and empowerment. Target enrolment is 630 (315 in each arm), each to be followed for 12 months. Eligible participants will be males, between 30 and 64 years, unemployed at the time of recruitment, registered with Incolink (a social welfare trustee company for unemployed members of the construction industry), and own a smart phone with enabled internet connectivity. DISCUSSION: At present, there are no programs that have been shown to be effective in reducing stigma in the blue-collar male population. Contact&Connect promises to provide a tailored, efficient, and scalable approach to reducing stigma, depressive symptoms and suicidality among unemployed males. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Register ACTRN12615000792527  (date of registration: 30 July, 2015).

Pharmacological interventions for self-harm in adults

Background
Self-harm (SH; intentional self-poisoning or self-injury) is common, often repeated, and strongly associated with suicide. This is an update of a broader Cochrane review on psychosocial and pharmacological treatments for deliberate SH, first published in 1998 and previously updated in 1999. We have now divided the review in to three separate reviews. This review is focused on pharmacological interventions in adults who self harm.
Objectives
To identify all randomised controlled trials of pharmacological agents or natural products for SH in adults, and to conduct meta-analyses (where possible) to compare the effects of specific treatments with comparison types of treatment (e.g., placebo/alternative pharmacological treatment) for SH patients.
Search methods
For this update the Cochrane Depression, Anxiety and Neurosis Review Group (CCDAN) Trials Search Co-ordinator searched the CCDAN Specialised Register (September 2014). Additional searches of MEDLINE, EMBASE, PsycINFO, and CENTRAL were conducted to October 2013.
Selection criteria
We included randomised controlled trials comparing pharmacological treatments or natural products with placebo/alternative pharmacological treatment in individuals with a recent (within six months) episode of SH resulting in presentation to clinical services.
Data collection and analysis
We independently selected trials, extracted data, and appraised trial quality. For binary outcomes, we calculated odds ratios (ORs) and their 95% confidence intervals (CIs). For continuous outcomes we calculated the mean difference (MD) and 95% CI. Meta-analysis was only possible for one intervention (i.e. newer generation antidepressants) on repetition of SH at last follow-up. For this analysis, we pooled data using a random-effects model. The overall quality of evidence for the primary outcome was appraised for each intervention using the GRADE approach.
Main results
We included seven trials with a total of 546 patients. The largest trial included 167 participants. We found no significant treatment effect on repetition of SH for newer generation antidepressants (n = 243; k = 3; OR 0.76, 95% CI 0.42 to 1.36; GRADE: low quality of evidence), low-dose fluphenazine (n = 53; k = 1; OR 1.51, 95% CI 0. 50 to 4.58; GRADE: very low quality of evidence), mood stabilisers (n = 167; k = 1; OR 0.99, 95% CI 0.33 to 2.95; GRADE: low quality of evidence), or natural products (n = 49; k = 1; OR 1.33, 95% CI 0.38 to 4.62; GRADE: low quality of evidence). A significant reduction in SH repetition was found in a single trial of the antipsychotic flupenthixol (n = 30; k = 1; OR 0.09, 95% CI 0.02 to 0.50), although the quality of evidence for this trial, according to the GRADE criteria, was very low. No data on adverse effects, other than the planned outcomes relating to suicidal behaviour, were reported.
Authors’ conclusions
Given the low or very low quality of the available evidence, and the small number of trials identified, it is not possible to make firm conclusions regarding pharmacological interventions in SH patients. More and larger trials of pharmacotherapy are required. In view of an indication of positive benefit for flupenthixol in an early small trial of low quality, these might include evaluation of newer atypical antipsychotics. Further work should include evaluation of adverse effects of pharmacological agents. Other research could include evaluation of combined pharmacotherapy and psychological treatment.

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)

Electronic medical record (EMR) offers promises for novel analytics. However, manual feature engineering from EMR is labor intensive because EMR is complex - it contains temporal, mixed-type and multimodal data packed in irregular episodes. We present a computational framework to harness EMR with minimal human supervision via restricted Boltzmann machine (RBM). The framework derives a new representation of medical objects by embedding them in a low-dimensional vector space. This new representation facilitates algebraic and statistical manipulations such as projection onto 2D plane (thereby offering intuitive visualization), object grouping (hence enabling automated phenotyping), and risk stratification. To enhance model interpretability, we introduced two constraints into model parameters: (a) nonnegative coefficients, and (b) structural smoothness. These result in a novel model called eNRBM (EMR-driven nonnegative RBM). We demonstrate the capability of the eNRBM on a cohort of 7578 mental health patients under suicide risk assessment. The derived representation not only shows clinically meaningful feature grouping but also facilitates short-term risk stratification. The F-scores, 0.21 for moderate-risk and 0.36 for high-risk, are significantly higher than those obtained by clinicians and competitive with the results obtained by support vector machines.

The making of geometry

Geometry has been a source of inspiration in the design of the manmade world for millennia; it also provides representational means enabling development of a concept into a built object. In the past three decades computing methodologies have provided the designer with unprecedented tools to explore highly complex forms, create digital models and fabricate them. This paper describes a computational methodology for the transition of forms from abstract geometric configurations to physical objects: a parametric design process assists from the initial ideation to the final prototyping with 3D printing technologies. The five regular polyhedra are used as a case study; this paper explores how parametric based procedures develop these geometric shapes into digital models of structures to be fabricated in different sizes and materials.

The treatment of suicidality in adolescents by psychosocial interventions for depression: a systematic literature review

OBJECTIVE: Given depression is a significant risk factor for suicidal behaviour, it is possible that interventions for depression may also reduce the risk of suicide in adolescents. The purpose of this literature review is to determine whether psychological interventions aimed to prevent and/or treat depression in adolescents can also reduce suicidality. METHODS: We conducted a systematic review of psychological interventions aimed to prevent and/or treat depression in adolescents in which outcomes for suicidality were reported, using five databases: PsycINFO, Embase, Medline, CINAHL and Scopus. Study quality was assessed using the Cochrane Collaboration's tool for assessing risk of bias. RESULTS: A total of 35 articles pertaining to 12 treatment trials, two selective prevention trials and two universal prevention trials met inclusion criteria. No studies were identified that used a no-treatment control. In both intervention and active control groups, suicidality decreased over time; however, most structured psychological depression treatment interventions did not outperform pharmaceutical or treatment as usual control groups. Depression prevention studies demonstrated small but statistically significant reductions in suicidality. LIMITATIONS: Analysis of study quality suggested that at least 10 of the 16 studies have a high risk of bias. Conclusive comparisons across studies are problematic due to differences in measures, interventions, population differences and control groups used. CONCLUSIONS: It is unclear whether psychological treatments are more effective than no treatment since no study has used a no-treatment control group. There is evidence to suggest that Cognitive Behavioural Therapy interventions produce pre-post reductions in suicidality with moderate effect sizes and are at least as efficacious as pharmacotherapy in reducing suicidality; however, it is unclear whether these effects are sustained. There are several trials showing promising evidence for family-based and interpersonal therapies, with large pre-post effect sizes, and further evaluation with improved methodology is required. Depression prevention interventions show promising short-term effects.

The parametric making of geometry: the platonic solids

Geometry is a source of inspiration in the design and making of the manmade world. Computing techniques provide tools to explore complex forms: the research question is how computational tool can be systemised to assist with the translation of geometric concepts into physical objects. The purpose is to describe computational/manufacturing methods for creating digital models and physical objects from regular geometric configurations. The methods are based on parametric design, assisting from ideation to the generation of digital models with material specifications – using the five regular convex polyhedra as a case study. The results are comprised of digital models used for prototyping with 3D printing technologies and hybrid fabrication processes: the products are built geometric shapes ranging from body ornaments to sculptures. These procedures can be extended to generate designs based on irregular geometric shapes. Parametric-based methods are recommended in the digital modeling and fabrication of any geometric form.