Genetic optimism:Framing genes and mental illness in the news

Over the past two decades the pace and specificity of discoveries associating genetics with mental illness has accelerated, which is reflected in an increase in news coverage about the genetics of mental disorder. The news media is a major source of public understanding of genetics and a strong influence on public discourse. This paper examines the news coverage of genetics and mental illness (i.e., bipolar illness and schizophrenia) over a 25 year period, emphasizing the peak period of 1987-1994. Using a sample of 110 news stories from 5 major American newspapers and 3 news magazines, we identify the frame of "genetic optimism" which dominated the reporting of genetics and mental illness beginning in the mid-1980s. The structure of the frame is comprised of 3 elements: a gene for the disorder exists; it will be found; and it will be good. New discoveries of genes were announced with great fanfare, but the most promising claims could not be replicated or were retracted in short order. Despite these disconfirmations, genetic optimism persisted in subsequent news stories. While the scientific accuracy of the gene stories is high, the genetic optimism frame distorts some of the findings, misrepresents and reifies the impact of genes on mental disorder, and leaves no space for critics or an examination of potential negative impacts. The stances of reporters, scientists and editors may all in different ways contribute to the perpetuation of genetic optimism. Genetic optimism presents an overly sanguine picture of the state of genetics; as we enter the genetic age it is important to balance the extraneous "hype and hope" contained in news stories of genetics and mental illness.

Mental health needs of children and youth with learning disabilities:Overview of a community needs assessment

The purpose of the present report is to describe a community needs assessment that puts the process and choice of a suitable approach into a context. The study examined the mental health needs of children and youth with learning disabilities and their families and how they fit within the continuum of services in Metropolitan Toronto. A series of recommendations was developed for the Ministry of Community and Social Services. The recommendations emphasize: prevention, training and consultation, and research. The study illustrates the importance of involving relevant constituencies in both the planning of a needs assessment and the formulation and implementation of recommendations based on the investigation.

Combating the mental health stigma with nostalgia

We report research implicating nostalgia as an intrapersonal means of warding off the stigmatization of persons with mental illness. We hypothesized and found that nostalgia about an encounter with a person with mental illness improves attitudes toward the mentally ill. In Experiment 1, undergraduates who recalled an encounter with a mentally ill person while focusing on central (vs. peripheral) features of the nostalgia prototype reported a more positive outgroup attitude. This beneficial effect of nostalgia was mediated by greater inclusion of the outgroup in the self (IOGS). In Experiment 2, undergraduates who recalled a nostalgic (vs. ordinary) interaction with a mentally ill person subsequently showed a more positive outgroup attitude. Results supported a serial mediation model whereby nostalgia increased social connectedness, which predicted greater IOGS and outgroup trust. IOGS and outgroup trust, in turn, predicted more positive outgroup attitudes. We ruled out alternative explanations for the results (i.e., mood, perceived positivity, and typicality of the recalled outgroup member). The findings speak to the intricate psychological processes underlying the prejudice-reduction function of nostalgia and their interventional potential. Copyright © 2013 John Wiley & Sons, Ltd.

Robust food supply supply chains:An integrated framework for vulnerability assessment and disturbance management

The operation of supply chains (SCs) has for many years been focused on efficiency, leanness and responsiveness. This has resulted in reduced slack in operations, compressed cycle times, increased productivity and minimised inventory levels along the SC. Combined with tight tolerance settings for the realisation of logistics and production processes, this has led to SC performances that are frequently not robust. SCs are becoming increasingly vulnerable to disturbances, which can decrease the competitive power of the entire chain in the market. Moreover, in the case of food SCs non-robust performances may ultimately result in empty shelves in grocery stores and supermarkets.
The overall objective of this research is to contribute to Supply Chain Management (SCM) theory by developing a structured approach to assess SC vulnerability, so that robust performances of food SCs can be assured. We also aim to help companies in the food industry to evaluate their current state of vulnerability, and to improve their performance robustness through a better understanding of vulnerability issues. The following research questions (RQs) stem from these objectives:
RQ1: What are the main research challenges related to (food) SC robustness?
RQ2: What are the main elements that have to be considered in the design of robust SCs and what are the relationships between these elements?
RQ3: What is the relationship between the contextual factors of food SCs and the use of disturbance management principles?
RQ4: How to systematically assess the impact of disturbances in (food) SC processes on the robustness of (food) SC performances?
To answer these RQs we used different methodologies, both qualitative and quantitative. For each question, we conducted a literature survey to identify gaps in existing research and define the state of the art of knowledge on the related topics. For the second and third RQ, we conducted both exploration and testing on selected case studies. Finally, to obtain more detailed answers to the fourth question, we used simulation modelling and scenario analysis for vulnerability assessment.
Main findings are summarised as follows.
Based on an extensive literature review, we answered RQ1. The main research challenges were related to the need to define SC robustness more precisely, to identify and classify disturbances and their causes in the context of the specific characteristics of SCs and to make a systematic overview of (re)design strategies that may improve SC robustness. Also, we found that it is useful to be able to discriminate between varying degrees of SC vulnerability and to find a measure that quantifies the extent to which a company or SC shows robust performances when exposed to disturbances.
To address RQ2, we define SC robustness as the degree to which a SC shows an acceptable performance in (each of) its Key Performance Indicators (KPIs) during and after an unexpected event that caused a disturbance in one or more logistics processes. Based on the SCM literature we identified the main elements needed to achieve robust performances and structured them together to form a conceptual framework for the design of robust SCs. We then explained the logic of the framework and elaborate on each of its main elements: the SC scenario, SC disturbances, SC performance, sources of food SC vulnerability, and redesign principles and strategies.
Based on three case studies, we answered RQ3. Our major findings show that the contextual factors have a consistent relationship to Disturbance Management Principles (DMPs). The product and SC environment characteristics are contextual factors that are hard to change and these characteristics initiate the use of specific DMPs as well as constrain the use of potential response actions. The process and the SC network characteristics are contextual factors that are easier to change, and they are affected by the use of the DMPs. We also found a notable relationship between the type of DMP likely to be used and the particular combination of contextual factors present in the observed SC.
To address RQ4, we presented a new method for vulnerability assessments, the VULA method. The VULA method helps to identify how much a company is underperforming on a specific Key Performance Indicator (KPI) in the case of a disturbance, how often this would happen and how long it would last. It ultimately informs the decision maker about whether process redesign is needed and what kind of redesign strategies should be used in order to increase the SC’s robustness. The VULA method is demonstrated in the context of a meat SC using discrete-event simulation. The case findings show that performance robustness can be assessed for any KPI using the VULA method.
To sum-up the project, all findings were incorporated within an integrated framework for designing robust SCs. The integrated framework consists of the following steps: 1) Description of the SC scenario and identification of its specific contextual factors; 2) Identification of disturbances that may affect KPIs; 3) Definition of the relevant KPIs and identification of the main disturbances through assessment of the SC performance robustness (i.e. application of the VULA method); 4) Identification of the sources of vulnerability that may (strongly) affect the robustness of performances and eventually increase the vulnerability of the SC; 5) Identification of appropriate preventive or disturbance impact reductive redesign strategies; 6) Alteration of SC scenario elements as required by the selected redesign strategies and repeat VULA method for KPIs, as defined in Step 3.
Contributions of this research are listed as follows. First, we have identified emerging research areas - SC robustness, and its counterpart, vulnerability. Second, we have developed a definition of SC robustness, operationalized it, and identified and structured the relevant elements for the design of robust SCs in the form of a research framework. With this research framework, we contribute to a better understanding of the concepts of vulnerability and robustness and related issues in food SCs. Third, we identified the relationship between contextual factors of food SCs and specific DMPs used to maintain robust SC performances: characteristics of the product and the SC environment influence the selection and use of DMPs; processes and SC networks are influenced by DMPs. Fourth, we developed specific metrics for vulnerability assessments, which serve as a basis of a VULA method. The VULA method investigates different measures of the variability of both the duration of impacts from disturbances and the fluctuations in their magnitude.
With this project, we also hope to have delivered practical insights into food SC vulnerability. First, the integrated framework for the design of robust SCs can be used to guide food companies in successful disturbance management. Second, empirical findings from case studies lead to the identification of changeable characteristics of SCs that can serve as a basis for assessing where to focus efforts to manage disturbances. Third, the VULA method can help top management to get more reliable information about the “health” of the company.
The two most important research opportunities are: First, there is a need to extend and validate our findings related to the research framework and contextual factors through further case studies related to other types of (food) products and other types of SCs. Second, there is a need to further develop and test the VULA method, e.g.: to use other indicators and statistical measures for disturbance detection and SC improvement; to define the most appropriate KPI to represent the robustness of a complete SC. We hope this thesis invites other researchers to pick up these challenges and help us further improve the robustness of (food) SCs.

The impact of hyperemesis gravidarum on maternal mental health and maternal-fetal attachment

In addition to physical health risks, it has been postulated that hyperemesis gravidarum (HG) - severe and persistent nausea and vomiting during pregnancy - can adversely affect maternal mental health and maternal-fetal attachment.

Micro-arthropod communities under human disturbance: is taxonomic aggregation a valuable tool for detecting multivariate change? Evidence from Mediterranean soil oribatid coenoses

Animal communities are sensitive to environmental disturbance, and several multivariate methods have recently been developed to detect changes in community structure. The complex taxonomy of soil invertebrates constrains the use of the community level in monitoring environmental changes, since species identification requires expertise and time. However, recent literature data on marine communities indicate that little multivariate information is lost in the taxonomic aggregation of species data to high rank taxa. In the present paper, this hypothesis was tested on two oribatid mite (oribatida, Acari) assemblages under two different kinds of disturbance: metal pollution and fires. Results indicate that data sets built at the genus and family systematic rank can detect the effects of disturbance with little loss of information. This is an encouraging result in view of the use of the community level as a preliminary tool for describing patterns of human-disturbed soil ecosystems. (c) 2006 Elsevier SAS. All rights reserved.

The effects of the Omagh bomb on adolescent mental health: a school-based study

Background: The main objective of this study was to assess psychiatric morbidity among adolescentsfollowing the Omagh car bombing in Northern Ireland in 1998.

Methods: Data was collected within schools from adolescents aged between 14 and 18 years via a selfcompletionbooklet comprised of established predictors of PTSD; type of exposure, initialemotional response, long-term adverse physical problems, predictors derived from Ehlers andClark’s (2000) cognitive model, a PTSD symptoms measure (PDS) and the General HealthQuestionnaire (GHQ).

Results:Those with more direct physical exposure were significantly more likely to meet caseness onthe GHQ and the PDS. The combined pre and peri trauma risk factors highlighted in previousmeta-analyses accounted for 20% of the variance in PDS scores but the amount of varianceaccounted for increased to 56% when the variables highlighted in Ehlers and Clark’scognitive model for PTSD were added.

Conclusions: High rates of chronic PTSD were observed in adolescents exposed to the bombing. Whilstincreased exposure was associated with increased psychiatric morbidity, the best predictors ofPTSD were specific aspects of the trauma (‘seeing someone you think is dying’), what youare thinking during the event (‘think you are going to die’) and the cognitive mechanismsemployed after the trauma. As these variables are in principle amenable to treatment theresults have implications for teams planning treatment interventions after future traumas.

Effectiveness of Criminal Justice Liaison and Diversion Services for Offenders With Mental Disorders: A Review

Objective: The authors evaluated and synthesised the best-available evidence relating to the effectiveness of CJLD service models with respect to changes in mental health status and/or criminal recidivism.Methods: Research examining the effectiveness of CJLD services when compared to traditional Criminal Justice System (CJS) responses was reviewed and systematically appraised according to Campbell/Cochrane guidelines. Key outcomes included a reduction in offending and post-intervention changes in mental health. Results: Comprehensive searches of published and unpublished literature identified 6571 studies which varied considerably in terms of their methodological approach and overall quality. Ten studies met the inclusion criteria. The synthesised findings indicated that, when compared to traditional CJS outcomes, CJLD services appeared to be effective in terms of identifying MDOs and impacting positively on criminal justice and mental health outcomes.Conclusions: Although the evidence may be deemed to be moderate in terms of methodological rigour, overall, the findings suggest that CJLD services can be beneficial. The effectiveness of services depends upon the model of service delivery, the availability of community services and the engagement of MDOs.The successful implementation of CJLD services requires a clearer recognition of the importance of system of care principles.

Physiotherapy for Sleep Disturbance in People With Chronic Low Back Pain:Results of a Feasibility Randomized Controlled Trial

Objective: To determine the feasibility of a randomized controlled trial investigating the effectiveness of physiotherapy for sleep disturbance in chronic low back pain (CLBP) (=12wks). Design: Randomized controlled trial with evaluations at baseline, 3 months, and 6 months. Setting: Outpatient physiotherapy department in an academic teaching hospital. Participants: Participants with CLBP were randomly assigned to a walking program (n=20; mean age ± SD, 46.4±13.8y), supervised exercise class (n=20; mean age ± SD, 41.3±11.9y), or usual physiotherapy (n=20; mean age ± SD, 47.1±14.3y). The 3-month evaluation was completed by 44 participants (73%), and 42 (70%) participants completed the 6-month evaluation. Interventions: Participants received a physiotherapy-delivered 8-week walking program, an 8-week group supervised exercise class (1 class/wk), or 1-to-1 usual physiotherapy (advice, manual therapy, and exercise). Main Outcome Measures: Sleep was assessed by the self-reported Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Pittsburgh Sleep Diary, and objective actigraphy. Results: Groups were comparable at baseline. Most (95%, n=57) of the participants had sleep disturbance. The acceptability of actigraphy was excellent at baseline (58 of 60 participants), but dropped at 3 months (26 of 44 participants). There were improvements on the PSQI and ISI in all groups at 3 and 6 months, with predominantly medium effect sizes (Cohen d=0.2-0.5). Conclusions: The high prevalence of sleep disturbance indicated the feasibility of good recruitment in future trials. The PSQI would be a suitable screening tool and outcome measure alongside an objective nonobtrusive sleep outcome measure. The effectiveness of physiotherapy for sleep disturbance in CLBP warrants investigation in a fully powered randomized controlled trial. © 2013 American Congress of Rehabilitation Medicine.

Voltage Dip Benchmarking in Power Quality and Disturbance Monitoring

This paper examines power quality benchmarks in the electricity supply industry (ESI) and impact of standards for the reduction of voltage dip incidents. The paper considers adherence to particular standards and is supported by several case studies from incidents where voltage dips have been detected and assessed by the power systems division of Scottish Power and where improvements have been implemented to help militate against subsequent incidents.