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A theory of discrimination which assumes that subjects compare psychological values evoked by a stimulus to a subjective referent is proposed. Momentary differences between psychological values for the stimulus and the referent are accumulated over time until one or the other of two response thresholds is first exceeded. The theory is analyzed as a random walk bounded between two absorbing barriers. A general solution to response conditioned expected response times is computed and the important role played by the moment generating function (mgf) for increments to the random walk is examined. From considerations of the mgf it is shown that unlike other random walk models [Stone, 1960; Laming, 1968] the present theory does not imply that response conditioned mean correct and error times must be equal. For two fixed stimuli and a fixed referent it is shown that by controlling values of response thresholds, subjects can produce Receiver Operating Characteristics similar or identical to those predicted by Signal Detection Theory, High Threshold Theory, or Low Threshold Theory.
Tropical drylands are characterized by extreme environmental conditions that, coupled with anthropogenic habitat degradation, can limit the occurrence of native species. Species that are most sensitive to these pressures may be prone to disappear in the context of climate change. In this study, we evaluated the influence of environmental and anthropogenic variables on the occurrence of large mammals and birds at the Tatacoa Desert, an arid region in central Colombia. We tested the relationship between the magnitude of the species’ responses to environmental, human-related variables and to body mass, and percentage of carnivory. Overall, we found a positive association between forest cover and the occupancy of the largest mammals (> 8kg), negative associations between solar radiation and human footprint with individual species occupancy, and a positive association of species occupancy with distance to touristic sites. Our results suggest that the largest and/or more carnivore species may be affected positively by forest cover and negatively by intense solar radiation highlighting the consequences of the increasing process of desertification on large mammals and birds at the upper Magdalena River basin of Colombia under the current scenario of global climate change.
Irritability is a transdiagnostic symptom dimension in developmental psychopathology, closely related to the Research Domain Criteria (RDoC) construct of frustrative nonreward. Consistent with the RDoC framework and calls for transdiagnostic, developmentally-sensitive assessment methods, we report data from a smartphone-based, naturalistic ecological momentary assessment (EMA) study of irritability. We assessed 109 children and adolescents (Mage = 12.55 years; 75.20% male) encompassing several diagnostic groups – disruptive mood dysregulation disorder (DMDD), attention-deficit/hyperactivity disorder (ADHD), anxiety disorders (ANX), healthy volunteers (HV). The participants rated symptoms three times per day for 1 week. Compliance with the EMA protocol was high. As tested using multilevel modeling, EMA ratings of irritability were strongly and consistently associated with in-clinic, gold-standard measures of irritability. Further, EMA ratings of irritability were significantly related to subjective frustration during a laboratory task eliciting frustrative nonreward. Irritability levels exhibited an expected graduated pattern across diagnostic groups, and the different EMA items measuring irritability were significantly associated with one another within all groups, supporting the transdiagnostic phenomenology of irritability. Additional analyses utilized EMA ratings of anxiety as a comparison with respect to convergent validity and transdiagnostic phenomenology. The results support new measurement tools that can be used in future studies of irritability and frustrative nonreward.
Pharmacological management of personality disorders (PD) is controversial and some guidelines state medications are not to be used. Yet prescribing medications is endemic in practice. This chapter reviews recent evidence regarding the use of medication for PD patients; and novel approaches highlighting possible neuropathological mechanisms and a clinical approach to psychopharmacological management.
The commentaries (this volume) stressed the need for quality research that can close the gaps between evidence and practice. The recently completed trial by Crawford and colleagues (2018) stands out as a reference point for trial methodology that will advance our understanding of the role of pharmacological management of patients with PDs. Future research trials must expand the outcomes of interest including measures that capture “clinical well-being and quality of life” and more attention to recording adverse effects. Changing functional outcomes remains one of the most challenging issues related to our current evidence-based treatment approaches for patients with PDs. The need to harmonize our approach to measuring functional improvement remains a priority for future intervention research. Pharmacological research will advance by developing a consensus on the best measures to employ, incorporating dimensional models of personality pathology and creating partnerships between patients, clinicians and care providers in order to develop a meaningful research agenda going forward.
A number of studies have investigated white matter abnormalities in patients with bipolar disorder (BD) using diffusion tensor imaging. However, tractography studies yielded heterogeneous results partly due to small sample sizes.
Aims:
In this work we aimed to study white matter abnormalities using whole-brain tractography in a large multicenter sample of patients with BD I with and without psychotic features.
Objectives:
To compare mean generalized fractional anisotropy (GFA) along deep white matter tracts between patients with BD with a positive history of psychosis during illness phases, no such history and healthy controls.
Methods:
We acquired diffusion-weighted MRI for 118 patients with BD I and 86 healthy controls using the same acquisition parameters and scanning hardware. We used Q-ball imaging tractography and an automatized segmentation technique to reconstruct 22 known deep white matter tracts and to obtain the mean GFA along each tract.
Results:
Patients with BD had lower GFA values than controls along the corpus callosum (body and splenium), the left cingulum and the left arcuate fasciculus, when controlling for age, gender and acquisition site. All results with an exception for the long fibers of the left cingulum were driven by patients with a positive history of psychotic symptoms.
Conclusions:
We demonstrated a reduced integrity of interhemispheric, limbic and arcuate white matter tracts in patients with BD I. Further, interhemispheric pathways were more disrupted in patients with psychotic symptoms, underscoring the role of interhemispheric connectivity in the pathophysiology of BD with psychosis.
No evidence-based therapy for borderline personality disorder (BPD) exhibits a clear superiority. However, BPD is highly heterogeneous, and different patients may specifically benefit from the interventions of a particular treatment.
Methods
From a randomized trial comparing a year of dialectical behavior therapy (DBT) to general psychiatric management (GPM) for BPD, long-term (2-year-post) outcome data and patient baseline variables (n = 156) were used to examine individual and combined patient-level moderators of differential treatment response. A two-step bootstrapped and partially cross-validated moderator identification process was employed for 20 baseline variables. For identified moderators, 10-fold bootstrapped cross-validated models estimated response to each therapy, and long-term outcomes were compared for patients randomized to their model-predicted optimal v. non-optimal treatment.
Results
Significant moderators surviving the two-step process included psychiatric symptom severity, BPD impulsivity symptoms (both GPM > DBT), dependent personality traits, childhood emotional abuse, and social adjustment (all DBT > GPM). Patients randomized to their model-predicted optimal treatment had significantly better long-term outcomes (d = 0.36, p = 0.028), especially if the model had a relatively stronger (top 60%) prediction for that patient (d = 0.61, p = 0.004). Among patients with a stronger prediction, this advantage held even when applying a conservative statistical check (d = 0.46, p = 0.043).
Conclusions
Patient characteristics influence the degree to which they respond to two treatments for BPD. Combining information from multiple moderators may help inform providers and patients as to which treatment is the most likely to lead to long-term symptom relief. Further research on personalized medicine in BPD is needed.
A core component of stigma is being set apart as a distinct, dichotomously different kind of person. We examine whether information on a continuum from mental health to mental illness reduces stigma.
Method
Online survey experiment in a quota sample matching the German population for age, gender and region (n = 1679). Participants randomly received information on either (1) a continuum, (2) a strict dichotomy of mental health and mental illness, or (3) no information. We elicited continuity beliefs and stigma toward a person with schizophrenia or depression.
Results
The continuum intervention decreased perceived difference by 0.19 standard deviations (SD, P < 0.001) and increased social acceptance by 0.18 SD (P = 0.003) compared to the no-text condition. These effects were partially mediated by continuity beliefs (proportion mediated, 25% and 26%), which increased by 0.19 SD (P < 0.001). The dichotomy intervention, in turn, decreased continuity beliefs and increased notions of difference, but did not affect social acceptance.
Conclusion
Attitudes towards a person with mental illness can be improved by providing information on a mental health-mental illness continuum.
Demographic and societal changes make it more and more indispensable to protect against the risk of care costs surpassing a person’s financial means. Nevertheless, only few governments have acted to create public funding systems that, if existent at all, usually only cover part of the expenses for elder care. Long-term care insurance (LTCI) is designed to fund basic care needs in later life, such as washing and dressing. Regardless of where individuals receive this support in old age, how it is funded is a growing issue. In many countries, people may augment their compulsory state system with private policies available from insurance companies.
In Germany, a well-established public system that underwent major reforms exists. From 2017 onwards, a completely new care definition and assessment process replaced the former ones. Two major changes constitute the reform: First, when evaluating the need for care, the former focus on estimating the length of time required for care was replaced by the determination of the degree of independence. Second, cognitive impairments will be acknowledged more adequately than in the past, where the focus was on physical abilities. Furthermore, the contribution to be paid by the care recipient in a nursing home will no longer be dependent on the severity of the care need.
In Germany, private LTC products used a combination of the social security definition, an ADL-based trigger and a dementia trigger until the end of 2016. Thus, the reform has repercussions for the local private insurance industry. What would happen to in-force business, how a new benefit trigger should look like, how old and new definition compare and how pricing rates can be derived were only some of the questions that had to be answered in advance.
The reform could point the way for future public schemes and private policies elsewhere. Which questions had to be answered and what issues had to be solved in advance, together with lessons learned during and shortly after the reform was undertaken, can serve as an accompaniment for the introduction or reform of public LTC schemes and for the local insurance industry in other countries.
Background: The impact of alcohol use disorders (AUD) on psychological treatments for depression or anxiety in primary care psychological treatment services is unknown. Aims: To establish levels of alcohol misuse in an Improving Access to Psychological Therapies (IAPT) service, examine the impact of higher risk drinking on IAPT treatment outcomes and drop-out, and to inform good practice in working with alcohol misuse in IAPT services. Method: 3643 patients completed a brief questionnaire on alcohol use pre-treatment in addition to measures of depression, anxiety and functioning. Symptom and functioning measures were re-administered at all treatment sessions. Results: Severity of alcohol misuse was not associated with treatment outcomes, although those scoring eight or more on the AUDIT-C were more likely to drop out from treatment. Conclusions: IAPT services may be well placed to offer psychological therapies to patients with common mental disorders and comorbid AUD. Patients with AUD can have equivalent treatment outcomes to those without AUD, but some higher risk drinkers may find accessing IAPT treatment more difficult as they are more likely to drop out. Alcohol misuse on its own should not be used as an exclusion criterion from IAPT services. Recommendations are given as to how clinicians can: adjust their assessments to consider the appropriateness of IAPT treatment for patients that misuse alcohol, consider the potential impact of alcohol misuse on treatment, and improve engagement in treatment for higher risk drinkers.
Policy-makers and practitioners have a need to assess community resilience in disasters. Prior efforts conflated resilience with community functioning, combined resistance and recovery (the components of resilience), and relied on a static model for what is inherently a dynamic process. We sought to develop linked conceptual and computational models of community functioning and resilience after a disaster.
Methods
We developed a system dynamics computational model that predicts community functioning after a disaster. The computational model outputted the time course of community functioning before, during, and after a disaster, which was used to calculate resistance, recovery, and resilience for all US counties.
Results
The conceptual model explicitly separated resilience from community functioning and identified all key components for each, which were translated into a system dynamics computational model with connections and feedbacks. The components were represented by publicly available measures at the county level. Baseline community functioning, resistance, recovery, and resilience evidenced a range of values and geographic clustering, consistent with hypotheses based on the disaster literature.
Conclusions
The work is transparent, motivates ongoing refinements, and identifies areas for improved measurements. After validation, such a model can be used to identify effective investments to enhance community resilience. (Disaster Med Public Health Preparedness. 2018;12:127–137)
Emerging CVD risk factors (e.g. HDL function and central haemodynamics) may account for residual CVD risk experienced by individuals who meet LDL-cholesterol and blood pressure (BP) targets. Recent evidence suggests that these emerging risk factors can be modified by polyphenol-rich interventions such as soya, but additional research is needed. This study was designed to investigate the effects of an isoflavone-containing soya protein isolate (delivering 25 and 50 g/d soya protein) on HDL function (i.e. ex vivo cholesterol efflux), macrovascular function and blood markers of CVD risk. Middle-aged adults (n 20; mean age=51·6 (sem 6·6) years) with moderately elevated brachial BP (mean systolic BP=129 (sem 9) mmHg; mean diastolic BP=82·5 (sem 8·4) mmHg) consumed 0 (control), 25 and 50 g/d soya protein in a randomised cross-over design. Soya and control powders were consumed for 6 weeks each with a 2-week compliance break between treatment periods. Blood samples and vascular function measures were obtained at baseline and following each supplementation period. Supplementation with 50 g/d soya protein significantly reduced brachial diastolic BP (−2·3 mmHg) compared with 25 g/d soya protein (Tukey-adjusted P=0·03) but not the control. Soya supplementation did not improve ex vivo cholesterol efflux, macrovascular function or other blood markers of CVD risk compared with the carbohydrate-matched control. Additional research is needed to clarify whether effects on these CVD risk factors depend on the relative health of participants and/or equol producing capacity.
Among pathogens shed by cattle, Escherichia coli O157 ranks highest in those causing human illness. To date, prevalence and risk factors for O157 shedding have been assessed in feedlot, but not dairy cattle. The study aimed to determine prevalence levels and risk factors for O157 atypical enteropathogenic E. coli (aEPEC) and enterohaemorrhagic E. coli (EHEC) shedding in dairy cattle. Dairy cattle (n = 899) within the first 21 days of lactation were sampled monthly over the course of 1 year, on three dry lot dairies surrounding Fort Collins, CO. During visits multiple factors were measured (disease history, pharmaceutical use, climate measures, etc.), and cattle faeces were collected and assessed for presence of O157 and virulence genes. Logistic regression analysis was performed using O157 outcomes and measured factors. Prevalence of O157 aEPEC was 3·7%, while EHEC was 3·0%. Many potential risk factors were highly correlated, and used to build separate multivariable models. An increase in humidity was positively associated with aEPEC, while fluid faeces and history of disease showed a negative association. Meanwhile, an increase in temperature and antibiotic treatment was positively associated with EHEC, while more days in milk, higher hygiene score and cow contact were negatively associated. These results may guide mitigation strategies that reduce O157 shedding, and contamination of the human food chain.
Language use is of increasing interest in the study of mental illness. Analytical approaches range from phenomenological and qualitative to formal computational quantitative methods. Practically, the approach may have utility in predicting clinical outcomes. We harnessed a real-world sample (blog entries) from groups with psychosis, strong beliefs, odd beliefs, illness, mental illness and/or social isolation to validate and extend laboratory findings about lexical differences between psychosis and control subjects.
Method
We describe the results of two experiments using Linguistic Inquiry and Word Count software to assess word category frequencies. In experiment 1, we compared word use in psychosis and control subjects in the laboratory (23 per group), and related results to subject symptoms. In experiment 2, we examined lexical patterns in blog entries written by people with psychosis and eight comparison groups. In addition to between-group comparisons, we used factor analysis followed by clustering to discern the contributions of strong belief, odd belief and illness identity to lexical patterns.
Results
Consistent with others’ work, we found that first-person pronouns, biological process words and negative emotion words were more frequent in psychosis language. We tested lexical differences between bloggers with psychosis and multiple relevant comparison groups. Clustering analysis revealed that word use frequencies did not group individuals with strong or odd beliefs, but instead grouped individuals with any illness (mental or physical).
Conclusions
Pairing of laboratory and real-world samples reveals that lexical markers previously identified as specific language changes in depression and psychosis are probably markers of illness in general.
Language use is often disrupted in patients with schizophrenia; novel computational approaches may provide new insights.
Aims
To test word use patterns as markers of the perceptual, cognitive and social experiences characteristic of schizophrenia.
Method
Word counting software was applied to first-person accounts of schizophrenia and mood disorder.
Results
More third-person plural pronouns (‘they’) and fewer first-person singular pronouns (‘I’) were used in schizophrenia than mood disorder accounts. Schizophrenia accounts included fewer words related to the body and ingestion, and more related to religion. Perceptual and causal language were negatively correlated in schizophrenia accounts but positively correlated in mood disorder accounts.
Conclusions
Differences in pronouns suggest decreased self-focus or perhaps even an understanding of self as other in schizophrenia. Differences in how perceptual and causal words are correlated suggest that long-held delusions represent a decreased coupling of explanations with sensory experience over time.
Working within a series of partnerships among an academic health center, local health departments (LHDs), and faith-based organizations (FBOs), we validated companion interventions to address community mental health planning and response challenges in public health emergency preparedness.
Methods
We implemented the project within the framework of an enhanced logic model and employed a multi-cohort, pre-test/post-test design to assess the outcomes of 1-day workshops in psychological first aid (PFA) and guided preparedness planning (GPP). The workshops were delivered to urban and rural communities in eastern and midwestern regions of the United States. Intervention effectiveness was based on changes in relevant knowledge, skills, and attitudes (KSAs) and on several behavioral indexes.
Results
Significant improvements were observed in self-reported and objectively measured KSAs across all cohorts. Additionally, GPP teams proved capable of producing quality drafts of basic community disaster plans in 1 day, and PFA trainees confirmed upon follow-up that their training proved useful in real-world trauma contexts. We documented examples of policy and practice changes at the levels of local and state health departments.
Conclusions
Given appropriate guidance, LHDs and FBOs can implement an effective and potentially scalable model for promoting disaster mental health preparedness and community resilience, with implications for positive translational impact.(Disaster Med Public Health Preparedness. 2014;8:511-526)
The northwest Atlantic has had a rich history of living marine resource exploitation. As stocks have undergone sequential depletion with some dramatic instances of stock declines in this region, there have been calls for evaluating and improving approaches to managing our use of these resources. As part of these calls and along with recognition that there are broader issues to consider when managing a fishery, the need for more holistic ecosystem-based approaches to manage living marine resources (LMRs) have been increasingly recognized. Here we present a history of LMR management for both Canadian and US waters. We also provide contextual information for the major ecosystems in this region, with synopses and descriptions of major biophysical features in the northwest Atlantic. After noting the main data sets in this region, we discuss some of the major ecosystem models produced by our institutions. Finally, we discuss current efforts to implement ecosystem-based marine fisheries management in the northwest Atlantic.
Introduction
There have been numerous prescriptions and admonitions to implement an ecosystem-based approach to the management of fisheries (EBMF; Larkin 1996, Link 2002a, 2002b, Garcia et al. 2003, Browman and Stergiou 2004, 2005). There have been relatively few instances where such an approach has been implemented to any significant extent (Pitcher et al. 2009), but the number is growing as fisheries scientists, managers, and stakeholders grapple with the specific details of how to do EBMF. As a discipline, and as a practice, we are now moving beyond the “whys” and “whats” of EBMF (Murawski 2007) and squarely facing the “hows.”
Few Presidents in American history established so complete and far-reaching a control over his party as did Woodrow Wilson during the first years of his tenure in the White House.* Indeed, before the end of his first term he had become almost the absolute master of his party, able to effect revolutionary changes in party policy without the previous knowledge and consent of Democratic leaders in Congress and the country. He attained this stature in part by his methods of public leadership—his bold representation of public opinion and his incomparable strategy in dealing with the legislative branch. He won this position of authority also through less obvious and more subtle means—a systematic use of the immense patronage at his command as an instrument by which to achieve effective and responsible party government. Confronted by no entrenched national party organization and no body of officeholders loyal to another man, he was able to build from the ground up and to weld the widely scattered and disparate Democratic forces into something approximating a national machine. Let us see how he used his power to mold the character of his party, and with what consequences.