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Affect and emotion play a critical role in the lives of humans across many domains such as family, health, and work. In fact, Forgas (1994) proposes that “affect is a pervasive part of the way we see the world” (p. 40). Many scholars have proposed and developed theories and frameworks regarding affect that can be and have been applied to various work domains. Our focus in this chapter is on the role of affect in the performance management (PM) process. In particular, the work of Forgas and colleagues on the affect infusion model (AIM: Forgas & George, 2001; Forgas & Williams, 2016) and of Weiss and Cropanzano on affective events theory (AET: Weiss & Cropanzano, 1996) are helpful in explaining how affect fits into this critical work-related process.
Disease trajectories of patients with anxiety disorders are highly diverse and approximately 60% remain chronically ill. The ability to predict disease course in individual patients would enable personalized management of these patients. This study aimed to predict recovery from anxiety disorders within 2 years applying a machine learning approach.
In total, 887 patients with anxiety disorders (panic disorder, generalized anxiety disorder, agoraphobia, or social phobia) were selected from a naturalistic cohort study. A wide array of baseline predictors (N = 569) from five domains (clinical, psychological, sociodemographic, biological, lifestyle) were used to predict recovery from anxiety disorders and recovery from all common mental disorders (CMDs: anxiety disorders, major depressive disorder, dysthymia, or alcohol dependency) at 2-year follow-up using random forest classifiers (RFCs).
At follow-up, 484 patients (54.6%) had recovered from anxiety disorders. RFCs achieved a cross-validated area-under-the-receiving-operator-characteristic-curve (AUC) of 0.67 when using the combination of all predictor domains (sensitivity: 62.0%, specificity 62.8%) for predicting recovery from anxiety disorders. Classification of recovery from CMDs yielded an AUC of 0.70 (sensitivity: 64.6%, specificity: 62.3%) when using all domains. In both cases, the clinical domain alone provided comparable performances. Feature analysis showed that prediction of recovery from anxiety disorders was primarily driven by anxiety features, whereas recovery from CMDs was primarily driven by depression features.
The current study showed moderate performance in predicting recovery from anxiety disorders over a 2-year follow-up for individual patients and indicates that anxiety features are most indicative for anxiety improvement and depression features for improvement in general.
Unit cohesion may protect service member mental health by mitigating effects of combat exposure; however, questions remain about the origins of potential stress-buffering effects. We examined buffering effects associated with two forms of unit cohesion (peer-oriented horizontal cohesion and subordinate-leader vertical cohesion) defined as either individual-level or aggregated unit-level variables.
Longitudinal survey data from US Army soldiers who deployed to Afghanistan in 2012 were analyzed using mixed-effects regression. Models evaluated individual- and unit-level interaction effects of combat exposure and cohesion during deployment on symptoms of post-traumatic stress disorder (PTSD), depression, and suicidal ideation reported at 3 months post-deployment (model n's = 6684 to 6826). Given the small effective sample size (k = 89), the significance of unit-level interactions was evaluated at a 90% confidence level.
At the individual-level, buffering effects of horizontal cohesion were found for PTSD symptoms [B = −0.11, 95% CI (−0.18 to −0.04), p < 0.01] and depressive symptoms [B = −0.06, 95% CI (−0.10 to −0.01), p < 0.05]; while a buffering effect of vertical cohesion was observed for PTSD symptoms only [B = −0.03, 95% CI (−0.06 to −0.0001), p < 0.05]. At the unit-level, buffering effects of horizontal (but not vertical) cohesion were observed for PTSD symptoms [B = −0.91, 90% CI (−1.70 to −0.11), p = 0.06], depressive symptoms [B = −0.83, 90% CI (−1.24 to −0.41), p < 0.01], and suicidal ideation [B = −0.32, 90% CI (−0.62 to −0.01), p = 0.08].
Policies and interventions that enhance horizontal cohesion may protect combat-exposed units against post-deployment mental health problems. Efforts to support individual soldiers who report low levels of horizontal or vertical cohesion may also yield mental health benefits.
Invasive predators have decimated island biodiversity worldwide. Rats (Rattus spp.) are perhaps the greatest conservation threat to island fauna. The ground nesting Palau Micronesian Scrubfowl Megapodius laperouse senex (Megapodiidae) inhabits many of the islands of Palau’s Rock Island Southern Lagoon Conservation Area (RISL) in the western Pacific. These islands are also heavily visited by tourists and support populations of introduced rats, both of which may act as added stressors for the scrubfowl. Using passive chew-tag and call playback surveys on five tourist-visited and five tourist-free islands, we investigated if rats and tourists negatively affect scrubfowl, and if higher rat activity is associated with tourist presence. Rat detection probability and site occupancy were significantly higher on tourist visited (89% and 99%, respectively) compared to tourist-free islands (52% and 73%). Scrubfowl were detected at significantly more stations on tourist-free (93%) than tourist visited (47%) islands and their relative abundance was higher (2.66 and 1.58 birds per station, respectively), although not statistically significantly. While rat occupancy probability likewise had a non-significant negative effect on scrubfowl numbers across islands, our results show a negative relationship between tourist presence and scrubfowl in the RISL. Our findings also suggest that rat populations may be augmented by tourist visitation in the RISL. Although this situation may not seriously affect the scrubfowl, it may be highly detrimental to populations of other threatened island landbirds.
Emergency medical services (EMS) is called for a 65-year-old man with a 1-week history of cough, fever, and mild shortness of breath now reporting chest pain. Vitals on scene were HR 110, BP 135/90, SpO2 88% on room air. EMS arrives at the emergency department (ED). As the patient is moved to a negative pressure room, he becomes unresponsive with no palpable pulse. What next steps should be discussed in order to protect the team and achieve the best possible patient outcome?
Behavioral and psychological symptoms of dementia (BPSD), constitute a major clinical component of Alzheimer’s disease (AD). There is a growing interest in BPSD as they are responsible for a large share of the suffering of patients and caregivers, and they strongly determine the patient’s lifestyle and management. Better detection and understanding of these symptoms is essential to provide appropriate management. This article is a consensus produced by the behavioral group of the European Alzheimer’s Disease Consortium (EADC). The aim of this article is to present clinical description and biological correlates of the major behavioral and psychological symptomatology in AD. BPSD is not a unitary concept. Instead, it should be divided into several symptoms or more likely: groups of symptoms, each possibly reflecting a different prevalence, course over time, biological correlate and psychosocial determinants. There is some clinical evidence for clusters within groups of BPSD. Biological studies indicate that patients with AD and BPSD are associated with variations in the pathological features (atrophy, brain perfusion/metabolism, histopathology) when compared to people with AD without BPSD. An individually tailored approach taking all these aspects into account is warranted as it may offer more, and better, pharmacological and non-pharmacological treatment opportunities.
Asking psychiatric in-patients about their drug consumption is unlikely to yield reliable results, particularly where alcohol and illicit drug use is involved. The main aim of this study was to compare spontaneous self-reports of drug use in hospitalized psychiatric patients to biological measures of same. A secondary aim was to determine which personal factors were associated with the use of tobacco, alcohol, and illicit drugs as indicated by these biological measures.
The consumption of substances was investigated using biological measures (urine cotinine, cannabis, opiates, cocaine, amphetamines and barbiturates; blood carbohydrate-deficient transferrin [CDT] and gamma-glutamyl transferase [GGT]) in 486 consecutively admitted psychiatric patients, one day following their hospitalization. Patients’ self-reports of alcohol, tobacco and illicit drugs consumption were recorded. Socio-professional and familial data were also recorded.
The results show a low correlation between biological measures and self-reported consumption of alcohol and illicit drugs. Fifty-two percent of the patients under-reported their consumption of illicit drugs (kappa = .47). Patients with schizophrenia and personality disorders were more likely to disclose their illicit drug consumption relative to patients suffering from mood disorders and alcohol dependence. Fifty-six percent of patients underreported alcohol use, as evaluated by CDT (kappa = .2), and 37% underreported when using the CDT + GGT measure as an indicator. Smoking appeared to be reported adequately. In the study we observed a strong negative correlation between cannabis use and age, a strong correlation between tobacco and cannabis use, and correlations between tobacco, cannabis and alcohol consumption.
This study is the first to compare self-reports and biological measures of alcohol, tobacco and illicit drug uses in a large sample of inpatients suffering from various categories of psychiatric illnesses, allowing for cross-diagnosis comparisons.
We examined the 2-year stability of neurological soft signs (NSS) in 29 patients after a first episode of psychosis. The numbers of NSS at inclusion and at 2 years follow-up were similar, but there was a significant increase in the numbers of NSS in the sub-group of patients whose dosage of antipsychotic medication had increased over time.
We describe an ultra-wide-bandwidth, low-frequency receiver recently installed on the Parkes radio telescope. The receiver system provides continuous frequency coverage from 704 to 4032 MHz. For much of the band (
), the system temperature is approximately 22 K and the receiver system remains in a linear regime even in the presence of strong mobile phone transmissions. We discuss the scientific and technical aspects of the new receiver, including its astronomical objectives, as well as the feed, receiver, digitiser, and signal processor design. We describe the pipeline routines that form the archive-ready data products and how those data files can be accessed from the archives. The system performance is quantified, including the system noise and linearity, beam shape, antenna efficiency, polarisation calibration, and timing stability.
The updated common rule, for human subjects research, requires that consents “begin with a ‘concise and focused’ presentation of the key information that will most likely help someone make a decision about whether to participate in a study” (Menikoff, Kaneshiro, Pritchard. The New England Journal of Medicine. 2017; 376(7): 613–615.). We utilized a community-engaged technology development approach to inform feature options within the REDCap software platform centered around collection and storage of electronic consent (eConsent) to address issues of transparency, clinical trial efficiency, and regulatory compliance for informed consent (Harris, et al. Journal of Biomedical Informatics 2009; 42(2): 377–381.). eConsent may also improve recruitment and retention in clinical research studies by addressing: (1) barriers for accessing rural populations by facilitating remote consent and (2) cultural and literacy barriers by including optional explanatory material (e.g., defining terms by hovering over them with the cursor) or the choice of displaying different videos/images based on participant’s race, ethnicity, or educational level (Phillippi, et al. Journal of Obstetric, Gynecologic, & Neonatal Nursing. 2018; 47(4): 529–534.).
We developed and pilot tested our eConsent framework to provide a personalized consent experience whereby users are guided through a consent document that utilizes avatars, contextual glossary information supplements, and videos, to facilitate communication of information.
The eConsent framework includes a portfolio of eight features, reviewed by community stakeholders, and tested at two academic medical centers.
Early adoption and utilization of this eConsent framework have demonstrated acceptability. Next steps will emphasize testing efficacy of features to improve participant engagement with the consent process.
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.
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.
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).
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.
The present study aims to investigate the effect of wholegrain and legume consumption on the incidence of age-related cataract in an older Australian population-based cohort. The Blue Mountains Eye Study (BMES) is a population-based cohort study of eye diseases among older adults aged 49 years or older (1992–1994, n 3654). Of 2334 participants of the second examination of the BMES (BMES 2, 1997–2000), 1541 (78·3 % of survivors) were examined 5 years later (BMES 3) who had wholegrain and legume consumption estimated from the FFQ at BMES 2. Cataract was assessed using photographs taken during examinations following the Wisconsin cataract grading system. Multivariable-adjusted logistic regression models were used to assess associations with the 5-year incidence of cataract from BMES 2 (baseline) to BMES 3. The 5-year incidence of cortical, nuclear and posterior subcapsular (PSC) cataract was 18·2, 16·5 and 5·9 %, respectively. After adjustment for age, sex and other factors, total wholegrain consumption at baseline was not associated with incidence of any type of cataract. High consumption of legumes showed a protective association for incident PSC cataract (5th quintile: adjusted OR 0·37; 95 % CI 0·15, 0·92). There was no significant trend of this association across quintiles (P = 0·08). In this older Australian population, we found no associations between wholegrain intake at baseline and the 5-year incidence of three cataract types. However, intake of legumes in the highest quintile, compared with the lowest quintile, may protect against PSC formation, a finding needing replication in other studies.
National guidance cautions against low-intensity interventions for people with personality disorder, but evidence from trials is lacking.
To test the feasibility of conducting a randomised trial of a low-intensity intervention for people with personality disorder.
Single-blind, feasibility trial (trial registration: ISRCTN14994755). We recruited people aged 18 or over with a clinical diagnosis of personality disorder from mental health services, excluding those with a coexisting organic or psychotic mental disorder. We randomly allocated participants via a remote system on a 1:1 ratio to six to ten sessions of Structured Psychological Support (SPS) or to treatment as usual. We assessed social functioning, mental health, health-related quality of life, satisfaction with care and resource use and costs at baseline and 24 weeks after randomisation.
A total of 63 participants were randomly assigned to either SPS (n = 33) or treatment as usual (n = 30). Twenty-nine (88%) of those in the active arm of the trial received one or more session (median 7). Among 46 (73%) who were followed up at 24 weeks, social dysfunction was lower (−6.3, 95% CI −12.0 to −0.6, P = 0.03) and satisfaction with care was higher (6.5, 95% CI 2.5 to 10.4; P = 0.002) in those allocated to SPS. Statistically significant differences were not found in other outcomes. The cost of the intervention was low and total costs over 24 weeks were similar in both groups.
SPS may provide an effective low-intensity intervention for people with personality disorder and should be tested in fully powered clinical trials.
Coexistence of people and large carnivores depends on a complex combination of factors that vary geographically. Both the number and range of the Asiatic lion Panthera leo leo in the Greater Gir landscape, India, has increased since the 1990s. The challenge has been managing the success of conservation, with a particular focus on the spillover population ranging extensively in human-dominated landscapes. To understand the factors conducive to lion survival in this landscape, we undertook an interview-based survey. Overall, people expressed positive, tolerant attitudes towards lions. There was a distinct contrast between people's liking for lions (76.9% of respondents) compared to leopards (27.7%) in spite of greater depredation of livestock by lions (82.6%) than by leopards (17.4%). Younger people and respondents having greater awareness regarding lions expressed positive attitudes. Although community discussions on lions had a positive effect, there was no evidence that land-holding, management interventions, personal encounters with lions, or association of lions with religion affected attitudes. Respondents who had experienced livestock depredation tended to express negative attitudes. Respondents with positive attitudes towards lions favoured non-interventionist strategies for managing lions in the village areas. We advocate consideration of varied factors influencing tolerance of wildlife in conservation planning. We emphasize that site-specific human–wildlife conflict issues such as crop-foraging by wild ungulates and variation in attitudes towards different species should also be considered. Specifically, improved livestock management, motivation of local youth and their participation in awareness campaigns could all further strengthen the prevalent positive attitudes towards lions.
A collaborative research model was developed and tested to enable regional healthcare systems to join multisite clinical trials emanating from the Clinical and Translational Science Award (CTSA) Trial Innovation Network (TIN) by the Institute of Translational Health Sciences at the University of Washington and the Northwest Participant and Clinical Interactions (NW PCI) Network. The NW PCI is a collaborative group of regional research programs located at medical centers, healthcare systems, and universities across Washington, Wyoming, Alaska, Montana, and Idaho. This article describes the purpose, development, barriers, and initial experience with feasibility assessment for TIN-supported studies in the NW PCI. The tools and processes of the NW PCI Network were adapted to enable network sites to assess studies for clinical relevance and feasibility. Seven of seventeen TIN-supported studies were reviewed for consideration; three of which resulted in successful completion of study documentation for site selection by NW PCI sites. The NW PCI/TIN model can be adapted by other CTSAs to increase involvement of regional research programs in national multisite clinical research studies. Barriers to expanding TIN-supported trials to regional networks include short timelines for study document submissions, insufficient site reimbursement rates, and non-feasible study designs.
The density of information in digital health records offers new potential opportunities for automated prediction of cost-relevant outcomes.
We investigated the extent to which routinely recorded data held in the electronic health record (EHR) predict priority service outcomes and whether natural language processing tools enhance the predictions. We evaluated three high priority outcomes: in-patient duration, readmission following in-patient care and high service cost after first presentation.
We used data obtained from a clinical database derived from the EHR of a large mental healthcare provider within the UK. We combined structured data with text-derived data relating to diagnosis statements, medication and psychiatric symptomatology. Predictors of the three different clinical outcomes were modelled using logistic regression with performance evaluated against a validation set to derive areas under receiver operating characteristic curves.
In validation samples, the full models (using all available data) achieved areas under receiver operating characteristic curves between 0.59 and 0.85 (in-patient duration 0.63, readmission 0.59, high service use 0.85). Adding natural language processing-derived data to the models increased the variance explained across all clinical scenarios (observed increase in r2 = 12–46%).
EHR data offer the potential to improve routine clinical predictions by utilising previously inaccessible data. Of our scenarios, prediction of high service use after initial presentation achieved the highest performance.
IQ as a measure of intelligence is at the same time a success and a failure: a success because of the predictive value of IQ, and a failure because we do not know precisely what it is measuring. Intelligence has been defined in many ways. To discuss the definitional issue, we rely on Aristotle and his four ways to define something: explaining what it looks like, what it consists of, where it comes from, and what it is for. In this chapter we present an alternative view on how the measurement of intelligence has evolved and how it relates to different views on what intelligence is. The first initiatives to measure intelligence were inspired by physics and a strictly quantitative approach. These initiatives were based on the notion of general intelligence as mental energy, and led to tests to measure intelligence such as reaction times and perceptual discrimination (i.e., what intelligence looks like). IQ as a quantification of intelligence is from a later date and is based on a quite different type of test, inspired by an interest in what intelligence is for, as expressed in the work of some of the most famous intelligence test developers (e.g., Binet, Terman, Wechsler). The type of content of these tests is preserved in most intelligence tests today, mainly because of the predictive success of IQ tests. There now is also agreement that intelligence is not unitary but multidimensional. Robert Sternberg’s major endeavor to unravel processes has shown that there is no clear-cut answer to the question of what intelligence consists of in terms of cognitive processes or how processes can be measured. Other endeavors have resulted in measurement of genetic and environmental influences, in a revival of reaction time and discrimination measures, and in hypotheses about biological mechanics, such as mitochondrial efficiency. We conclude that intelligence is still a vague concept without much hope that it will be clarified soon, even though its measurement through a variety of cognitive tasks seems to work well from a predictive point of view.
The climate crisis requires nations to achieve human well-being with low national levels of carbon emissions. Countries vary from one another dramatically in how effectively they convert resources into well-being, and some nations with low levels of emissions have relatively high objective and subjective well-being. We identify urgent research and policy agendas for four groups of countries with either low or high emissions and well-being indicators. Least studied are those with low well-being and high emissions. Understanding social and political barriers to switching from high-carbon to lower-carbon modes of production and consumption, and ways to overcome them, will be fundamental.
This paper provides an up-to-date review of the problems related to the generation, detection and mitigation of strong electromagnetic pulses created in the interaction of high-power, high-energy laser pulses with different types of solid targets. It includes new experimental data obtained independently at several international laboratories. The mechanisms of electromagnetic field generation are analyzed and considered as a function of the intensity and the spectral range of emissions they produce. The major emphasis is put on the GHz frequency domain, which is the most damaging for electronics and may have important applications. The physics of electromagnetic emissions in other spectral domains, in particular THz and MHz, is also discussed. The theoretical models and numerical simulations are compared with the results of experimental measurements, with special attention to the methodology of measurements and complementary diagnostics. Understanding the underlying physical processes is the basis for developing techniques to mitigate the electromagnetic threat and to harness electromagnetic emissions, which may have promising applications.