Utilizing driving simulators for persons with multiple sclerosis: A scoping review

ObjectiveThis scoping review synopsized and mapped the evidence on the utility of driving simulators for drivers with Multiple Sclerosis (MS) including participant characteristics (e.g., demographic, clinical) suited to simulator use; and driving scenario environments, maneuvers, and outcomes reflective of driving performance.Data SourcesThe research team searched six databases for English studies on driving simulator performance in drivers with MS.Study SelectionFour reviewers independently screened 976 unique titles, 148 abstracts, and 18 full-text sources for study inclusion or exclusion. Inclusion criteria ensured that studies utilized measures of driving simulator performance in adults 18 years or older with MS.Data ExtractionReviewers independently charted, verified, and achieved consensus on 100% of the data in the extraction table.Data SynthesisThe scoping review included thirteen studies (twelve assessment, one intervention), published between 2001 and 2021. Studies included small samples (N = 11–50) of adults (M age = 36–50 years; 40–91% female), mostly with a relapsing-remitting (53–100%) diagnosis and low to moderate physical disability (Expanded Disability Status Scale score < 6.0). The assessment studies utilized driving scenarios to assess pre-driving (n = 1) or driving abilities (n = 2), responses to hazardous events in suburban (n = 1) or urban environments (n = 4), or the ability to maintain speed or lateral lane positioning during monotonous highway drives (n = 7), with four scenarios also including responses to secondary divided attention tasks. The intervention study utilized driving simulation as a training program to improve driving-related skills.ConclusionsThe evidence on the utility of driving simulators for adults with MS is limited to assessment of driving performance, mostly during monotonous highway drives. Further research should consider exploring how driving simulators can be utilized to assess driving performance in other environments or for intervention. Gender should be examined to support gender diverse populations.     

The Grandiose Narcissism Scale: A Global and Facet-Level Measure of Grandiose Narcissism

The Narcissistic Personality Inventory (NPI) is the primary measure of grandiose narcissism (GN) despite possessing numerous limitations. Here we present a new 33-item measure of GN called the Grandiose Narcissism Scale (GNS) that exhibits a reproducible seven-factor structure that maps on to Raskin and Terry’s (1988) seven factor model. GNS subscales exhibit high reliability, with several being substantially more reliable than their NPI counterparts. As a full-scale, the GNS correlates with other variables in a way that is consistent with the theoretical portrait of GN. Additionally, two of the GNS subscales (entitlement, exploitativeness) are shown to uniquely predict independent measures of entitlement and exploitativeness, suggesting good subscale validity. Cumulatively, the GNS represents a viable complement or alternative to the NPI.     

Initial validation of the trust of automated systems test (TOAST)

ABSTRACT

Trust is a key determinant of whether people rely on automated systems in the military and the public. However, there is currently no standard for measuring trust in automated systems. In the present studies, we propose a scale to measure trust in automated systems that is grounded in current research and theory on trust formation, which we refer to as the Trust in Automated Systems Test (TOAST). We evaluated both the reliability of the scale structure and criterion validity using independent, military-affiliated and civilian samples. In both studies we found that the TOAST exhibited a two-factor structure, measuring system understanding and performance (respectively), and that factor scores significantly predicted scores on theoretically related constructs demonstrating clear criterion validity. We discuss the implications of our findings for advancing the empirical literature and in improving interface design.     

Fitting in a group: Theoretical development and validation of the Multidimensional Perceived Person–Group Fit scale

Despite the wide use of groups in organizations, research on individuals’ experiences of fit in their work groups has lagged due to lack of conceptual clarity of person–group (PG) fit and inconsistent measurement. To rectify these issues, we present an integrative definition of PG fit, which incorporates social- and task-related elements of group work, as well as supplementary and complementary conceptualizations of fit. Using this definition, we develop the Multidimensional Perceived Person-Group Fit (MPPGF) scale and validate it through five phases, across six samples. In Phase 1, we identified dimensions and generated items using a mix of deductive and inductive approaches. In Phase 2, we validated items yielding seven dimensions (value congruence, shared interests, perceived demographic similarity, needs-supplies match, goal similarity, common workstyle, and complementary attributes). In Phase 3, we examined how the dimensions combine to form an aggregate (formative) PG fit construct. The MPPGF scale showed convergent and discriminant validity with relevant constructs in Phase 4. In Phase 5, the MPPGF exhibited criterion-related and incremental validity with attitudes and performance beyond existing PG fit scales. Finally, we report dimension-specific results, demonstrating that MPPGF could be used to study questions regarding overall PG fit perceptions, as well as more narrow dimension-specific questions.     

Towards modern post-coma care based on neuroscientific evidence

BackgroundUnderstanding the mechanisms underlying human consciousness is pivotal to improve the prognostication and treatment of severely brain-injured patients. Consciousness remains an elusive concept and the identification of its neural correlates is an active subject of research, however recent neuroscientific advances have allowed scientists to better characterize disorders of consciousness. These breakthroughs question the historical nomenclature and our current management of post-comatose patients.MethodThis review examines the contribution of consciousness neurosciences to the current clinical management of severe brain injury. It investigates the major impact of consciousness disorders on healthcare systems, the scientific frameworks employed to identify their neural correlates and how evidence-based data from neuroimaging research have reshaped the landscape of post-coma care in recent years.ResultsOur increased ability to detect behavioral and neurophysiological signatures of consciousness has led to significant changes in taxonomy and clinical practice. We advocate for a multimodal framework for the management of severely brain-injured patients based on precision medicine and evidence-based decisions, integrating epidemiology, health economics and neuroethics.ConclusionsMajor progress in brain imaging and clinical assessment have opened the door to a new era of post-coma care based on standardized neuroscientific evidence. We highlight its implications in clinical applications and call for improved collaborations between researchers and clinicians to better translate findings to the bedside.     

Testing the factor structure of the Forgiveness Scale among Italian adolescent students

ABSTRACT

The aim of the present study was to analysis the factor structure of the Italian version of the Forgiveness Scale (FS) among 663 adolescent students in Italy. The FS involves of 15 items measuring forgiveness toward the wrongdoer. This scale comprises two subscales, Absence of Negative (AN) and Presence of Positive (PP). These subscales evaluate the absence of negative and the existence of positive emotions, thoughts, and behavioural inclinations. Results suggests that only 11 of the original items are valid in the Italian version of the FS. In contrast to the original study, the two dimensions of forgiveness (AN and PP) were independent of each other in the current analysis. Evidence for convergent validity was also found. The results provide some initial support for the bi-dimensionality and internal consistency of the Italian FS and offer a starting point for future research to be pursued in forgiveness.     

Verbal and practical intelligence in general anxiety,obsessive compulsive and major depression disorders

IntroductionPrevious researches have shown that anxiety symptoms are negatively associated with measures of intelligence. However, recent findings indicate possible positive relationships between Generalized Anxiety Disorders (GAD) and intelligence. Also, Obsessive Compulsive Disorder (OCD) is associated with a moderate degree of underperformance on cognitive tests, including deficient processing. There are inconsistent results to present the relationship between Major Depression Disorder (MDD) and IQ. The present study has three main aims. The first aim of this study is to investigate the difference between IQ in individuals with GAD, OCD and major depressive disorder, and normal group. The second purpose is to perform a comparative study between the GAD, OCD and MDD groups on verbal and non-verbal intelligence. The third aim of this study is to examine the relationships between GAD, OCD and MDD as well as their underlying cognitive processes, including worry, rumination, and post-event processing, with verbal and non-verbal intelligence.ObjectiveThe present study is performed on four groups of participants including those with GAD, OCD, MDD and Healthy Volunteer (HV) group consisting of individuals without psychiatric disorders.MethodThe number of 50 healthy volunteers as the control group, 45 patients with GAD, 20 patients with OCD and 25 patients with MDD (n = 140) were selected as the case-referent groups. The present study was a cross-sectional type and the research was performed based on the causal-comparative method. Verbal and non-verbal intelligence was measured with the Wechsler Adult Intelligence Scale-3rd edition (WAIS-III). Rumination and post-event processing were measured by PSWQ, RRS-BR, and PEPQ, respectively.ResultsThe results indicate that Verbal Intelligence and Verbal Comprehension Index in GAD patients have significant differences in comparison to the OCD, MDD and control groups. While, the value of the Working Memory Index (WMI) in the normal group is higher than the value of the same index in the GAD, OCD and MDD groups. Also, the values of the Processing Speed Index (PSI) in normal and GAD groups are higher than the OCD and MDD groups. The worry, rumination, and post-event processing in patients with GAD are positively correlated with general and verbal intelligence. But, verbal and non-verbal intelligence had a negative correlation with worry, rumination and post-event processing in healthy volunteers.ConclusionInvestigation of the possible connections between intelligence and the cognitive processes underlying emotional disorders can provide therapeutic strategies for smart individuals who are at risk for GAD.