Mental fatigue influence on effort-related cardiovascular response: difficulty effects and extension across cognitive performance domains

Two experiments investigated cardiovascular effects of mental fatigue as a function of (1) the difficulty of the cognitive challenge with which participants were confronted, and (2) the relevance of that challenge to the activity that instigated the fatigue. In the first, participants performed an easy (fatigue low) or difficult (fatigue high) counting task and then were presented an arithmetic challenge (task B relevance high) or a scanning challenge (task B relevance low) with instructions that they would avoid a noise if they attained a modest performance standard. Analysis of blood pressure responses assessed during the work periods revealed fatigue main effects, reflecting stronger responses for High Fatigue participants, regardless of the character of the second task. In the second, the procedure was the same except that it included a high performance standard and provided the chance to win a prize. Analysis of the pressure data revealed fatigue x work period interactions, reflecting relatively stronger responses among High Fatigue participants in work period 1, but relatively weaker responses among these participants in work period 2. Results confirm previous findings and support an analysis of fatigue influence on effort and associated cardiovascular responses. They also argue against the idea that mental fatigue influence may be confined to relevant cognitive performance realms.

Habituation or Normalization? Experiential and Respiratory Recovery From Voluntary Hyperventilation in Treated Versus Untreated Patients With Panic Disorder

Psychophysiological theories postulate respiratory dysregulation as a mechanism contributing to panic disorder (PD). Additionally, symptomatic and respiratory recovery from voluntary hyperventilation (HVT-recovery) have been shown to lag in PD and it is unclear if HVT-recovery normalizes with treatment. Thirty-seven panic disorder patients were randomized to hypoventilation therapy (TX, n = 20) or waitlist control (WL, n = 17) (Meuret et al., 2008). In a secondary analysis, their HVT-recovery was analyzed at pre- and post-TX/WL, compared to 29 healthy controls (HC). HVT included three phases: 5-min baseline, 3-min hyperventilation, and 8-min recovery. HVT-elicited symptom severity and anxiety were rated following each phase, and end-tidal PCO₂ and respiratory rate (RR) were recorded throughout. Treatment, compared to WL, was highly effective in reducing PD pathology (d = 2.21, Meuret et al., 2008). At pre-TX/WL, PD demonstrated delayed HVT-recovery PCO₂ and higher RR. Treated patients demonstrated normalization of HVT-recovery for PCO₂ and RR; however, improvements of HVT-recovery for symptom severity and anxiety did not differ between TX and WL. Results replicate pretreatment HVT respiratory recovery abnormalities in PD and further demonstrate normalization, comparable to HC, following successful treatment. The results provide support for respiratory dysregulation as a feature of PD and demonstrate the utility of HVT respiratory recovery as treatment outcome measure for respiration-based PD therapy.     

Interactions With Men and Whites Matter Too

We propose that individual differences in personality should be studied during periods of environmental change because these periods provide an opportunity to discern the general mechanisms that govern the functions and processes of personality. We delineate the circumstances wherein personality differences are accentuated and then specify the conditions whereby change is produced. Personality differences are likely to be revealed during transitions into unpredictable new situations, when there is a press to behave but no information about how to behave adaptively. Dispositional differences are thus accentuated as each person seeks to transform novel, ambiguous, and uncertain circumstances into familiar, clear, and expectable social encounters. Our theory also accounts for turning points in behavioral development: Systematic change is likely to occur during transitions into new situations, when there is a press to behave and when previous responses are actively discouraged while clear information is provided about how to behave adaptively.     

The Relationship Between Cumulative Risk and Promotive Factors and Violent Behavior Among Urban Adolescents

Resiliency theory posits that some youth exposed to risk factors do not develop negative behaviors due to the influence of promotive factors. This study examines the effects of cumulative risk and promotive factors on adolescent violent behavior and tests two models of resilience—the compensatory model and the protective model—in a sample of adolescent patients (14–18 years old; n = 726) presenting to an urban emergency department who report violent behavior. Cumulative measures of risk and promotive factors consist of individual characteristics and peer, family, and community influences. Hierarchical multiple regression was used to test the two models of resilience (using cumulative measures of risk and promotive factors) for violent behavior within a sample of youth reporting violent behavior. Higher cumulative risk was associated with higher levels of violent behavior. Higher levels of promotive factors were associated with lower levels of violent behavior and moderated the association between risk and violent behaviors. Our results support the risk-protective model of resiliency and suggest that promotive factors can help reduce the burden of cumulative risk for youth violence.     

The Dimensional Nature of Externalizing Behaviors in Adolescence: Evidence from a Direct Comparison of Categorical,Dimensional, and Hybrid Models

Researchers have recognized the importance of developing an accurate classification system for externalizing disorders, though much of this work has been framed by a priori preferences for categorical vs. dimensional constructs. Newer statistical technologies now allow categorical and dimensional models of psychopathology to be compared empirically. In this study, we directly compared the fit of categorical and dimensional models of externalizing behaviors in a large and representative community sample of adolescents at two time points separated by nearly 2.5 years (N = 2027; mean age at Time 1 = 11.09 years; 50.8% female). Delinquent and aggressive behaviors were assessed with child and parent Child Behavior Checklist reports. Latent trait, latent class, and factor mixture models were fit to the data, and at both time points, the latent trait model provided the best fit to the data. The item parameters were inspected and interpreted, and it was determined that the items were differentially sensitive across all regions of the dimension. We conclude that classification models can be based on empirical evidence rather than a priori preferences, and while current classification systems conceptualize externalizing problems in terms of discrete groups, they can be better conceptualized as dimensions.     

What do conscientious people do? Development and validation of the Behavioral Indicators of Conscientiousness (BIC)

Typical assessments of personality traits collapse behaviors, thoughts, and feelings into a single measure without distinguishing between these different manifestations. To address this lack of specification, the current study develops and validates a measure that assesses a number of broad behaviors associated with the personality trait of conscientiousness (the Behavioral Indicators of Conscientiousness; BIC). Findings suggest that the lower-order structure of conscientious behaviors is mostly similar to the lower-order structure in extant trait measures. Furthermore, a daily diary method was used to validate the BIC against frequency counts of conscientious behavior. Overall, the results identify specific behaviors that conscientious individuals tend to perform and highlight possible advantages of this approach over broad trait assessment.     

Formalization of the ad hominem argumentation scheme

In this paper, several examples from the literature, and one central new one, are used as case studies of texts of discourse containing an argumentation scheme that has now been widely investigated in literature on argumentation. Argumentation schemes represent common patterns of reasoning used in everyday conversational discourse. The most typical ones represent defeasible arguments based on nonmonotonic reasoning. Each scheme has a matching set of critical questions used to evaluate a particular argument fitting that scheme. The project is to study how to build a formal computational model of this scheme for the circumstantial ad hominem argument using argumentation tools and systems developed in artificial intelligence. It is shown how the formalization built using these tools is applicable to the tasks of identification, analysis and evaluation of the central case studied. One important implication of the work is that it provides a foundational basis for showing how other argumentation schemes can be formalized.