Rhetorics of Health Citizenship: Exploring Vernacular Critiques of Government’s Role in Supporting Healthy Living

This article explores how older adults negotiate and partially counter normative expectations of “health citizenship” that stress individual responsibility for maintaining health and preventing health problems. Based on interviews with 55 participants in Canada and the U.K. about what healthy living means to them in their everyday lives, we examine how the dominant discourse of personal responsibility in participants’ responses is counterpointed by a more muted, yet significant, alternative critical perspective on the relative roles and responsibilities of government and citizens in making healthy living possible. Drawing on Hauser’s (1999) concept of vernacular rhetoric along with recent theories of environmental citizenship, we analyze how participants exercise their civic-political judgment by using a logic of dissociation to argue that what government says about the importance of healthy living is incompatible with what government does to support citizens’ abilities to eat healthily and live actively. By deploying this technique of argumentation to address structural-political-economic dimensions of healthy living, participants enact, in modest ways, an alternative, critical-collective mode of health citizenship that complicates and, at least partially, disrupts neoliberal constructions of the individually responsible, “good” health citizen.     

Automated Integrative Complexity: Current Challenges and Future Directions

Automating integrative complexity is fraught with many challenges. To address these challenges, we discuss the tension between a specificity approach and a more flexible multiple‐pass approach, the multifaceted nature of the complexity construct, the gold standard for complexity measurement, the difficulty of human scoring and its consequences for automation, and some ways forward for creating the best complexity measurements. In so doing, we present new data demonstrating (1) initial evidence for the validity of a new automated system for measuring two different forms of complexity (elaborative and dialectical), (2) the danger of constructing measurements in a purely ad hoc fashion that ignores prospective testing, (3) human‐to‐computer correspondence is in part a function of human‐to‐human correspondence, (4) human‐to‐computer correspondence increases systematically as one uses tests with larger units of analysis, and (5) the lack of correspondence of different systems (both human and automated) may occur in part because they were designed for different units of analysis.     

Strategies for the Control of Unwanted Thoughts in Adolescents: The Adolescent Thought Control Questionnaire (TCQ-A)

A paucity of research on thought suppression exists among adolescents. The present study describes the preliminary psychometrics of the Adolescent Thought Control Questionnaire (TCQ-A) and its relationships with internalizing symptomatology in adolescents. Adolescents between 12 and 18 years of age completed the TCQ-A and other self-report instruments. Principal components analysis yielded five-factors theoretically derived from an adult measure: distraction, social, re-appraisal, worry, and punishment control strategies. The five-factor structure was well fitted to the data in a confirmatory factor analysis. Adequate evidence of reliability was obtained; however, internal consistency of the punishment factor was not adequate in the sample. The TCQ-A evidenced convergent and divergent validity with internalizing and externalizing symptomatology respectively. Future research applications of the TCQ-A, suggestions for further analyses, and refinement of the instrument are also discussed.     

Common and specific cognitive deficits in schizophrenia: relationships to function

The goals of the present study were to assess the interrelationships among tasks from the MATRICS and CNTRACS batteries, to determine the degree to which tasks from each battery capture unique variance in cognitive dysfunction in schizophrenia, and to determine the ability of tasks from each battery to predict functional outcome. Subjects were 104 schizophrenia patients and 132 healthy control subjects recruited as part of the CNTRACS initiative. All subjects completed four CNTRACS tasks and two tasks from the MATRICS battery: Brief Assessment of Cognition in Schizophrenia Symbol Coding and the Hopkins Verbal Learning Test. Functional outcome was also assessed in the schizophrenia subjects. In both the patient and control groups, we found significant intercorrelations between all higher order cognitive tasks (episodic memory, goal maintenance, processing speed, verbal learning) but minimal relationships with the visual task. For almost all tasks, scores were significantly related to measures of functional outcome, with higher associations between CNTRACS tasks and performance-based measures of function and between one of the MATRICS tasks and self-reported functioning, relative to the other functioning measures. After regressing out variance shared by other tasks, we continued to observe group differences in performance among task residuals, particularly for measures of episodic memory from both batteries, although these residuals did not correlate as robustly with functional outcome as raw test scores. These findings suggest that there exists both shared and specific variance across cognitive tasks related to cognitive and functional impairments in schizophrenia and that measures derived from cognitive neuroscience can predict functional capacity and status in schizophrenia.     

Modeling Nonstationary Emotion Dynamics in Dyads using a Time-Varying Vector-Autoregressive Model

Emotion dynamics are likely to arise in an interpersonal context. Standard methods to study emotions in interpersonal interaction are limited because stationarity is assumed. This means that the dynamics, for example, time-lagged relations, are invariant across time periods. However, this is generally an unrealistic assumption. Whether caused by an external (e.g., divorce) or an internal (e.g., rumination) event, emotion dynamics are prone to change. The semi-parametric time-varying vector-autoregressive (TV-VAR) model is based on well-studied generalized additive models, implemented in the software R. The TV-VAR can explicitly model changes in temporal dependency without pre-existing knowledge about the nature of change. A simulation study is presented, showing that the TV-VAR model is superior to the standard time-invariant VAR model when the dynamics change over time. The TV-VAR model is applied to empirical data on daily feelings of positive affect (PA) from a single couple. Our analyses indicate reliable changes in the male’s emotion dynamics over time, but not in the female’s—which were not predicted by her own affect or that of her partner. This application illustrates the usefulness of using a TV-VAR model to detect changes in the dynamics in a system.     

The structure and process of emotional experience following nonmarital relationship dissolution: dynamic factor analyses of love, anger, and sadness

Dynamic factor analysis was used to examine the structure and process of daily emotions in a sample of young adults following a romantic breakup. Participants completed a daily diary for 4 weeks reporting on their love/longing for their ex-partner, anger, and sadness. Using a lag-1 process factor analysis model, results revealed that love/longing, sadness, and anger could be reliably distinguished as separate but correlated mood states in a trivariate model. Four emotional dynamics (amplification, reversing, persistence, and cooccurrence) were operationalized and investigated. Differences in these dynamics were observed on the basis of overall adjustment to the separation and attachment styles. Findings are discussed in terms of attachment and contemporary emotion theories, as well as the need to operationalize time-based affective processes.