Differences in psychosocial responses to pain between sufficiently and insufficiently active adults with arthritis

Objective: Adults with arthritis struggle to meet the physical activity recommendation for disease self-management. Identifying psychosocial factors that differentiate adults who meet (sufficiently active) or do not meet (insufficiently active) the recommendation is needed. This study sought to examine differences in psychosocial responses to arthritis pain among adults who were sufficiently or insufficiently active.

Design: This prospective study included adults with medically diagnosed arthritis (N = 136, M_age = 49.75 ± 13.88 years) who completed two online surveys: (1) baseline: pain and psychosocial responses to pain and (2) two weeks later: physical activity.

Main outcome measures: Psychosocial responses examined in this study were psychological flexibility in response to pain, pain anxiety and maladaptive responses to pain anxiety.

Results: A between-groups MANCOVA comparing sufficiently active (n = 87) to insufficiently active (n = 49) participants on psychosocial responses, after controlling for pain intensity, was significant (p = .005). Follow-up ANOVA’s revealed that sufficiently active participants reported significantly higher psychological flexibility and used maladaptive responses less often compared to insufficiently active participants (p’s < .05).

Conclusions: These findings provide preliminary insight into the psychosocial profile of adults at risk for nonadherence due to their responses to arthritis pain.     

Personality Homogeneity in Organizations and Occupations: Considering Similarity Sources

Purpose

The purpose of this study was to investigate organizational and occupational homogeneity, compare homogeneity at different levels of composition, and uncover a mechanism for homogeneity.

Design/Methodology/Approach

Data were obtained from an archival data base of current employees (N = 23,933) in 40 organizations, 19 major job groupings, 42 minor job groupings, and 115 detailed job titles.

Findings

Support for homogeneity within organizations and occupations was found, regardless of the granularity with which occupation were defined. Homogeneity estimates were smaller than prior estimates in the literature based on smaller, less diverse samples. Occupational homogeneity was significantly greater than homogeneity at the organizational level for neuroticism and extraversion. As a potential mechanism, we demonstrated that occupational interest could predict personality at the occupational level.

Implications

Investigating homogeneity effects with a large, representative sample and simultaneously considering occupation and organization helps to advance our theoretical understanding of the Attraction–Selection–Attrition process. This study provides evidence of relative homogeneity effects and mechanisms. Such knowledge could help inform the selection, training, and socialization tactics employed by practitioners.

Originality/Value

Little is currently known about how within-occupation homogeneity in personality relates to within-organization homogeneity, or the influence of vocational interests on such homogeneity. We provide a methodological update to decompose and compare organizational and occupational influence on personality homogeneity. We also assess homogeneity at three levels of occupational granularity, and delineate a mechanism for personality to become homogeneous at the occupation level.

     

Negotiating multiple perspectives: a discussion of instructors’ practice within an English-language service course

At the University of the West Indies, large courses often require the involvement of multiple persons in their delivery. Within the English Language Foundation Unit, several of the courses offered cater to over 500 students in any given semester. The large number of students necessitates multiple practitioners providing instructions as part of the same course offering. While stylistics may vary, there is the need for course instruction and content to depict uniformity. Practitioners’ conceptualization of a specific topic will inform the instruction received by students. In instances where practitioners do not conceptualize content in a like manner, students within the same course may receive varied instruction, thus affecting student output and overall evaluation. The paper looks specifically at a service course offered at the University of the West Indies and the practices of the multiple persons involved in the teaching of the course. It provides an overview of practitioners’ discussion of their conceptualization of content areas within the courses and assesses the extent to which there are variations and/or similarities. It also discusses how these impact teaching and learning. The research seeks to derive an actionable direction for collaboration and further discussions within large service courses with the aim of improving teaching and learning.     

Sentiment Analysis and Social Cognition Engine (SEANCE): An automatic tool for sentiment,social cognition,and social-order analysis

This study introduces the Sentiment Analysis and Cognition Engine (SEANCE), a freely available text analysis tool that is easy to use, works on most operating systems (Windows, Mac, Linux), is housed on a user’s hard drive (as compared to being accessed via an Internet interface), allows for batch processing of text files, includes negation and part-of-speech (POS) features, and reports on thousands of lexical categories and 20 component scores related to sentiment, social cognition, and social order. In the study, we validated SEANCE by investigating whether its indices and related component scores can be used to classify positive and negative reviews in two well-known sentiment analysis test corpora. We contrasted the results of SEANCE with those from Linguistic Inquiry and Word Count (LIWC), a similar tool that is popular in sentiment analysis, but is pay-to-use and does not include negation or POS features. The results demonstrated that both the SEANCE indices and component scores outperformed LIWC on the categorization tasks.     

The interaction of distress tolerance and intolerance of uncertainty in the prediction of symptom reduction across CBT for social anxiety disorder

Distress tolerance (DT) and intolerance of uncertainty (IU) have been identified as transdiagnostic processes that predict symptom severity across a range of distinct anxiety disorders. However, the joint effect of these two variables on therapeutic outcome has not yet been examined. It is possible that DT and IU may both impact on treatment response to cognitive-behavioural therapy (CBT) in clients with anxiety, as clients with weak DT and strong IU may be less likely to engage in exposure and cognitive restructuring tasks across treatment due to their associated distress. The purpose of this study was to examine the interaction of DT and IU as predictors of post-treatment symptom severity and treatment response to group CBT in participants with primary DSM-IV-TR diagnosed social anxiety disorder (SAD). Participants (N = 95) with SAD completed 12 weeks of manualized group CBT. Results of multilevel longitudinal analysis demonstrated an interaction effect, such that lower DT and higher IU predicted higher SAD symptom severity across the course of therapy. The findings are discussed in terms of clinical implications for the disorder-specific and transdiagnostic treatment of anxiety disorders.     

The presence of magical thinking in obsessive compulsive disorder

Two research groups have raised the possibility that magical ideation may be a fundamental feature of obsessive-compulsive disorder. It has been proposed to underlie thought action fusion and superstitious beliefs. In this study, the Magical Ideation scale, the Lucky Behaviours and Lucky Beliefs scales, the Thought Action Fusion-Revised scale, the Padua Inventory, and the Obsessive Compulsive Inventory-Short Version were completed by 60 obsessive compulsive patients at a hospital clinic. Of all the measures, the Magical Ideation (MI) scale was found to be the most strongly related to obsessive compulsive symptoms. Large and significant relationships between MI scores and the measures of OCD were obtained even when alternative constructs (Lucky Behaviours, Lucky Beliefs, Thought Action Fusion-Revised scales) were held constant. No other variable remained significantly related to the Obsessive Compulsive Inventory-Short Version when magical ideation scores were held constant. The findings suggest that a general magical thinking tendency may underpin previous observed links between superstitiousness, thought action fusion and OCD severity.     

Addiction motivation reformulated: an affective processing model of negative reinforcement

This article offers a reformulation of the negative reinforcement model of drug addiction and proposes that the escape and avoidance of negative affect is the prepotent motive for addictive drug use. The authors posit that negative affect is the motivational core of the withdrawal syndrome and argue that, through repeated cycles of drug use and withdrawal, addicted organisms learn to detect interoceptive cues of negative affect preconsciously. Thus, the motivational basis of much drug use is opaque and tends not to reflect cognitive control. When either stressors or abstinence causes negative affect to grow and enter consciousness, increasing negative affect biases information processing in ways that promote renewed drug administration. After explicating their model, the authors address previous critiques of negative reinforcement models in light of their reformulation and review predictions generated by their model.     

iSTART: Interactive strategy training for active reading and thinking

Interactive Strategy Training for Active Reading and Thinking (iSTART) is a Web-based application that provides young adolescent to college-age students with high-level reading strategy training to improve comprehension of science texts. iSTART is modeled after an effective, human-delivered intervention called self-explanation reading training (SERT), which trains readers to use active reading strategies to self-explain difficult texts more effectively. To make the training more widely available, the Web-based trainer has been developed. Transforming the training from a human-delivered application to a computer-based one has resulted in a highly interactive trainer that adapts its methods to the performance of the students. The iSTART trainer introduces the strategies in a simulated classroom setting with interaction between three animated characters—an instructor character and two student characters— and the human trainee. Thereafter, the trainee identifies the strategies in the explanations of a student character who is guided by an instructor character. Finally, the trainee practices self-explanation under the guidance of an instructor character. We describe this system and discuss how appropriate feedback is generated.     

Identifying reading strategies using latent semantic analysis: Comparing semantic benchmarks

We explored methods of using latent semantic analysis (LSA) to identify reading strategies in students’ self-explanations that are collected as part of a Web-based reading trainer. In this study, college students self-explained scientific texts, one sentence at a time. LSA was used to measure the similarity between the self-explanations andsemantic benchmarks (groups of words and sentences that together represent reading strategies). Three types of semantic benchmarks were compared: content words, exemplars, and strategies. Discriminant analyses were used to classify global and specific reading strategies using the LSA cosines. All benchmarks contributed to the classification of general reading strategies, but the exemplars did the best in distinguishing subtle semantic differences between reading strategies. Pragmatic and theoretical concerns of using LSA are discussed.