Issues in diagnosing anxiety disorders

Research progress in the anxiety disorders is predicated on a useful classification system. In this paper, we review the reliability and validity data for theDiagnostic and Statistical Manual of Mental Disorders, 3rd ed. (DSM-III) anxiety disorders and discuss the salient issues associated with both the conceptualization of anxiety disorders and the diagnostic criteria offered in the DSM-III. It is concluded that the diagnostic reliability for these disorders is, overall, satisfactory. A dearth of validity data, however, hinders progress in both the diagnosis and the treatment of the anxiety disorders. Nevertheless, the DSM-III work group has proposed several changes in the diagnostic criteria for the anxiety disorders. We find some of these proposed changes helpful in that they clarify current diagnostic criteria; changes in diagnostic criteria that alter the basic classification schema, however, seem to be premature.Preparation of this paper was supported in part by MIMH Research Grant 1368.On sabbatical leave from Indiana State University.     

Psychopathology in anxiety disorders

Complaints of anxiety, often meetingDiagnostic and Statistical Manual of Mental Disorders, 3rd ed. (DSM-III), criteria for anxiety disorder, are among the most common problems presenting to health practitioners. In spite of the frequency of anxiety and anxiety disorders, little is known about the basic psychopathology of these conditions that would lead to the development of more efficient and effective treatments and possible preventive efforts. Recently, there has been an increase in research on the psychopathology of anxiety disorders from biological, psychological, and social perspectives. The National Institute of Mental Health's Clinical Research Branch sponsored a 2-day workshop of investigators representing diverse research approaches to discuss emerging issues and research practices within the anxiety disorders. Discussions centered on a review of the general areas of classification, phenomenology, and etiology. A selective summary of this workshop is presented along with recommendations for specific research directions.     

The importance of assessing treatment integrity: An example in the anxiety disorders

One purpose of this investigation was to examine the importance of assessing treatment integrity in a study evaluating a treatment for specific anxiety disorders. Three subjects, two social phobics and one simple phobic, received self-instruction training (Phase I) followed by exposure and self-instruction training (Phase II) in a multiple baseline across subjects design. All subjects were assessed during a pretreatment baseline and throughout treatment using measures of treatment integrity and measures of change in phobic severity. Improvement took place at different times for different subjects. Measures of treatment integrity, which consisted of monitoring of self-statements as well as practice outside the session, indicated that treatment was not always received as intended and that improvement was correlated with practice. The usefulness of measures of treatment integrity in both clinical and research settings is highlighted.     

So you think you are an ally? Effects of (in)congruence between men's self-perceptions and women's perceptions of men's values and allyship on women's inclusion and vitality

As public consciousness of sexism is increasing in the workplace (e.g., #MeToo movement), labelling oneself as an ally (e.g., UN HeforShe campaign) is becoming more socially desirable for men. However, do women agree with such men in their assessments of being allies? Importantly, how does women's agreement (or not) with men's self-assessments of allyship affect women's inclusion-relevant outcomes? Using a multi-informant design and data from 101 men–women colleague pairs, this study considered men's self-perceptions and women's other-reports of men's key allyship-relevant characteristics—justice, moral courage, civility and allyship. Polynomial regression and response surface analyses revealed differential impacts of (in)congruence between men's and women's perceptions on women's sense of inclusion and vitality. Simply, when women perceived men as higher (or the same) in justice, moral courage and civility than men reported themselves, it positively predicted women's outcomes. This suggests that humble self-presentation by men on characteristics that are parallel to allyship (but not allyship) may be ideal. Yet, both under- and overestimation by men on allyship itself predicted poorer outcomes for women, suggesting that the ideal is for men to have an accurate assessment of their own strengths and weaknesses as an ally.     

Context-dependent shifts in self-regulatory personality processes during COVID-19: Changes in control predict dynamic shifts in goal reengagement capacity

The ability to reengage with new attainable goals after major setbacks is a core self-regulatory trait linked to health and well-being. Yet little is known about the extent to which such goal reengagement capacities may shift over time in response to changing contextual circumstances. Using a nationally-representative sample of U.S. adults aged 18–80 (n = 293), the present 1-year study examined whether changes in opportunity to influence life circumstances (perceived control) were coupled with dynamic shifts in goal reengagement capacity for individuals who differed in their levels of control at pandemic onset. Results from multilevel models showed that within-person increases in perceived control during the pandemic predicted corresponding within-person increases in goal reengagement capacity. Moderation models showed that the positive within-person association between perceived control and goal reengagement was pronounced for individuals with lower levels of control at pandemic onset who may be particularly sensitive to periods of opportunity to pursue new attainable goals. Findings inform theories of personality and self-regulation in pointing to contextual circumstances under which goal reengagement capacity exhibits dynamic shifts in populations who differ in their perceived opportunities for control.     

Preference for familiar humans by rats

Many “higher” animals are commonly assumed to distinguish between individual humans. This belief is based largely on anecdotal reports; in reality, there is little empirical evidence to support human recognition in nonhuman species. We report that laboratory rats consistently chose a familiar human over an unfamiliar human following fourteen and five 10-min exposures and even following a single 10-min exposure. Furthermore, this preference was retained in the absence of additional contact for at least 5 months. These results confirm that laboratory rats can tell individual humans apart, a prerequisite for associating them with hedonic events. Such human-based conditioning, described by Pavlov and by Gantt, Newton, Royer, and Stephens (1966), may have important implications for animal research in a variety of settings.     

“Make things as simple as possible, but no simpler.” A rejoinder to Scruggs and Mastropieri

Scruggs and Mastropieri (Behaviour Research and Therapy, 32, 879–883, 1994) take issue with criticisms of their PND (Percent of Nonoverlapping Data) statistic that we offered in our recent article (Allison & German, Behaviour Research and Therapy, 31, 621–631, 1993), which advocated a regressionbased method for obtaining effect sizes in single-subject studies. They contend that their PND approach has several advantages over our approach because: (1) they believe that, unlike ours, it can take advantage of the small number of observations that are typically available in single-case studies; (2) it is simple to compute; (3) it frees researchers from traditional regression assumptions of normality, homogeneity of variance, and independence of observations and residuals; and (4) it correlates with visual judgements made by experts. As we shall argue, these claims are built upon very questionable assumptions and they are very difficult to substantiate. In addition, we show that the expected value of the PND is so strongly related to sample size as to be rendered meaningless.