Risk perception, treatment adherence, and personality during COVID-19 pandemic: An international study on cancer patients

Objective

To explore the role of personality traits in moderating the relation between COVID‐19 risk perception and treatment adherence, and between risk perception and psychosocial distress in patients diagnosed with cancer.

Methods

An online survey (n = 1281) was conducted worldwide in seven countries (Austria, Germany, Hong Kong, Italy, Spain, Sweden, and Turkey). Inclusion criteria were to be 18 years of age or older, have received a cancer diagnosis, and be in treatment or follow‐up. A few moderated regression models were performed with both personality traits and Hierarchical Taxonomy of Psychopathology super‐spectra as moderators.

Results

Detachment, negative affectivity, psychoticism and all the super‐spectra significantly moderated the relation between coronavirus risk perception and psychosocial distress, after the adjusting effect of confidence in safeguards. Only negative affectivity moderated the association between coronavirus risk perception and treatment adherence.

Conclusions

Personality traits may foster the understanding of how a patient might adjust to cancer treatment and, more generically, to highly stressful events such as the COVID‐19 pandemic. Further research is needed to confirm the results in different cancer stages and types.

Mapping features of pathological exercise using hierarchical-dimensional modeling

OBJECTIVE

Pathological exercise is common among those with eating disorders and has typically been characterized as excessive, compulsive, or compensatory in nature. Little is known about how pathological exercise is associated with other eating disorder behaviors or personality traits, or whether these associations differ between men and women.

METHOD

We used hierarchical dimensional modeling in three samples, including college women (N = 205), women with eating psychopathology (N = 268), and college men (N = 235), to examine latent associations between pathological exercise and eating disorder psychopathology, namely compulsivity, emotion regulation, and body dissatisfaction.

RESULTS

Using Goldberg's (2006) "bass-ackwards" method, we identified separate 10-factor solutions (women) or an 11-factor solution (men). A distinct muscle building factor arose in the three-factor solution for men, and it also notably arose in the six- and eight-factor solutions for community and college women, respectively, highlighting an important understudied motivation factor in both healthy and pathological exercise. Each solution accounted for 64.8% (college women), 51.9% (women with eating psychopathology), and 43.9% (college men) of the variance in excessive exercise, respectively.

DISCUSSION

Findings indicate that pathological exercise is associated with different psychological traits (e.g., poor emotion regulation, compulsivity) across populations, and such differences may necessitate unique treatment approaches tailored accordingly.

Evaluating dimensional models of psychopathology in outpatients diagnosed with emotional disorders: A cautionary tale

BACKGROUND

Mental disorders cluster together systematically. Through factor analysis of disorder comorbidity, investigators are establishing the latent dimensions that underlie the development of related syndromes. However, these dimensions have not been validated across diverse patient samples, in which comorbidity patterns vary widely.

METHOD

We assessed 4,928 outpatients seeking treatment for emotional disorders with a semistructured diagnostic interview. This was the largest patient sample as yet for an evaluation of the latent structure of mental disorders. We compared several competing dimensional models of common mental disorders via confirmatory factor analysis.

RESULTS

The hypothesized confirmatory factor model-anchored by internalizing and externalizing spectra-fit the diagnostic data poorly. Neither a one-factor model, reflecting a unitary liability to all mental disorders, nor a three-factor model, wherein the internalizing dimension bifurcated into distress and fear subfactors, fit appreciably better.

CONCLUSIONS

These data provide novel evidence that the internalizing and externalizing spectra are not structurally sound in all clinical contexts. We speculate about the causes of model misfit and advise additional research into the generalizability-with respect to sample, input data, developmental stage, and more-of dimensional models of mental disorder.

Measuring the hierarchical general factor model of psychopathology in young adults

There is evidence that models of psychopathology specifying a general factor and specific second-order factors fit better than competing structural models. Nonetheless, additional tests are needed to examine the generality and boundaries of the general factor model. In a selected second wave of a cohort study, first-order dimensions of psychopathology symptoms in 499 23- to 31-year-old twins were analyzed. Using confirmatory factor analysis, a bifactor model specifying a general factor and specific internalizing and externalizing factors fit better than competing models. Factor loadings in this model were sex invariant despite greater variances in the specific internalizing factor among females and greater variances in the general and specific externalizing factors among males. The bifactor structure was robust to the exclusion of any single first-order dimension of psychopathology. Furthermore, the results were essentially unchanged when all overlapping symptoms that define multiple disorders were excluded from symptom dimensions. Furthermore, the best-fitting bifactor model also emerged in exploratory structural equation modeling with freely estimated cross-loadings. The general factor of psychopathology was robust across variations in measurement and analysis.

Delineating the joint hierarchical structure of clinical and personality disorders in an outpatient psychiatric sample

BACKGROUND

A large body of research has focused on identifying the optimal number of dimensions - or spectra - to model individual differences in psychopathology. Recently, it has become increasingly clear that ostensibly competing models with varying numbers of spectra can be synthesized in empirically derived hierarchical structures.

METHODS AND MATERIALS

We examined the convergence between top-down (bass-ackwards or sequential principal components analysis) and bottom-up (hierarchical agglomerative cluster analysis) statistical methods for elucidating hierarchies to explicate the joint hierarchical structure of clinical and personality disorders. Analyses examined 24 clinical and personality disorders based on semi-structured clinical interviews in an outpatient psychiatric sample (n=2900).

RESULTS

The two methods of hierarchical analysis converged on a three-tier joint hierarchy of psychopathology. At the lowest tier, there were seven spectra - disinhibition, antagonism, core thought disorder, detachment, core internalizing, somatoform, and compulsivity - that emerged in both methods. These spectra were nested under the same three higher-order superspectra in both methods: externalizing, broad thought dysfunction, and broad internalizing. In turn, these three superspectra were nested under a single general psychopathology spectrum, which represented the top tier of the hierarchical structure.

CONCLUSIONS

The hierarchical structure mirrors and extends upon past research, with the inclusion of a novel compulsivity spectrum, and the finding that psychopathology is organized in three superordinate domains. This hierarchy can thus be used as a flexible and integrative framework to facilitate psychopathology research with varying levels of specificity (i.e., focusing on the optimal level of detailed information, rather than the optimal number of factors).

A Place for Sexual Dysfunctions in an Empirical Taxonomy of Psychopathology

Sexual dysfunctions commonly co-occur with various depressive and anxiety disorders. An emerging framework for understanding the classification of mental disorders suggests that such comorbidity is a manifestation of underlying dimensions of psychopathology (or "spectra"). In this review, we synthesize the evidence that sexual dysfunctions should be included in the empirical taxonomy of psychopathology as part of the internalizing spectrum, which accounts for comorbidity among the depressive and anxiety disorders. The review has four parts. Part 1 summarizes the empirical basis and utility of the empirical taxonomy of psychopathology. Part 2 reviews the prima facie evidence for the hypothesis that sexual dysfunctions are part of the internalizing spectrum (i.e., high rates of comorbidity; shared cognitive, affective, and temperament characteristics; common neural substrates and biomarkers; shared course and treatment response; and the lack of causal relationships between them). Part 3 critically analyzes and integrates the results of the eight studies that have addressed this hypothesis. Finally, Part 4 examines the implications of reconceptualizing sexual dysfunctions as part of the internalizing spectrum, and explores avenues for future research.