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The COVID-19 pandemic represents a worldwide threat to mental health. To optimize the allocation of health care resources, research on specific vulnerability factors, such as health anxiety, intolerance of uncertainty, and distress (in)tolerance, and particularly their effect on the time course of SARS-CoV-2 related anxiety appears crucial for supporting high risk groups suffering from elevated mental distress during the pandemic. N = 887 participants (78.4% female; Mage = 38.15, SD = 17.04) completed an online survey in Germany (April to mid-May 2020), comprising measures of SARS-CoV-2 related anxiety, health anxiety, safety and preventive behavior, intolerance of uncertainty, and distress intolerance. Higher levels of health anxiety pre and during COVID-19 were associated with an initially intensified increase (b = 1.10, p < 0.001), but later on a more rapid dampening (b = −0.18, p < 0.001) of SARS-CoV-2 related anxiety. SARS-CoV-2 related preventive behavior was intensified by both pre (b = 0.06, p = 0.01) and during (b = 0.15, p < 0.001) COVID-19 health anxiety, while reassurance behavior only was associated with health anxiety during COVID-19 (b = 0.14, p < 0.001). Distress intolerance and intolerance of uncertainty did not moderate the relationship between health anxiety and SARS-CoV-2 related anxiety and behavior. The results suggest detrimental effects of health anxiety on the emotional and behavioral response to virus outbreaks.

BackgroundHealth apps for the screening and diagnosis of mental disorders have emerged in recent years on various levels (eg, patients, practitioners, and public health system). However, the diagnostic quality of these apps has not been (sufficiently) tested so far.ObjectiveThe objective of this pilot study was to investigate the diagnostic quality of a health app for a broad spectrum of mental disorders and its dependency on expert knowledge.MethodsTwo psychotherapists, two psychology students, and two laypersons each read 20 case vignettes with a broad spectrum of mental disorders. They used a health app (Ada—Your Health Guide) to get a diagnosis by entering the symptoms. Interrater reliabilities were computed between the diagnoses of the case vignettes and the results of the app for each user group.ResultsOverall, there was a moderate diagnostic agreement (kappa=0.64) between the results of the app and the case vignettes for mental disorders in adulthood and a low diagnostic agreement (kappa=0.40) for mental disorders in childhood and adolescence. When psychotherapists applied the app, there was a good diagnostic agreement (kappa=0.78) regarding mental disorders in adulthood. The diagnostic agreement was moderate (kappa=0.55/0.60) for students and laypersons. For mental disorders in childhood and adolescence, a moderate diagnostic quality was found when psychotherapists (kappa=0.53) and students (kappa=0.41) used the app, whereas the quality was low for laypersons (kappa=0.29). On average, the app required 34 questions to be answered and 7 min to complete.ConclusionsThe health app investigated here can represent an efficient diagnostic screening or help function for mental disorders in adulthood and has the potential to support especially diagnosticians in their work in various ways. The results of this pilot study provide a first indication that the diagnostic accuracy is user dependent and improvements in the app are needed especially for mental disorders in childhood and adolescence.

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Googling and using apps for health-related information are highly prevalent worldwide. So far, little is known about the emotional, body-related, and behavioral effects of using both Google and health-related apps. In our experimental study, bodily symptoms were first provoked by a standardized hyperventilation test. A total of 147 participants (96.6% students) were then randomly assigned to one of three conditions: Googling for the causes of the currently experienced bodily symptoms, using a medical app to diagnose the experienced symptoms, and a waiting control condition. Health-related Internet use for symptoms led to stronger negative affect, increased health anxiety, and increased need to consult a physician compared with the control condition. Googling and using the medical app showed comparable adverse emotional and behavioral effects. The findings are in line with current models of cyberchondria in which health-related Internet use represents an essential factor in maintaining and amplifying emotional distress.

Objective: The Emotional Cascade Model (ECM) by Selby et al. (2008) proposes that people often engage in dysregulated behaviors to end extreme, aversive emotional states triggered by a self-perpetuating vicious cycle of (excessive) rumination, negative affect, and attempts to suppress negative thoughts.Method: Besides replicating the ECM, we introduced intrusions as a mediator between rumination and behavioral dysregulation and tested this extended ECM for compulsions as part of obsessive–compulsive disorders. A structural equation modeling approach was used to test this in a sample of N = 414, randomly recruited from the general population.Results: Intrusions were found to fully mediate the effect of rumination on a broad array of dysregulated behaviors and compulsions. This mediation endured when controlling for symptoms of depression.Conclusion: These findings support the idea that rumination fuels intrusions, which in turn foster dysregulated behaviors. Therefore, addressing rumination as well as intrusions may improve psychotherapeutic interventions for mental disorders characterized by dysregulated behaviors and/or extreme aversive emotional states.

Forty-three patients with schizophrenia were investigated with a short neurocognitive screening battery focussing on working memory and executive functions. As compared to healthy controls, patients showed impairments in the modified card sorting test, in verbal fluency and all span tasks with exception of digit span forward. Patients who were treated with atypicals showed better performance in the digit ordering test (manipulation task) when compared to a group of patients who received conventional antipsychotics; this difference was not due to disease severity, age or education. Manipulation tasks might be useful for neurocognitive follow-up and intervention studies.

Abstract. Models of chronic somatic symptoms assume that abnormalities in interoception are related to the development and maintenance of symptom distress. Different models, however, disagree on the exact nature of the assumed abnormality: cognitive-behavioral models stress a hypervigilant cognitive style (predicting higher interoceptive accuracy) whereas predictive processing models assume a less detailed sensory processing (predicting lower interoceptive accuracy). This study aimed at testing the relationship between interoception and symptom perception. Using structural equation modeling, associations between cardiac interoception and symptom perception were tested in a sample of students ( n = 316) and a second heterogeneous sample ( n = 340, including 63 patients with either pathological health anxiety or a somatoform disorder according to DSM-IV). Stronger sensory symptom perceptions in the cardiorespiratory system were associated with lower interoceptive accuracy in sample 2. The findings are more in line with the predictive processing approach, suggesting less detailed and more biased interoception being associated with chronic somatic symptom distress.