@article{RothRawaldWeck2021, author = {Roth-Rawald, Julia and Weck, Florian}, title = {Krankheits{\"a}ngste bei Psychotherapeut_innen}, series = {Zeitschrift f{\"u}r klinische Psychologie und Psychotherapie}, volume = {50}, journal = {Zeitschrift f{\"u}r klinische Psychologie und Psychotherapie}, number = {2}, publisher = {Hogrefe}, address = {G{\"o}ttingen}, issn = {1616-3443}, doi = {10.1026/1616-3443/a000624}, pages = {57 -- 67}, year = {2021}, abstract = {Hintergrund: Krankheits{\"a}ngste beziehen sich meist auf die Angst vor dem Leiden an somatischen Erkrankungen. In Einzelfallberichten wurden auch {\"A}ngste vor psychischen St{\"o}rungen berichtet, jedoch bisher nicht systematisch untersucht. Psychotherapeut_innen sind st{\"a}ndig mit psychischen Erkrankungen konfrontiert. Fragestellung: Diese Studie untersucht, wie stark Krankheits{\"a}ngste bei Psychotherapeut_innen ausgepr{\"a}gt sind und welche Faktoren diese beeinflussen. Methoden: Insgesamt 239 Psychotherapeut_innen wurden per anonymer Onlinebefragung mit den Illness Attitude Scales und der Mini-Symptom-Checklist untersucht. Ergebnisse: Krankheits{\"a}ngste bei Psychotherapeut_innen waren geringer ausgepr{\"a}gt als in der Allgemeinbev{\"o}lkerung und bei Psychologiestudierenden. Faktoren wie die allgemeine psychische Belastung und das Vorhandensein tats{\"a}chlicher Diagnosen gingen mit erh{\"o}hten Krankheits{\"a}ngsten einher. Schlussfolgerungen: Krankheits{\"a}ngste k{\"o}nnen sich nicht nur auf somatische Erkrankungen beziehen, sondern auch psychische St{\"o}rungen betreffen. Eine st{\"a}rkere Ber{\"u}cksichtigung psychischer Krankheits{\"a}ngste und deren weitere systematische Erfassung erscheinen daher w{\"u}nschenswert.}, language = {de} } @article{RothRawaldKuehneLazaridesetal.2020, author = {Roth-Rawald, Julia and K{\"u}hne, Franziska and Lazarides, Rebecca and Weck, Florian}, title = {Krankheits{\"a}ngste bei Psychologiestudierenden}, series = {Zeitschrift f{\"u}r Klinische Psychologie und Psychotherapie}, volume = {49}, journal = {Zeitschrift f{\"u}r Klinische Psychologie und Psychotherapie}, number = {2}, publisher = {Hogrefe}, address = {G{\"o}ttingen}, issn = {1616-3443}, doi = {10.1026/1616-3443/a000578}, pages = {103 -- 112}, year = {2020}, abstract = {Theoretischer Hintergrund: Als Medical Students' Disease wird die Angst von Medizinstudierenden bezeichnet, unter Krankheiten zu leiden, mit denen sie sich im Studium auseinandersetzen. Fragestellung: Es wurde untersucht, ob {\"a}hnliche Ph{\"a}nomene vor{\"u}bergehender Krankheits{\"a}ngste auch bei Psychologiestudierenden existieren. Methode: Mittels etablierter Illness-Attitude-Scales (IAS) und einer eigens entwickelten Erg{\"a}nzung wurden {\"A}ngste vor somatischen und psychischen Erkrankungen erhoben. Ergebnisse: Krankheits{\"a}ngste bei Psychologiestudierenden waren nicht st{\"a}rker ausgepr{\"a}gt als bei Studierenden anderer Fachrichtungen. {\"A}ngste vor k{\"o}rperlichen Erkrankungen waren h{\"a}ufiger als {\"A}ngste vor psychischen St{\"o}rungen, die keiner signifikanten zeitlichen Ver{\"a}nderung unterlagen. Schlussfolgerung: Die Besch{\"a}ftigung mit psychischen St{\"o}rungen geht nicht zwangsl{\"a}ufig mit einem Anstieg von {\"A}ngsten vor psychischen Erkrankungen unter Psychologiestudierenden einher. Erh{\"o}hte Belastungswerte bei allen Studierenden legen nahe, dass das Studium selbst eine Herausforderung darstellt, f{\"u}r deren Bew{\"a}ltigung Unterst{\"u}tzung angeboten werden kann. the same level of fear regarding health anxiety as students of other disciplines. Their anxiety about suffering from physical illnesses was also greater than their anxiety about suffering from mental disorders. Conclusion: Studying mental disorders does not necessarily result in an increase of related health anxiety. However, university studies seem to be a burdensome period of life in their own right, for which coping support can be provided.}, language = {de} } @misc{PhilippKristonLanioetal.2019, author = {Philipp, Rebecca and Kriston, Levente and Lanio, Jana and K{\"u}hne, Franziska and H{\"a}rter, Martin and Moritz, Steffen and Meister, Ramona}, title = {Effectiveness of metacognitive interventions for mental disorders in adults-A systematic review and meta-analysis (METACOG)}, series = {Clinical psychology \& psychotherapy}, volume = {26}, journal = {Clinical psychology \& psychotherapy}, number = {2}, publisher = {Wiley}, address = {Hoboken}, issn = {1063-3995}, doi = {10.1002/cpp.2345}, pages = {227 -- 240}, year = {2019}, abstract = {We evaluated the effectiveness and acceptability of metacognitive interventions for mental disorders. We searched electronic databases and included randomized and nonrandomized controlled trials comparing metacognitive interventions with other treatments in adults with mental disorders. Primary effectiveness and acceptability outcomes were symptom severity and dropout, respectively. We performed random-effects meta-analyses. We identified Metacognitive Training (MCTrain), Metacognitive Therapy (MCTherap), and Metacognition Reflection and Insight Therapy (MERIT). We included 49 trials with 2,609 patients. In patients with schizophrenia, MCTrain was more effective than a psychological treatment (cognitive remediation, SMD = -0.39). It bordered significance when compared with standard or other psychological treatments. In a post hoc analysis, across all studies, the pooled effect was significant (SMD = -0.31). MCTrain was more effective than standard treatment in patients with obsessive-compulsive disorder (SMD = -0.40). MCTherap was more effective than a waitlist in patients with depression (SMD = -2.80), posttraumatic stress disorder (SMD = -2.36), and psychological treatments (cognitive-behavioural) in patients with anxiety (SMD = -0.46). In patients with depression, MCTherap was not superior to psychological treatment (cognitive-behavioural). For MERIT, the database was too small to allow solid conclusions. Acceptability of metacognitive interventions among patients was high on average. Methodological quality was mostly unclear or moderate. Metacognitive interventions are likely to be effective in alleviating symptom severity in mental disorders. Although their add-on value against existing psychological interventions awaits to be established, potential advantages are their low threshold and economy.}, language = {en} } @article{MuschallaHenningHaakeetal.2018, author = {Muschalla, Beate and Henning, Anne and Haake, Tim Woody and Cornetz, Kathrin and Olbrich, Dieter}, title = {Mental health problem or workplace problem or something else}, series = {Disability and rehabilitation : an international, multidisciplinary journal}, volume = {42}, journal = {Disability and rehabilitation : an international, multidisciplinary journal}, number = {4}, publisher = {Routledge, Taylor \& Francis Group}, address = {Abingdon}, issn = {0963-8288}, doi = {10.1080/09638288.2018.1501099}, pages = {502 -- 509}, year = {2018}, abstract = {Purpose: Work perception is an important predictor for work ability and, therefore, of interest for rehabilitation. Until now it is unclear to which extent different psychological aspects explain work perception. This study investigates in which way workplace problems on the one hand, and mental health and coping on the other hand, contribute to work perception. Methods: A heterogeneous sample of 384 persons in working age with and without mental health problems was recruited. Participants gave self-reports on workplace problems, mental health problems, work-coping, work-anxiety, and work perception. Results: Persons with mental health problems and workplace problems (M + W) perceive the highest degree of work demands, followed by persons with workplace problems but without mental health problems (NM + W). Work-anxiety appeared as the strongest factor explaining perception of high work demands, whereas general mental health problems did not contribute significantly to variance explanation. Conclusions: Persons with specific mental health problems in terms of work-anxiety may be expected to perceive higher work demands. They may be detected when asking for work perception, e.g., within the frame of return-to-work interventions in rehabilitation, or in occupational health settings by mental hazard analysis.}, language = {en} } @misc{GarbusowEbrahimiRiemerschmidetal.2022, author = {Garbusow, Maria and Ebrahimi, Claudia and Riemerschmid, Carlotta and Daldrup, Luisa and Rothkirch, Marcus and Chen, Ke and Chen, Hao and Belanger, Matthew J. and Hentschel, Angela and Smolka, Michael and Heinz, Andreas and Pilhatsch, Maximilan and Rapp, Michael A.}, title = {Pavlovian-to-instrumental transfer across mental disorders}, series = {Neuropsychobiology : international journal of experimental and clinical research in biological psychiatry, pharmacopsychiatry, Biological Psychology/Pharmacopsychology and Pharmacoelectroencephalography}, volume = {81}, journal = {Neuropsychobiology : international journal of experimental and clinical research in biological psychiatry, pharmacopsychiatry, Biological Psychology/Pharmacopsychology and Pharmacoelectroencephalography}, number = {5}, publisher = {Karger}, address = {Basel}, issn = {0302-282X}, doi = {10.1159/000525579}, pages = {418 -- 437}, year = {2022}, abstract = {A mechanism known as Pavlovian-to-instrumental transfer (PIT) describes a phenomenon by which the values of environmental cues acquired through Pavlovian conditioning can motivate instrumental behavior. PIT may be one basic mechanism of action control that can characterize mental disorders on a dimensional level beyond current classification systems. Therefore, we review human PIT studies investigating subclinical and clinical mental syndromes. The literature prevails an inhomogeneous picture concerning PIT. While enhanced PIT effects seem to be present in non-substance-related disorders, overweight people, and most studies with AUD patients, no altered PIT effects were reported in tobacco use disorder and obesity. Regarding AUD and relapsing alcohol-dependent patients, there is mixed evidence of enhanced or no PIT effects. Additionally, there is evidence for aberrant corticostriatal activation and genetic risk, e.g., in association with high-risk alcohol consumption and relapse after alcohol detoxification. In patients with anorexia nervosa, stronger PIT effects elicited by low caloric stimuli were associated with increased disease severity. In patients with depression, enhanced aversive PIT effects and a loss of action-specificity associated with poorer treatment outcomes were reported. Schizophrenic patients showed disrupted specific but intact general PIT effects. Patients with chronic back pain showed reduced PIT effects. We provide possible reasons to understand heterogeneity in PIT effects within and across mental disorders. Further, we strengthen the importance of reliable experimental tasks and provide test-retest data of a PIT task showing moderate to good reliability. Finally, we point toward stress as a possible underlying factor that may explain stronger PIT effects in mental disorders, as there is some evidence that stress per se interacts with the impact of environmental cues on behavior by selectively increasing cue-triggered wanting. To conclude, we discuss the results of the literature review in the light of Research Domain Criteria, suggesting future studies that comprehensively assess PIT across psychopathological dimensions.}, language = {en} } @article{AyBrysonWeckKuehne2022, author = {Ay-Bryson, Destina Sevde and Weck, Florian and K{\"u}hne, Franziska}, title = {Can simulated patient encounters appear authentic?}, series = {Training and education in professional psychology}, volume = {16}, journal = {Training and education in professional psychology}, number = {1}, publisher = {American Psychological Association}, address = {Washington}, issn = {1931-3918}, doi = {10.1037/tep0000349}, pages = {20 -- 27}, year = {2022}, abstract = {Public Significance Statement This study demonstrates that simulated patients (SPs) can authentically portray a depressive case. The results provide preliminary evidence of psychometrically sound properties of the rating scale that contributes to distinguishing between authentic and unauthentic SPs and may thus foster SPs' dissemination into evidence-based training.
For training purposes, simulated patients (SPs), that is, healthy people portraying a disorder, are disseminating more into clinical psychology and psychotherapy. In the current study, we developed an observer-based rating instrument for the evaluation of SP authenticity-namely, it not being possible to distinguish them from real patients-so as to foster their use in evidence-based training. We applied a multistep inductive approach to develop the Authenticity of Patient Demonstrations (APD) scale. Ninety-seven independent psychotherapy trainees, 77.32\% female, mean age of 31.49 (SD = 5.17) years, evaluated the authenticity of 2 independent SPs, each of whom portrayed a depressive patient. The APD demonstrated good internal consistency (Cronbach's alpha = .83) and a strong correlation (r = .82) with an established tool for assessing SP performance in medical contexts. The APD scale distinguished significantly between an authentic and unauthentic SP (d = 2.35). Preliminary evidence for the psychometric properties of the APD indicates that the APD could be a viable tool for recruiting, training, and evaluating the authenticity of SPs. Strengths, limitations, and future directions are also discussed in detail.}, language = {en} } @article{AdnanSrsicVenticichetal.2020, author = {Adnan, Hassan Sami and Srsic, Amanda and Venticich, Pete Milos and Townend, David M.R.}, title = {Using AI for mental health analysis and prediction in school surveys}, series = {European journal of public health}, volume = {30}, journal = {European journal of public health}, publisher = {Oxford Univ. Press}, address = {Oxford [u.a.]}, issn = {1101-1262}, doi = {10.1093/eurpub/ckaa165.336}, pages = {V125 -- V125}, year = {2020}, abstract = {Background: Childhood and adolescence are critical stages of life for mental health and well-being. Schools are a key setting for mental health promotion and illness prevention. One in five children and adolescents have a mental disorder, about half of mental disorders beginning before the age of 14. Beneficial and explainable artificial intelligence can replace current paper- based and online approaches to school mental health surveys. This can enhance data acquisition, interoperability, data driven analysis, trust and compliance. This paper presents a model for using chatbots for non-obtrusive data collection and supervised machine learning models for data analysis; and discusses ethical considerations pertaining to the use of these models. Methods: For data acquisition, the proposed model uses chatbots which interact with students. The conversation log acts as the source of raw data for the machine learning. Pre-processing of the data is automated by filtering for keywords and phrases. Existing survey results, obtained through current paper-based data collection methods, are evaluated by domain experts (health professionals). These can be used to create a test dataset to validate the machine learning models. Supervised learning can then be deployed to classify specific behaviour and mental health patterns. Results: We present a model that can be used to improve upon current paper-based data collection and manual data analysis methods. An open-source GitHub repository contains necessary tools and components of this model. Privacy is respected through rigorous observance of confidentiality and data protection requirements. Critical reflection on these ethics and law aspects is included in the project. Conclusions: This model strengthens mental health surveillance in schools. The same tools and components could be applied to other public health data. Future extensions of this model could also incorporate unsupervised learning to find clusters and patterns of unknown effects.}, language = {en} }