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For the goal of individualized medicine, it is critical to have clinical phenotypes at hand which represent the individual pathophysiology. However, for most of the utilized phenotypes, two individuals with the same phenotype assignment may differ strongly in their underlying biological traits. In this paper, we propose a definition for individualization and a corresponding statistical operationalization, delivering thereby a statistical framework in which the usefulness of a variable in the meaningful differentiation of individuals with the same phenotype can be assessed. Based on this framework, we develop a statistical workflow to derive individualized phenotypes, demonstrating that under specific statistical constraints the prediction error of prediction scores contains information about hidden biological traits not represented in the modeled phenotype of interest, allowing thereby internal differentiation of individuals with the same assigned phenotypic manifestation. We applied our procedure to data of the population-based Study of Health in Pomerania to construct a refined definition of obesity, demonstrating the utility of the definition in prospective survival analyses. Summarizing, we propose a framework for the individualization of phenotypes aiding personalized medicine by shifting the focus in the assessment of prediction models from the model fit to the informational content of the prediction error.
Patient-reported outcomes (PROs) refer to any report coming directly from patients about how they function or feel in relation to a health condition or its therapy. PROs have been applied in medicine for the assessment of the impact of clinical phenomena. Self-report scales and procedures for assessing physical pain in adults have been developed and used in clinical trials. However, insufficient attention has been dedicated to the assessment of mental pain. The aim of this paper is to outline the implications that assessment of mental pain may entail in psychiatry and medicine, with particular reference to a clinimetric index. A simple 10-item self-rating questionnaire, the Mental Pain Questionnaire (MPQ), encompasses the specific clinical features of mental pain and shows good clinimetric properties (i.e., sensitivity, discriminant and incremental validity). The preliminary data suggest that the MPQ may qualify as a PRO measure to be included in clinical trials. Assessment of mental pain may have important clinical implications in intervention research, both in psychopharmacology and psychotherapy. The transdiagnostic features of mental pain are supported by its association with a number of psychiatric disorders, such as depression, anxiety, eating disorders, as well as borderline personality disorder. Further, addressing mental pain may be an important pathway to prevent and diminish the opioid epidemic. The data summarized here indicate that mental pain can be incorporated into current psychiatric assessment and included as a PRO measure in treatment outcome studies.
Background: Self-stigma is a result of internalizing negative stereotypes by the affected person. Research on self-stigma in substance use disorders (SUD) is still scarce, especially regarding the role of childhood trauma and subsequent posttraumatic disorders. Objectives: The present study investigated the progressive model of self-stigma in women with SUD and posttraumatic stress disorder (PTSD), and the predictive value of PTSD severity and childhood trauma experiences on self-stigma. Method: In a cross-sectional study with 343 women with SUD and PTSD, we used the Self-Stigma in Alcohol Dependency Scale, the Childhood Trauma Questionnaire (CTQ), the PTSD Symptom Scale Interview (PSS-I), and to control for SUD severity and depression, the Addiction Severity Index Lite and the Beck Depression Inventory-II. Hierarchical regression analyses were conducted for each stage of self-stigma (aware-agree-apply-harm). Results: The interrelated successive stages of self-stigma were largely confirmed. In the regression models, no significant effects of the PSS-I- and the CTQ-scores were observed at any stage of self-stigma. Agreeing with negative stereotypes was solely predicted by younger age, applying these stereotypes to oneself was higher in women with younger age, higher depression and SUD severity, and suffering from the application (harm) was only predicted by depression. Conclusions: The progressive model of self-stigma could be confirmed in women with SUD and PTSD, but PTSD severity and childhood trauma did not directly affect this process. Self-stigma appears to be related to depression in a stronger way than PTSD is related to women with SUD and PTSD.
Background: Self-stigma is a result of internalizing negative stereotypes by the affected person. Research on self-stigma in substance use disorders (SUD) is still scarce, especially regarding the role of childhood trauma and subsequent posttraumatic disorders. Objectives: The present study investigated the progressive model of self-stigma in women with SUD and posttraumatic stress disorder (PTSD), and the predictive value of PTSD severity and childhood trauma experiences on self-stigma. Method: In a cross-sectional study with 343 women with SUD and PTSD, we used the Self-Stigma in Alcohol Dependency Scale, the Childhood Trauma Questionnaire (CTQ), the PTSD Symptom Scale Interview (PSS-I), and to control for SUD severity and depression, the Addiction Severity Index Lite and the Beck Depression Inventory-II. Hierarchical regression analyses were conducted for each stage of self-stigma (aware-agree-apply-harm). Results: The interrelated successive stages of self-stigma were largely confirmed. In the regression models, no significant effects of the PSS-I- and the CTQ-scores were observed at any stage of self-stigma. Agreeing with negative stereotypes was solely predicted by younger age, applying these stereotypes to oneself was higher in women with younger age, higher depression and SUD severity, and suffering from the application (harm) was only predicted by depression. Conclusions: The progressive model of self-stigma could be confirmed in women with SUD and PTSD, but PTSD severity and childhood trauma did not directly affect this process. Self-stigma appears to be related to depression in a stronger way than PTSD is related to women with SUD and PTSD.
Stigma of Mental Illness in Germans and Turkish Immigrants in Germany: The Effect of Causal Beliefs
(2019)
Background: Stigma poses an additional burden for people suffering from mental illness, one that often impairs their social participation and can prevent them from seeking adequate help. It is therefore crucial to understand how stigma develops in order to counteract it by setting up effective evidence-based anti-stigma interventions. The present study examines the effect of causal beliefs on stigmatizing behavioral intentions, namely people's desire to distance themselves from persons with mental illness. In addition, we draw cross-cultural comparisons between native Germans and Turkish immigrants to investigate the influence of culture on stigma and causal beliefs and to broaden knowledge on the biggest immigrant group in Germany and on immigrants in Western countries in general.
Methods: n = 302 native Germans and n = 173 Turkish immigrants were presented either a depression or a schizophrenia vignette. Then, causal beliefs, emotional reaction and desire for social distance were assessed with questionnaires. Path analyses were carried out to investigate the influence of causal beliefs on the desire for social distance and their mediation by emotional reactions for Germans and Turkish immigrants, respectively.
Results: We found an influence of causal beliefs on the desire for social distance. Emotional reactions partly mediated this relationship. Causal attribution patterns as well as the relationship between causal attributions and stigma varied across both subsamples and mental illnesses. In the German subsample, the ascription of unfavorable personal traits resulted in more stigma. In the Turkish immigrant subsample, supernatural causal beliefs increased stigma while attribution to current stress reduced stigma.
Conclusion: Our study has implications for future anti-stigma interventions that intend to reduce stigmatization of mentally ill people. Targeting the ascription of unfavorable personal traits and supernatural causal attributions as well as promoting current stress as the cause for mental illness appears to be of particular importance. Also, the mediating influence of emotional responses to causal beliefs needs to be addressed. Furthermore, differential interventions across cultural groups and specific mental illnesses may be appropriate.