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Internet interventions have gained popularity and the idea is to use them to increase the availability of psychological treatment. Research suggests that internet interventions are effective for a number of psychological disorders with effect sizes comparable to those found in face-to-face treatment. However, when provided as an add-on to treatment as usual, internet interventions do not seem to provide additional benefit. Furthermore, adherence and dropout rates vary greatly between studies, limiting the generalizability of the findings. This underlines the need to further investigate differences between internet interventions, participating patients, and their usage of interventions. A stronger focus on the processes of change seems necessary to better understand the varying findings regarding outcome, adherence and dropout in internet interventions. Thus, the aim of this dissertation was to investigate change processes in internet interventions and the factors that impact treatment response. This could help to identify important variables that should be considered in research on internet interventions as well as in clinical settings that make use of internet interventions.
Study I (Chapter 5) investigated early change patterns in participants of an internet intervention targeting depression. Data from 409 participants were analyzed using Growth Mixture Modeling. Specifically a piecewise model was applied to model change from screening to registration (pretreatment) and early change (registration to week four of treatment). Three early change patterns were identified; two were characterized by improvement and one by deterioration. The patterns were predictive of treatment outcome. The results therefore indicated that early change should be closely monitored in internet interventions, as early change may be an important indicator of treatment outcome.
Study II (Chapter 6) picked up on the idea of analyzing change patterns in internet interventions and extended it by using the Muthen-Roy model to identify change-dropout patterns. A sligthly bigger sample of the dataset from Study I was analyzed (N = 483). Four change-dropout patterns emerged; high risk of dropout was associated with rapid improvement and deterioration. These findings indicate that clinicians should consider how dropout may depend on patient characteristics as well as symptom change, as dropout is associated with both deterioration and a good enough dosage of treatment.
Study III (Chapter 7) compared adherence and outcome in different participant groups and investigated the impact of adherence to treatment components on treatment outcome in an internet intervention targeting anxiety symptoms. 50 outpatient participants waiting for face- to-face treatment and 37 self-referred participants were compared regarding adherence to treatment components and outcome. In addition, outpatient participants were compared to a matched sample of outpatients, who had no access to the internet intervention during the waiting period. Adherence to treatment components was investigated as a predictor of treatment outcome. Results suggested that especially adherence may vary depending on participant group. Also using specific measures of adherence such as adherence to treatment components may be crucial to detect change mechanisms in internet interventions. Fostering adherence to treatment components in participants may increase the effectiveness of internet interventions.
Results of the three studies are discussed and general conclusions are drawn.
Implications for future research as well as their utility for clinical practice and decision- making are presented.
Stress gilt als zentrales Gesundheitsrisiko des 21. Jahrhunderts und wird in der Forschung als multidimensionales Konstrukt auf psychologischer und biologischer Ebene untersucht. Wäh-rend die subjektive Wahrnehmung von Stress nicht mit der biologischen Stressreaktivität zu-sammenhängen muss, ist der negative Einfluss stressassoziierter biologischer Prozesse auf Wohlbefinden und Gesundheit gut belegt. Bereits im Grundschulalter zeigen Kinder eine mit Erwachsenen vergleichbare Stressbelastung und gesundheitliche Folgen, Bewältigungsstrategien sind in diesem Alter allerdings noch nicht vollständig entwickelt. Präventionsprogramme im Grundschulalter sollen Kinder in ihren sich entwickelnden Stressbewältigungsfähigkeiten fördern, wobei sowohl emotionsfokussierte und problemorientierte Ansätze als auch soziale Unterstützung wichtige Faktoren darstellen könnten.
Das einleitende Literatur-Review evaluiert bisherige Stresspräventionsstudien und verdeutlicht, dass zwar die Wirksamkeit und Anwendbarkeit von mehrfaktoriellen Stresspräventionsprogrammen im Rahmen psychometrischer Erhebungen gezeigt werden konnten, biologische Prozesse in der Forschung bisher allerdings nicht erhoben und außer Acht gelassen wurden.
Die empirische Untersuchung in Studie 1 zeigt, dass eine multidimensionale psychobiologische Betrachtungsweise sinnvoll ist, indem sowohl die Psychometrie, als auch psychobiologische Prozesse der Stressreaktion miteinbezogen und die Auswirkungen von Stressprävention auf den verschiedenen Ebenen untersucht wurden. Zwei Kurzinterventionen wurden dazu miteinander verglichen und ihre Wirkung auf psychophysiologischen Ebenen (z.B. Kortisol, α-Amylase und Herzrate) in einem Prä-Post Design geprüft. Eine statistisch signifikante Abnahme psychophysiologischer Stressreaktivität, sowie stressassoziierter psychologischer Symptome verdeutlichte die multidimensionale Wirksamkeit von Stressmanagementtrainings.
Studie 2 wurde im Rahmen der Covid-19-Pandemie entworfen. Die in Studie 1 trainierten Kinder wurden mittels Online-Fragebogenerhebung mit einer Kontrollgruppe hinsichtlich ihrer Stressbelastung verglichen. Die Ergebnisse zeigten eine geringere Belastung und vermehrte günstige Bewältigungsstrategien trainierter Kinder im Vergleich zur Kontrollgruppe.
Diese Ergebnisse heben die Relevanz einer multidimensionalen Betrachtung kindlichen Stresses hervor. Es wurde gezeigt, dass Stresspräventionsprogramme auf den unterschiedlichen Ebenen der Stressreaktion wirken und sogar in gesamtgesellschaftlichen Krisensituationen stresspro-tektiv wirken können. Zukünftige Studien sollten Stresspräventionen im Grundschulalter psychophysiologisch evaluieren und deren Wirkung in Längsschnittstudien beurteilen, um das Verständnis der zugrundeliegenden Mechanismen zu verbessern.
Evidence points to autonomy as having a place next to affiliation, achievement, and power as one of the basic implicit motives; however, there is still some research that needs to be conducted to support this notion.
The research in this dissertation aimed to address this issue. I have specifically focused on two issues that help solidify the foundation of work that has already been conducted on the implicit autonomy motive, and will also be a foundation for future studies. The first issue is measurement. Implicit motives should be measured using causally valid instruments (McClelland, 1980). The second issue addresses the function of motives. Implicit motives orient, select, and energize behavior (McClelland, 1980). If autonomy is an implicit motive, then we need a valid instrument to measure it and we also need to show that it orients, selects, and energizes behavior.
In the following dissertation, I address these two issues in a series of ten studies. Firstly, I present studies that examine the causal validity of the Operant Motive Test (OMT; Kuhl, 2013) for the implicit affiliation and power motives using established methods. Secondly, I developed and empirically tested pictures to specifically assess the implicit autonomy motive and examined their causal validity. Thereafter, I present two studies that investigated the orienting and energizing effects of the implicit autonomy motive. The results of the studies solidified the foundation of the OMT and how it measures nAutonomy. Furthermore, this dissertation demonstrates that nAutonomy fulfills the criteria for two of the main functions of implicit motives. Taken together, the findings of this dissertation provide further support for autonomy as an implicit motive and a foundation for intriguing future studies.
When do anorexic patients perceive their body as too fat? Aggravating and ameliorating factors
(2019)
Objective
Our study investigated body image representations in female patients with anorexia nervosa
and healthy controls using a size estimation with pictures of their own body. We also
explored a method to reduce body image distortions through right hemispheric activation.
Method
Pictures of participants’ own bodies were shown on the left or right visual fields for 130 ms
after presentation of neutral, positive, or negative word primes, which could be self-relevant
or not, with the task of classifying the picture as “thinner than”, “equal to”, or “fatter than”
one’s own body. Subsequently, activation of the left- or right hemispheric through right- or
left-hand muscle contractions for 3 min., respectively. Finally, participants completed the
size estimation task again.
Results
The distorted “fatter than” body image was found only in patients and only when a picture of
their own body appeared on the right visual field (left hemisphere) and was preceded by
negative self-relevant words. This distorted perception of the patients’ body image was
reduced after left-hand muscle contractions (right hemispheric activation).
Discussion
To reduce body image distortions it is advisable to find methods that help anorexia nervosa
patients to increase their self-esteem. The body image distortions were ameliorated after
right hemispheric activation. A related method to prevent distorted body-image representations
in these patients may be Eye Movement Desensitization and Reprocessing (EMDR)
therapy.
There is no longer any doubt about the general effectiveness of psychotherapy. However, up to 40% of patients do not respond to treatment. Despite efforts to develop new treatments, overall effectiveness has not improved. Consequently, practice-oriented research has emerged to make research results more relevant to practitioners. Within this context, patient-focused research (PFR) focuses on the question of whether a particular treatment works for a specific patient. Finally, PFR gave rise to the precision mental health research movement that is trying to tailor treatments to individual patients by making data-driven and algorithm-based predictions. These predictions are intended to support therapists in their clinical decisions, such as the selection of treatment strategies and adaptation of treatment. The present work summarizes three studies that aim to generate different prediction models for treatment personalization that can be applied to practice. The goal of Study I was to develop a model for dropout prediction using data assessed prior to the first session (N = 2543). The usefulness of various machine learning (ML) algorithms and ensembles was assessed. The best model was an ensemble utilizing random forest and nearest neighbor modeling. It significantly outperformed generalized linear modeling, correctly identifying 63.4% of all cases and uncovering seven key predictors. The findings illustrated the potential of ML to enhance dropout predictions, but also highlighted that not all ML algorithms are equally suitable for this purpose. Study II utilized Study I’s findings to enhance the prediction of dropout rates. Data from the initial two sessions and observer ratings of therapist interventions and skills were employed to develop a model using an elastic net (EN) algorithm. The findings demonstrated that the model was significantly more effective at predicting dropout when using observer ratings with a Cohen’s d of up to .65 and more effective than the model in Study I, despite the smaller sample (N = 259). These results indicated that generating models could be improved by employing various data sources, which provide better foundations for model development. Finally, Study III generated a model to predict therapy outcome after a sudden gain (SG) in order to identify crucial predictors of the upward spiral. EN was used to generate the model using data from 794 cases that experienced a SG. A control group of the same size was also used to quantify and relativize the identified predictors by their general influence on therapy outcomes. The results indicated that there are seven key predictors that have varying effect sizes on therapy outcome, with Cohen's d ranging from 1.08 to 12.48. The findings suggested that a directive approach is more likely to lead to better outcomes after an SG, and that alliance ruptures can be effectively compensated for. However, these effects
were reversed in the control group. The results of the three studies are discussed regarding their usefulness to support clinical decision-making and their implications for the implementation of precision mental health.
The COVID-19 pandemic has affected schooling worldwide. In many places, schools closed for weeks or months, only part of the student body could be educated at any one time, or students were taught online. Previous research discloses the relevance of schooling for the development of cognitive abilities. We therefore compared the intelligence test performance of 424 German secondary school students in Grades 7 to 9 (42% female) tested after the first six months of the COVID-19 pandemic (i.e., 2020 sample) to the results of two highly comparable student samples tested in 2002 (n = 1506) and 2012 (n = 197). The results revealed substantially and significantly lower intelligence test scores in the 2020 sample than in both the 2002 and 2012 samples. We retested the 2020 sample after another full school year of COVID-19-affected schooling in 2021. We found mean-level changes of typical magnitude, with no signs of catching up to previous cohorts or further declines in cognitive performance. Perceived stress during the pandemic did not affect changes in intelligence test results between the two measurements.
With the advent of highthroughput sequencing (HTS), profiling immunoglobulin (IG) repertoires has become an essential part of immunological research. The dissection of IG repertoires promises to transform our understanding of the adaptive immune system dynamics. Advances in sequencing technology now also allow the use of the Ion Torrent Personal Genome Machine (PGM) to cover the full length of IG mRNA transcripts. The applications of this benchtop scale HTS platform range from identification of new therapeutic antibodies to the deconvolution of malignant B cell tumors. In the context of this thesis, the usability of the PGM is assessed to investigate the IG heavy chain (IGH) repertoires of animal models. First, an innovate bioinformatics approach is presented to identify antigendriven IGH sequences from bulk sequenced bone marrow samples of transgenic humanized rats, expressing a human IG repertoire (OmniRatTM). We show, that these rats mount a convergent IGH CDR3 response towards measles virus hemagglutinin protein and tetanus toxoid, with high similarity to human counterparts. In the future, databases could contain all IGH CDR3 sequences with known specificity to mine IG repertoire datasets for past antigen exposures, ultimately reconstructing the immunological history of an individual. Second, a unique molecular identifier (UID) based HTS approach and network property analysis is used to characterize the CLLlike CD5+ B cell expansion of A20BKO mice overexpressing a natural short splice variant of the CYLD gene (A20BKOsCYLDBOE). We could determine, that in these mice, overexpression of sCYLD leads to unmutated subvariant of CLL (UCLL). Furthermore, we found that this short splice variant is also seen in human CLL patients highlighting it as important target for future investigations. Third, the UID based HTS approach is improved by adapting it to the PGM sequencing technology and applying a custommade data processing pipeline including the ImMunoGeneTics (IMGT) database error detection. Like this, we were able to obtain correct IGH sequences with over 99.5% confidence and correct CDR3 sequences with over 99.9% confidence. Taken together, the results, protocols and sample processing strategies described in this thesis will improve the usability of animal models and the Ion Torrent PGM HTS platform in the field if IG repertoire research.
Das Ideal einer lebendigen Demokratie mit engagierten Bürger/innen lässt nach Wegen suchen, um die Partizipationsbereitschaft nachkommender Generationen zu fördern. Ausgehend von der Prämisse, dass das Wohlbefinden einen zentralen Motivator darstellt, der sich auch bei jungen Menschen mithilfe der Konzepte der Positiven Psychologie gezielt fördern lässt (Brohm & Endres, 2015), nähert sich der vorliegende Beitrag den beiden folgenden Forschungsfragen: Erstens, lässt sich ein Zusammenhang zwischen dem Wohlbefinden Jugendlicher und ihrer politischen Partizipationsbereitschaft respektive ihrem politischen Interesse empirisch nachweisen? Zweitens, in welchen Kontexten und in welchem Maße erleben Jugendliche Wohlbefinden in der Auseinandersetzung mit politischen Themen, Akteur/innen und Prozessen?
Da bisherige bundesweite und regionale Studien zu den Themen Jugend, Politik und politisch-gesellschaftlicher Teilhabe nur in bedingtem Maße Rückschlüsse auf die fünf Elemente des Wohlbefindens nach Seligman (2012) zuließen, wurde im Vorfeld des vorliegenden Beitrags eine schriftliche Befragung von 100 Jugendlichen aus dem saarländischen Landkreis Saarlouis durchgeführt.
Die Befragten charakterisieren sich mehrheitlich als allgemein aufgeschlossen und interessiert, doch es gelingt der Politik und ihren Mittler/innen nur eingeschränkt, dieses Potenzial in aktive politische Teilhabe zu übersetzen. Unter anderem persönliche Kontakte zu politisch Engagierten und eigene Erfahrungen in politischen Verbänden erweisen sich indes als positiv und korrelieren mit dem politischen Interesse und der Offenheit der Jugendlichen gegenüber politischer Partizipation.
Knowledge acquisition comprises various processes. Each of those has its dedicated research domain. Two examples are the relations between knowledge types and the influences of person-related variables. Furthermore, the transfer of knowledge is another crucial domain in educational research. I investigated these three processes through secondary analyses in this dissertation. Secondary analyses comply with the broadness of each field and yield the possibility of more general interpretations. The dissertation includes three meta-analyses: The first meta-analysis reports findings on the predictive relations between conceptual and procedural knowledge in mathematics in a cross-lagged panel model. The second meta-analysis focuses on the mediating effects of motivational constructs on the relationship between prior knowledge and knowledge after learning. The third meta-analysis deals with the effect of instructional methods in transfer interventions on knowledge transfer in school students. These three studies provide insights into the determinants and processes of knowledge acquisition and transfer. Knowledge types are interrelated; motivation mediates the relation between prior and later knowledge, and interventions influence knowledge transfer. The results are discussed by examining six key insights that build upon the three studies. Additionally, practical implications, as well as methodological and content-related ideas for further research, are provided.
In light of an alarming increase of sick leave and early retirement because of mental diseases, the public, political and scientific interest in an effective protection of psychological health within organizational context has been increasing for years. More and more the focus is especially on executives who influence the mental health of their employees by leadership behavior within interactions and by designing work tasks and working pro-cesses. In this regard classical and modern, explicit health-oriented leadership approaches provide valuable insights but also neglect the important influence of leadership situation on health-oriented leadership. This situation reduces the explanatory and predictive potential of available health-oriented leadership concepts.
In article 1 a conceptual framework model called Systemic Salutogenic Interaction Model (SSIM) is developed and justified that is based on findings of evidence-based leadership research but also integrates systemic concepts and key elements of the theory of saluto-genesis. The SSIM distinguishes between two levels: Within the primary system of salutogenic interaction salutogenic leadership and employees behavior for the first time are conceptualized as recipocal influence factors that influence each other (level 1). The organizational context is explicitly taken into account as significant factor outside the primary system that effects the behavior of both interaction partners mediated via cognitive pro-cesses (level 2). Due to this focus on interactions und context factors for the first time leadership situation becomes an explicit component of a health-oriented leadership concept.
First of all, article 2 focusses on the systematic analysis of the relative importance health related leadership aspects. For this purpose the TIMP-inventory was developed that records three distinct core-factors of salutogenic leadership (trust, incident management and pressure) which explain more variance of the Work-SoC construct than established general approaches and health-related leadership concepts.
In article 3 the results of a cross-sectional multilevel analysis indicate that the perceived leadership situation significantly explains variance of salutogenic leadership between teams. For the first time, this shows a significant correlation between specific aspects of leadership situation und salutogenic leadership behavior.
Within the frame of a quasi-experimental study (article 4), for the first time, a correlation is shown between salutogenic target-setting processes on executive’s side and the Work-SoC of team members. These results support an essential effect mechanism that is postulated in the SSIM. Furthermore these findings indicate that the SSIM can profitably be used within the context of salutogenic coachings, underlining its practical benefit.
Taken together the empirical findings of this dissertation support the assumption that the new SSIM approach significantly expands the explanatory und predictive potential of the health-oriented leadership concepts so far available. The results also raise a number of new, interesting questions for future research. Furthermore the SSIM broadens the perspective regarding the strategic orientation of human resource and organizational devel-opment. Especially out of the SSIM important guiding principles and innovative concepts for a target-oriented diagnostic und effective interventions can be derived. Thus this dissertation lays the foundation for a coherent, holistic oriented salutogenic leadership research und practice.