Refine
Document Type
- Article (17)
- Working Paper (3)
- Postprint (2)
- Conference Proceeding (1)
- Doctoral Thesis (1)
Keywords
- mental health (24) (remove)
Institute
- Department Psychologie (7)
- Fachgruppe Volkswirtschaftslehre (4)
- Center for Economic Policy Analysis (CEPA) (3)
- Department Sport- und Gesundheitswissenschaften (3)
- Extern (3)
- Strukturbereich Kognitionswissenschaften (2)
- Department Erziehungswissenschaft (1)
- Digital Engineering Fakultät (1)
- Fachgruppe Betriebswirtschaftslehre (1)
- Fachgruppe Soziologie (1)
- Fakultät für Gesundheitswissenschaften (1)
- Hasso-Plattner-Institut für Digital Engineering gGmbH (1)
- Zentrum für Qualitätsentwicklung in Lehre und Studium (ZfQ) (1)
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.
Pandemic depression
(2022)
We investigate the effect of the COVID-19 pandemic on self-employed people’s mental health. Using representative longitudinal survey data from Germany, we reveal differential effects by gender: whereas self-employed women experienced a substantial deterioration in their mental health, self-employed men displayed no significant changes up to early 2021. Financial losses are important in explaining these differences. In addition, we find larger mental health responses among self-employed women who were directly affected by government-imposed restrictions and bore an increased childcare burden due to school and daycare closures. We also find that self-employed individuals who are more resilient coped better with the crisis.
We investigate the effect of the COVID-19 pandemic on self-employed people’s mental health. Using representative longitudinal survey data from Germany, we reveal differential effects by gender: whereas self-employed women experienced a substantial deterioration in their mental health, self-employed men displayed no significant changes up to early 2021. Financial losses are important in explaining these differences. In addition, we find larger mental health responses among self-employed women who were directly affected by government-imposed restrictions and bore an increased childcare burden due to school and daycare closures. We also find that self-employed individuals who are more resilient coped better with the crisis.
Labor market policies, such as training and sanctions, are commonly used to bring workers back to work. By analogy to medical treatments, exposure to these tools can have side effects. We study the effects on health using individual-level population registers on labor market outcomes, drug prescriptions, and sickness absence, comparing outcomes before and after exposure to training and sanctions. Training improves cardiovascular and mental health, and lowers sickness absence. This is likely to be the result of the instantaneous features of participation, such as the adoption of a more rigorous daily routine, rather than improved employment prospects. Benefits sanctions cause a short-run deterioration of mental health.
Labor market policy tools such as training and sanctions are commonly used to help bring workers back to work. By analogy to medical treatments, the individual exposure to these tools may have side effects. We study effects on health using individual-level population registers on labor market events outcomes, drug prescriptions and sickness absence, comparing outcomes before and after exposure to training and sanctions. We find that training improves cardiovascular and mental health and lowers sickness absence. The results suggest that this is not due to improved employment prospects but rather to instantaneous features of participation such as, perhaps, the adoption of a more rigorous daily routine. Unemployment benefits sanctions cause a short-run deterioration of mental health, possibly due higher stress levels, but this tapers out quickly.
Das Gewichtsstigma und insbesondere das internalisierte Gewichtsstigma sind bei Kindern und Jugendlichen mit negativen Folgen für die physische und psychische Gesundheit assoziiert. Da die Befundlage in diesem Altersbereich jedoch noch unzureichend ist, war es das Ziel der Dissertation, begünstigende Faktoren und Folgen von gewichtsbezogener Stigmatisierung und internalisiertem Gewichtsstigma bei Kindern und Jugendlichen zu untersuchen. Die Analysen basierten auf zwei großen Stichproben, die im Rahmen der prospektiven PIER-Studie an Schulen rekrutiert wurden. Die erste Publikation bezieht sich auf eine Stichprobe mit Kindern und Jugendlichen im Alter zwischen 9 und 19 Jahren (49.2 % weiblich) und untersuchte den prospektiven bidirektionalen Zusammenhang zwischen erlebter Gewichtsstigmatisierung und Gewichtsstatus anhand eines latenten Strukturgleichungsmodells über drei Messzeitpunkte hinweg. Die anderen beiden Publikationen beziehen sich auf eine Stichprobe mit Kindern und Jugendlichen im Alter zwischen 6 und 11 Jahren (51.1 % weiblich). Die zweite Publikation analysierte anhand einer hierarchischen Regression, welche intrapersonalen Risikofaktoren das internalisierte Gewichtsstigma prospektiv prädizieren. Die dritte Publikation untersuchte anhand von ROC-Kurven, ab welchem Ausmaß das internalisierte Gewichtsstigma mit einem erhöhten Risiko für psychosoziale Auffälligkeit und gestörtes Essverhalten einhergeht. Im Rahmen der ersten Publikation zeigte sich, dass ein höherer Gewichtsstatus mit einer höheren späteren Gewichtsstigmatisierung einhergeht und umgekehrt die Gewichtsstigmatisierung auch den späteren Gewichtsstatus prädiziert. Die zweite Publikation identifizierte Gewichtsstatus, gewichtsbezogene Hänseleien, depressive Symptome, Körperunzufriedenheit, Relevanz der eigenen Figur sowie das weibliche Geschlecht und einen niedrigeren Bildungsabschluss der Eltern als Prädiktoren des internalisierten Gewichtsstigmas. Die dritte Publikation verdeutlichte, dass das internalisierte Gewichtsstigma bereits ab einem geringen Ausmaß mit einem erhöhten Risiko für gestörtes Essverhalten einhergeht und mit weiteren psychosozialen Problemen assoziiert ist. Insgesamt zeigte sich, dass sowohl das erlebte als auch das internalisierte Gewichtsstigma bei Kindern und Jugendlichen über alle Gewichtsgruppen hinweg relevante Konstrukte sind, die im Entwicklungsverlauf ein komplexes Gefüge bilden. Es wurde deutlich, dass es essentiell ist, bidirektionale Wirkmechanismen einzubeziehen. Die vorliegende Dissertation liefert erste Ansatzpunkte für die Gestaltung von Präventions- und Interventionsmaßnahmen, um ungünstige Entwicklungsverläufe in Folge von Gewichtsstigmatisierung und internalisiertem Gewichtsstigma zu verhindern.
Against a background of increasing violence against non-natives, we estimate the effect of hate crime on refugees’ mental health in Germany. For this purpose, we combine two datasets: administrative records on xenophobic crime against refugee shelters by the Federal Criminal Office and the IAB-BAMF-SOEP Survey of Refugees. We apply a regression discontinuity in time design to estimate the effect of interest. Our results indicate that hate crime has a substantial negative effect on several mental health indicators, including the Mental Component Summary score and the Patient Health Questionnaire-4 score. The effects are stronger for refugees with closer geographic proximity to the focal hate crime and refugees with low country-specific human capital. While the estimated effect is only transitory, we argue that negative mental health shocks during the critical period after arrival have important long-term consequences. Keywords: Mental health, hate crime, migration, refugees, human capital.
The primary aim of the current study was to examine the unique contribution of psychological need frustration and need satisfaction in the prediction of adults’ mental well-being and ill-being in a heterogeneous sample of adults (N = 334; Mage = 43.33, SD = 32.26; 53% females). Prior to this, validity evidence was provided for the German version of the Basic Psychological Need Satisfaction and Frustration Scale (BPNSFS) based on Self-Determination Theory (SDT). The results of the validation analyses found the German BPNSFS to be a valid and reliable measurement. Further, structural equation modeling (SEM) showed that both need satisfaction and frustration yielded unique and opposing associations with well-being. Specifically, the dimension of psychological need frustration predicted adults’ ill-being. Future research should examine whether frustration of psychological needs is involved in the onset and maintenance of psychopathology (e.g., major depressive disorder).
Satisfaction and frustration of the needs for autonomy, competence, and relatedness, as assessed with the 24-item Basic Psychological Need Satisfaction and Frustration Scale (BPNSFS), have been found to be crucial indicators of individuals’ psychological health. To increase the usability of this scale within a clinical and health services research context, we aimed to validate a German short version (12 items) of this scale in individuals with depression including the examination of the relations from need frustration and need satisfaction to ill-being and quality of life (QOL). This cross-sectional study involved 344 adults diagnosed with depression (Mage (SD) = 47.5 years (11.1); 71.8% females). Confirmatory factor analyses indicated that the short version of the BPNSFS was not only reliable, but also fitted a six-factor structure (i.e., satisfaction/frustration X type of need). Subsequent structural equation modeling showed that need frustration related positively to indicators of ill-being and negatively to QOL. Surprisingly, need satisfaction did not predict differences in ill-being or QOL. The short form of the BPNSFS represents a practical instrument to measure need satisfaction and frustration in people with depression. Further, the results support recent evidence on the importance of especially need frustration in the prediction of psychopathology.
Satisfaction and frustration of the needs for autonomy, competence, and relatedness, as assessed with the 24-item Basic Psychological Need Satisfaction and Frustration Scale (BPNSFS), have been found to be crucial indicators of individuals’ psychological health. To increase the usability of this scale within a clinical and health services research context, we aimed to validate a German short version (12 items) of this scale in individuals with depression including the examination of the relations from need frustration and need satisfaction to ill-being and quality of life (QOL). This cross-sectional study involved 344 adults diagnosed with depression (Mage (SD) = 47.5 years (11.1); 71.8% females). Confirmatory factor analyses indicated that the short version of the BPNSFS was not only reliable, but also fitted a six-factor structure (i.e., satisfaction/frustration X type of need). Subsequent structural equation modeling showed that need frustration related positively to indicators of ill-being and negatively to QOL. Surprisingly, need satisfaction did not predict differences in ill-being or QOL. The short form of the BPNSFS represents a practical instrument to measure need satisfaction and frustration in people with depression. Further, the results support recent evidence on the importance of especially need frustration in the prediction of psychopathology.