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Work-anxieties are costly and need early intervention. The perception of being able to cope with work is a basic requirement for work ability. This randomized controlled trial investigates whether a cognitive behavioural, work-anxiety-coping group (WAG) intervention leads to better work-coping perception than an unspecific recreational group (RG). Heterogeneous people in medical rehabilitation, who were due to return to work, were interviewed concerning their work-anxieties, and either randomly assigned to a WAG (n=85) or a RG (n=95). The participants (with an average of 50years old [range 23-64]; 51% women; 70% workers or employees, 25% academics, 5% unskilled) followed the group intervention for four or six sessions. The perceived work-coping was assessed by self-rating (Inventory for Job-Coping and Return Intention JoCoRi) after each group session. Although participants had a slight temporary decrease in work-coping after group session two (from M-1=2.47 to M-2=2.28, d(Cohen)=-.22), the WAG led to the improvement of perceived work-coping over the intervention course (from M-1=2.47 to M-6=2.65, d(Cohen)=.18). In contrast, participants from the RG reported lower work-coping after six group sessions (from M-1=2.26 to M-6=2.02, d(Cohen)=-.18). It is considered that people with work-anxieties need training in work-coping. By focusing on recreation only, this may lead to deterioration of work-coping. Indeed, intervention designers should be aware of temporary deterioration (side effects) when confronting participants with work-coping.
Who suffered most?
(2022)
Objective:
This study examines gender and socioeconomic inequalities in parental psychological wellbeing (parenting stress and psychological distress) during the COVID-19 pandemic in Germany.
Background:
The dramatic shift of childcare and schooling responsibility from formal institutions to private households during the pandemic has put families under enormous stress and raised concerns about caregivers' health and wellbeing. Despite the overwhelming media attention to families’ wellbeing, to date limited research has examined parenting stress and parental psychological distress during the COVID-19 pandemic, particularly in Germany.
Method:
We analyzed four waves of panel data (N= 1,771) from an opt-in online survey, which was conducted between March 2020 and April 2021. Multivariable OLS regressions were used to estimate variations in the pandemic's effects on parenting stress and psychological distress by various demographic and socioeconomic characteristics.
Results:
Overall, levels of parenting stress and psychological distress increased during the pandemic. During the first and third wave of the COVID-19 pandemic, mothers, parents with children younger than 11 years, parents with two or more children, parents working from home as well as parents with financial insecurity experienced higher parenting stress than other sociodemographic groups. Moreover, women, respondents with lower incomes, single parents, and parents with younger children experienced higher levels of psychological distress than other groups.
Conclusion:
Gender and socioeconomic inequalities in parents' psychological wellbeing increased among the study participants during the pandemic.
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.
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.
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).
SREIS-D
(2020)
Emotionale Intelligenz (EI) ist ein zentraler Prädiktor psychischer Gesundheit. Im deutschsprachigen Raum lag bislang keine am Vier-Facetten-Modell der EI orientierte Selbstbeschreibungsskala vor, die an klinischen und nicht-klinischen Gruppen getestet wurde. Die Self-Rated Emotional Intelligence Scale (SREIS) ist mit 19 Items ein ökonomisch einsetzbares Instrument. Die Skala wurde ins Deutsche übertragen und psychometrisch überprüft. Außerdem wurde die SREIS erstmals an einer klinischen Population getestet. Auch werden erstmals differenzierte Ergebnisse zu den vier EI-Facetten vorgelegt. Die Ergebnisse bestätigen die Faktorenstruktur der englischen Originalskala. Die Reliabilität der Gesamtskala ist als gut einzustufen. Validität wird durch erwartungskonforme Korrelationen mit anderen EI-Maßen sowie klinischen Parametern belegt. Durch Diskriminationsfähigkeit zwischen klinischer Stichprobe und nicht-klinischer Kontrollgruppe zeigt die Skala zusätzlich klinische Relevanz. Skalare Messinvarianz zwischen beiden Gruppen liegt vor. Die SREIS-D ist ein ökonomisch einsetzbares Selbstberichtsmaß zur Erfassung von Facetten der EI im klinischen und subklinischen Bereich.
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.
The purpose of the present study was to investigate the moderating effect of perceived social support from friends in the associations between self-isolation practices during the COVID-19 pandemic and adolescents' mental health (i.e., depression, subjective health complaints, self-harm), measured six months later (Time 2). Participants were 1,567 7(th) and 8(th) graders (51% female; 51% white; M age = 13.67) from the United States. They completed questionnaires on perceived social support from friends, depression, subjective health complaints, and self-harm at Time 1, and self-isolation practices during COVID-19, depression, subjective health complaints, and self-harm at Time 2. The findings revealed that self-isolation practices during COVID-19 was related positively to Time 1 perceived social support from friends, and negatively to Time 2 depression, subjective health complaints, and self-harm, while accounting for Time 1 mental health outcomes. Higher perceived social support from friends at Time 1 buffered against the negative impacts on adolescents' mental health outcomes at Time 2 when they practiced greater self-isolation during COVID-19, while lower perceived social support at Time 1 had the opposite effects on Time 2 mental health outcomes.
Objective
Problem-drinking among university students is common and poses serious health-related risks. Therefore, identifying and addressing associated factors is important.
Participants and methods
A large cross-sectional online-survey with 12,914 university students from Berlin was conducted from November 2016 to August 2017. Relative-risk- and correlation-analysis was used to identify factors associated with problem-drinking and regular heavy-drinking. Independent t-tests compared impulsivity and personality traits, chi-square-tests compared drinking motives between risk- and non-risk-drinkers.
Results
Male gender, tobacco-smoking, illegal substance use, impulsivity and various sociodemographic and psychosocial variables were significantly related to problem/heavy-drinking. Extraversion was a risk, conscientiousness and agreeableness were protective factors. Drinking-motives did not differ significantly between risk- and non-risk-drinkers. Generally, the main drinking-motives were to feel elated, relax and social purposes.
Conclusion
The identified markers and related problem behaviors may serve as a tool to enhance the identification of student subgroups at risk for problem/heavy-drinking, and hence improve targeted health-intervention-programs.
Personal values and personality traits are related yet distinguishable constructs linked to mental health. The present study extends the current literature on personal values and personality traits by investigating the associations between the higher-order dimensions of personal values (i.e., general values factor, conservation, and self-transcendence), trait emotional intelligence (TEI), and mental health problems (i.e., depressive, anxiety, and somatoform syndromes). The study draws on a cross-sectional online sample of N = 618 young German adults. Global TEI and all four TEI factors (i.e., well-being, sociability, emotionality, and self-control) correlated positively with the g-value factor but negatively with conservation. Emotionality was also positively related to self-transcendence. Mental health problems correlated positively with conservation and negatively with the general values factor. When the effects of global TEI were accounted for, conservation but not the general values factor remained significantly related to mental health problems. Global TEI fully mediated the relationship between the g-value factor and mental health problems and partially mediated the association between conservation and mental health problems. The implications of these results are discussed.