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Corona Health
(2021)
Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data suffering from recall bias. Ecological momentary assessment (EMA) driven smartphone apps can help alleviate such issues, allowing for in situ recordings. Implementing such an app is not trivial, necessitates strict regulatory and legal requirements, and requires short development cycles to appropriately react to abrupt changes in the pandemic. Based on an existing app framework, we developed Corona Health, an app that serves as a platform for deploying questionnaire-based studies in combination with recordings of mobile sensors. In this paper, we present the technical details of Corona Health and provide first insights into the collected data. Through collaborative efforts from experts from public health, medicine, psychology, and computer science, we released Corona Health publicly on Google Play and the Apple App Store (in July 2020) in eight languages and attracted 7290 installations so far. Currently, five studies related to physical and mental well-being are deployed and 17,241 questionnaires have been filled out. Corona Health proves to be a viable tool for conducting research related to the COVID-19 pandemic and can serve as a blueprint for future EMA-based studies. The data we collected will substantially improve our knowledge on mental and physical health states, traits and trajectories as well as its risk and protective factors over the course of the COVID-19 pandemic and its diverse prevention measures.
This work strives to develop a typological classification of the use of conscious and unconscious defense and coping mechanisms based on methodically and structurally collected data from a qualitative survey of 43 former soldiers in Germany. Seven coping and defense types were identified: the Fighter, the Comrade, the Corpsman, the Strategist, the Partisan, the Self-Protector and the Infantryman. The types identified differed with regard to the accumulation, combination, and use of their conscious and unconscious defense and coping mechanisms in the superordinate areas of behaviour, relationships, emotions, reflexivity and time focus. The typological classification could offer psychotherapeutic interventions tailored to individuals and their defense and coping mechanisms, which could lead to improved therapy use and compliance.
This paper takes up ongoing discussions on the inequality of educational opportunities and formulates a conceptual model to link separate lines of research. Our particular focus is on combining motivational and structural approaches into a mediation model that explains differences in academic achievement. In the literature, four main mechanisms of social reproduction are discussed. Two main pathways refer to (1) parents’ expectations regarding their children’s academic success and (2) replicating cultural capital through intra‐familial cultural practices. (3) Parents’ perception of children’s abilities depends on social position and is influential for expectations of success. (4) For all three pathways, we expect effects on students’ motivational characteristics, which in turn influence academic achievement. We test our conceptual model by structural equation modelling using longitudinal data from primary school students in Germany. Empirical evidence is in line with the assumptions in the model. Cultural reproduction and expectations of success can be seen as the key components of the model. However, both chains of reproduction are related to each other by parents’ perception of child’s ability, and their effects are mediated by child’s motivational characteristics.
This paper takes up ongoing discussions on the inequality of educational opportunities and formulates a conceptual model to link separate lines of research. Our particular focus is on combining motivational and structural approaches into a mediation model that explains differences in academic achievement. In the literature, four main mechanisms of social reproduction are discussed. Two main pathways refer to (1) parents’ expectations regarding their children’s academic success and (2) replicating cultural capital through intra‐familial cultural practices. (3) Parents’ perception of children’s abilities depends on social position and is influential for expectations of success. (4) For all three pathways, we expect effects on students’ motivational characteristics, which in turn influence academic achievement. We test our conceptual model by structural equation modelling using longitudinal data from primary school students in Germany. Empirical evidence is in line with the assumptions in the model. Cultural reproduction and expectations of success can be seen as the key components of the model. However, both chains of reproduction are related to each other by parents’ perception of child’s ability, and their effects are mediated by child’s motivational characteristics.
Employees of the public employment services (PES) are street-level bureaucrats who shape activation policy on the ground. This paper examines how PES staff use enhanced discretion in an innovation project carried out by the German Federal Employment Agency. Applying a bottom-up perspective, we reconstruct PES employees’ logic of action and the dilemmas they face in improving counselling and placement services. According to our findings, placement staff use enhanced discretion to promote more individualised support and an adequate matching of jobseekers and employers. The use of discretion is framed by organisational norms and reward mechanisms and by the current labour market situation. Our analyses are based on qualitative interviews and group discussions with placement staff.
Employees of the public employment services (PES) are street-level bureaucrats who shape activation policy on the ground. This paper examines how PES staff use enhanced discretion in an innovation project carried out by the German Federal Employment Agency. Applying a bottom-up perspective, we reconstruct PES employees’ logic of action and the dilemmas they face in improving counselling and placement services. According to our findings, placement staff use enhanced discretion to promote more individualised support and an adequate matching of jobseekers and employers. The use of discretion is framed by organisational norms and reward mechanisms and by the current labour market situation. Our analyses are based on qualitative interviews and group discussions with placement staff.
The aim of this study was to investigate the impact of different coping styles on situational coping in everyday life situations and gender differences. An ecological momentary assessment study with the mobile health app TrackYourStress was conducted with 113 participants. The coping styles Positive Thinking, Active Stress Coping, Social Support, Support in Faith, and Alcohol and Cigarette Consumption of the Stress and Coping Inventory were measured at baseline. Situational coping was assessed by the question “How well can you cope with your momentary stress level” over 4 weeks. Multilevel models were conducted to test the effects of the coping styles on situational coping. Additionally, gender differences were evaluated. Positive Thinking (p = 0.03) and Active Stress Coping (p = 0.04) had significant positive impacts on situational coping in the total sample. For women, Social Support had a significant positive effect on situational coping (p = 0.046). For men, Active Stress Coping had a significant positive effect on situational coping (p = 0.001). Women had higher scores on the SCI scale Social Support than men (p = 0.007). These results suggest that different coping styles could be more effective in daily life for women than for men. Taking this into account, interventions tailored to users’ coping styles might lead to better coping outcomes than generalized interventions.
Mobile apps are increasingly utilized to gather data for various healthcare aspects. Furthermore, mobile apps are used to administer interventions (e.g., breathing exercises) to individuals. In this context, mobile crowdsensing constitutes a technology, which is used to gather valuable medical data based on the power of the crowd and the offered computational capabilities of mobile devices. Notably, collecting data with mobile crowdsensing solutions has several advantages compared to traditional assessment methods when gathering data over time. For example, data is gathered with high ecological validity, since smartphones can be unobtrusively used in everyday life. Existing approaches have shown that based on these advantages new medical insights, for example, for the tinnitus disease, can be revealed. In the work at hand, data of a developed mHealth crowdsensing platform that assesses the stress level and fluctuations of the platform users in daily life was investigated. More specifically, data of 1797 daily measurements on GPS and stress-related data in 77 users were analyzed. Using this data source, machine learning algorithms have been applied with the goal to predict stress-related parameters based on the GPS data of the platform users. Results show that predictions become possible that (1) enable meaningful interpretations as well as (2) indicate the directions for further investigations. In essence, the findings revealed first insights into the stress situation of individuals over time in order to improve their quality of life. Altogether, the work at hand shows that mobile crowdsensing can be valuably utilized in the context of stress on one hand. On the other, machine learning algorithms are able to utilize geospatial data of stress measurements that was gathered by a crowdsensing platform with the goal to improve the quality of life of its participating crowd users.