TY  - JOUR
A1  - Weiß, Martin
A1  - Gründahl, Marthe
A1  - Deckert, Jürgen
A1  - Eichner, Felizitas A.
A1  - Kohls, Mirjam
A1  - Störk, Stefan
A1  - Heuschmann, Peter U.
A1  - Hein, Grit
T1  - Differential network interactions between psychosocial factors, mental health, and health-related quality of life in women and men
JF  - Scientific Reports
N2  - Psychosocial factors affect mental health and health-related quality of life (HRQL) in a complex manner, yet gender differences in these interactions remain poorly understood. We investigated whether psychosocial factors such as social support and personal and work-related concerns impact mental health and HRQL differentially in women and men during the first year of the COVID-19 pandemic. Between June and October 2020, the first part of a COVID-19-specific program was conducted within the “Characteristics and Course of Heart Failure Stages A-B and Determinants of Progression (STAAB)” cohort study, a representative age- and gender-stratified sample of the general population of Würzburg, Germany. Using psychometric networks, we first established the complex relations between personal social support, personal and work-related concerns, and their interactions with anxiety, depression, and HRQL. Second, we tested for gender differences by comparing expected influence, edge weight differences, and stability of the networks. The network comparison revealed a significant difference in the overall network structure. The male (N = 1370) but not the female network (N = 1520) showed a positive link between work-related concern and anxiety. In both networks, anxiety was the most central variable. These findings provide further evidence that the complex interplay of psychosocial factors with mental health and HRQL decisively depends on gender. Our results are relevant for the development of gender-specific interventions to increase resilience in times of pandemic crisis.
KW  - anxiety
KW  - depression
KW  - human behaviour
KW  - quality of life
Y1  - 2023
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-357858
VL  - 13
ER  - 
TY  - JOUR
A1  - Beierle, Felix
A1  - Schobel, Johannes
A1  - Vogel, Carsten
A1  - Allgaier, Johannes
A1  - Mulansky, Lena
A1  - Haug, Fabian
A1  - Haug, Julian
A1  - Schlee, Winfried
A1  - Holfelder, Marc
A1  - Stach, Michael
A1  - Schickler, Marc
A1  - Baumeister, Harald
A1  - Cohrdes, Caroline
A1  - Deckert, Jürgen
A1  - Deserno, Lorenz
A1  - Edler, Johanna-Sophie
A1  - Eichner, Felizitas A.
A1  - Greger, Helmut
A1  - Hein, Grit
A1  - Heuschmann, Peter
A1  - John, Dennis
A1  - Kestler, Hans A.
A1  - Krefting, Dagmar
A1  - Langguth, Berthold
A1  - Meybohm, Patrick
A1  - Probst, Thomas
A1  - Reichert, Manfred
A1  - Romanos, Marcel
A1  - Störk, Stefan
A1  - Terhorst, Yannik
A1  - Weiß, Martin
A1  - Pryss, Rüdiger
T1  - Corona Health — A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic
JF  - International Journal of Environmental Research and Public Health
N2  - 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.
KW  - mobile health
KW  - ecological momentary assessment
KW  - digital phenotyping
KW  - longitudinal studies
KW  - mobile crowdsensing
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-242658
SN  - 1660-4601
VL  - 18
IS  - 14
ER  -