TY  - JOUR
A1  - Wetzel, Britta
A1  - Pryss, Rüdiger
A1  - Baumeister, Harald
A1  - Edler, Johanna-Sophie
A1  - Gonçalves, Ana Sofia Oliveira
A1  - Cohrdes, Caroline
T1  - “How come you don’t call me?” Smartphone communication app usage as an indicator of loneliness and social well-being across the adult lifespan during the COVID-19 pandemic
JF  - International Journal of Environmental Research and Public Health
N2  - Loneliness and lack of social well-being are associated with adverse health outcomes and have increased during the COVID-19 pandemic. Smartphone communication data have been suggested to help monitor loneliness, but this requires further evidence. We investigated the informative value of smartphone communication app data for predicting subjective loneliness and social well-being in a sample of 364 participants ranging from 18 to 78 years of age (52.2% female; mean age = 42.54, SD = 13.22) derived from the CORONA HEALTH APP study from July to December 2020 in Germany. The participants experienced relatively high levels of loneliness and low social well-being during the time period characterized by the COVID-19 pandemic. Apart from positive associations with phone call use times, smartphone communication app use was associated with social well-being and loneliness only when considering the age of participants. Younger participants with higher use times tended to report less social well-being and higher loneliness, while the opposite association was found for older adults. Thus, the informative value of smartphone communication use time was rather small and became evident only in consideration of age. The results highlight the need for further investigations and the need to address several limitations in order to draw conclusions at the population level.
KW  - loneliness
KW  - social well-being
KW  - passive data
KW  - app
KW  - smartphone communication
KW  - COVID-19
KW  - social media use
KW  - age differences
KW  - public mental health
KW  - mental health monitoring
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-241033
SN  - 1660-4601
VL  - 18
IS  - 12
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  -