Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Yannik, Terhorst"'
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e51875 (2024)
BackgroundThe objective, unobtrusively collected GPS features (eg, homestay and distance) from everyday devices like smartphones may offer a promising augmentation to current assessment tools for depression. However, to date, there is no systematic a
Externí odkaz:
https://doaj.org/article/6d3830d41e2a4236b8ade9bedf0cc633
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e45530 (2024)
BackgroundSpecialized studies have shown that smartphone-based social interaction data are predictors of depressive and anxiety symptoms. Moreover, at times during the COVID-19 pandemic, social interaction took place primarily remotely. To appropriat
Externí odkaz:
https://doaj.org/article/f1e6971d511845ac8b8a198bc8bfe9e5
Autor:
Laura Simon, Yannik Terhorst, Caroline Cohrdes, Rüdiger Pryss, Lisa Steinmetz, Jon D. Elhai, Harald Baumeister
Publikováno v:
Sleep Medicine: X, Vol 7, Iss , Pp 100114- (2024)
Introduction: Digital phenotyping can be an innovative and unobtrusive way to improve the detection of insomnia. This study explores the correlations between smartphone usage features (SUF) and insomnia symptoms and their predictive value for detecti
Externí odkaz:
https://doaj.org/article/6179da647d274d3a9993a4f5e27526f0
Publikováno v:
Frontiers in Digital Health, Vol 6 (2024)
BackgroundMental health problems are prevalent among people with diabetes, yet often under-diagnosed. Smart sensing, utilizing passively collected digital markers through digital devices, is an innovative diagnostic approach that can support mental h
Externí odkaz:
https://doaj.org/article/9fc9bd2ef0a4487b9da841739d8696fd
Autor:
Fabian Rottstädt, Eduard Becker, Gabriele Wilz, Ilona Croy, Harald Baumeister, Yannik Terhorst
Publikováno v:
Frontiers in Digital Health, Vol 6 (2024)
ObjectiveSmart sensing has the potential to make psychotherapeutic treatments more effective. It involves the passive analysis and collection of data generated by digital devices. However, acceptance of smart sensing among psychotherapy patients rema
Externí odkaz:
https://doaj.org/article/6f85c28a4e3e4dcab3ce8e4a96ff1178
Autor:
Mathias Harrer, David Daniel Ebert, Paula Kuper, Sarah Paganini, Sandra Schlicker, Yannik Terhorst, Benedikt Reuter, Lasse B. Sander, Harald Baumeister
Publikováno v:
Internet Interventions, Vol 33, Iss , Pp 100634- (2023)
Background: Depression is highly prevalent among individuals with chronic back pain. Internet-based interventions can be effective in treating and preventing depression in this patient group, but it is unclear who benefits most from this intervention
Externí odkaz:
https://doaj.org/article/412832e42c7844ccb215b95bcac2d98a
Autor:
Sarah Paganini, Evelyn Meier, Yannik Terhorst, Ramona Wurst, Vivien Hohberg, Dana Schultchen, Jana Strahler, Max Wursthorn, Harald Baumeister, Eva-Maria Messner
Publikováno v:
JMIR mHealth and uHealth, Vol 11, p e42415 (2023)
BackgroundChronic stress poses risks for physical and mental well-being. Stress management interventions have been shown to be effective, and stress management apps (SMAs) might help to transfer strategies into everyday life. ObjectiveThis review ai
Externí odkaz:
https://doaj.org/article/680a872da4c04ecb81f1ed341b7826af
Publikováno v:
Digital Health, Vol 9 (2023)
Objective Mental health self-report and clinician-rating scales with diagnoses defined by sum-score cut-offs are often used for depression screening. This study investigates whether machine learning (ML) can detect major depressive episodes (MDE) bas
Externí odkaz:
https://doaj.org/article/1daa5ba970c8495ca60ce1dbde9e3155
Autor:
Yannik Terhorst, Nadine Weilbacher, Carolin Suda, Laura Simon, Eva-Maria Messner, Lasse Bosse Sander, Harald Baumeister
Publikováno v:
Frontiers in Digital Health, Vol 5 (2023)
BackgroundAccurate and timely diagnostics are essential for effective mental healthcare. Given a resource- and time-limited mental healthcare system, novel digital and scalable diagnostic approaches such as smart sensing, which utilizes digital marke
Externí odkaz:
https://doaj.org/article/0d47dd72cf32441da5890bd596c832cb
Autor:
Ann-Marie Küchler, Fanny Kählke, Leandra Bantleon, Yannik Terhorst, David Daniel Ebert, Harald Baumeister
Publikováno v:
Frontiers in Digital Health, Vol 5 (2023)
BackgroundExisting evidence suggests internet- and mobile-based interventions (IMIs) improve depressive symptoms in college students effectively. However, there is far less knowledge about the potential mechanisms of change of mindfulness-based IMIs,
Externí odkaz:
https://doaj.org/article/0ec8f758870d48e898522ca27e49d18b