Cognitive flexibility, central coherence, and quality of life in anorexia nervosa

T Brockmeyer, H Febry, A Leiteritz-Rausch… - Journal of eating …, 2022 - Springer
Background Anorexia nervosa (AN) has consistently been found to be associated with poor
cognitive flexibility and central coherence. These two cognitive functions have been …

Identifying mobile sensing indicators of stress-resilience

DA Adler, VWS Tseng, G Qi, J Scarpa, S Sen… - Proceedings of the …, 2021 - dl.acm.org
Resident physicians (residents) experiencing prolonged workplace stress are at risk of
developing mental health symptoms. Creating novel, unobtrusive measures of resilience …

Fusing ambient and mobile sensor features into a behaviorome for predicting clinical health scores

DJ Cook, M Schmitter-Edgecombe - IEEE Access, 2021 - ieeexplore.ieee.org
Advances in machine learning and low-cost, ubiquitous sensors offer a practical method for
understanding the predictive relationship between behavior and health. In this study, we …

Predicting relapse in substance use: prospective modeling based on intensive longitudinal data on mental health, cognition, and craving

ADF Lauvsnes, RW Gråwe, M Langaas - Brain Sciences, 2022 - mdpi.com
Patients with severe substance use disorders are often characterized by neurocognitive
impairments and elevated mental health symptom load, typically associated with craving …

[HTML][HTML] Mobile Assessments of Mood, Cognition, Smartphone-Based Sensor Activity, and Variability in Craving and Substance Use in Patients With Substance Use …

ADF Lauvsnes, TI Hansen, SØ Ankill… - JMIR Formative …, 2023 - formative.jmir.org
Background Patients with substance use disorders (SUDs) are at increased risk for symptom
deterioration following treatment, with up to 60% resuming substance use within the first …

Detecting momentary reward and affect with real-time passive digital sensor data

S Akre, ZD Cohen, A Welborn, TD Zbozinek… - 2024 - researchsquare.com
This study explores the capability of passive digital sensor data from smartphones and
smartwatches to predict self-reported ecological momentary assessments (EMA) of affect …