Ontology highlight
ABSTRACT: Objectives
Using two intensive longitudinal data sets with different timescales (90 minutes, daily), we examined emotion network density, a metric of emotional inflexibility, as a predictor of clinical-level anxiety and depression.Design
Mobile-based intensive longitudinal assessments.Methods
119 participants (61 anxious and depressed, 58 healthy controls) completed ecological momentary assessment (EMA) to rate a variety of negative (NE) and positive emotions (PE) 9 times per day for 8 days using a mobile phone application. 169 participants (97 anxious and depressed and 72 healthy controls) completed an online daily diary on their NE and PE for 50 days. Multilevel vector autoregressive models were run to compute NE and PE network densities in each data set.Resul
SUBMITTER: Shin KE
PROVIDER: S-EPMC8572316 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature