Use of ecological momentary assessment to detect variability in mood, sleep and stress in bipolar disorder

• Main Authors: Han Li, Dahlia Mukherjee, Venkatesh Basappa Krishnamurthy, Caitlin Millett, Kelly A. Ryan, Lijun Zhang, Erika F. H. Saunders, Ming Wang
• Format: Article
• Language: English
• Published: BMC 2019-12-01
• Series: BMC Research Notes
• Subjects: Multilevel models; Subject heterogeneity; Ecological Momentary Assessment; Mood disorders; Mania; Affective disorders
• Online Access: https://doi.org/10.1186/s13104-019-4834-7

Abstract Objective Our aim was to study within-person variability in mood, cognition, energy, and impulsivity measured in an Ecological Momentary Assessment paradigm in bipolar disorder by using modern statistical techniques. Exploratory analyses tested the relationship between bipolar disorder symptoms and hours of sleep, and levels of pain, social and task-based stress. We report an analysis of data from a two-arm, parallel group study (bipolar disorder group N = 10 and healthy control group N = 10, with 70% completion rate of 14-day surveys). Surveys of bipolar disorder symptoms, social stressors and sleep hours were completed on a smartphone at unexpected times in an Ecological Momentary Assessment paradigm twice a day. Multi-level models adjusted for potential subject heterogeneity were adopted to test the difference between the bipolar disorder and health control groups. Results Within-person variability of mood, energy, speed of thoughts, impulsivity, pain and perception of skill of tasks was significantly higher in the bipolar disorder group compared to health controls. Elevated bipolar disorder symptom domains in the evening were associated with reduced sleep time that night. Stressors were associated with worsening of bipolar disorder symptoms. Detection of symptoms when an individual is experiencing difficulty allows personalized, focused interventions.