Bipolar Disorders
Can Daily Actigraphy Profiles Distinguish between Different Mood States in Inpatients with Bipolar Disorder? An Observational Study
Xinyi Deng, B.S.
MA student in Human Development
Cornell University
Ithaca, New York
Yinlin Zhang, B.S.
MMed student
the First Affiliated Hospital of Chongqing Medical University
Chongqing, Chongqing, China (People's Republic)
Xueqian Wang, B.S.
MA student in Applied Psychology
the First Affiliated Hospital of Chongqing Medical University
Chongqing, Chongqing, China (People's Republic)
Huirong Luo, B.S.
MMed student
the First Affiliated Hospital of Chongqing Medical University
Chongqing, Chongqing, China (People's Republic)
Xu Lei, Ph.D.
Professor
Southwest University
Chongqing, Chongqing, China (People's Republic)
Qinghua Luo, M.D.
Associate Professor
the First Affiliated Hospital of Chongqing Medical University
Chongqing, Chongqing, China (People's Republic)
Abstract
Background: Criterion A changes for bipolar disorder (BD) in the Diagnostic and Statistical Manual of Mental Disorders–Fifth Edition yield new difficulties in diagnosis. Actigraphy has been used to capture the activity features of patients with BD. However, it remains unclear whether long-term actigraphy data could distinguish between different mood states in hospitalized patients with BD.
Methods: In this observational study, 30 hospitalized patients with BD were included. Wrist-worn Actigraph was used to monitor motor activity. The patients were divided into bipolar disorder–depression (BD-D), bipolar disorder–mania (BD-M), and bipolar disorder–mixed state (BD-MS) groups. Motor activity differences were estimated using non-parametric analysis between and within the three BD groups.
Results: The mean 24-hour activity level differed between the groups. In the between-group analysis, the intra-individual fluctuation and minute-to-minute variability in the morning and the mean activity level and minute-to-minute variability in the evening significantly differed between the BD-M and BD-MS groups. In the within-group analysis, the BD-M group showed a disrupted circadian rhythm and reduced activity complexity at night. Both the BD-D and BD-MS groups demonstrated significant differences between several parameters obtained in the morning and evening.
Conclusions: The mean activity levels during the relatively long monitoring period and the intra-day variation within the groups could reflect the differences in motor activity. Sustained activity monitoring may clarify the emotional states and provide information for clinical diagnosis.