ABSTRACT
INTRODUCTION: Alterations in motor activity are well-established symptoms of bipolar disorder, and time series of motor activity can be considered complex dynamical systems. In such systems, early warning signals (EWS) occur in a critical transition period preceding a sudden shift (tipping point) in the system. EWS are statistical observations occurring due to a system's declining ability to maintain homeostasis when approaching a tipping point. The aim was to identify critical transition periods preceding bipolar mood state changes. METHODS: Participants with a validated bipolar diagnosis were included to a one-year follow-up study, with repeated assessments of the participants' mood. Motor activity was recorded continuously by a wrist-worn actigraph. Participants assessed to have relapsed during follow-up were analyzed. Recognized EWS features were extracted from the motor activity data and analyzed by an unsupervised change point detection algorithm, capable of processing multi-dimensional data and developed to identify when the statistical property of a time series changes. RESULTS: Of 49 participants, four depressive and four hypomanic/manic relapses among six individuals occurred, recording actigraphy for 23.8 ± 0.2 h/day, for 39.8 ± 4.6 days. The algorithm detected change points in the time series and identified critical transition periods spanning 13.5 ± 7.2 days. For depressions 11.4 ± 1.8, and hypomania/mania 15.6 ± 10.2 days. CONCLUSION: The change point detection algorithm seems capable of recognizing impending mood episodes in continuous flowing data streams. Hence, we present an innovative method for forecasting approaching relapses to improve the clinical management of bipolar disorder.
ABSTRACT
PURPOSE: To explore clients' experiences of receiving job support from employment specialists (ESs) working with individual placement and support (IPS) in Norway. IPS is developed to help people with severe mental illness (SMI) into competitive employment as an integral component of mental health services. METHODS: Using a hermeneutic phenomenological methodology, this study comprises individual semi-structured interviews with ten participants engaged in IPS at two districts psychiatric centers. Data analysis was conducted according to systematic text condensation. RESULTS: Three themes emerged: (1) ES-a door opener? (2) Striving to sidestep a "spider web" of triggers at and away from work; and (3) Calling for a safer route. CONCLUSION: This study highlights the importance of ESs offering IPS clients' opportunities to try out diverse jobs and focusing more on assessing the work environment in the jobs they place people into. Our findings imply that ESs should spend more time on building a good working alliance with both clients and employers, and pay more attention on understanding individuals' vocational capacities and support needs at the worksite. The ES training should focus not simply on the technical processes of job development and placement, but more directly on empowering clients to stay focused on their vocational ambitions and prospects. The salutogenic model of health can help ESs to analyze whether clients experience workplaces as meaningful, manageable, and comprehensible.