Background

Impulsivity is a prominent feature of bipolar disorder associated with various negative sequelae; moreover, it may be a precursor to shifts in affect or mood, but little is known about its association with affect on a day-to-day timescale. Ecological momentary assessments (a method that captures moment-to-moment ratings of psychological states by repeatedly sampling the same individual) of impulsivity and affect using mobile surveys allow for more nuanced examination of mechanisms of mood and behavior dysregulation. However, few existing studies have validated an ecological momentary assessment of impulsivity in bipolar disorder and examined its time-lagged associations with positive and negative affect. 70 participants with bipolar disorder and 102 healthy comparisons participated in an intensive longitudinal study: they underwent 14 days of ecological momentary assessment data collection annually for 1-4 years. Multiple measures of impulsivity and affect were collected using self-report, behavioral, and ecological momentary assessment modalities; these measures were compared, and levels of impulsivity were compared between bipolar disorder and healthy comparison groups. Time-lagged analyses using daily means explored the next-day predictive relationship of impulsivity on positive/negative affect, and vice versa.

Results

The ecological momentary measure of impulsivity was moderately correlated with the self-report but not behavioral impulsivity measure. Bipolar disorder participants evinced higher self-report, behavioral, and daily impulsivity than healthy comparison participants. Time-lagged analyses revealed a bi-directional association between high impulsivity and high next-day negative (but not positive) affect. Post hoc analyses showed that impulsivity specifically predicted next-day anger and anxiety.

Conclusions

Our multimodal assessment of impulsivity allowed for an examination of the day-to-day course of impulsivity and affect, crucial steps toward understanding the mechanisms of mood symptom and episode onset in bipolar disorder.

Background

Although mental illness accounts for only 4% of aggressive behavior in the general population, there remains a modest association between aggressive behavior and psychotic disorders, particularly in the early stages of the illness. However, little is known about the specific factors associated to this increased risk.

Aims

The present study aims to assess the rates, characteristics and risk factors of aggressive behavior in first episode psychosis patients (FEP).

Method

We conducted a retrospective chart review of 449 FEP patients recruited from an outpatient early psychosis clinic. Aggressive behavior and clinical information were rated based upon information gathered from the chart review of data collected at baseline and after 6 months of follow-up.

Results

Rates of aggressive behavior were 54.3% in FEP patients. Aggressive behavior was significantly associated with higher rates of history of birth complications, neurodevelopmental delays, learning difficulties, alcohol use disorders, and the clinical domain of poverty symptoms. In addition to aggressive behavior, 16.7% of FEP patients exhibited suicidal ideation or behaviors and 11.4% exhibited non-suicidal self-injurious behavior (NSSIB). In contrast to baseline, aggressive behaviors at 6 months follow up were almost entirely absent.

Conclusions

Patients at early stages of psychosis have high rates of aggressive and suicidal behavior prior to contact with clinical services. Neurodevelopmental adversities, alcohol use disorders and poverty symptoms are associated to higher risk of aggression in early psychosis. Participation in early psychosis specialty care resulted in a dramatic reduction in aggressive behavior.

Aim

The trauma-psychosis cycle proposes an interactive relationship between impaired developmental and cognitive trajectory, childhood trauma exposure, and increased risk for psychosis. This study explored how childhood trauma (CT) and atypical development (AD) impact clinical course in an early psychosis cohort.

Methods

A retrospective chart review of behavioural and clinical research data was conducted with individuals ages 12 to 40 (N = 508; 72.4% males) evaluated by an early psychosis program.

Results

CT exposure was associated with earlier onset of full threshold psychosis, more hospitalizations, higher ratings of negative symptoms, and increased likelihood of engaging in suicidal behaviour. AD alone was associated with earlier onset of psychosis symptoms, higher ratings of negative symptoms and greater likelihood of engaging in non-suicidal self-injury. The combination of CT and AD was associated with the earliest symptom onset and poorest psychosocial functioning.

Conclusions

The findings contribute to our understanding of heterogeneity in the early psychosis population and highlight the specific risk factors that could be targets in treatment.

Sleep disturbances are a key feature of bipolar disorder (BD), and poor sleep has been linked to mood symptoms. Recent use of ecological momentary assessment (EMA) has allowed for nuanced exploration of the sleep-mood link; though, the scale and directionality of this relationship is still unclear. Using EMA, actigraphy, and self-reported sleep measures, this study examines the concurrent and predictive relationships between sleep and mood. Participants with BD (n = 56) wore actigraphy devices for up to 14 days and completed validated scales and daily EMA surveys about mood and sleep quality. Linear mixed models were used to examine overall and time-lagged relationships between sleep and mood variables. EMA mood ratings were correlated with validated rating scales for depression, mania, anxiety, and impulsivity. Poor self-reported sleep quality was associated with worse overall ratings of sadness and anger. Worse self-reported sleep quality was associated with greater sadness the following day. Higher daytime impulsivity was associated with worse sleep quality the following night. Exploratory analyses found relationships between worse and more variable mood (sadness, anger, and impulsivity) with worse and more variable sleep that evening (efficiency, WASO, and sleep onset time). The sample size was modest, fairly homogenous, and included mainly euthymic persons with BD. EMA-based assessments of mood and sleep are correlated with validated scale scores and provide novel insight into intra-individual variability. Further work on the complex two-way interactions between sleep and mood is needed to better understand how to improve outcomes in BD.