Violent criminal behavior in the context of bipolar disorder: Systematic review and meta-analysis

A Systematic Review of Interpersonal Violence Perpetration and Victimization Risk Examined Within Single Study Cohorts, Including in Relation to Mental Illness

Rates of both violent victimization and violence perpetration are known to be elevated among individuals with mental illness compared with those in the general population, though the relative risk of each outcome is less well established. In this systematic review, PubMed, Embase, Web of Science, PsycINFO, and Criminal Justice Abstracts were searched for articles published any time before October 2021 that reported the prevalence or incidence of both violent victimization and perpetration. We performed two searches to identify studies using samples or cohorts of (1) persons with mental illnesses and (2) persons in the general population. A total of 25 studies (9 examining persons with mental illnesses, 13 examining persons in the general population, and 3 examining both sample/cohort types) were identified and data was extracted to describe the type and size of cohort or sample, definitions and terminology (i.e., mental illness, violence victimization, violence perpetration), data source(s), observation period, prevalence/incidence of victimization, and prevalence/incidence of perpetration. The Joanna Briggs Institute Critical Appraisal Checklist for Studies Reporting Prevalence Data was used to conduct a quality assessment of all included studies. Due to marked study heterogeneity, results were presented using a narrative synthesis approach. Across studies, findings were mixed, and the methodological approaches varied greatly. Broadly, the review provides evidence for (1) higher rates of victimization than perpetration for both individuals with mental illness and those in the general population and (2) higher rates of both victimization and perpetration for those with mental illness compared to those in the general population.

Beyond clinical outcomes: Case control study of the role of race in disruptive life events for people with serious mental illness

OBJECTIVE

To understand how race and serious mental illness (SMI) interact for disruptive life events defined as financial (bankruptcy and judgement filings), and non-financial (arrests).

METHODS

Patients were adults with schizophrenia (SCZ; N = 16,159) or bipolar I disorder (BPI; N = 30,008) matched 1:1 to patients without SMI (non-SMI) from health systems in Michigan and Southern California during 1/1/2007 through 12/31/2018. The main exposure was self-reported race, and the outcome was disruptive life events aggregated by Transunion. We hypothesized that Black patients with SCZ or BPI would be the most likely to experience a disruptive life event when compared to Black patients without SMI, and all White or Asian patients regardless of mental illness.

RESULTS

Black patients with SCZ had the least likelihood (37% lower) and Asian patients with BPI had the greatest likelihood (2.25 times higher) of experiencing a financial disruptive life event among all patients in the study. There was no interaction of race with either SCZ or BPI for experiencing an arrest. The findings did not support our hypotheses for patients with SCZ and partially supported them for patients with BPI.

CONCLUSIONS

Clinical initiatives to assess social determinants of health should consider a focus on Asian patients with BPI.

Assessment of Disruptive Life Events for Individuals Diagnosed With Schizophrenia or Bipolar I Disorder Using Data From a Consumer Credit Reporting Agency

Importance

There is a dearth of population-level data on major disruptive life events (defined here as arrests by a legal authority, address changes, bankruptcy, lien, and judgment filings) for patients with bipolar I disorder (BPI) or schizophrenia, which has limited studies on mental health and treatment outcomes.

Objective

To conduct a population-level study on disruptive life events by using publicly available data on disruptive life events, aggregated by a consumer credit reporting agency in conjunction with electronic health record (EHR) data.

Design, Setting, and Participants

This study used EHR data from 2 large, integrated health care systems, Kaiser Permanente Southern California and Henry Ford Health. Cohorts of patients diagnosed from 2007 to 2019 with BPI or schizophrenia were matched 1:1 by age at analysis, age at diagnosis (if applicable), sex, race and ethnicity, and Medicaid status to (1) an active comparison group with diagnoses of major depressive disorder (MDD) and (2) a general health (GH) cohort without diagnoses of BPI, schizophrenia, or MDD. Patients with diagnoses of BPI or schizophrenia and their respective comparison cohorts were matched to public records data aggregated by a consumer credit reporting agency (98% match rate). Analysis took place between November 2020 and December 2022.

Main Outcomes and Measures

The differences in the occurrence of disruptive life events among patients with BPI or schizophrenia and their comparison groups.

Results

Of 46 167 patients, 30 008 (65%) had BPI (mean [SD] age, 42.6 [14.2] years) and 16 159 (35%) had schizophrenia (mean [SD], 41.4 [15.1] years). The majoriy of patients were White (30 167 [65%]). In addition, 18 500 patients with BPI (62%) and 6552 patients with schizophrenia (41%) were female. Patients with BPI were more likely to change addresses than patients in either comparison cohort (with the incidence ratio being as high as 1.25 [95% CI, 1.23-1.28]) when compared with GH cohort. Patients with BPI were also more likely to experience any of the financial disruptive life events with odds ratio ranging from 1.15 [95% CI, 1.07-1.24] to 1.50 [95% CI, 1.42-1.58]). The largest differences in disruptive life events were seen in arrests of patients with either BPI or schizophrenia compared with GH peers (3.27 [95% CI, 2.84-3.78] and 3.04 [95% CI, 2.57-3.59], respectively). Patients with schizophrenia had fewer address changes and were less likely to experience a financial event than their matched comparison cohorts.

Conclusions and Relevance

This study demonstrated that data aggregated by a consumer credit reporting agency can support population-level studies on disruptive life events among patients with BPI or schizophrenia.

Undetermined predominant polarity in a cohort of bipolar disorder patients: Prevalent, severe, and overlooked

OBJECTIVES

Predominant polarity (PP) is a concept used to define patients with bipolar disorder (BD) as presenting a tendency to manifest depressive (DPP) or manic (MPP) episodes. Still, the high percentage of patients with an undetermined PP (UPP), has been overlooked in most studies. Thus, we aimed to study UPP and outline its socio-demographic, clinical, and treatment-related features.

METHODS

Patients were recruited from a BD specialized unit. The sample was divided into three groups according to PP and socio-demographic and clinical variables were compared. Significant variables at univariate comparisons were included in multivariate logistic regression with UPP as the dependent variable.

RESULTS

A total of 708 BD patients were included, of which 437 with UPP (61.7%). UPP was associated with a higher number of affective relapses, when compared with DPP or MPP (χ2= 28.704, p<0.001). Mixed episodes (OR=1.398; CI=1.118-1.749), aggressive behaviour (OR=1.861; CI=1.190-2.913), seasonality (OR=2.025; CI= 1.289-3.501) and treatment with lamotrigine (OR= 2.101; CI=1.244-3.550) were significantly associated with UPP at the logistic regression.

LIMITATIONS

Recall bias may have occurred due to mixed episode diagnostic criteria change over the years. No data on the patients' follow-up has been reported on predominant polarity changes.

CONCLUSIONS

UPP is associated with a higher number of relapses, and different clinical variables related to a severe course of illness. Considering PP in patients with BD may guide the choice for differential treatment approaches having an impact on BD course of illness and patients' prognosis and recovery.

"Do depressive and manic symptoms differentially impact on functioning in acute depression? Results from a large, cross-sectional study"

BACKGROUND

Diagnostic criteria for a major depressive episode capture heterogeneous presentations across unipolar (UD) and bipolar (BD) and first-onset (FDE) depression. We evaluated the contribution of each depressive and (hypo)manic symptom to worse functioning in UD/BD/FDE subgroups.

METHODS

A post-hoc analysis of the BRIDGE-II-Mix study. Acutely depressed patients were stratified into UD, BD and FDE. Each (hypo)manic or depressive symptom was included in a diagnosis-specific logistic regression model with functioning as dependent variable. Better/worse functioning was set with median diagnosis-specific GAF scores cutoffs. All p values were two-tailed. Statistical significance was set at p < 0.05.

RESULTS

A total of 2768/2811 depressed individuals were enrolled. In BD (N = 716), "recurrent thoughts of death" (OR 2.48, p < 0.0001) and "feelings of worthlessness" (OR 2.28, p < 0.0001) among depressive symptoms, "aggressiveness" (OR 1.67, p = 0.022) as the unique (hypo)manic symptom, significantly contributed to worse functioning. In UD (N = 1357), "depressed mood" (OR 5.6, p = 0.031) and "diminished interest or pleasure" (OR 4.77, p < 0.0001) among depressive, "grandiosity" (OR 3.5, p = 0.014) among (hypo)manic symptoms, most significantly contributed to worse functioning. In FDE (N = 677) "recurrent thoughts of death" (OR 1.99, p < 0.0001) and "insomnia/hypersomnia" (OR 1.88, p = 0.039) among depressive, "grandiosity" (OR 5.98, p = 0.038) as (hypo)manic symptoms significantly contributed to worse functioning.

LIMITATIONS

The post-hoc and cross-sectional design do not allow for prognostic or causal inferences.

CONCLUSIONS

Key depressive and (hypo)manic symptoms distinctively associate with worse functional outcome in acute depression, with differential diagnostic-specific magnitude of effect. Core depressive symptoms are associated with worse functioning in unipolar depression, but not in bipolar or first-episode depression.