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About 7 million people, 2.8% of US adults, have bipolar disorder (BD). While second-generation antipsychotics (SGA) are indicated as acute and maintenance treatments for BD, therapeutic success requires medication adherence and reported nonadherence estimates to range as high as 60%. Identifying patient risk factors for nonadherence is important for reducing it.The objective of this study was to quantify the associations of risk factors, including social determinants of health, with SGA nonadherence among patients with BD.In this cross-sectional study of 2015-2017 MassHealth Medicaid data, we examined several definitions of adherence and used logistic regression to identify risk factors for nonadherence (medication possession ratio0.8) among all adults aged 18-64 diagnosed with BD who could be followed for 12 months following SGA initiation.Among 5197 patients, the mean (±SD) age was 37.7 (±11.4) years, and 42.3% were men. Almost half (47.7%) of patients were nonadherent to SGAs when measured by medication possession ratio. The prevalence of nonadherence peaked at middle age for men and younger for women. Nonadherence was less common among Massachusetts' Department of Mental Health clients (odds ratio=0.60, 95% confidence limit: 0.48-0.74) and among those who used other psychotropic medications (odds ratios between 0.45 and 0.81); in contrast, increase in neighborhood socioeconomic stress was associated with increased odds of nonadherence.Adherence to SGA treatment is suboptimal among people with BD. Recognizing risk factors, including those related to social determinants of health, can help target interventions to improve adherence for people at high risk and has implications for adherence-based quality measures.

BACKGROUND Upwards of one in seven individuals experience perinatal depression and many individuals cannot access treatment. In response, perinatal depression is increasingly being managed in the obstetric setting. This study aimed to characterize the experiences of clinicians and clinician assistants to inform the extent to which clinician assistants can help address depression in obstetric settings. METHODS This cross-sectional analysis used data from an ongoing cluster randomized control trial: The PRogram In Support of Moms (PRISM). Participants included clinicians (physicians, certified nurse midwives, nurse practitioners) and clinician assistants (medical assistants, nursing assistants). Baseline data regarding practices and attitudes of clinicians and clinician assistants toward addressing depression in the obstetric setting were described. Logistic regressions were used to examine the association of clinician time to complete work and depression management. RESULTS Clinician assistants experienced significantly fewer time constraints than did clinicians. However, having adequate time to complete work was not significantly associated with increased depression management in clinicians. Clinician assistants reported feeling that addressing depression is an important part of their job, despite variation in doing so. CONCLUSION Clinician assistants are interacting with perinatal women extensively and are a vital part of obstetric care workflows. Clinician assistants report that they want to address depression and have time to do so. Thus, clinician assistants may be poised to help address the mental health needs of perinatal individuals.

Background The COVID-19 pandemic has affected mental health and created barriers to healthcare. In this study, we sought to elucidate the pandemic's effects on mental health and access to care for perinatal individuals. Methods This cross-sectional study of individuals in Massachusetts who were pregnant or up to three months postpartum with a history of depressive symptoms examined associations between demographics and psychiatric symptoms (via validated mental health screening instruments) and the COVID-19 pandemic's effects on mental health and access to care. Chi-square associations and multivariate regression models were used. Results Of 163 participants, 80.8% perceived increased symptoms of depression and 88.8% of anxiety due to the pandemic. Positive screens for depression, anxiety, and/or PTSD at time of interview, higher education, and income were associated with increased symptoms of depression and anxiety due to the pandemic. Positive screens for depression, anxiety, and/or PTSD were also associated with perceived changes in access to mental healthcare. Compared to non-Hispanic White participants, participants of color (Black, Asian, Multiracial, and/or Hispanic/Latinx) were more likely to report that the pandemic changed their mental healthcare access (aOR:3.25, 95%CI:1.23, 8.59). Limitations Limitations included study generalizability, given that participants have a history of depressive symptoms, and cross-sectional design. Conclusions The pandemic has increased symptoms of perinatal depression and anxiety and impacted perceived access to care. Self-reported increases in depression and anxiety and changes to healthcare access varied by education, race/ethnicity, income, and positive screens. Understanding these differences is important to address perinatal mental health and provide equitable care.

Background: Individuals with depression have increased nonpsychiatric health care utilization. Associations between depression and utilization have not been studied in perinatal women, despite thei...

Perinatal Psychiatry Access Programs have emerged to help obstetric professionals meet the needs of perinatal individuals with mental health conditions, including bipolar disorder (BD). We elucidate obstetric professionals' perspectives on barriers and facilitators to managing BD in perinatal patients, and how Access Programs may affect these processes.We conducted three focus groups with obstetric professionals, two with- and one without-exposure to an Access Program, the Massachusetts Child Psychiatry Access Program (MCPAP) for Moms. Focus groups discussed experiences, barriers, facilitators, and solutions to caring for perinatal individuals with BD. Qualitative data were coded and analyzed by two independent coders; emergent themes were examined across exposure groups.Thirty-one obstetric professionals (7 without-exposure, 24 with-exposure) participated. Identified themes included: (1) gaps in perinatal BD education; (2) challenges in patient assessment; (3) MCPAP for Moms as a facilitator for addressing BD; and (4) importance of continued outreach and destigmaization to increase care collaboration.Barriers to obstetric professionals accessing adequate mental healthcare for their patients with BD abound. With psychiatric supports in place, it is possible to build obstetric professionals' capacity to address BD. Perinatal Psychiatry Access Programs can facilitate obstetric professionals bridging these gaps in mental health care.

Objective Perinatal depression is a common pregnancy complication and universal screening is recommended. The Practice Readiness to Evaluate and address Perinatal Depression (PREPD) was developed to measure obstetric practice readiness to integrate depression care into workflows. Objectives were to describe: (1) the PREPD; (2) associated characteristics by readiness level; and (3) use of the assessment to measure change. Method The PREPD has four components, each scored to a 16-point maximum: (1) Environmental Scan (10% of PREPD); (2) Depression Detection, Assessment, and Treatment Questionnaire (30%); (3) Depression-related Policies Questionnaire (10%); and (4) Chart Abstraction (50%). Components were weighted and summed for an overall score. Summary and component scores were calculated by patient, practice, and provider. Results Average overall PREPD score was 7.3/16 (range: 4.8–9.9); scores varied between practices. The Environmental Scan averaged 2.0/16 (range: 0–5.2); Detection, Assessment, and Treatment averaged 8.3/16 (range: 3.0–11.5); Chart Abstraction averaged 7.2/16 (range: 5.1–9.6); and Depression-related Policies averaged 10.4/16 (range: 7.5–15). Conclusion We found wide variation in obstetric practices’ readiness to implement interventions for depression; most were minimally prepared. These data may be used to tailor practice intervention goals and as benchmarks with which to measure changes in integration of depression care over time.

Background: Perinatal depression is common, underdiagnosed, and undertreated. Obstetric providers often do not receive training in perinatal depression, despite being the frontline providers for pe...

Purpose of Review COVID-19 is a major concern for the health and wellbeing of individuals worldwide. As COVID-19 cases and deaths continue to increase in the USA, aging Black and Hispanic populations have emerged as especially at-risk for increased exposure to COVID-19 and susceptibility to severe health outcomes. The current review discusses the weathering hypothesis and the influence of social inequality on the identified health disparities. Recent Findings Aging minoritized populations have endured structural and social inequality over the lifecourse. Consequently, these populations experience weathering, a process that results in physiological dysregulation due to stress associated with persistent disadvantage. Through weathering and continued inequity, aging minoritized populations have an increased risk of exposure and poor health outcomes from COVID-19. Summary Current literature and available data suggests that aging minoritized persons experience high rates of COVID-19 morbidity and mortality. The current review hypothesizes and supports that observed disparities are the result of inequalities that especially affect Black and Hispanic populations over the lifecourse. Future efforts to address these disparities should emphasize research that supports governments in identifying at-risk groups, providing accessible COVID-19-related information to those groups, and implementing policy that addresses the structural and social inequities that perpetuate current COVID-19 disparities.

Objective To elicit the perspectives of individuals with a traumatic birth experience on barriers and facilitators to receiving mental health support in the postpartum period. Methods Individuals who experienced a traumatic birth within the last three years (n = 32) completed semi-structured phone interviews about their birth and postpartum experience. The Post-traumatic Stress Disorder Checklist for DSM-V (PCL-5), Patient Health Questionnaire (PHQ-8), and Generalized Anxiety Disorder scale (GAD-7) were administered. Qualitative data was analyzed using a modified grounded theory by three independent coders. Results Among participants, 34.4% screened positive for PTSD, 18.8% for depression, and 34.4% for anxiety. Participants described multi-level barriers that prevented clinicians from recognizing and supporting patients' postpartum mental health needs; those involved lack of communication, education, and resources. Recommendations from participants included that 1) obstetric professionals should acknowledge birth-related trauma experienced by any individual, 2) providers of multiple disciplines need to be integrated into postpartum care, and 3) mental health support may be needed before the ambulatory postpartum visit. Conclusions There are multi-level barriers towards detecting and responding to individuals' mental health needs after a traumatic birth. Obstetric professionals need to use a trauma-informed approach and proactively assess mental health throughout the postpartum period.

The objective of this review is to describe the extent to which (1) obstetric settings are currently screening for mental health and substance use disorders and social determinants of health (SDoH), and (2) screening is followed by systematic approaches for ensuring an adequate response to positive screens. Additionally, clinical and policy implications of current screening practices and recommendations are discussed. Screening for perinatal depression in obstetric settings has increased. Despite their prevalence and negative impact, screening for other mental health and substance use disorders and SDoH is much less common and professional society recommendations are either nonexistent, less consistent, or less prescriptive. To truly address maternal mental health, we need to move beyond focusing solely on depression and address other mental health and substance use disorders and the contextual social determinants in which they occur.

Background Using resting-state functional magnetic resonance imaging (rsfMRI), we previously compared cohorts of bipolar I subjects in a manic state to those in a euthymic state to identify mood state-specific patterns of cortico-amygdala connectivity. Our results suggested that mania is reflected in the disruption of emotion regulation circuits. We sought to replicate this finding in a group of subjects with bipolar disorder imaged longitudinally across states of mania and euthymia Methods We divided our subjects into three groups: 26 subjects imaged in a manic state, 21 subjects imaged in a euthymic state, and 10 subjects imaged longitudinally across both mood states. We measured differences in amygdala connectivity between the mania and euthymia cohorts. We then used these regions of altered connectivity to examine connectivity in the longitudinal bipolar group using a within-subjects design. Results Our findings in the mania vs euthymia cohort comparison were replicated in the longitudinal analysis. Bipolar mania was differentiated from euthymia by decreased connectivity between the amygdala and pre-genual anterior cingulate cortex. Mania was also characterized by increased connectivity between amygdala and the supplemental motor area, a region normally anti-correlated to the amygdala in emotion regulation tasks. Limitations Stringent controls for movement effects limited the number of subjects in the longitudinal sample. Conclusions In this first report of rsfMRI conducted longitudinally across mood states, we find that previously observed between-group differences in amygdala connectivity are also found longitudinally within subjects. These results suggest resting state cortico-amygdala connectivity is a biomarker of mood state in bipolar disorder.

This toolkit provides actionable information, algorithms, and clinical pearls so that obstetric providers and practices can successfully address perinatal mental health conditions.

Bipolar disorder affects 2-8% of pregnant and postpartum women; untreated illness is associated with poor outcomes. This study aimed to describe bipolar disorder screening rates in obstetric settings and associated characteristics.Women were recruited during pregnancy through three months postpartum from 14 obstetric clinics in Massachusetts. The Mood Disorder Questionnaire (MDQ) was used to screen for bipolar disorder; a subset previously diagnosed with bipolar was also examined. Differences in characteristics by screening outcome were tested using chi-square and t-tests.Of 574 participating women, 18.8% screened positive for bipolar disorder. Compared to those with negative, those with positive bipolar screens had 18.5-times the prevalence of positive substance use screens (11.1% vs. 0.6%, p 0.001) and 3.4-times reported feeling they were not receiving adequate psychiatric help (24.0 vs. 7.0%, p 0.001). Less than half of those with positive bipolar screens (42.0%) and 61.3% with pre-existing bipolar reported receiving current psychiatric care.Almost one in five perinatal women screened positive for bipolar disorder. Positive screenings were associated with comorbid substance use and low treatment rates. This study highlights the importance of screening for bipolar disorder during the perinatal period and the need for systematic approaches to ensure adequate assessment and follow-up.ClinicalTrials.gov identifier: NCT02760004.

Background Perinatal depression, the most common pregnancy complication, is associated with negative maternal-offspring outcomes. Despite existence of effective treatments, it is under-recognized and under-treated. Professional organizations recommend universal screening, yet multi-level barriers exist to ensuring effective diagnosis, treatment, and follow-up. Integrating mental health and obstetric care holds significant promise for addressing perinatal depression. The overall study goal is to compare the effectiveness of two active interventions: (1) the Massachusetts Child Psychiatry Access Program (MCPAP) for Moms, a state-wide, population-based program, and (2) the PRogram In Support of Moms (PRISM) which includes MCPAP for Moms plus a proactive, multifaceted, practice-level intervention with intensive implementation support. Methods This study is conducted in two phases: (1) a run-in phase which has been completed and involved practice and patient participant recruitment to demonstrate feasibility for the second phase, and (2) a cluster randomized controlled trial (RCT), which is ongoing, and will compare two active interventions 1:1 with ten Ob/Gyn practices as the unit of randomization. In phase 1, rates of depressive symptoms and other demographic and clinical features among patients were examined to inform practice randomization. Patient participants to be recruited in phase 2 will be followed longitudinally until 13 months postpartum; they will have 3–5 total study visits depending on whether their initial recruitment and interview was at 4–24 or 32–40 weeks gestation, or 1–3 months postpartum. Sampling throughout pregnancy and postpartum will ensure participants with different depressive symptom onset times. Differences in depression symptomatology and treatment participation will be compared between patient participants by intervention arm. Discussion This manuscript describes the full two-phase study protocol. The study design is innovative because it combines effectiveness with implementation research designs and integrates critical components of participatory action research. Our approach assesses the feasibility, acceptance, efficacy, and sustainability of integrating a stepped-care approach to perinatal depression care into ambulatory obstetric settings; an approach that is flexible and can be tailored and adapted to fit unique workflows of real-world practices. Trial registration ClinicalTrials.gov Identifier: NCT02760004, registered prospectively on May 3, 2016. Electronic supplementary material The online version of this article (10.1186/s12884-019-2387-3) contains supplementary material, which is available to authorized users.

A childhood history of attention deficit hyperactivity disorder (ADHD) is common in psychotic disorders, yet prescription stimulants may interact adversely with the physiology of these disorders. Specifically, exposure to stimulants leads to long-term increases in dopamine release. We therefore hypothesized that individuals with psychotic disorders previously exposed to prescription stimulants will have an earlier onset of psychosis. Age of onset of psychosis (AOP) was compared in individuals with and without prior exposure to prescription stimulants while controlling for potential confounding factors. In a sample of 205 patients recruited from an inpatient psychiatric unit, 40% (n = 82) reported use of stimulants prior to the onset of psychosis. Most participants were prescribed stimulants during childhood or adolescence for a diagnosis of ADHD. AOP was significantly earlier in those exposed to stimulants (20.5 vs. 24.6 years stimulants vs. no stimulants, p < 0.001). After controlling for gender, IQ, educational attainment, lifetime history of a cannabis use disorder or other drugs of abuse, and family history of a first-degree relative with psychosis, the association between stimulant exposure and earlier AOP remained significant. There was a significant gender × stimulant interaction with a greater reduction in AOP for females, whereas the smaller effect of stimulant use on AOP in males did not reach statistical significance. In conclusion, individuals with psychotic disorders exposed to prescription stimulants had an earlier onset of psychosis, and this relationship did not appear to be mediated by IQ or cannabis.

Objective Criteria for psychiatric hospitalization have undergone marked changes. Efforts to limit length-of-hospitalization risk greater morbidity at discharge and increased needs for appropriate aftercare. Accordingly, we evaluated factors associated with length of psychiatric hospitalization and aftercare-types. Methods We reviewed medical records of 589 patients with major psychiatric disorders hospitalized in a university-affiliated, not-for-profit psychiatric hospital to identify characteristics associated with length of hospitalization, types of aftercare and insurance coverage, using standard bivariate and multivariate analytical methods. Results Notable factors associated with longer hospitalization included: more highly supervised aftercare, diagnosis of schizophrenia or schizoaffective > affective disorders, longer illnesses, higher antipsychotic doses and more complex drug-treatments at discharge, lower GAF functional status, unemployment, being unmarried, as well as public vs. private insurance. Multivariate modeling sustained association of longer hospitalization with higher antipsychotic doses, more structured aftercare, public insurance, lower GAF scores, and diagnoses of chronic psychotic disorders. Structured aftercare was associated with younger age, fewer years ill, and private insurance, but varied little by diagnosis and was unrelated to ethnicity. Public insurance was associated notably with being unemployed, unmarried, less functional, having a chronic psychotic disorder for more years, and lack of structured aftercare. Conclusions Illness severity and functional impairment may modulate efforts to limit psychiatric hospitalization. Higher-level aftercare was associated with illness and disability factors as well as with private insurance; public insurance was associated with dysfunction, unemployment and chronic illness, as well as longer hospitalization.

Background This study aimed to identify how the activity of large-scale brain networks differs between mood states in bipolar disorder. The authors measured spontaneous brain activity in subjects with bipolar disorder in mania and euthymia and compared these states to a healthy comparison population. Methods 23 subjects with bipolar disorder type I in a manic episode, 24 euthymic bipolar I subjects, and 23 matched healthy comparison (HC) subjects underwent resting state fMRI scans. Using an existing parcellation of the whole brain, we measured functional connectivity between brain regions and identified significant differences between groups. Results In unbiased whole-brain analyses, functional connectivity between parietal, occipital, and frontal nodes within the dorsal attention network (DAN) were significantly greater in mania than euthymia or HC subjects. In the default mode network (DMN), connectivity between dorsal frontal nodes and the rest of the DMN differentiated both mood state and diagnosis. Limitations The bipolar groups were separate cohorts rather than subjects imaged longitudinally across mood states. Conclusions Bipolar mood states are associated with highly significant alterations in connectivity in two large-scale brain networks. These same networks also differentiate bipolar mania and euthymia from a HC population. State related changes in DAN and DMN connectivity suggest a circuit based pathology underlying cognitive dysfunction as well as activity/reactivity in bipolar mania. Altered activities in neural networks may be biomarkers of bipolar disorder diagnosis and mood state that are accessible to neuromodulation and are promising novel targets for scientific investigation and possible clinical intervention.

Background Existing models of the pathophysiology of bipolar disorder posit disruption in neural circuits of emotion regulation and reward processing. However, few fMRI studies have compared regional brain activity and connectivity in different mood states in bipolar disorder to determine if manic symptomatology is reflected in specific circuit abnormalities. The purpose of this study was to test the hypothesis that bipolar mania is associated with altered connectivity between cortical regions thought to regulate subcortical structures such as the amygdala and striatum. Methods 28 subjects with bipolar disorder in a manic state, 24 different bipolar subjects in a euthymic state, and 23 matched healthy comparison subjects underwent resting state fMRI scans. Several cortical and sub-cortical structures implicated in the pathogenesis of bipolar disorder were selected for study. We conducted a whole-brain analysis of functional connectivity of these regions. Results Bipolar mania was differentiated from euthymia by decreased functional connectivity between the amygdala and anterior cingulate cortex (ACC). Mania was also characterized by increased connectivity between amygdala and dorsal frontal cortical structures that are normally anti-correlated in emotion regulation tasks. Limitations Both groups of bipolar subjects were prescribed medications. The study was not longitudinal in design. Conclusions Compared to bipolar subjects in a euthymic state, subjects in the manic state demonstrate disrupted functional connectivity between brain regions involved in the regulation of emotion and the amygdala. This disruption of activity in neural circuits involved in emotion may underlie the emotional dysregulation inherent to a bipolar manic episode.

Background: Efforts to contain costs associated with general medical care include particular efforts for psychiatric disorders. Hospitalization represents the largest component of costs for psychiatric care and there is growing interest in balancing clinical needs against limiting costs of inpatient psychiatric care of patients with severe mental illnesses. This study aimed to evaluate clinical factors associated with actual costs of inpatient psychiatric care. Method: We evaluated a cohort of 589 hospitalized psychiatric patients with severe mental illnesses at a nonprofit, university-affiliated psychiatric hospital for factors associated with annualized total costs of inpatient care over a three-year period, using bivariate and multivariate analyses. Results: As expected, days-hospitalized was the major determinant of total costs of hospital care. In addition, several clinical and treatment factors also were associated significantly and independently with costs in multivariate modeling. These included presence of psychosis, electroconvulsive treatment, specialist consultations, use of multiple antipsychotics or of clozapine, and being discharged to a supervised living arrangement, but not sex, age, marital status, employment, or substance abuse. Discussion: As expected, costs of psychiatric hospitalization were dominated by per-diem charges, but also influenced by other, potentially modifiable treatment factors generally associated with more severe psychotic illnesses. The study is based on actual costs rather than on insurer-reimbursements and a large study-sample, though at a single institution. Specific factors identified encourage focusing on patient characteristics associated with greater costs and redoubled efforts to apply and improve alternative, cost-effective interventions such as partialhospital and intensive outpatient treatment.

Objective We evaluated prevalence and risk factors for metabolic syndrome in inpatients treated with antipsychotics, with or without other psychotropic drugs. Although the literature on metabolic syndrome in psychiatry has expanded in recent years, we seek to elucidate some of the remaining gaps by examining a severely and chronically ill population heavily treated with pharmacological agents. Methods With data from medical records of 589 adults hospitalized at McLean Hospital in 2010 and 2011, we used standard statistical analyses to characterize risks and covariates of metabolic syndrome. Results With prior antipsychotic treatment, prevalence of metabolic syndrome was 29.5%. The syndrome was strongly associated with being overweight (≥25 kg/m2 in 60.1% of subjects), older age, longer treatment-exposure, schizoaffective diagnosis (39.8%), more illness-episodes or hospitalizations, polytherapy, and higher total daily chlorpromazine-equivalent doses, but not sex. Notably, metabolic syndrome risk was greater among young, antipsychotic treated patients (15.5-fold at age ≤25 years). Conclusions The findings extend information on the association of metabolic syndrome with antipsychotic treatment. Metabolic syndrome was found in 30% of antipsychotic-exposed inpatients. Risk was surprisingly high in young persons and after brief treatment-exposure, and psychotropic polytherapy increased risk. Copyright © 2012 John Wiley & Sons, Ltd.

Exposure to traffic-related pollution during childhood has been associated with asthma exacerbation, and asthma incidence. The objective of the Cincinnati Childhood Allergy and Air Pollution Study (CCAAPS) is to determine if the development of allergic and respiratory disease is associated with exposure to diesel engine exhaust particles. A detailed receptor model analyses was undertaken by applying positive matrix factorization (PMF) and UNMIX receptor models to two PM₂.₅ data sets: one consisting of two carbon fractions and the other of eight temperature-resolved carbon fractions. Based on the source profiles resolved from the analyses, markers of traffic-related air pollution were estimated: the elemental carbon attributed to traffic (ECAT) and elemental carbon attributed to diesel vehicle emission (ECAD). Application of UNMIX to the two data sets generated four source factors: combustion related sulfate, traffic, metal processing and soil/crustal. The PMF application generated six source factors derived from analyzing two carbon fractions and seven factors from temperature-resolved eight carbon fractions. The source factors (with source contribution estimates by mass concentrations in parentheses) are: combustion sulfate (46.8%), vegetative burning (15.8%), secondary sulfate (12.9%), diesel vehicle emission (10.9%), metal processing (7.5%), gasoline vehicle emission (5.6%) and soil/crustal (0.7%). Diesel and gasoline vehicle emission sources were separated using eight temperature-resolved organic and elemental carbon fractions. Application of PMF to both datasets also differentiated the sulfate rich source from the vegetative burning source, which are combined in a single factor by UNMIX modeling. Calculated ECAT and ECAD values at different locations indicated that traffic source impacts depend on factors such as traffic volumes, meteorological parameters, and the mode of vehicle operation apart from the proximity of the sites to highways. The difference in ECAT and ECAD, however, was less than one standard deviation. Thus, a cost benefit consideration should be used when deciding on the benefits of an eight or two carbon approach.

We evaluated prevalence and risk factors for metabolic syndrome in inpatients treated with antipsychotics, with or without other psychotropic drugs. Although the literature on metabolic syndrome in psychiatry has expanded in recent years, we seek to elucidate some of the remaining gaps by examining a severely and chronically ill population heavily treated with pharmacological agents.With data from medical records of 589 adults hospitalized at McLean Hospital in 2010 and 2011, we used standard statistical analyses to characterize risks and covariates of metabolic syndrome.With prior antipsychotic treatment, prevalence of metabolic syndrome was 29.5%. The syndrome was strongly associated with being overweight (≥25 kg/m(2) in 60.1% of subjects), older age, longer treatment-exposure, schizoaffective diagnosis (39.8%), more illness-episodes or hospitalizations, polytherapy, and higher total daily chlorpromazine-equivalent doses, but not sex. Notably, metabolic syndrome risk was greater among young, antipsychotic treated patients (15.5-fold at age ≤25 years).The findings extend information on the association of metabolic syndrome with antipsychotic treatment. Metabolic syndrome was found in 30% of antipsychotic-exposed inpatients. Risk was surprisingly high in young persons and after brief treatment-exposure, and psychotropic polytherapy increased risk.

Psychotic disorders (including schizophrenia, schizoaffective disorder, and psychotic bipolar disorder) are devastating illnesses characterized by breakdown in the integration of information processing. Recent advances in neuroimaging allow for the estimation of brain networks on the basis of intrinsic functional connectivity, but the specific network abnormalities in psychotic disorders are poorly understood.To compare intrinsic functional connectivity across the cerebral cortex in patients with schizophrenia spectrum disorders or psychotic bipolar disorder and healthy controls.We studied 100 patients from an academic psychiatric hospital (28 patients with schizophrenia, 32 patients with schizoaffective disorder, and 40 patients with bipolar disorder with psychosis) and 100 healthy controls matched for age, sex, race, handedness, and scan quality from December 2009 to October 2011.Functional connectivity profiles across 122 regions that covered the entire cerebral cortex.Relative to the healthy controls, individuals with a psychotic illness had disruption across several brain networks, with preferential reductions in functional connectivity within the frontoparietal control network (P .05, corrected for family-wise error rate). This functionally defined network includes portions of the dorsolateral prefrontal cortex, posteromedial prefrontal cortex, lateral parietal cortex, and posterior temporal cortex. This effect was seen across diagnoses and persisted after matching patients and controls on the basis of scan quality.Our study results support the view that cortical information processing is disrupted in psychosis and provides new evidence that disruptions within the frontoparietal control network may be a shared feature across both schizophrenia and affective psychosis.