Investigating gender differences in quality of life and social support in patients with severe mental illnesses.

BACKGROUND: Severe mental illnesses (SMIs), including schizophrenia and bipolar disorder affect patients significantly. Gender has been identified as a key factor influencing the experience of SMIs with notable disparities in prevalence, symptoms, and treatment outcomes. Additionally, the quality of life (QoL) and social support for patients with SMIs can vary based on gender. AIMS: This study examined gender differences in QoL and social support of patients with SMIs. METHOD: Participants include 170 outpatients with schizophrenia and bipolar disorder at Shafa Hospital (2021). QoL and social support were assessed using World Health Organization QoL (WHOQOL-BREF) questionnaire and Medical Outcomes Study Social Support Survey (MOS-SSS), respectively. Group differences were analyzed using t-test or Mann-Whitney U test, and two-way multivariate analyses of variance explored the effect of gender and disease type. RESULTS: It was indicated that females with schizophrenia reported higher QoL than males, but the opposite was observed for bipolar disorder. Gender differences in social support were not significant among schizophrenia patients, nor between the two patient groups. However, women with bipolar disorder and multiple hospitalizations experienced lower social support and QoL compared to men. Additionally, more hospitalizations were associated with decreased QoL in both genders with schizophrenia. CONCLUSIONS: Findings suggest the need for gender- specific interventions and support policies to enhance QoL and social support in patients with SMI.

The association between outpatient continuation/maintenance electroconvulsive therapy, readmission risk and total direct cost in patients with depressive, bipolar and psychotic disorders: A naturalistic retrospective cohort study.

BACKGROUND: The transdiagnostic effect of continuation/maintenance ECT (CM-ECT) across mood and psychotic disorders on hospital psychiatric readmission risk and total direct cost remains unclear. METHODS: A naturalistic retrospective analysis of 540 patients who received inpatient acute ECT treatment from May 2017 to Mar 2021 in a tertiary psychiatric institution. Patients were assessed with validated clinical rating scales pre-ECT and after the first 6 treatments of a course of inpatient acute ECT. After discharge, patients who continued with CM-ECT were compared with those not receiving CM-ECT using survival analysis of hospital readmission. Total direct cost (hospitalisation and ECT treatment cost) was also analysed. All patients were subjected to a standard post-discharge monitoring program with case managers checking in on the patients regularly after discharge and ensuring they were given an outpatient appointment within a month of discharge. RESULTS: Both cohorts had significant improvement in their rating scales scores after their first six 6 sessions of inpatient acute ECT. Patients who continued with CM-ECT after completing their inpatient acute ECT (mean number of acute ECT: N = 9.9, SD 5.3), had a significantly lower risk of readmission [adjusted hazard ratio of 0.68 (95 % CI: 0.49-0.94, p = 0.020)]. Patients who received CM-ECT also had a significantly lower average total direct cost compared to those who did not (SGD$35,259 vs SGD$61,337). For patients with mood disorders, the CM-ECT group had a significantly lower inpatient ECT cost, hospitalisation cost and total direct costs compared to those without CM-ECT. LIMITATIONS: The naturalistic study cannot prove a causal relationship between CM-ECT and reduced readmission and lower healthcare costs. CONCLUSION: CM-ECT is associated with lower readmission risks and lower total direct healthcare costs for the treatment of mood and psychotic disorders, especially for mood disorders.

The effectiveness of a primary care-based collaborative care model to improve quality of life in people with severe mental illness: PARTNERS2 cluster randomised controlled trial.

BACKGROUND: Individuals living with severe mental illness can have significant emotional, physical and social challenges. Collaborative care combines clinical and organisational components. AIMS: We tested whether a primary care-based collaborative care model (PARTNERS) would improve quality of life for people with diagnoses of schizophrenia, bipolar disorder or other psychoses, compared with usual care. METHOD: We conducted a general practice-based, cluster randomised controlled superiority trial. Practices were recruited from four English regions and allocated (1:1) to intervention or control. Individuals receiving limited input in secondary care or who were under primary care only were eligible. The 12-month PARTNERS intervention incorporated person-centred coaching support and liaison work. The primary outcome was quality of life as measured by the Manchester Short Assessment of Quality of Life (MANSA). RESULTS: We allocated 39 general practices, with 198 participants, to the PARTNERS intervention (20 practices, 116 participants) or control (19 practices, 82 participants). Primary outcome data were available for 99 (85.3%) intervention and 71 (86.6%) control participants. Mean change in overall MANSA score did not differ between the groups (intervention: 0.25, s.d. 0.73; control: 0.21, s.d. 0.86; estimated fully adjusted between-group difference 0.03, 95% CI -0.25 to 0.31; P = 0.819). Acute mental health episodes (safety outcome) included three crises in the intervention group and four in the control group. CONCLUSIONS: There was no evidence of a difference in quality of life, as measured with the MANSA, between those receiving the PARTNERS intervention and usual care. Shifting care to primary care was not associated with increased adverse outcomes.

Functional assessment short test (FAST): Self-administration in outpatient mental health settings.

The Functional Assessment Short Test (FAST) is a clinician-administered assessment scale of psychosocial dysfunction across various domains typically impacted in individuals with bipolar disorder. The FAST is formally validated as a clinician-administered measure, but support for self-administration would allow its wider use. Therefore, this study aimed to determine whether the FAST could reliably serve as a self-report measure in individuals seeking mental health treatment. Participants completed both the self-report and clinician-administered versions of the FAST as part of their routine outpatient clinical care at the Bipolar Disorders Clinic at The University of Texas Health Austin (UTHA). We investigated correlations between self-report and clinician-administered FAST scores. There were significant positive correlations between self-report and clinician-administered scores in a diverse group of 84 individuals undergoing outpatient mental health treatment (Total FAST scores rS = 0.75; p < .001). These findings support using the FAST as a self-report scale, further increasing its utility to measure functional disability in mental health conditions such as bipolar disorder. Self-report application will increase the utility of the FAST in busy clinical workflows and, therefore, contribute to a more comprehensive clinical assessment of recovery and spur interventions that improve psychosocial functioning and quality of life.

The financial situation before and after first-time psychiatric in-patient diagnosis of schizophrenia spectrum, bipolar, and major depressive disorder.

Schizophrenia spectrum, bipolar, and major depressive disorders are severe mental illnesses (SMIs) that not only entail great suffering for those affected but also major societal costs. In this study, I use administrative register data to provide a detailed picture of the financial situation of people with SMI in Sweden during a period of ±10 years around first-time psychiatric in-patient diagnosis of schizophrenia spectrum, bipolar, and major depressive disorders. Receiving a diagnosis was associated with a considerable drop in earnings, which was largely compensated for by social transfers: mainly sickness and disability insurance. However, there were also large and increasing pre-diagnosis earnings gaps, relative to matched comparison groups, especially among those with schizophrenia spectrum disorders. These gaps were to a lesser extent compensated for by social transfers. Consequently, there were permanent and increasing - due to lost earnings growth - income differentials. Hence, findings in previous studies are confirmed: even in an advanced welfare state, people with SMI - especially those with schizophrenia - have an extremely weak position on the labour market and an equally difficult financial situation.

Clinical assessment of impulsiveness and defence mechanisms in young patients with mood disorders in a two-year prospective study.

AIM: There have been limited prospective investigations of early clinical markers involved in mood regulation and diagnosis change in young patients. This study aimed to evaluate the changes in impulsivity and defence mechanisms in patients with major depressive disorder (MDD) and bipolar disorder (BD) with acute symptoms and remission compared to healthy controls (HC), and possible psychological predictors of diagnosis conversion. METHODS: Seventy-nine young MDD or BD patients and 40 HC were enrolled in a two-year prospective study. A comprehensive clinical interview focused on clinical and psychological evaluation during follow-up visits. The severity of depressive symptoms was evaluated using the Hamilton Depression Rating Scale (HDRS-17), whilst the Young Mania Rating Scale (YMRS) was used for hypo/manic symptoms during each control visit. All patients completed the Defence Style Questionnaire (DSQ-40) and Barratt Impulsiveness Scale (BIS-11). RESULTS: Patients used more immature defences, and had significantly higher total impulsivity scores than controls. BD patients had elevated motor and non-planning impulsivity compared with HC and MDD subjects. Total and non-planning impulsiveness remained elevated in euthymia in BD and MDD compared to HC. There were no statistically significant differences in total defence styles and impulsiveness scores at baseline vs. euthymia in MDD or BD patients groups. Significantly higher dissociation scores at baseline discriminated depressive patients who convert to BD in their diagnosis. CONCLUSIONS: Patients with acute mood symptoms used more frequent immature defences and had significantly higher total impulsivity scores than healthy persons. A lack of differences in total defence styles and impulsiveness between patients with acute symptoms and after reaching euthymia in both MDD and BD groups indicates that they are independent of disease status. Dissociation defence mechanisms may be an early diagnostic indicator of BD.

Negative mood states as a correlate of cognitive performance and self-assessment of cognitive performance in bipolar disorder versus schizophrenia.

INTRODUCTION: Mood states have been reported to manifest a cross-sectional correlation with self-assessment accuracy across functional domains and psychiatric conditions. Ecological momentary assessment (EMA) provides a strategy to examine the momentary course and correlates of mood states. This study tested the association of moods assessed longitudinally with accuracy of immediate self-assessments of cognitive test performance in participants with schizophrenia and bipolar disorder. METHODS: 240 well-diagnosed participants with schizophrenia and bipolar disorder completed a subset of tests from the MATRICS Consensus Cognitive Battery and an immediate self-assessment of cognitive performance. Differences between actual and self-reported performance were used to index the accuracy of self-assessment. Daily smartphone EMA, 3× per day for 30 days, sampled participants´ momentary moods (sad, happy, relaxed, anxious), aggregated into positive affect and negative affect (NA). RESULTS: Bipolar participants had better cognitive performance, but both samples had equivalent mis-estimation. Repeated-measures analyses found that NA did not manifest significant variability over time either between or within participants in the two diagnostic groups. Within-group analyses found that higher average NA was associated with greater mis-estimation and poorer cognitive performance in participants with bipolar disorder, but not in those with schizophrenia. CONCLUSION: Negative moods had a significant association with impairments in self-assessment of cognitive performance in participants with bipolar disorder. Our study did not confirm previous cross-sectional findings of more accurate self-assessment associated with greater NA in schizophrenia. These findings suggest that cross-sectional assessments, particularly self-reports, may lead to different results than aggregated data from longitudinal evaluations.

Cognitive reserve in patients with mood disorders: Validation study of the Chinese version of the cognitive reserve assessment scale in health.

BACKGROUND: Cognitive reserve (CR) is closely associated with cognitive and functional outcome, disease severity, progression and prognosis in psychiatric patients; however, it has not been extensively tested in mood disorders. This study examined the psychometric properties of the Cognitive Reserve Assessment Scale in Health (CRASH) in mood disorder patients. METHODS: Altogether 166 subjects were recruited, 44 with major depressive disorder (MDD), 64 with bipolar disorder (BD), and 58 healthy controls. CR was assessed using the CRASH and the Cognitive Reserve Questionnaire (CRQ). RESULTS: Internal consistency (Cronbach's alpha) was 0.779 for the CRASH. The Receiver Operating Characteristic (ROC) curve analysis revealed an area under the ROC curve (AUC) value of 0.73 (95 % CI: 0.647-0.809). The optimal cut-off score of 51 generated the best combination of sensitivity (0.78) and specificity (0.43) for discriminating between patients with mood disorders and healthy controls. The CRASH score was highly correlated with the CRQ score in both mood disorder patients (rs = 0.586, P < 0.001) and healthy controls (rs = 0.627, P < 0.001), indicating acceptable convergent validity for the CRASH. Within the mood disorder sample, the CRASH score was associated with functional outcomes (FAST: rs = -0.243, P = 0.011). CONCLUSIONS: The CRASH is a useful tool to measure CR in mood disorder with acceptable psychometric properties and could be used in both research and clinical practice.

The Mood Disorder Assessment Schedule: Initial validation of a new measure for early identification of bipolar spectrum disorders in inpatient adolescents.

Due to the significant impairment associated with subthreshold bipolar symptomatology and the harmful effects of delayed diagnosis, there is a great need for diagnostic tools that can facilitate early identification of bipolar spectrum disorders. The Mood Disorder Assessment Schedule (MDAS) is a newly developed measure that focuses on autonomous changes in mood and energy, a key indicator of bipolar spectrum problems which is not included in current diagnostic tools for bipolar disorders. The current study tested the ability of the MDAS to identify individuals at risk for bipolar spectrum disorders. In a cross-sectional sample of 396 inpatient adolescents, the MDAS identified a group of individuals with several bipolar spectrum disorder (BSD) indicators, including greater manic and depressive symptoms, affective lability, suicidal behavior, adverse reactions to antidepressants, and a family history of bipolar disorder and suicidal behavior. When compared to a standard diagnostic interview for bipolar disorders (i.e., Kiddie Schedule for Affective Disorders and Schizophrenia [KSADS]), the MDAS yielded stronger clinical utility in its ability to identify individuals with BSD indicators. Therefore, the MDAS appears to be a promising diagnostic tool for identifying adolescents at risk for BSDs and may help facilitate earlier diagnosis and prevent harmful effects of improper treatment.

Assessment of the spectrum of depression and bipolarity in patients with type 1 diabetes.

AIMS: The aim of the study was to check the prevalence of unipolarity (depression), bipolarity, as well as the quality of sleep and temperament traits in patients with type 1 diabetes (T1DM) who are provided with optimal conditions of diabetes care and to identify possible risk factors connected with affective traits. MATERIALS AND METHODS: Out of the 107 T1DM patients, 78 (54 females, 24 males) were included for the analysis (HbA1c [%] 7.11 ± 1.0, BMI [kg/m2 ] 25.3 ± 5.6; Years of disease duration [N] 13.7 ± 8.3). The patients filled in a set of questionnaires during their regular visit to the outpatient clinic. Three patients from the whole group were on intensive insulin therapy with Multiple Daily Injections (MDI) and Self-Monitoring of Blood Glucose (SMBG), all the rest were on various types of personal insulin pumps (years on insulin pump [N] 9.1 ± 4.5). All the patients were on regular diabetologist care, with regular visits in a Centre for Advanced Technologies in Diabetes (at least every 6 months). RESULTS: In QIDS-S (full explanation and abbreviation 26 patients (33.8%) were screened positive for depression, in PHQ (full explanation and ab 57.7% of the patients (45 patients) had symptoms of depression (age was negatively correlated with PHQ score [r = -0.26; p = 0.023]). In CES-D 16 (20%) of the patients assessed their present affect as depressed. None of the analysed clinical variables correlated with depression scores. In the Mood Disorder Questionnaire (MDQ), 16 patients reported having symptoms of bipolarity (20.5% vs. 79.5%). Hypomania Checklist (HCL) analysis indicated 10 patients with bipolar traits (>14) (14.9% vs. 85.1%). None of the analysed clinical variables correlated with HCL results. 11.5% of patients were indicated to be of morning type. Morningness was more often seen in younger patients (r = 0.39; p = 0.001). As many as 46.6% declared that they had poor sleep quality. The temperament traits analysis correlated with clinical parameters: Cyclothymic temperament trait was negatively correlated with age (r = -0.30; p = 0.007) and positively with HbA1c level (r = 0.30; p = 0.025). Hyperthymic temperament was positively correlated with (BMI r = 0.28; p = 0.016). Quality of sleep was highly correlated with depressive symptoms CESD (r = 0.61, p = 0.001), PHQ Score (r = 0.62; p = 0.001), QISD (r = 0.68; p = 0.001) and bipolarity MDQ (p = 0.50, p = 0.001) and HCL (r = 0.42, p = 0.001). In addition, QIDS was shown to be correlated with the following features of temperament: depressive factor (r = 0.41; p = 0.001), irritable factor (r = 0.53; p = 0.001), cyclothymic factor (r = 0.59; p = 0.001), anxious factor (r = 0.58, p = 0.001). CONCLUSIONS: The prevalence of affective disorders and poor sleep quality in the examined T1DM patients was much higher than in the general population. Even if the patients have in general good glycaemic control, their mental health condition should not be neglected. Well organised cooperation between patients, diabetologists, psychiatrists and psychotherapists is needed (Clinical Trials Identifier: NCT04616391).

The Brief Assessment of Cognition in Affective Disorders - Novel Tool Is the Neuropsychological Assessment in Mood Disorders - Polish Translation.

Mood disorders are chronic disorders accompanied by cognitive impairment. They impair the adaptability and daily functioning of patients, also during remission and justify implementing pharmacological treatment and psychotherapeutic interactions in these patients to improve their quality of life. The recommended method for assessing the charcter of cognitive deficits in affective disorders is the BAC-A (Brief Assessment of Cognition In Affective Disorders) test battery. This scale is a short, simple instrument of the "paper-and-pencil test" type, based on the BAC (Brief Assessment of Cognition) inventory and the Short Scale for Assessment of Cognitive Functions in Schizophrenia (BAC-S). The BAC-A consists of eight subtests measuring: verbal memory and learning, affective control, working memory, motor functions, verbal fluency, executive functions. This paper presents the Polish version of the BAC-A along with instructions about its use and interpretation. The BAC-A scale is a method designed to monitor the cognitive functioning of people with mood disorders, enabling early detection of existing deficits to improve the effectiveness of the diagnostic and treatment process.

Assessment of the validity and feasibility of a novel virtual reality test of emotion regulation in patients with bipolar disorder and their unaffected relatives.

BACKGROUND: Emotion dysregulation has been suggested as an endophenotype of bipolar disorder (BD). Neuroimaging studies show aberrant neural activity during emotion regulation in remitted patients with BD and their unaffected first-degree relatives (UR) compared to healthy controls (HC). However, behavioural studies produce conflicting - generally negative findings - possibly due to limited sensitivity and ecological validity of current behavioural paradigms. METHODS: This study aimed to explore emotion regulation in BD (n = 30) and UR (n = 26) relative to HC (n = 47) by using a novel emotion regulation task in virtual reality (VR). Participants were instructed to either react naturally to, or dampen, their emotional response to highly positive or highly negative scenarios presented in first-person 360-degree spherically camera-recorded VR environments. Participants also completed a more traditional computerised task of emotion regulation for comparison purposes. RESULTS: Patients with BD exhibited difficulties with down-regulating their negative emotions in the VR paradigm compared to HC and UR (ps ≤ .04), whereas UR did not differ from HC (p = .97). There was no emotion regulation difference between groups in the more traditional computerised task (ps ≥ .40). LIMITATIONS: The small sample size limits generalisability. CONCLUSIONS: The results suggest trait-related reduced ability to down-regulate negative emotions in BD patients compared to HC in the VR paradigm, but not in the more traditional task of emotion regulation. This may indicate that VR provides a more sensitive measure relative to traditional paradigms. The findings provided no support for aberrant emotional regulation as an endophenotype of BD given the normal emotion regulation performance in UR.

Sexual dysfunction among males and females with bipolar disorder and healthy subjects: The burden of illness severity.

OBJECTIVES: Sexual dysfunction has wide-ranging impacts on the person's functioning and quality of life, being associated with higher severity of psychiatric illnesses and poor therapeutic response. Given the paucity of data on this topic in bipolar disorder (BD), we investigated sexual functioning among males and females with BD and healthy controls (HCs) as well as whether illness severity markers and subthreshold mood symptoms were associated with sexual dysfunctions in BD patients. METHODS: The study included 80 BD outpatients and 70 HCs. Sexual functioning was evaluated using the validated, gender-specific Changes in Sexual Functioning Questionnaire (CSFQ-14). RESULTS: BD patients had a significantly poorer sexual functioning than HCs (p < 0.00001). The odds of sexual dysfunction doubled given a one-unit increase in the number of suicide attempts (adjusted OR = 2.01, 95% CI:1.23-3.55; p < 0.01) and increased by 60% for every additional hospitalization (p < 0.05). Greater illness duration was associated with arousal/orgasmic (p < 0.05) and overall sexual dysfunctions (p < 0.01). BD patients with more mixed or (hypo)manic episodes had a lower likelihood of libido loss and arousal/orgasmic disturbances (p < 0.01), respectively. Higher levels of subthreshold depressive symptoms increased by 20% the odds of sexual interest/frequency dysfunctions (p < 0.05), and up to 60% regarding orgasmic disturbances (p < 0.01). CONCLUSIONS: Sexual functioning may be a useful proxy of illness severity as well as a relevant dimension to more deeply characterize BD patients. Further studies are warranted to replicate our findings, to evaluate temporal associations between sexual dysfunctions and illness severity across the BD mood and treatment spectrums and to explore neurobiological underpinnings of these associations.

The Italian version of the Brief Assessment of Cognition in Affective Disorders: performance of patients with bipolar disorder and healthy controls.

OBJECTIVES: Cognitive deficits in Bipolar Disorder (BD) are significant enough to have an impact on daily functioning. Therefore, appropriate tools must be used to improve our understanding of the nature and severity of cognitive deficits in BD. In this study, we aimed to compare the cognitive profiles of patients with BD and healthy controls (HC) applying the Italian version of the Brief Assessment of Cognition in Affective Disorders (BAC-A). METHODS: This cross-sectional study included 127 patients with BD and 134 HC. The participants' cognitive profiles were evaluated using the Italian version of the BAC-A, which assesses verbal memory, working memory, motor speed, verbal fluency, attention & processing speed, executive functions, and two new measures of affective processing. The BAC-A raw scores were corrected using the normative data for the Italian population. In addition, we explored whether intelligence quotient (IQ) and specific clinical variables would predict the BAC-A affective, non-affective, and total composite scores of patients with BD and HC. RESULTS: HC performed better than patients with BD in all BAC-A subtests (all p < .001), except for subtests of the Affective Interference Test. (p ≥ .05). The effect sizes varied in magnitude and ranged between d = 0.02 and d = 1.27. In patients with BD, lower BAC-A composite scores were predicted by a higher number of hospitalizations. There was a significant association between IQ and BAC-A composite scores in both bipolar patients and HC. CONCLUSIONS: The Italian BAC-A is sensitive to the cognitive impairments of patients with BD in both affective and non-affective cognitive domains.

The mood disorder spectrum vs. schizophrenia decision tree: EDIPHAS research into the childhood and adolescence of 205 patients.

BACKGROUND: The early detection of patients at risk of developing schizophrenia and bipolar disorder, and more broadly mood spectrum disorder, is a public health concern. The phenotypical overlap between the prodromes in these disorders calls for a simultaneous investigation into both illness trajectories. METHOD: This is an epidemiological, retrospective, multicentre, descriptive study conducted in the Grand-Est region of France in order to describe and compare early symptoms in 205 patients: 123 of which were diagnosed with schizophrenia and 82 with bipolar disorder or mood spectrum disorder. Data corresponding to the pre-morbid and prodromal phases, including a timeline of their onset, were studied in child and adolescent psychiatric records via a data grid based on the literature review conducted from birth to 17 years of age. RESULTS: Two distinct trajectories were highlighted. Patients with schizophrenia tended to present more difficulties at each developmental stage, with the emergence of negative and positive behavioural symptoms during adolescence. Patients with mood spectrum disorder, however, were more likely to exhibit anxiety and then mood-related symptoms. Overall, our results corroborate current literature findings and are consistent with the neurodevelopmental process. We succeeded in extracting a decision tree with good predictability based on variables relating to one diagnosis: 77.6% of patients received a well-indexed diagnosis. An atypical profile was observed in future mood spectrum disorder patients as some exhibited numerous positive symptoms alongside more conventional mood-related symptoms. CONCLUSION: The combination of all these data could help promote the early identification of high-risk patients thereby facilitating early prevention and appropriate intervention in order to improve outcomes.

Psychometric instruments for the assessment of depressive symptoms in patients with delusional disorder: A systematic review.

Patients with delusional disorder (DD) are at an increased risk for the development of depressive symptoms. We aimed to examine the literature dealing with assessment tools to assess depressive symptoms in DD. A systematic review was performed by searching PubMed, Scopus and clinicaltrials.gov databases from inception until June 2021 (PRISMA guidelines). From 1863 initial retrieved records, 11 studies were included (N = 715 DD patients). Depressive comorbidity ranged from 20.9% to 53.5%. Seven studies used semistructured/structured interviews: OPCRIT 4.0 (n = 1), Manual for Assessment and Documentation of Psychopathology in Psychiatry (AMDP System) (n = 2), the MINI interview (n = 1), DSM-IV (n = 1), ICD-10 (n = 1); and the Diagnostic Interview Schedule (DIS-R) (n = 1). Seven studies used at least one observer-rated scale: Positive and Negative Syndrome Scale (PANSS)-depressive component (n = 2), Hamilton Rating Scale for Depression (HRSD, n = 3), Montgomery-Asberg Depression Rating Scale (MADRS, n = 1), Clinical Global Impression Scale (CGI, n = 1) and the Bipolar Affective Disorder Dimension Scale (BADDS, n = 1). Assessment scales administered in depressive disorders and schizophrenia are applied to DD. This is the first systematic review exploring the use of assessment tools for depressive symptoms in DD. The use of the MADRS to assess depressive symptoms can be recommended in combination with other clinical scales, for instance, the CGI.

Cognition in older adults with bipolar disorder: An ISBD task force systematic review and meta-analysis based on a comprehensive neuropsychological assessment.

OBJECTIVES: We aim to characterize the cognitive performance in euthymic older adults with bipolar disorder (OABD) through a comprehensive neuropsychological assessment to obtain a detailed neuropsychological profile. METHODS: We conducted a systematic search in MEDLINE/Pubmed, Cochrane, and PsycInfo databases. Original studies assessing cognitive function in OABD (age ≥50 years ) containing, at a minimum, the domains of attention/processing speed, memory, and executive functions were included. A random-effects meta-analysis was conducted to summarize differences between patients and matched controls in each cognitive domain. We also conducted meta-regressions to estimate the impact of clinical and socio-demographic variables on these differences. RESULTS: Eight articles, providing data for 328 euthymic OABD patients and 302 healthy controls, were included in the meta-analysis. OABD showed worse performance in comparison with healthy controls, with large significant effect sizes (Hedge's g from -0.77 to -0.89; p < 0.001) in verbal learning and verbal and visual delayed memory. They also displayed statistically significant deficits, with moderate effect size, in processing speed, working memory, immediate memory, cognitive flexibility, verbal fluency, psychomotor function, executive functions, attention, inhibition, and recognition (Hedge's g from -0.52 to -0.76; p < 0.001), but not in language and visuoconstruction domains. None of the examined variables were associated with these deficits. CONCLUSIONS: Cognitive dysfunction is present in OABD, with important deficits in almost all cognitive domains, especially in the memory domain. Our results highlight the importance of including a routine complete neuropsychological assessment in OABD and also considering therapeutic strategies in OABD.

A Visual Task-Based Assessment of Theory of Mind and Social Perception Within Bipolar Disorder.

ABSTRACT: Evidence suggests that theory of mind (TOM) and social perception (SP) may be impaired within bipolar disorder (BD). However, it remains unclear whether these deficits are facet specific and predictive of functioning. This study assessed the manifestation of TOM and SP in a BD sample. Twenty-six individuals diagnosed with BD and 25 controls were recruited and assessed for TOM, SP, and functioning. Whereas differences were observed regarding functional outcome, differences were not observed regarding social cognitive performance, regardless of facet. Correlations between social cognitive and functional outcome domains were nonsignificant, whereas significant associations were observed between the social cognitive measures. Results suggest that despite functional differences, TOM and SP, independent of facet assessed, seem preserved within the BD sample. Although evidence was not provided supporting the utility of TOM and SP in the prediction of functional outcome, evidence supports the possible dependence of these social cognitive domains on shared underlying processes.

No group differences in Traditional Economics Measures of loss aversion and framing effects in bipolar I disorder.

Bipolar disorder (BD) is associated with impaired decision making, yet few studies have adopted paradigms from behavioral economics to decompose which, if any, aspects of decision making may be impacted. This may be particularly relevant for decision-making processes relevant to known difficulties with emotive dysfunction and corresponding reward dysregulation in BD. Participants with bipolar I disorder (BD; n = 44) and non-psychiatric healthy controls (CTL; n = 28) completed three well-validated behavioral economics decision making tasks via a remote-based survey, including loss aversion and framing effects, that examined sensitivity to probabilities and potential gains and losses in monetary and non-monetary domains. Consistent with past work, we found evidence of moderate loss aversion and framing effects across all participants. No group differences were found in any of the measures of loss aversion or framing effects. We report no group differences between bipolar and non-psychiatric groups with respect to loss aversion and framing effects using a remote-based survey approach. These results provide a framework future studies to explore similar tasks in clinical populations and suggest the context and degree to which decision making is altered in BD may be rooted in a more complex cognitive mechanism that warrants future research.

Relationships between daily mood states and real-time cognitive performance in individuals with bipolar disorder and healthy comparators: A remote ambulatory assessment study.

OBJECTIVE: Neuropsychological impairments are observed in individuals with Bipolar Disorder (BD), yet knowledge of how cognitive deficits unfold in real-time remains limited. Given intraindividual variability in mood observed in people with BD, and the potential for mood and cognition to be mutually influential, we employed ambulatory assessment technologies to examine potential contemporaneous (same survey) and lagged (next survey) relationships of congition and mood. METHODS: Outpatients with BD (n = 46) or no psychiatric disorders (heathy volunteers [HV]; n = 20) completed in-laboratory neurobehavioral assessments and 14 days of smartphone-administered mobile cognitive tests and ratings of affective variables. Linear mixed-effects models were used to analyze real-time relationships between mobile cognitive test performance and mood. RESULTS: On in-laboratory tests, participants with BD showed worse cognitive performance than HVs as well as mild depression severity; mood and cognitive performance were unrelated. On mobile cognitive tests and surveys, participants with BD showed somewhat worse cognitive performance and ratings of lower energy and greater sadness relative to HV participants. Among those with BD, mania and sadness earlier in the day related to worse processing speed and better working memory performance, respectively, on the next survey. In contrast, same survey ratings of greater stress related to better working memory, and greater happiness related to better processing speed. CONCLUSIONS: Real-time assessments of mood and cognition provide incremental information beyond what can be gleaned from laboratory assessments. Understanding how these affect-related changes in processing speed emerge and play out in daily life may provide clinically useful information for treatment planning.