Bipolar Spectrum Disorders Research Articles

The path from mood symptoms to substance use: A longitudinal examination in individuals with and at risk for bipolar spectrum disorders

BackgroundAdolescent substance use poses a critical public health challenge, intertwined with risk-taking behavior, criminality, functional impairment, and comorbid mental and physical health issues. Adolescents with bipolar spectrum disorders (BSD) exhibit heightened susceptibility to substance use, necessitating a nuanced exploration of the bipolar-substance use relationship. MethodsThis study addressed gaps in the literature by employing a prospective, longitudinal design with 443 Philadelphia-area adolescents, tracking BSD symptoms and substance use. We predicted that BSD symptoms would be associated with increases in substance use, and that these effects would be more pronounced for individuals with a BSD and those with high reward sensitivity. ResultsHypomanic symptoms predicted subsequent substance use, with a stronger association observed in individuals diagnosed with BSD. Contrary to expectations, depressive symptoms did not exhibit a similar relationship. Although the hypothesized moderating role of reward sensitivity was not supported, higher reward sensitivity predicted increased substance use. LimitationsSymptoms and substance use are only captured for the month prior to each session due to the assessment timeline. This highlights the benefits of frequent assessments over a shorter time frame to monitor real-time changes. Alternative classification methods for reward sensitivity, such as brain or behavior-based assessments, might yield different results. ConclusionsThis study's contributions include evaluating substance use broadly, utilizing a longitudinal design for temporal clarity, and shifting the focus from substance use predicting mood symptoms to the inverse. The findings underscore the need for continued exploration of mood symptom predictors of substance use, emphasizing the role of reward sensitivity.

Transcriptomic sex differences in postmortem brain samples from patients with psychiatric disorders.

Many psychiatric disorders exhibit sex differences, but the underlying mechanisms remain poorly understood. We analyzed transcriptomics data from 2160 postmortem adult prefrontal cortex brain samples from the PsychENCODE consortium in a sex-stratified study design. We compared transcriptomics data of postmortem brain samples from patients with schizophrenia (SCZ), bipolar disorder (BD), and autism spectrum disorder (ASD) with transcriptomics data of postmortem control brains from individuals without a known history of psychiatric disease. We found that brain samples from females with SCZ, BD, and ASD showed a higher burden of transcriptomic dysfunction than did brain samples from males with these disorders. This observation was supported by the larger number of differentially expressed genes (DEGs) and a greater magnitude of gene expression changes observed in female versus male brain specimens. In addition, female patient brain samples showed greater overall connectivity dysfunction, defined by a higher proportion of gene coexpression modules with connectivity changes and higher connectivity burden, indicating a greater degree of gene coexpression variability. We identified several gene coexpression modules enriched in sex-biased DEGs and identified genes from a genome-wide association study that were involved in immune and synaptic functions across different brain cell types. We found a number of genes as hubs within these modules, including those encoding SCN2A, FGF14, and C3. Our results suggest that in the context of psychiatric diseases, males and females exhibit different degrees of transcriptomic dysfunction and implicate immune and synaptic-related pathways in these sex differences.

Adherence Rates and Barriers to Second-Generation Antipsychotic Medication Use in Youth with Bipolar Spectrum Disorders Who Have Overweight/Obesity.

Objective: Youth with bipolar spectrum disorders (BSD) are frequently prescribed second-generation antipsychotics (SGAs). Nonadherence to treatment often results in increased mood symptoms and diminished quality of life. We examined SGA adherence rates and adherence barriers among youth who have overweight/obesity and are diagnosed with BSD enrolled in a multisite pragmatic clinical trial. Methods: SGA adherence and adherence barriers at baseline via patient- and caregiver report was assessed. Adherence was defined as taking ≥70% of prescribed SGA doses in the past week. The weighted Kappa statistic was used to measure child-caregiver agreement about adherence rates, barriers, and caregiver assistance. Regression analyses were used to examine associations of caregiver assistance, age, sex, race, insurance status, dosing frequency, and number of concomitant medications with adherence. Barriers to adherence were analyzed separately for youth and their caregivers, using logistic regression to assess associations between informant-reported barriers and informant-reported adherence. Results: Participants included 1485 patients and/or caregivers. At baseline, 88.6% of patients self-reported as adherent; 92.0% of caregivers reported their child was adherent. Concordance between patients and caregivers was moderate (k = 0.42). Approximately, 50% of the sample reported no adherence barriers. Frequently endorsed barriers included forgetting, side effects, being embarrassed to take medications, and preferring to do something else. Concordance between informants regarding adherence barriers was weak (k = 0.05-0.36). Patients and caregivers who did not endorse adherence barriers reported higher adherence than those who endorsed barriers. Male sex and having once daily dosing of medications were associated with lower adherence. Discussion: One-week patient- and caregiver-reported adherence was high in this sample. Half of the sample reported adherence barriers. Most commonly endorsed barriers were forgetting, side effects, being embarrassed, and preferring to do something else. Caregivers and patients have unique perspectives regarding adherence barriers. Understanding and addressing treatment barriers in clinical practice may facilitate adherence.

Combining predominant polarity and affective spectrum concepts in bipolar disorder: towards a novel theoretical and clinical perspective

This is an overview of recent advances on predominant polarity conceptualization in bipolar disorder (BD). Current evidence on its operationalized definitions, possible contextualization within the affective spectrum, along with its epidemiological impact, and treatment implications, are summarized. Predominant polarity identifies three subgroups of patients with BD according to their mood recurrencies: (i) those with depressive or (ii) manic predominance as well as (iii) patients without any preponderance (‘nuclear’ type). A predominant polarity can be identified in approximately half of patients, with similar rates for depressive and manic predominance. Different factors may influence the predominant polarity, including affective temperaments. More generally, affective disorders should be considered as existing on a spectrum ranging from depressive to manic features, also accounting for disorders with ‘ultrapredominant’ polarity, i.e., unipolar depression and mania. While mixed findings emerge on its utility in clinical practice, it is likely that the construct of predominant polarity, in place of conventional differentiation between BD-I and BD-II, may be useful to clarify the natural history of the disorder and select the most appropriate interventions. The conceptualization of predominant polarity seems to reconcile previous theoretical views of both BD and affective spectrum into a novel perspective. It may provide useful information to clinicians for the early identification of possible trajectories of BD and thus guide them when selecting interventions for maintenance treatment. However, further research is needed to clarify the specific role of predominant polarity as a key determinant of BD course, outcome, and treatment response.

406. Cerebellar Dysconnectivity in Schizophrenia – Bipolar Disorder Spectrum is Associated With Cognitive and Clinical Variables

406. Cerebellar Dysconnectivity in Schizophrenia – Bipolar Disorder Spectrum is Associated With Cognitive and Clinical Variables

Effectiveness of Evidence-Based Psychosocial Interventions on Recurrence of Symptoms in Adolescents with Bipolar Spectrum Disorders: A Systematic Review Study

Introduction: Considering the problems of emotion regulation and social skills in adolescents with bipolar spectrum disorders, one of the methods that can help these adolescents is psychosocial intervention. Therefore, the aim of the present study was to investigate the effectiveness of evidence-based psychosocial interventions on the recurrence of symptoms in adolescents with bipolar spectrum disorders. Methods: In the present study, keywords like psychosocial intervention, recurrence, bipolar disorder, bipolar and related disorders, and adolescence were selected based on the database of medical subject headings (MeSH) and searched on English databases such as Scopus, PsycINFO, PubMed, Web of Science, and Google Scholar in the period of 2008 (from March) to 2023 (until December). In this study, the PRISMA systematic review study reporting guide was used. Results: The results of the conducted research indicated the existence of problems in the sleep schedule, emotion regulation, social functioning, and problem-solving skills of these adolescents. Although drug interventions were the front line of mania treatment, psychosocial interventions using models such as psychoeducation, cognitive-behavioral therapy focused on children and families, dialectical behavior therapy, and interpersonal as well as social rhythm therapy has helped the process of treatment stability and effectively prevent the symptoms of the disorder from returning. Conclusion: Early psychosocial treatment, along with pharmacotherapy intervention, can reduce the negative impact of symptoms and lead to improved short-term and long-term outcomes by equipping adolescents and their families with knowledge and skills to improve understanding and management of the disorder.

Factors influencing delays in the diagnosis and treatment of bipolar disorder in adolescents and young adults: A systematic scoping review.

IntroductionBipolar Disorder (BD) is a complex psychiatric condition that typically manifests during late adolescence and early adulthood. Over the past two decades, international studies have reported that BD often goes unrecognized and untreated for several years, which can lead to negative clinical and functional outcomes. However, the components of delay in the diagnosis and treatment of BD in adolescents and young adults and various factors influencing those components have not been systematically explored.ObjectivesTo determine the known factors that contribute to delays in the treatment of BD in adolescents and young adults and identify current knowledge gaps.MethodsA conceptual framework based on the Model of Pathways to Treatment by Scott and colleagues was used as a foundation for our search and extraction strategy to ensure all components of delay and potential factors influencing each component are explored. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline (PRISMA-ScR) to systematically search the electronic databases of MEDLINE (OVID), EMBASE, PsycINFO and CINAHL for peer-reviewed original research articles published from January 01, 2000 through March 29, 2023. Inclusion was restricted to studies with quantitative or qualitative data on individuals diagnosed with bipolar spectrum disorders with symptomatic onset or study participation between the ages of 13-24. Grey literature and studies not published in English were excluded due to resource limitations. Two independent reviewers screened the references retrieved by the literature search based on our inclusion criteria. The findings of included studies were summarized in a narrative and tabular form according to component of delay.ResultsOur search yielded 5180 unique citations, of which 44 articles met our inclusion criteria. We present findings on the patient, illness, and healthcare provider/mental health system factors contributing to the delays in illness appraisal, help-seeking, diagnosis, and treatment.ConclusionsTo the best of our knowledge, this is the first systematic scoping review to explore the potential factors that influence delays in the treatment of BD in adolescents and young adults. Findings from this review will inform clinical practice and policy. We also demonstrate the utility of a systematic approach to identifying the components of delay, from symptom recognition through treatment, as a methodology to help identify knowledge gaps to inform future research.Disclosure of InterestNone Declared

The hierarchical taxonomy of psychopathology in clinical high risk for psychosis: Validation and extension.

The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium's transdiagnostic dimensional model of psychopathology has considerable support; however, this model has been underresearched in individuals at clinical high risk for psychosis (CHR-P), a population that may advance the model. CHR-P individuals not only have attenuated psychotic symptoms that vary in severity, but also have many comorbid diagnoses and varied clinical outcomes, including disorders with uncertain relations to HiTOP (e.g., obsessive-compulsive disorder). The present study used self-report and interview data from North American Prodrome Longitudinal Study-3 (710 CHR, 96 controls) to replicate the HiTOP model and test specific hypotheses regarding disorders with uncertain relations to its dimensions. Additionally, the present study examined the HiTOP model in relation to childhood trauma, declines in social functioning, and development of full psychosis. Confirmatory factor analysis indicated that the HiTOP model's fit was nearly adequate (e.g., comparative fit index = .89), though several theory-relevant modifications were indicated. Additionally, specific tests were conducted to gain a more fine-grained perspective on how disorders with less clear prior evidence were related to the HiTOP model. Notable findings from these analyses include bipolar spectrum disorders relating to the psychosis super spectrum (i.e., .39 loading), and obsessive-compulsive disorder showing a complex pattern of loadings (e.g., internalizing and psychosis). The final model parsimoniously accounted for childhood trauma (e.g., super spectra rs = .22-.32), associations with current functioning, and predicted future conversion to a psychotic disorder (e.g., super spectra R² = .13). Overall, these results inform the HiTOP model and suggest its promise for CHR-P research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Self-Stigma in Patients with Endogenous Mental Disorders: A Cross-Sectional Comparative Study.

Self-stigma remains one of the most vexing issues in psychiatry. It complicates the treatment and social functioning of patients with endogenous psychiatric disorders. Identifying the specific features of self-stigma depending on the type and duration of the endogenous mental illness can help solve this problem. The aim of this study was to establish the level and specific features of self-stigma in patients with various types of chronic endogenous psychiatric disorders at different disease stages and to establish the correlation between the level of self-stigma and the attitude of the patient to his/her disease and treatment. Clinical psychopathology assessment, psychometric scales and questionnaires: "Positive and Negative Syndrome Scale" (PANSS), "Questionnaire for Self-Stigma Assessment in Mentally Ill Patients", and Russian versions of the "Insight Scale for Psychosis" (ISP), and "Drug Attitude Inventory" (DAI-10). The cross-sectional study included 86 patients with endogenous mental illnesses (bipolar affective disorder and schizophrenia spectrum disorders. The analysis of the results of the "Questionnaire for Self-Stigma Assessment in Mentally Ill Patients" showed that at the initial disease stages the highest level of self-stigma is observed in patients with bipolar affective disorder (M±σ=1.22±0.73; Me [Q1; Q3]=1.10 [0.83; 1.60]), while the lowest level was observed in patients with schizophrenia spectrum disorders (M±σ=0.86±0.53; Me [Q1; Q3]=0.77 [0.31; 1.25]). Patients with schizophrenia and schizoaffective disorder and a disease duration more than five years participating in a long-term comprehensive psychosocial rehabilitation program also demonstrated high rates of self-stigma (M±σ=1.20±0.57, Me [Q1; Q3]=1.26 [0.89; 1.47]). The study groups showed differences in terms of the structure of components of self-stigma and their severity; significant correlations were uncovered between the self-stigma parameters and the attitude of patients to their disease and therapy. The results of this study contribute to a better understanding of the specific features of self-stigma in patients with various endogenous disorders at different stages of the disease. These data can be used as part of a comprehensive psychosocial treatment program for this patient cohort, as well as for future research.

An initial test of the contrast avoidance model in bipolar spectrum disorders

The Contrast Avoidance Model suggests that individuals sensitive to negative emotional shifts use prior increases in negative affect to prevent further escalation in response to adverse situations, while the heightened negative affect amplifies positive emotional contrasts when encountering unexpected positive events. Individuals with bipolar spectrum disorders (BSDs), characterized by shifts between (hypo)manic and depressive episodes, may undergo more salient emotional contrasts. Drawing from the Contrast Avoidance Model, the shifts from depression to (hypo)mania can be conceptualized as positive emotional contrasts, potentially heightening the perceived pleasure during (hypo)manic episodes. On the other hand, the shifts from (hypo)manic to depressive episodes can be viewed as negative emotional contrasts, contributing to the challenges associated with depressive states. Despite the intriguing potential of this interplay, the link between the Contrast Avoidance Model and BSDs has never been empirically tested. Our study addressed this gap by examining group differences in contrast avoidance traits between individuals with BSDs, unipolar depression, and healthy controls in a large cohort study (N = 536). Results indicated that individuals with BSDs exhibited significantly higher scores in the total, and Discomfort with Negative Emotional Shifts and Avoidance of Negative Emotional Contrasts/Enhancement of Positive Emotional Contrasts factors, as well as separate item scores on the Contrast Avoidance Questionnaire-General Emotion (CAQ-GE), compared to those with unipolar depression and healthy controls. Although marginal, the BD II subtype demonstrated a stronger inclination to avoid negative emotional contrasts compared to BD I. These findings suggest that contrast avoidance may be a psychological mechanism implicated in BSDs.

Managing the Dual Diagnosis Dilemma of Bipolar Disorder and Substance Abuse in Clinical Settings

Objective: Drug addiction is a chronic mental disorder that significantly impacts all aspects of an individual’s life, and substance use disorder in patients with bipolar disorder. The objective of this study is to assess the frequency of substance abuse among patients with bipolar spectrum disorder. Method: This cross-sectional study evaluated the frequency of bipolar spectrum disorder in patients taking methadone through various screening measures, including Mini Mental State Examination (MMSE), DSM IV criteria, Mood Disorders Questionnaire (MDQ), Goodwin and Ghaemi’s criteria, and Akiskal classification for bipolar disorders. Results: Out of the total 197 participants in the study, 77 were identified as individuals engaging in poly-substance abuse. The investigation assessed the frequency of bipolar spectrum disorder based on various diagnostic criteria: 24% according to DSM-IV criteria, 29.9% using MDQ, 29.9% based on Ghaemi and Goodwin’s criteria, and the highest rate at 48.2% when applying Akiskal’s classification. Conclusions: This study highlights the high frequency of bipolar disorder among individuals with substance use disorder, especially those with concomitant depression. Therefore, it is crucial to pay special attention to individuals with substance use disorder with co-existing bipolar disorder.

An Explanatory Model to Predict Pediatric Psychosis Spectrum Based on Parent Psychiatric Profile and Children and Adolescents Comorbid Disorders as a Mediator Construct.

Objective: Psychosis is one of the most vital disorders in children and youths. The definite pathophysiology of schizophrenia and other psychotic disorders in the growth period has remained ambiguous. Therefore, the purpose of the current study was to investigate the predictive value of parental psychiatric disorders and the mediator role of comorbid disorders of children and youths. Method : The sample, consisting of 29884 individuals aged between 6 to 18 years old from the Iranian population, were selected by multistage cluster sampling during September 22, 2016 to January 3, 2018. Parents were requested to complete a survey around their potential psychiatric disorders, based on their Millon's Clinical Multiaxial Inventory-III (MCMI-III). The Semi-Structured Interview (Kiddie-SADS-Present, Lifetime Form (K-SADS-PL)) was utilized to analyze psychiatric disorders concurring to the DSM. Results: The fit indices of the model show that the research model has a good fit and the psychiatric disorders of parents directly and indirectly through comorbid disorders are effective on the psychosis symptoms of children and adolescents (RMSEA=0.06, CFI=0.89, PGFI=0.75, PNFI=0.75).The incidence of Schizotypal Personality Disorder, Anxiety, Bipolar Spectrum Disorder, PTSD, Schizophrenia Spectrum and Delusional Disorder were statistically higher in parents of psychotic children and adolescents. However, Borderline Personality Disorder was more frequent among their mothers while Alcohol Dependency and Drug Dependency were significantly more prevalent among their fathers. Conclusion: The outcomes of our study showed that there were statistically significant differences between the mean scores of each scale assessed by Millon's inventory between parents of psychotic versus non-psychotic pediatric cases. In addition, psychiatric disorders were more common among children and youths with psychosis spectrum in comparison with the general population.

Cognitive and inflammatory heterogeneity in severe mental illness: Translating findings from blood to brain

Recent findings link cognitive impairment and inflammatory-immune dysregulation in schizophrenia (SZ) and bipolar (BD) spectrum disorders. However, heterogeneity and translation between the periphery and central (blood-to-brain) mechanisms remains a challenge. Starting with a large SZ, BD and healthy control cohort (n = 1235), we aimed to i) identify candidate peripheral markers (n = 25) associated with cognitive domains (n = 9) and elucidate heterogenous immune-cognitive patterns, ii) evaluate the regulation of candidate markers using human induced pluripotent stem cell (iPSC)-derived astrocytes and neural progenitor cells (n = 10), and iii) evaluate candidate marker messenger RNA expression in leukocytes using microarray in available data from a subsample of the main cohort (n = 776), and in available RNA-sequencing deconvolution analysis of postmortem brain samples (n = 474) from the CommonMind Consortium (CMC). We identified transdiagnostic subgroups based on covariance between cognitive domains (measures of speed and verbal learning) and peripheral markers reflecting inflammatory response (CRP, sTNFR1, YKL-40), innate immune activation (MIF) and extracellular matrix remodelling (YKL-40, CatS). Of the candidate markers there was considerable variance in secretion of YKL-40 in iPSC-derived astrocytes and neural progenitor cells in SZ compared to HC. Further, we provide evidence of dysregulated RNA expression of genes encoding YKL-40 and related signalling pathways in a high neuroinflammatory subgroup in the postmortem brain samples. Our findings suggest a relationship between peripheral inflammatory-immune activity and cognitive impairment, and highlight YKL-40 as a potential marker of cognitive functioning in a subgroup of individuals with severe mental illness.

Factors associated with satisfaction and perceived helpfulness of mental healthcare: a World Mental Health Surveys report

BackgroundMental health service providers are increasingly interested in patient perspectives. We examined rates and predictors of patient-reported satisfaction and perceived helpfulness in a cross-national general population survey of adults with 12-month DSM-IV disorders who saw a provider for help with their mental health.MethodsData were obtained from epidemiological surveys in the World Mental Health Survey Initiative. Respondents were asked about satisfaction with treatments received from up to 11 different types of providers (very satisfied, satisfied, neither satisfied nor dissatisfied, somewhat dissatisfied, very dissatisfied) and helpfulness of the provider (a lot, some, a little, not at all). We modelled predictors of satisfaction and helpfulness using a dataset of patient-provider observations (n = 5,248).ResultsMost treatment was provided by general medical providers (37.4%), psychiatrists (18.4%) and psychologists (12.7%). Most patients were satisfied or very satisfied (65.9-87.5%, across provider) and helped a lot or some (64.4-90.3%). Spiritual advisors and healers were most often rated satisfactory and helpful. Social workers in human services settings were rated lowest on both dimensions. Patients also reported comparatively low satisfaction with general medical doctors and psychiatrists/psychologists and found general medical doctors less helpful than other providers. Men and students reported lower levels of satisfaction than women and nonstudents. Respondents with high education reported higher satisfaction and helpfulness than those with lower education. Type of mental disorder was unrelated to satisfaction but in some cases (depression, bipolar spectrum disorder, social phobia) was associated with low perceived helpfulness. Insurance was unrelated to either satisfaction or perceived helpfulness but in some cases was associated with elevated perceived helpfulness for a given level of satisfaction.ConclusionsSatisfaction with and perceived helpfulness of treatment varied as a function of type of provider, service setting, mental status, and socio-demographic variables. Invariably, caution is needed in combining data from multiple countries where there are cultural and service delivery variations. Even so, our findings underscore the utility of patient perspectives in treatment evaluation and may also be relevant in efforts to match patients to treatments.

A good life with psychosis: rate of positive outcomes in first-episode psychosis at 10-year follow-up.

More knowledge about positive outcomes for people with first-episode psychosis (FEP) is needed. An FEP 10-year follow-up study investigated the rate of personal recovery, emotional wellbeing, and clinical recovery in the total sample and between psychotic bipolar spectrum disorders (BD) and schizophrenia spectrum disorders (SZ); and how these positive outcomes overlap. FEP participants (n = 128) were re-assessed with structured clinical interviews at 10-year follow-up. Personal recovery was self-rated with the Questionnaire about the Process of Recovery-15-item scale (total score ⩾45). Emotional wellbeing was self-rated with the Life Satisfaction Scale (score ⩾5) and the Temporal Experience of Pleasure Scale (total score ⩾72). Clinical recovery was clinician-rated symptom-remission and adequate functioning (duration minimum 1 year). In FEP, rates of personal recovery (50.8%), life satisfaction (60.9%), and pleasure (57.5%) were higher than clinical recovery (33.6%). Despite lower rates of clinical recovery in SZ compared to BD, they had equal rates of personal recovery and emotional wellbeing. Personal recovery overlapped more with emotional wellbeing than with clinical recovery (χ2). Each participant was assigned to one of eight possible outcome groups depending on the combination of positive outcomes fulfilled. The eight groups collapsed into three equal-sized main outcome groups: 33.6% clinical recovery with personal recovery and/or emotional wellbeing; 34.4% personal recovery and/or emotional wellbeing only; and 32.0% none. In FEP, 68% had minimum one positive outcome after 10 years, suggesting a good life with psychosis. This knowledge must be shared to instill hope and underlines that subjective and objective positive outcomes must be assessed and targeted in treatment.

Postpartum Depression and Inflammatory Biomarkers of Neutrophil-Lymphocyte Ratio, Platelet-Lymphocyte Ratio, and Monocyte-Lymphocyte Ratio: A Prospective Observational Study

Objectives: Postpartum depression (PPD) is a severe mental health disorder affecting a significant proportion of mothers, often undiagnosed and untreated, with potential long-term effects. While numerous studies have identified risk factors for PPD, the relationship between inflammatory markers and PPD remains unknown. This study aimed to investigate the potential correlation between indirect inflammatory markers, specifically neutrophil-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-lymphocyte ratio (MLR), and the risk of developing PPD, assessed by the Edinburgh Postnatal Depression Scale (EPDS). Design: This was a prospective observational study conducted in a second-level university hospital, from December 2019 to February 2021. Participants: A total of 211 full-term pregnant women were enrolled. Exclusion criteria included specific psychiatric diagnoses, such as severe intellectual disability, schizophrenia, schizoaffective disorder, delusional disorder, bipolar or other unspecified psychotic spectrum disorders. Additionally, pregnancies affected by gestational and pregestational diabetes, chronic hypertension, gestational hypertension, preeclampsia/eclampsia, intrauterine fetal growth restriction, preterm delivery, multiple pregnancies, and fetal abnormalities detected prenatally were excluded. Methods: Socio-demographic and clinical data were recorded. Blood samples for complete blood count were obtained at hospital admission, focusing on NLR, PLR, and MLR. Analyses were conducted in our laboratory using standard techniques. The postpartum PPD evaluation was conducted 3 days after delivery, with the EPDS Italian version. Statistical analyses included descriptive statistics, group comparisons using t tests or Wilcoxon rank-sum tests for continuous variables, and Pearson χ2 or Fisher’s exact tests for categorical variables. Correlation analyses employed Pearson correlation or Spearman’s rank correlation tests. Simple logistic regression models, adjusted for various baseline patient characteristics, explored the correlation between inflammatory markers (PLR, NLR, MLR) and postpartum depressive symptoms. Version 4.1.3 of RStudio statistical software was utilized. Results: Overall, 211 pregnant women enrolled were categorized into two groups based on the EPDS scores: <10 (176 patients) and ≥10 (35 patients). The two groups demonstrated homogeneity in different socio-demographic factors. Stepwise regression analysis indicated that PLR, NLR, and MLR were not significantly associated with these variables. The scatterplot of PLR, NLR, and MLR on EPDS was stratified for EPDS groups. The Wilcoxon rank-sum test applied to PLR, NLR, and MLR values and EPDS groups did not reveal a statistical relationship. Additional analyses were conducted using the estimated odds ratios of the logistic regression model on EPDS groups, considering both continuous and binary values of indirect inflammatory markers (PLR, NLR, MLR). The results indicated the absence of a statistical relationship. Limitations: Our evaluation was restricted to the postpartum period, and data for the first and second trimesters of pregnancy are lacking. Conclusions: Our findings did not evidence a correlation between indirect inflammatory markers (NLR, PLR, and MPL) and PPD. This novel finding prompts further evaluation of the role of indirect inflammatory markers in PPD, highlighting the need for additional research to clarify the complex relationship between inflammation and psychological health in the postpartum period.

Hair cortisol concentrations in pregnant women with bipolar, depressive, or schizophrenic spectrum disorders

PurposeMaternal cortisol levels in pregnancy may support the growth of or adversely affect fetal organs, including the brain. While moderate cortisol levels are essential for fetal development, excessive or prolonged elevations may have negative health consequences for both the mother and the offspring. Little is known about predictors of altered hypothalamic–pituitary–adrenal (HPA) axis activity during pregnancy. This study examined maternal hair cortisol concentration (HCC) in the 3rd trimester of pregnancy in relation to severe psychopathology.MethodsHair samples were collected from 69 women, 32 with a lifetime diagnosis of severe mental disorders (bipolar I or II disorder, moderate or severe depressive disorder, schizophrenic spectrum disorder), and 37 non-clinical controls. Hair samples were collected during the 3rd trimester, and liquid chromatography tandem mass spectrometry was used for cortisol assessment. Psychiatric diagnosis and current level of symptomatic functioning were assessed using the structured clinical interview from the DSM-5 and the global assessment of functioning scale.ResultsWomen with a lifetime diagnosis of severe mental illness had significantly elevated HCC compared to controls. Poorer current symptomatic functioning was also significantly associated with elevated HCC in pregnancy.ConclusionsThe implications of alterations in HCC on both maternal and infant health need further study.

Longitudinal dynamics between anxiety and depression in bipolar spectrum disorders.

Anxiety and depression are common among individuals with bipolar spectrum disorders (BSDs), with anxiety being a risk factor for depression and vice versa. While the harmful effects of these symptoms are well recognized, their temporal dynamics have not been fully tested. To address this gap, our study investigated bidirectional relationships between anxiety and depression in individuals with BSDs using data from the Prechter Longitudinal Study of Bipolar Disorder, collected over an average of 11 years. We included 651 participants with various BSD subtypes (BD I, BD II, BD not otherwise specified, and schizoaffective bipolar type), with at least 5 years' data for adequate statistical power in detecting temporal dynamics. Bimonthly measurements of anxiety and depression were analyzed using dynamic structural equation modeling. Beyond assessing autoregressive and cross-lagged effects, this study also investigated whether temporal dynamics differed based on demographic characteristics and the use of psychiatric medication. Our findings revealed that individuals with BSDs experienced significant fluctuations in anxiety and depression over time. In addition, we found significant autoregressive and cross-lagged effects of anxiety and depression. Comparison of the cross-lagged effects demonstrated that anxiety had a greater effect on subsequent depression than vice versa. Age and marital status impacted cross-lagged and autoregressive effects. Specifically, older participants had stronger temporal associations between depression and subsequent anxiety, while widowed participants exhibited a heightened impact of depression on subsequent depression. These results underscore the importance of early identification and integrative interventions aimed at addressing both anxiety and depression to mitigate subsequent symptoms in BSDs. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Exploring the influences of education, intelligence and income on mental disorders

BackgroundPrevious studies have shown that educational attainment (EA), intelligence and income are key factors associated with mental disorders. However, the direct effects of each factor on major mental disorders are...

Social cognition across the schizophrenia–bipolar disorder spectrum

Social cognition across the schizophrenia–bipolar disorder spectrum