Mood Disorder Questionnaire Research Articles

Adaptive Hyperactivity and Biomarker Exploration: Insights from Elders in the Blue Zone of Sardinia.

Background/Objectives: Adaptive hyperactivity characterized by increased activity levels and novelty-seeking traits without mood disorders is prevalent among older adults in Sardinia's "blue zone," an area with high longevity. This study aims to evaluate the adaptive nature of hyperactivity concerning quality of life, social rhythms, and mood symptoms in individuals from this region, particularly among elderly adults over 80. Methods: This observational cross-sectional study included adults and older adults over 80 from Sardinia's blue zone. This study included a sample of patients followed at the Center for Consultation Psychiatry and Psychosomatics for Bipolar Disorder of the University Hospital of Cagliari and a homogeneous comparison sample of patients without psychiatric pathologies, referred to the Dermatology Clinic of the same hospital, for a period of 6 months, from February to August 2024. The general sample, divided into two parts-cases, represented by patients with psychiatric pathology, and controls, patients without psychiatric pathology-was divided in turn into three sub-groups: "adults" (18-64 years), young elders (65-79), and old elders (over 80 years). The participants underwent psychiatric interviews and completed the Mood Disorder Questionnaire (MDQ), Patient Health Questionnaire (PHQ-9), SF-12, and Brief Social Rhythm Scale (BSRS). Data were compared with national and regional normative data. Results: Older adults in the blue zone demonstrated higher MDQ positivity (22.58%) compared to the national averages (0.87%), without corresponding increases in dysregulated rhythms, depressive symptoms, or reduced quality of life. Younger old persons (65-79 years) showed increased rhythm dysregulation (BSRS score: 20.64 ± 7.02) compared to adults (17.40 ± 6.09, p = 0.040), but this trend was not observed in the oldest group (80+ years). No significant differences were found in the CH3SH and (CH3)2S levels between groups. Conclusions: The hyperactivity observed in older adults from Sardinia's blue zone appears adaptive and not linked to social rhythm dysregulation, depressive symptoms, or a diminished quality of life, suggesting resilience factors which may contribute to longevity. These findings support the potential classification of such hyperactivity as beneficial rather than pathological, warranting further research into biomarkers and psychoeducational interventions to prevent the onset of bipolar disorders in predisposed individuals.

An observational study on variations of serum uric acid level in patients of depression and healthy controls and its correlation with hidden bipolarity

Background: Bipolar disorder (BD) is one of the most studied psychiatric disorders, this being one of the leading causes of disability in young individuals. In search for its predictive biomarker, serum uric acid (UA) level was seen to have a pathophysiologic role in the genesis of BD through oxidative stress and other mechanism. Aims and Objectives: The aim of the study was to estimate serum UA levels in patients with 1st episode depression, to compare serum UA levels between patients and matched healthy controls and to compare serum UA levels between patients with and without hidden bipolarity and therefore, and to evaluate whether it can be used as a predictor of bipolarity. Materials and Methods: A study was conducted in a tertiary care center in Eastern India for a duration of 3 months with a sample size of 92, comprising 46 cases with major depressive disorder (MDD) and 46 control groups of healthy subjects. Their serum UA levels were estimated. The study population was subjected to a mood disorder questionnaire (MDQ) and Montgomery–Asberg Depression Rating Scale (MADRS) scoring. All these data were tabulated in a master sheet and analyzed using Statistical Packages for the Social Sciences 25 software. Results: The mean age of the study population was 32 years with 46 males and 46 females. The mean UA levels for MDD group was 5.27±1.14 mg/dL and for control group was 4.6±1.2 mg/dL, which was seen to be statistically significant (P=0.001). No statistically significant association was seen between the group with a high likelihood of bipolarity versus a low chance of bipolarity with respect to UA levels. A positive correlation was seen between MDQ scores and UA levels of depressed individuals (using Spearmen’s rho: rs=0.345, P=0.019), but not with their MADRS scores. Conclusion: Serum UA levels are significantly higher in depressed patients as compared to healthy subjects. A non-statistical association was seen between UA levels and their bipolar tendencies, owing to a small sample size of comparable groups. However, a higher MDQ score was associated with high UA levels. A larger study population is needed to conclusively establish the predictive role of UA with respect to BD.

A Comparative Analysis of the Frequency of Bipolar Spectrum Disorder in Patients with and Without Psoriasis

Background: Psoriasis is a chronic disease that significantly negatively affects a patient’s quality of life. Based on etiopathological characteristics, there is strong evidence of susceptibility to psychological disorders, such as depression and bipolar disorder, in patients suffering from psoriasis. Objectives: We investigated the frequency of bipolar spectrum disorders in psoriasis patients compared to healthy controls in a selected population in Iran. Methods: This case-control study was conducted on two sample groups, with and without psoriasis (50 people in each group). The statistical population included all individuals referred to Shohadaye Tajrish and Taleghani Hospitals of Shahid Beheshti University of Medical Sciences, selected using the available method and assigned to two groups in 2023. The participants were examined for the presence of bipolar spectrum disorders using the Mood Disorder Questionnaire (MDQ) and the Bipolar Spectrum Diagnostic Scale (BSDS). Results: According to the MDQ questionnaire, the frequency rates of bipolar disorder in the patients and controls were 20% and 40%, respectively, with no significant difference between the groups (P = 0.108). Based on the BSDS, the frequency of bipolar disorder in the two groups, with and without psoriasis, was estimated to be 25% and 32.1%, respectively, with no significant difference (P = 0.226). The rate of major depressive disorders was also 22% and 26%, with no significant difference (P = 0.640). Conclusions: Among Iranian patients with psoriasis, the presence of the disease may not be associated with an increased risk of bipolar spectrum disorders.

Machine Learning-Driven Evaluation of Lithium and Valproate Combination Therapy in Bipolar Disorder

Background Bipolar disorder (BD) is characterized by recurrent episodes of mania and depression, requiring long-term mood stabilization. While lithium is a well-established treatment for BD, its efficacy can vary among individuals. Combination therapy with valproate has been explored to enhance treatment outcomes. Objective This case series aims to demonstrate the superior effectiveness of lithium and valproate combination therapy over lithium monotherapy in stabilizing mood in patients with bipolar disorder. Methods This retrospective study includes data from 2 patients diagnosed with bipolar disorder. Patients initially treated with lithium monotherapy who showed inadequate response were subsequently treated with a combination of lithium and valproate. Clinical assessments were conducted using the Mood Disorder Questionnaire (MDQ), Clinical Global Impression-Severity (CGI-S), Hamilton Depression Rating Scale (HDRS), and Global Assessment of Functioning (GAF) before and after combination therapy. Results Combination therapy with lithium and valproate significantly improved mood stability in patients compared to lithium monotherapy. On average, MDQ scores decreased from 22.4 to 8.3, CGI-S scores improved from 4.8 to 2.1, HDRS scores reduced from 25.6 to 9.7, and GAF scores increased from 50.3 to 75.4. These improvements were sustained over a followup period of 12 months. The combination of lithium and valproate provides superior mood stabilization in patients with bipolar disorder compared to lithium alone. These findings suggest that combination therapy should be considered in patients who do not achieve adequate symptom control with lithium monotherapy

Machine Learning-Driven Evaluation of Antidepressant and Mood Stabilizer Combination Therapy in Bipolar Disorder

Background Bipolar disorder (BD) is characterized by recurrent episodes of mania and depression, requiring long-term mood stabilization. While mood stabilizers such as lithium and valproate are the cornerstone of BD treatment, the use of antidepressants in combination with mood stabilizers has been explored to enhance therapeutic outcomes, particularly in managing depressive episodes. Objective This case series aims to demonstrate the superior effectiveness of antidepressants combined with mood stabilizers over mood stabilizers alone in stabilizing mood in patients with bipolar disorder. Methods Two patients with bipolar disorder who initially received mood stabilizers monotherapy and exhibited suboptimal responses were subsequently treated with a combination of mood stabilizers and antidepressants. Clinical assessments were conducted using the Mood Disorder Questionnaire (MDQ), Clinical Global Impression-Severity (CGI-S), Hamilton Depression Rating Scale (HDRS), and Global Assessment of Functioning (GAF) before and after combination therapy. Results Combination therapy with antidepressants and mood stabilizers significantly improved mood stability in both patients compared to mood stabilizers alone. MDQ scores decreased, CGI-S scores improved, HDRS scores reduced, and GAF scores increased, with improvements sustained over a follow-up period of 12 months. Conclusion The combination of antidepressants and mood stabilizers provides superior mood stabilization in patients with bipolar disorder compared to mood stabilizers alone. These findings suggest that combination therapy should be considered in patients who do not achieve adequate symptom control with mood stabilizers monotherapy

Machine Learning-Driven Comparative Analysis of Quetiapine and Olanzapine for Managing Depressive Episodes in Bipolar Disorder

Background Bipolar disorder (BD) necessitates effective management of both manic and depressive episodes. Quetiapine and olanzapine are antipsychotic medications commonly used in the treatment of BD, but their relative efficacy as antidepressants is a topic of ongoing research. Objective This case series aims to evaluate the greater efficacy of quetiapine compared to olanzapine as an antidepressant in the treatment of bipolar disorder. Methods Two patients with bipolar disorder were treated with either quetiapine or olanzapine. Clinical assessments were conducted using the Mood Disorder Questionnaire (MDQ), Clinical Global Impression-Severity (CGI-S), Hamilton Depression Rating Scale (HDRS), and Global Assessment of Functioning (GAF) before and after the treatment. Results Quetiapine showed greater efficacy in reducing depressive symptoms and improving overall functioning compared to olanzapine. MDQ scores decreased, CGI-S scores improved, HDRS scores reduced, and GAF scores increased more significantly in the patient treated with quetiapine. Conclusion Quetiapine appears to be a more effective antidepressant than olanzapine in the treatment of bipolar disorder. These findings suggest that quetiapine could be considered a preferred option for managing depressive episodes in BD patients.

Machine Learning-Driven Evaluation of Pramipexole and Mood Stabilizer Combination Therapy in Bipolar Disorder

Background Bipolar disorder (BD) requires long-term management to prevent relapse of depressive episodes. The use of pramipexole, a dopamine agonist, in combination with mood stabilizers has been explored for its potential to prevent antidepressant relapse. Objective This case series aims to evaluate the efficacy and safety of pramipexole in combination with mood stabilizers in preventing antidepressant relapse in patients with bipolar disorder. Methods Two patients with bipolar disorder who were at high risk of relapse after discontinuation of antidepressants were treated with pramipexole in combination with mood stabilizers. Clinical assessments were conducted using the Mood Disorder Questionnaire (MDQ), Clinical Global Impression-Severity (CGI-S), Hamilton Depression Rating Scale (HDRS), and Global Assessment of Functioning (GAF) before and after the addition of pramipexole. Results The combination therapy of pramipexole and mood stabilizers effectively prevented relapse in both patients. MDQ scores decreased, CGI-S scores improved, HDRS scores reduced, and GAF scores increased, with no significant adverse effects reported over a follow-up period of 12 months. Conclusion Pramipexole in combination with mood stabilizers appears to be an effective and safe strategy for preventing antidepressant relapse in patients with bipolar disorder. These findings suggest that this combination therapy could be considered for patients at high risk of relapse after antidepressant discontinuation.

Mood Disorder Questionnaire Positivity in Systemic Lupus Erythematosus and Other Chronic Diseases including Screen Bipolar Disorders or Rhythm and Energy Dysregulation Syndromes (DYMERS).

This study explores the issue of paper-and-pencil screening tests for bipolar disorder, often leading to false positives. It discusses hypotheses that connect MDQ positivity with sleep disorders, a decline in health-related quality of life, and the impact of the COVID-19 pandemic on mood disorders. The study proposes that MDQ identifies a "Dysregulation of Mood, Energy, and Social Rhythms Syndrome" (DYMERS), indicating a stress-related condition. It aims to investigate the association between MDQ positivity and systemic lupus erythematosus (SLE) in comparison to other chronic disorders. This case-control study, conducted from April 2019 to February 2020, investigated MDQ positivity in patients with SLE. Ethical approvals were obtained, and statistical analysis was used for data assessment. This is a case-controlled study where MDQ positivity was significantly higher in systemic lupus erythematosus cases than controls. The analysis compared gender, age, and the presence of depressive episodes between MDQ-positive and MDQ-negative cases, revealing some differences but no significant variations. Interestingly, no association with high prednisone or biologics use was observed. The frequency of MDQ positivity in systemic lupus erythematosus was compared to other chronic pathologies, revealing varying associations with each condition. This study reveals a high rate of (MDQ) positivity in systemic lupus erythematosus (SLE), associated with the risk of bipolar disorder in SLE. Notable discrepancies in MDQ positivity risk factors between SLE and bipolar disorder are observed. The study emphasizes the ability of MDQ to identify a distinct syndrome characterized by rhythm dysregulation, posing a risk for bipolar disorder and other disorders.

Simultaneous Utilization of Mood Disorder Questionnaire and Bipolar Spectrum Diagnostic Scale for Machine Learning-Based Classification of Patients With Bipolar Disorders and Depressive Disorders.

Bipolar and depressive disorders are distinct disorders with clearly different clinical courses, however, distinguishing between them often presents clinical challenges. This study investigates the utility of self-report questionnaires, the Mood Disorder Questionnaire (MDQ) and Bipolar Spectrum Diagnostic Scale (BSDS), with machine learning-based multivariate analysis, to classify patients with bipolar and depressive disorders. A total of 189 patients with bipolar disorders and depressive disorders were included in the study, and all participants completed both the MDQ and BSDS questionnaires. Machine-learning classifiers, including support vector machine (SVM) and linear discriminant analysis (LDA), were exploited for multivariate analysis. Classification performance was assessed through cross-validation. Both MDQ and BSDS demonstrated significant differences in each item and total scores between the two groups. Machine learning-based multivariate analysis, including SVM, achieved excellent discrimination levels with area under the ROC curve (AUC) values exceeding 0.8 for each questionnaire individually. In particular, the combination of MDQ and BSDS further improved classification performance, yielding an AUC of 0.8762. This study suggests the application of machine learning to MDQ and BSDS can assist in distinguishing between bipolar and depressive disorders. The potential of combining high-dimensional psychiatric data with machine learning-based multivariate analysis as an effective approach to psychiatric disorders.

Hyperactivity and Risk for Dysregulation of Mood, Energy, and Social Rhythms Syndrome (DYMERS): Standardization of a Simple One-Item Screener versus the Mood Disorder Questionnaire (MDQ).

Background: This study aims to verify the accuracy of item 10 on the energy level of the Short-Form Health Survey (SF-12) in an item screening according to Mood Disorder Questionnaire (MDQ) results, providing a measure of hyper-energy. Methods: Regression techniques were employed in a dataset comprising 4093 records of respondents to test both linear and nonlinear relationships between predictor and outcome variables (energy level and symptoms considered in the MDQ). We examined the relationship of energy level with cases identified using MDQ with a cut-off of 7. Results: Levels of energy, as rated on item 10 of the SF-12, were related to the MDQ score with sensitivity = 0.72 and specificity = 0.70. In linear regression, the associations were stronger with MDQ items on excessive energy or activity, showing a medium effect size and an explained variance of 10% or higher. A greater association was observed for items on excessive energy and activity, as expected, as well as for items concerning self-confidence, sociability, and talkativeness. Conclusions: This result may have implications for the research on risk factors and the pathogenesis of the dysregulation of mood, energy, and social rhythms syndrome (DYMERS), a syndrome that is hypothesized to occur in stressful conditions like those shown under the COVID-19 pandemic.

Perinatal risk factors and subclinical hypomania: A prospective community study

BackgroundPerinatal risk factors are implicated in the development of psychopathology, but their role in bipolar disorder (BD) and hypomania is unclear. Using data from a prospective community cohort, this is the first study to investigate the association between a range of perinatal risk factors, hypomanic symptoms, and ‘high-risk’ for BD in the general population. MethodsParent report of perinatal events were available for 26,040 eighteen-month-olds from the Twins Early Development Study. Subsequent self-report hypomania was measured at ages 16 (Hypomania Checklist-16; N = 2943) and 26 (Mood Disorders Questionnaire; N = 7748). Participants were categorised as ‘high-risk’ for BD using established classifications. Linear and logistic regressions were conducted within a generalised estimating equations framework to account for relatedness in the sample. ResultsPrenatal alcohol exposure (β = 0.08, SE = 0.04, p = .0002) and number of alcohol units consumed (β = 0.09, SE = 0.02, p < .0001) were associated with hypomanic symptoms at age 16, and number of alcohol units (OR = 1.13, 95 % CI:1.06–1.21, p = .0003) and maternal stress (OR = 1.68, 95 % CI:1.21–2.34, p = .002) were associated with ‘high-risk’ for BD age 16. Prenatal tobacco exposure (β = 0.10, SE = 0.04, p < .0001) and number of cigarettes smoked (β = 0.10, SE = 0.01, p < .0001) were associated with hypomanic symptoms and ‘high-risk’ for BD at age 26, although these result were attenuated controlling for parental psychiatric history. LimitationsFamilial confounding could not be fully adjusted for. Rater reports include some biases. ConclusionsThese findings show perinatal risk factors to be associated with subclinical hypomania and ‘high-risk’ for BD. Future work should explore the mechanisms underlying these longitudinal associations, which could shed light on prevention and intervention efforts.

Manic Residual Symptoms Also Deserve Attention: A Symptom Network Analysis of Residual Symptoms in Bipolar Disorder.

Lots of patients with bipolar disorder (BD) continue to have residual symptoms after treatment in their remission, BD exhibits intricate characteristics and transformation patterns in its residual symptoms, residual symptoms of different polarities and degrees can mix with and transform to each other. There is a need for further investigation of BD as a comprehensive multivariate disease system. The current research lacks network analyses focusing on BD's residual and subsyndromal symptoms. 242 patients were included with bipolar disorder in remission. We compared demographic data and differences in symptoms between populations with and without residual symptoms using t-tests and chi-square tests, with FDR applied for multiple comparison correction. Logistic regression was used to identify influencing factors for residual symptoms. Symptom networks were compared by network analysis to analyze the relationships between different types of residual symptoms. Depressive residual symptoms (N=111) were more common than manic residual symptoms (n=29) in the patients included. The comparison between two groups with and without residual symptoms shows no difference in demographic data and medical history information. The main influencing factors related to residual symptoms were time from diagnosis to first treatment (OR=0.88), the first(OR=1.51) and second (OR=17.1)factors of the Mood Disorder Questionnaire (MDQ), the Quick Inventory of Depressive Symptomatology Self-Report (QIDS)(OR=5.28), the psychological(OR=0.68) and environment (OR=1.53) subscale of the World Health Organization Quality of Life Short Form (WHOQOL-BREF). There was a significant difference in network structure between the groups with and without residual symptoms (network invariance difference=0.4, p =0.025). At the same time, there was no significant difference between the groups with and without depressive residual symptoms. However, the symptom network in patients with depressive residual symptoms is more loosely structured than in those without, with symptoms exhibiting weaker interconnections. When there is no depressive or manic residual symptom, it can still form a symptom network and cause an impact on social function. This study underscores the complexity of bipolar disorder's residual symptoms. Although it primarily manifests as loosely structured depressive residual symptoms, manic residual symptoms should not be ignored. Future research should explore network-based interventions targeting specific symptom clusters or connections to improve residual symptom management and patient outcomes.

Depression in the Perinatal Period: Course and Outcome of Depression in the Period from the Last Trimester of Pregnancy to One Year after Delivery in Primiparous Mothers.

Background and Objectives: One of the most significant psychiatric problems in women is depression related to the perinatal period. Our study aims to determine the frequency and course of depressive symptomatology in the perinatal period with particular reference to objective rate and outcome of postpartum depression. Materials and Methods: One hundred and eighty-eight pregnant/postnatal women were included in a prospective, longitudinal, observational study during which the depressive symptomatology was estimated at the third trimester of pregnancy, and the first, sixth, and twelfth month' postpartum. All participants completed a semi-structured sociodemographic questionnaire constructed for research purposes, the Edinburgh Postnatal Depression Scale, Toronto Alexithymia Scale, Beck Anxiety Inventory, and The Mood Disorder Questionnaire at each time point. Postpartum depression diagnosis was confirmed by a trained and certified psychiatrist with long-standing experience. For a better understanding of the trajectory of depressive symptomatology and genuine postpartum depression, we classified depression into those with new-onset and those left over from the previous observation period. Results: In general, 48.9% of participants in the study were depressed at some point during the investigation. A total of 10.6% of women were depressed in the third trimester. The highest percentage of new-onset depression (25%) was in the first month after giving birth and was maintained for up to six months, after which the appearance was sporadic. Most of the postpartum depression resolved in the period from the first month to the sixth month after childbirth (20.7%). The episodes mainly had characteristics of unipolar depression. Conclusions: Our results imply that a new onset of depression is most intensive during the first six months, and after that, it is sporadic. Further studies are needed to explore whether all depressive symptomatology in the postnatal period is the same, or perhaps postpartum depression, classified in this way, has specific characteristics, etiology, and consequently different treatment and preventive options.

Moderating effect of shift work on sleep and depression in individuals at high risk of bipolar disorder

BackgroundSocial Zeitgeber Theory posits that disruptions in social rhythms can increase susceptibility to bipolar disorder (BD). Shift work (SW) is one of the external factors that cause instability in social rhythms and the sleep-wake cycle. This study evaluated the moderating influences of SW on the risks of BD and sleep-related parameters and depressive symptoms. Furthermore, we evaluated the specific work schedules including daytime, nighttime, and regular and irregular rotating SW. MethodsAn online survey was administered to 6665 participants, with 3379 (50.7 %) classified as individuals with high scores of Mood Disorder Questionnaire (MDQ). The survey included the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Scale (ISI), Epworth Sleepiness Scale (ESS), and Center for Epidemiologic Studies Depression Scale (CES-D). ResultsA multivariate regression model revealed significant interactive effects of MDQ positivity and SW on PSQI, ISI, and CES-D scores, but not ESS scores. In a secondary analysis of the high MDQ screen group, daytime workers had lower scores in sleep disturbances and depressive symptoms compared to those engaged in other forms of SW. LimitationsOnline surveys were accessible voluntarily, leading to potential selection bias. Cross-sectional data identified associations, not causal relationships. Only a self-reported questionnaire was used. ConclusionsOur findings emphasize the advantages of a daytime work schedule for individuals at high risk of BD. In accordance with the principles of social rhythm interpersonal therapy, sleep interventions for individuals at high risk of BD should include the maintenance of a consistent daytime schedule.

High Risk Factors and Preventive Measures of Bipolar Disorder After Ischemic Stroke.

Bipolar disorder (BD) is a recurrent chronic disease. There are few Chinese studies to explore the BD after ischemic stroke. This study aimed to analyze the high risk factors of BD after ischemic stroke and investigate prevention strategies. 197 patients with ischemic stroke in our hospital from March 2020 to March 2022 were selected as research subjects. The demographic information, clinical data, and scores of Mood Disorder Questionnaire (MDQ) and Activity of Daily Living Scale (ADL) in patients were retrospectively analyzed to count the incidence of BD in patients. Binary logistic regression analysis was used to analyze the influencing factors for BD after ischemic stroke, and preventive measures were discussed based on study results. The incidence of BD in patients with ischemic stroke was 45.18% (89/197), and the median and quartile in the first part of MDQ score was 6.00 (5.00,10.00) points. The subjects were divided into BD group (n = 89) and non-BD group (n = 108) based on the presence of BD in patients with ischemic stroke. Education background (OR = 0.485), lesions involving the frontal or temporal lobes (OR = 2.724), sleep disorders (OR = 2.246), and daily living ability (OR = 3.108) were influencing factors for BD after ischemic stroke (P < .05). The risk of BD after ischemic stroke is high. Based on the above research results, clinical attention should be paid to knowledge popularization, lesion examination, and the improvement of sleep quality and daily living ability, to prevent the occurrence of BD and improve the prognosis.

Sociodemographic, clinical and treatment characteristics of current rapid-cycling bipolar disorder: a multicenter Chinese study

BackgroundRapid cycling bipolar disorder (RCBD), characterized by four or more episodes per year, is a complex subtype of bipolar disorder (BD) with poorly understood characteristics.MethodThis multicenter, observational, longitudinal cohort study enrolled 520 BD patients across seven psychiatric institutions in China from January 2013 to January 2014. Participants were divided into RCBD and non-RCBD (NRCBD) groups based on the frequency of mood episodes in the preceding year. Data collection utilized a standardized form, supplemented by a medical record review, focusing on sociodemographic, clinical, and treatment characteristics. Statistical analysis involved independent samples t-tests, Kruskal–Wallis H tests, Chi-square or Fisher's exact tests, with Bonferroni correction applied to account for multiple comparisons, and multivariable logistic regression to identify characteristics associated with RCBD.ResultsAmong the BD cohort, 9.4% were identified as current RCBD. Compared to NRCBD, RCBD patients had a shorter duration from the first psychiatric consultation to the diagnosis of BD, a reduced duration of their longest period of euthymia, a lower proportion of lifetime hospitalization history due to BD, and less use of electroconvulsive therapy (ECT) within the last 12 months. Additionally, they presented higher baseline scores on the Mood Disorder Questionnaire (MDQ) and the Brief 16-item Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR16). However, after applying the Bonferroni correction, these differences were not statistically significant. Multivariable logistic regression analysis identified three factors that were independently associated with RCBD: time from first psychiatric consultation to BD diagnosis (Odds Ratio [OR] = 0.512, P = 0.0416), lifetime hospitalization history due to BD (OR = 0.516, P = 0.0476), and ECT treatment within the past 12 months (OR = 0.293, P = 0.0472).ConclusionThis study revealed that the duration from first psychiatric consultation to BD diagnosis, lifetime hospitalization history due to BD, and ECT treatment in the past year were associated with RCBD. Recognizing these factors could contribute to enhance the early identification and clinical outcomes of RCBD.Trial Registration Number Registry ClinicalTrials.gov NCT01770704. Date of Registration: First posted on January 18, 2013.

Dysregulation of mood, energy, and social rhythms syndrome (DYMERS): A working hypothesis.

A syndrome centered on the dysregulation of behavioral rhythms (DBR) is discussed. Recent pandemic brought to observe: (1) Having a DBR affecting sleep patterns, eating habits, and social interactions, before the lockdown period, was a determinant for depressive episodes during the lockdown; (2) In tighter lockdowns, DBR triggered depressive episodes in bipolar patients; (3) DBR in healthcare workers under pressure was a determinant of burnout; (4) DBR influenced the course of chronic diseases by altering immune responses. In addition, it was found that scoring positive on the Mood Disorder Questionnaire (MDQ) was closely associated with the dysregulation of sleep rhythms. MDQ is a screening tool for bipolar disorder (BD), criticized for detecting too many false positives. Studies showed that positivity to the MDQ implied a severe impairment of quality of life even in people without psychiatric diagnoses. According to this evidence, three different hyperactivation levels could be proposed (from normality to pathology): firstly, an adaptive increase in energy (e.g. athletes performing well); secondly, a DBR determined from the continuous stimulation of stress hormones, with possible positive scores on the MDQ without a diagnosis of bipolar disorder, like in burnout syndromes and, thirdly, hyperactivity during manic episodes. The Dysregulation of Mood, Energy, and Social Rhythms Syndrome (DYMERS), the second level of the scale, is proposed as a working hypothesis. DYMERS is also seen as a vulnerable condition that may evolve in other disorders (including BD) according to the individual susceptibility (including genetic predisposition) and the specific nature/level of the stressor.

Prenatal insomnia disorder may predict concurrent and postpartum psychopathology: A longitudinal study.

While insomnia symptoms may be a risk factor for mental disturbances, few studies evaluated "Insomnia Disorder" and its relationship with perinatal psychopathology. Pregnant women were recruited during their last routine assessment before being hospitalized for delivery during the 3rd trimester at the Gynaecological Unit of the University Hospital of Ferrara and Udine, Italy, from January 2022 to January 2023. Our assessment included baseline evaluation (T0), and evaluations at 1 month (T1) and 3 months (T2) in the postpartum period, with specific questionnaires for insomnia disorder, such as Sleep Condition Indicator, mood and anxiety symptoms and psychosocial functioning, such as Edinburgh Postnatal Depression Scale, Mood Disorder Questionnaire, State-Trait Anxiety Inventory, Work and Social Adjustment Scale. At T0, 181 pregnant women were included. Insomnia disorder affected 22.3% at T0, 23.5% at T1 and 16.2% at T2. Women with insomnia disorder at baseline were significantly more affected by concurrent anxiety and depressive symptoms, had higher bipolar diathesis and poorer psychosocial functioning in the perinatal period. Prenatal insomnia disorder predicted anxiety (T0: odds ratio 4.44, p << 0.001; T1: odds ratio 4.009, p = 0.042) and depressive symptoms (T0: odds ratio 2.66, p = 0.015; T1: odds ratio 11.20, p = 0.001; T2: odds ratio 12.50 p = 0.049) in both the prenatal and postnatal period. It also predicted poor psychosocial function during the prenatal (odds ratio 3.55, p = 0.003) and postpartum periods (T1: odds ratio 2.33, p = 0.004). Insomnia disorder is emerging as an important prenatal factor that may contribute to concurrent and postpartum psychopathology.

Adaption and validation of the Rwandese version of the Mood Disorder Questionnaire for the screening of bipolar disorder

BackgroundBipolar disorder is challenging to diagnose. In Rwanda, a sub-Saharan country with a limited number of psychiatrists, the number of people with an undetected diagnosis of bipolar disorder could be high. Still, no screening tool for the disorder is available in the country. This study aimed to adapt and validate the Mood Disorder Questionnaire in the Rwandan population. MethodsThe Mood Disorder Questionnaire was translated into Kinyarwanda. The process involved back-translation, cross-cultural adaptation, field testing of the pre-final version, and final adjustments. A total of 331 patients with either bipolar disorder or unipolar major depression from two psychiatric outpatient hospitals were included. The statistical analysis included reliability and validity analyses and receiver operating characteristic curve (ROC) analysis. The optimal cut-off was chosen by maximizing Younden's index. ResultsThe Rwandese version of The Mood Disorder Questionnaire had adequate internal consistency (Cronbach's alpha =0.91). The optimal threshold value was at least six positive items, which yielded excellent sensitivity (94.7%), and specificity (97.3%). The ROC area under the curve (AUC) was 0.99. ConclusionThe adapted tool showed good psychometric properties in terms of reliability and validity for the screening of bipolar disorder, with a recommended cutoff value of six items on the symptom checklist for a positive score and an exclusion of items 14 and 15. The tool has the potential to be a crucial instrument to identify otherwise undetected cases of bipolar disorder in Rwanda, improving access to mental health treatment, thus enhancing the living conditions of people with bipolar disorder.

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.