Risk factors predicting onset and persistence of subthreshold expression of bipolar psychopathology among youth from the community

Hypomania-Checklist-33: risk stratification and factor structure in a mixed psychiatric adolescent sample

BACKGROUND

The 33-item Hypomania Checklist (HCL-33) has been shown to distinguish between adolescent bipolar disorder (BD) and unipolar depression. To investigate the utility of the HCL-33 as a screening tool in routine diagnostics, the frequency and psychopathological characteristics of detected individuals in a mixed psychiatric sample necessitate more examination.

METHODS

The HCL-33, Children's Depression Inventory, Beck's Anxiety Inventory, and Strengths and Difficulties Questionnaire were completed by 285 children and adolescents (12-18 years) in a mixed psychiatric sample. Applying the proposed HCL-33 cut-off score of ≥ 18, individuals with depressive symptoms were divided into at-risk or not at-risk for BD groups. The factorial structure, sum and factor score correlations with psychopathology, and impact on daily functioning were assessed.

RESULTS

20.6% of the sample met at-risk criteria for BD. These individuals (n = 55) were older, more anxious, and showed more conduct problems vs the not at-risk group (n = 107). A two- and a three-factor model were pursued with the same Factor 1 ("active-elated"). Factor 2 ("risk-taking/irritable") was separated into 2a ("irritable-erratic") and 2b ("outgoing-disinhibited") in the three-factor model. Whereas higher Factor 2 and 2a scores correlated with a broad range of more severe symptomatology (i.e., depression, anxiety, hyperactivity), higher Factor 1 and 2b scores correlated with more emotional and conduct problems, respectively. 51.7% of the sample reported a negative impact from hypomanic symptoms on daily functioning.

LIMITATIONS

Cross-sectional design and data collection in a single mental health service.

CONCLUSIONS

The HCL-33 may be a useful tool to improve diagnostics, especially in adolescents with depressive symptoms additionally presenting with anxious symptoms and conduct problems.

Improving Quality of Life in Bipolar Disorders with an Immersive Virtual Reality Remediation Training Randomized Controlled Trial (RCT)

Background: Health-related quality of life (H-QoL) is a critical measure in bipolar disorder (BD). Recent trials using virtual reality (VR) have shown potential in improving H-QoL. However, VR's effect on the H-QoL of people with BD needs to be further explored. Methods: This study involved a secondary analysis of a feasibility randomized controlled trial, focusing on "quality of life". Participants (aged 18-75) diagnosed with bipolar disorder were randomized into two groups. The experimental group used the CEREBRUM VR app, while the control group received the usual care. Quality of life was assessed using the Short-Form Health Survey (SF-12). Results: A total of 39 individuals in the experimental group and 25 in the control group represent the final samples. The results showed a greater improvement in the SF-12 total score in the experimental group (8.7%) compared to the control group (F = 66.851 p < 0.0001), specifically in the dimension of physical activity limitation, emotional impact, concentration, pain, calmness, energy levels, discouragement, and social activities. Conclusions: This study demonstrated an improvement in QoL for individuals with BD following a VR intervention. As a feasibility study, this secondary outcome needs to be confirmed by further phase III studies. If confirmed, VR could offer valuable rehabilitation tools and insights into the pathogenesis and treatment of BD.

Neurobehavioral Reward and Sleep-Circadian Profiles Predict Present and Next-Year Mania/Hypomania Symptoms

BACKGROUND

Heightened reward sensitivity/impulsivity, related neural activity, and sleep-circadian disruption are important risk factors for bipolar spectrum disorders, the defining feature of which is mania/hypomania. Our goal was to identify neurobehavioral profiles based on reward and sleep-circadian features and examine their specificity to mania/hypomania versus depression vulnerability.

METHODS

At baseline, a transdiagnostic sample of 324 adults (18-25 years) completed trait measures of reward sensitivity (Behavioral Activation Scale), impulsivity (UPPS-P-Negative Urgency), and a functional magnetic resonance imaging card-guessing reward task (left ventrolateral prefrontal activity to reward expectancy, a neural correlate of reward motivation and impulsivity, was extracted). At baseline, 6-month follow-up, and 12-month follow-up, the Mood Spectrum Self-Report Measure - Lifetime Version assessed lifetime predisposition to subthreshold-syndromal mania/hypomania, depression, and sleep-circadian disturbances (insomnia, sleepiness, reduced sleep need, rhythm disruption). Mixture models derived profiles from baseline reward, impulsivity, and sleep-circadian variables.

RESULTS

Three profiles were identified: 1) healthy (no reward or sleep-circadian disruption; n = 162); 2) moderate-risk (moderate reward and sleep-circadian disruption; n = 109); and 3) high-risk (high impulsivity and sleep-circadian disruption; n = 53). At baseline, the high-risk group had significantly higher mania/hypomania scores than the other groups but did not differ from the moderate-risk group in depression scores. Over the follow-up period, the high-risk and moderate-risk groups exhibited elevated mania/hypomania scores, whereas depression scores increased at a faster rate in the healthy group than in the other groups.

CONCLUSIONS

Cross-sectional and next-year predisposition to mania/hypomania is associated with a combination of heightened reward sensitivity and impulsivity, related reward circuitry activity, and sleep-circadian disturbances. These measures can be used to detect mania/hypomania risk and provide targets to guide and monitor interventions.

Cannabis use and its relationship with bipolar disorder: A systematic review and meta-analysis

Cannabis use has been stated as a causal risk factor for the occurrence of schizophrenia and other psychotic disorders. There is a dearth of literature stating the association of cannabis with bipolar disorder. This review aimed to find the repercussion of cannabis use on the onset of the first episode of bipolar disorder and the worsening of the symptoms in pre-existing illness. A thorough systematic review of the existing literature was carried out using the PRISMA guidelines. PubMed, Medline, EMBASE, SCOPUS, and Google-scholar databases were searched for studies fitting our study's inclusion and exclusion criteria. A total of 25 studies were included in the systematic review and out of these 25 studies, five prospective studies met the inclusion criteria for the primary outcome meta-analysis. A total sample of 13,624 individuals was included in these five studies. A fixed effect model was used in the meta-analysis of these five studies and it revealed an association between cannabis and bipolar disorder with an effect size of 2.63 (95% CI: 1.95-3.53) (heterogeneity: chi² = 3.01, df = 3 (P = 0.39); I² = 0%). Our findings propose that cannabis use may precipitate or worsen bipolar disorder. This highlights the importance of the detrimental effect of cannabis use on bipolar disorder and the need to discourage cannabis use in the youth culture. High-quality prospective studies are required to delineate the effect of cannabis use on bipolar disorder.

Does circadian dysrhythmia drive the switch into high- or low-activation states in bipolar I disorder?

OBJECTIVES

Emerging evidence suggests a role of circadian dysrhythmia in the switch between "activation" states (i.e., objective motor activity and subjective energy) in bipolar I disorder.

METHODS

We examined the evidence with respect to four relevant questions: (1) Are natural or environmental exposures that can disrupt circadian rhythms also related to the switch into high-/low-activation states? (2) Are circadian dysrhythmias (e.g., altered rest/activity rhythms) associated with the switch into activation states in bipolar disorder? (3) Do interventions that affect the circadian system also affect activation states? (4) Are associations between circadian dysrhythmias and activation states influenced by other "third" factors?

RESULTS

Factors that naturally or experimentally alter circadian rhythms (e.g., light exposure) have been shown to relate to activation states; however future studies need to measure circadian rhythms contemporaneously with these natural/experimental factors. Actigraphic measures of circadian dysrhythmias are associated prospectively with the switch into high- or low-activation states, and more studies are needed to establish the most relevant prognostic actigraphy metrics in bipolar disorder. Interventions that can affect the circadian system (e.g., light therapy, lithium) can also reduce the switch into high-/low-activation states. Whether circadian rhythms mediate these clinical effects is an unknown but valuable question. The influence of age, sex, and other confounders on these associations needs to be better characterised.

CONCLUSION

Based on the reviewed evidence, our view is that circadian dysrhythmia is a plausible driver of transitions into high- and low-activation states and deserves prioritisation in research in bipolar disorders.

Social and environmental variables as predictors of mania: a review of longitudinal research findings

Considerable evidence suggests that psychosocial variables can shape the course of bipolar disorder. Here, though, we focus on the more specific idea that the social environment can predict the course of mania. We systematically review evidence from longitudinal studies concerning how social support, family interactions, traumatic life events, and recent life events relate to the age of onset, the frequency of episode recurrence, and the severity of manic symptoms. Although we find some evidence that the course of mania can be worsened by social environmental factors, the links are specific. Among social variables, some studies indicate that conflict and hostility are predictive, but more general social relationship qualities have not been found to predict mania. Some research indicates that childhood trauma, and recent life events involving goal attainment or sleep disruption can predict mania. Taken together, the profile of variables involving recent exposure that are most predictive include those that are activating, reward-related, or sleep-disrupting, which fits with general psychological hypotheses of behavioral activation and sleep disruption as important for mania. We discuss gaps in the literature, and we note future directions for research, including the need for more integrative, longitudinal research on a fuller range of social and biological risk variables.

Is early exposure to cannabis associated with bipolar disorder? Results from a Finnish birth cohort study

BACKGROUND AND AIMS

There are few longitudinal studies assessing the association of cannabis use and subsequent onset of bipolar disorder. We aimed to measure the association between early cannabis exposure and subsequent bipolar disorder.

DESIGN, SETTING AND PARTICIPANTS

Observational study linking a sample from the northern Finland birth cohort 1986 (n = 6325) to nation-wide register data to examine the association of life-time cannabis exposure at age 15/16 years and subsequent bipolar disorder until age 33 (until the end of 2018); 6325 individuals (48.8% males) were included in the analysis.

MEASUREMENTS

Cannabis exposure was measured via self-report. Bipolar disorder was measured via bipolar disorder-related diagnostic codes (ICD-10: F30.xx, F31.xx) collected from the Care Register for Health Care 2001-18, the Register of Primary Health Care Visits 2011-18, the medication reimbursement register of the Social Insurance Institution of Finland 2001-05 and the disability pensions of the Finnish Center for Pensions 2001-16. Potential confounders included demographic characteristics, parental psychiatric disorders, emotional and behavioral problems and other substance use.

FINDINGS

Three hundred and fifty-two adolescents (5.6%) reported any cannabis use until the age of 15-16 years. Of the whole sample, 66 (1.0%) were diagnosed with bipolar disorder. Adolescent cannabis use was associated with bipolar disorder [hazard ratio (HR) = 3.46; 95% confidence interval (CI) = 1.81-6.61]. This association remained statistically significant after adjusting for sex, family structure and parental psychiatric disorders (HR = 3.00; 95% CI = 1.47-6.13) and after further adjusting for adolescent emotional and behavioral problems (HR = 2.34; 95% CI = 1.11-4.94). Further adjustments for frequent alcohol intoxications, daily smoking and lifetime illicit drug use attenuated the associations to statistically non-significant.

CONCLUSIONS

In Finland, the positive association between early cannabis exposure and subsequent development of bipolar disorder appears to be confounded by other substance use.

Characteristics prior to and at time of diagnosis in pediatric bipolar disorder

OBJECTIVES

Describe symptoms before and at time of register-diagnosis in children and adolescents.

METHODS

A random sample was selected for chart-review from a Danish nationwide cohort of patients <18 years registered with an incident ICD-10 register-diagnosis of single hypomanic/manic episode or bipolar disorder between 1995 and 2014. Patients with symptoms which adequately documented a BD diagnosis in the chart were included for analysis.

RESULTS

521 were diagnosed in the study period. A random sample of 25% were selected, and 106 charts were possible to retrieve, with 48 chart reviews resulting in confirmation of diagnosis. Time from first reported affective symptoms to diagnosis was 2.6 ± 2.7 years for depressive symptoms, 2.5 ± 2.9 years for mixed symptoms, 1.4 ± 1.6 years for hypomanic symptoms, and 0.4 ± 0.5 years for manic symptoms. A hierarchical clustering analysis revealed three patient-profiles: primarily hypomanic/manic, primarily depressive, and more rare, primarily mixed profile. Frequently reported symptoms prior to diagnosis include anhedonia (79%), irritability (71%), hyperactivity (62.5%), decreased energy (62.5%), and psychotic symptoms (52%).Symptoms of ADHD (19%), comorbid ADHD (15%), symptoms of anxiety (52%), comorbid anxiety (4%), suicidal thoughts (50%), suicide attempts (8%), cutting (23%), substance misuse (21%), and criminal activity (10%) were reported before incident BD diagnosis.

CONCLUSION

The observed patient-profiles leading to diagnosis were primarily manic or depressive, resembling presentations in adults. The presence of ADHD, anxiety, suicide attempts, cutting, and criminal activity prior to diagnosis emphasizes the need for treatment of children and adolescents with affective symptoms. The gap from appearance of the symptoms to diagnosis suggests a window for earlier treatment.

Associations between cannabis use, cannabis use disorder, and mood disorders: longitudinal, genetic, and neurocognitive evidence

RATIONALE

Cannabis use among people with mood disorders increased in recent years. While comorbidity between cannabis use, cannabis use disorder (CUD), and mood disorders is high, the underlying mechanisms remain unclear.

OBJECTIVES

We aimed to evaluate (1) the epidemiological evidence for an association between cannabis use, CUD, and mood disorders; (2) prospective longitudinal, genetic, and neurocognitive evidence of underlying mechanisms; and (3) prognosis and treatment options for individuals with CUD and mood disorders.

METHODS

Narrative review of existing literature is identified through PubMed searches, reviews, and meta-analyses. Evidence was reviewed separately for depression, bipolar disorder, and suicide.

RESULTS

Current evidence is limited and mixed but suggestive of a bidirectional relationship between cannabis use, CUD, and the onset of depression. The evidence more consistently points to cannabis use preceding onset of bipolar disorder. Shared neurocognitive mechanisms and underlying genetic and environmental risk factors appear to explain part of the association. However, cannabis use itself may also influence the development of mood disorders, while others may initiate cannabis use to self-medicate symptoms. Comorbid cannabis use and CUD are associated with worse prognosis for depression and bipolar disorder including increased suicidal behaviors. Evidence for targeted treatments is limited.

CONCLUSIONS

The current evidence base is limited by the lack of well-controlled prospective longitudinal studies and clinical studies including comorbid individuals. Future studies in humans examining the causal pathways and potential mechanisms of the association between cannabis use, CUD, and mood disorder comorbidity are crucial for optimizing harm reduction and treatment strategies.

Cannabis Use is an Independent Risk Factor for Manic Episode: A Report from 380,265 Bipolar Inpatients

OBJECTIVES

To evaluate the odds for bipolar disorder (BP) mania and depression-related hospitalization due to cannabis use disorders (CUD).

METHODS

We conducted a cross-sectional study using the national inpatient sample (NIS), and included adult BP hospitalizations sub-grouped by manic (N = 209,785) versus depressive episodes (N = 170480). A logistic regression model was used to evaluate adjusted odds ratio (aOR) of association between CUD and BP-mania-related hospitalizations and was adjusted for demographics confounders, psychiatric comorbidities and other substance use disorders (SUD).

RESULTS

Comorbidities were less prevalent in BP mania compared to BP depression: anxiety disorders (22.7% vs. 35.3%), PTSD (8.7% vs. 14.3%), and personality disorders (15.4% vs. 20.5%). Among SUD, methamphetamine (aOR 1.27, 95%CI 1.22 - 1.32) and CUD (aOR 1.53, 95%CI 1.50 - 1.56) had increased odds for hospitalization for BP mania.

CONCLUSION

CUD increases the odds for hospitalization for BP manic episode by 53%. Due to the rising prevalence of cannabis use among patients with BP it is important to provide substance use counseling/psychoeducation and discourage cannabis use among youth to prevent long-term adverse consequences.

Substance use as a risk factor for bipolar disorder: A systematic review

Detecting substance use as a predictor of bipolar disorder (BD) is important for clinicians to perform accurate and early diagnosis, as well as better manage the treatment of individuals with BD. The aim of this systematic review was to describe whether substance use is a predictor of BD. A literature search was conducted using the following databases: PubMed, PsycINFO, and Embase. All eligible studies published up to February 9, 2021 were included. This systematic review included 22 studies. We found that 66.7% of the studies assessing overall substance use found that overall substance use was a risk factor for BD. Regarding the specific substances assessed, cannabis use was described as a risk factor for BD in 55.6% of the studies, nonmedical use of prescription medications was a risk factor for BD in 50% of the studies, nicotine was found as a risk factor for BD in 50% of the studies, and alcohol use was described as a risk factor for BD in 42.9% of the studies assessing it. Only one study assessed whether cocaine use was a risk factor for BD and found a significant association. Interestingly, some studies suggested that the greater frequency of cannabis use was associated with greater risk to develop BD or hypomanic/manic symptoms. In conclusion, there is evidence supporting that substance use is a risk factor for BD. Importantly, when assessing the risk factors for BD related to psychoactive substance use, special attention should be given for the frequency of cannabis use.

Risk factors for new-onset bipolar disorder in a community cohort: A five-year follow up study

The aim of this study was to assess the risk factors for new-onset Bipolar Disorder (BD) in a community sample of young adults. This is a prospective cohort study including a population-based sample of young adults aged between 18-24 years. The baseline took place from 2007 to 2009, and 1560 subjects were included. Five years after, 1244 individuals were re-evaluated (79.7% retention). Substance abuse/dependence was assessed using the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST), and mental disorders were assessed using the Mini International Neuropsychiatric Interview 5.0 (MINI) at both waves. The cumulative incidence of BD in five years was 4.6%. There was no significant association between sociodemographic factors and BD incidence. Tobacco, cannabis, cocaine/crack, other substances abuse/dependence increased the relative risk for BD. Depressive, anxiety, post-traumatic stress disorders, and the suicide risk increased the relative risk to BD. Depressive episode was the strongest risk factor for BD, followed by other mental disorders and substance abuse/dependence in a probabilistic community sample of young adults. Preventive actions in mental health directed at the non-clinical population are needed for early detection and better management of BD.

'Pediatric Bipolar Disorder' rates are still lower than claimed: a re-examination of eight epidemiological surveys used by an updated meta-analysis

Background

‘Pediatric bipolar disorder’ (PBD) is a controversial diagnosis with varying rates of clinical diagnosis. A highly cited meta-analysis (Van Meter et al. 2011) of a dozen epidemiological surveys suggested a global community prevalence of PBD of 1.8%. This was updated to 3.9% with eight additional surveys (Van Meter et al. 2019a). In terms of the Cochrane Handbook for Systematic Reviews of Interventions, the heterogenous community surveys were arguably unsuitable for statistical meta-analysis and warranted a narrative analysis. A narrative analysis (Parry et al. 2018) of the original 12 surveys concluded rates of PBD were substantially lower than 1.8% and led to a nine-article debate on the validity, arguable overdiagnosis and iatrogenic aspects of the PBD diagnosis (e.g. Carlson and Dubicka Child Adolesc Mental Health 21:86–87, 2019). This article extends the narrative analysis to include the eight newer community surveys.

Methods

A narrative analysis of the methodologies and the prevalence rates reported by the epidemiological surveys.

Results

Across all twenty surveys there was significant variation in methodologies and reported prevalence rates. Of the eight newer surveys, five (two Brazilian, one English, one Turkish, one United States) provided information of pre-adolescent prevalence rates of bipolar spectrum disorder. These pre-adolescent rates were zero or close to zero. Rates of adolescent hypomania and mania were higher, but follow-up data in two studies suggested hypomania might sometimes achieve prolonged remission or not lead to adult bipolar disorder.

Limitations

Methods in the original surveys vary and criteria used for various bipolar diagnoses were not always fully described. This limitation applies to a narrative analysis but also to a statistical meta-analysis.

Conclusion

Bipolar disorder is very rare in childhood and rare in adolescence. PBD as a diagnostic construct fails to correlate with adult bipolar disorder and the term should be abandoned. Hypomanic syndromes in adolescence may not always progress to adult bipolar disorder. Early diagnosis of bipolar disorder is important, but over-diagnosis risks adverse iatrogenic consequences.

Precursors of self-reported subclinical hypomania in adolescence: A longitudinal general population study

Symptoms of subclinical hypomania (SHM) are common in the general population of adolescents and young adults. SHM are most often transient yet might be risk markers of later bipolar disorder. The current study aimed to assess the clinical correlates of SHM at age 11 in the general population, examine the continuity of SHM from age 11-age 16 and explore the clinical precursors of age 16 SHM. As part of the Copenhagen Child Cohort 2000, 1,632 preadolescents participated in the examination of SHM and various clinical correlates at age 11, 893 were re-assessed for SHM at age 16 years. At age 11, SHM, psychotic experiences and depressive symptoms were assessed by semi-structured psychopathological interviews. Furthermore, the participants were diagnostically assessed by the Development and Well-Being Assessment and interviewed about sleep length. At age 16, SHM was assessed by self-report, using the Hypomania Checklist-32. Cannabis use occurring at age 15 or earlier was assessed at age 16. At age 11, SHM was associated with depressive disorders (Relative Risk [RR] = 2.96 [95% CI 1.26–6.96]), interview-based depressive symptoms (RR = 9.22 [5.93–14.34]), neurodevelopmental disorders (RR = 2.94 [1.66–5.20]), psychotic experiences (RR = 4.51 [2.90–7.01]) and insufficient sleep (RR = 2.10 [1.28–3.43]. In the longitudinal analyses, age 16 SHM was preceded by age 11 SHM (RR = 1.89 [1.02–3.49]), psychotic experiences (RR = 2.06, [1.28–3.33]), emotional disorders (RR = 1.77, [1.02–3.09]) and cannabis use (RR = 3.14, [1.93–5.10]), after mutual adjustment and adjustment for sex, and sociodemographic factors. In conclusion, age 11 SHM was statistically significantly associated with other types of psychopathology in cross-sectional analyses and showed some continuity with later self-reported SHM at age 16. Particularly early psychotic experiences and cannabis use stood out as independent precursors of self-reported SHM and might constitute important risk markers for the development of future SHM and bipolar disorder. An important potential caveat of the current study includes the self-report assessment of SHM.

Clinical characteristic of prodromal symptoms between bipolar I and II disorder among Chinese patients: a retrospective study

BACKGROUND

This study aimed to identify the clinical characteristic of prodromal symptoms in Chinese patients with bipolar disorder (BD), prior to the first affective episode. It further aimed to characterize the prodromal traits between bipolar disorder type I (BD-I) and type II (BD-II).

METHODS

120 individuals with BD-I (n = 92) and BD- II (n = 28) were recruited to the study. Semi-structured interviews were then administered to evaluate prodromal symptoms in patients, within 3 years of BD onset, by using the Bipolar Prodrome Symptom Scale-Retrospective (BPSS-R).

RESULTS

In the prodromal phase of the first depressive episode, patients with BD-II experienced more prodromal symptoms (p = 0.0028) compared to BD-I. Additionally, more frequent predictors were reported in patients with BD-II than BD-I including educational and occupational dysfunction (p = 0.0023), social isolation (p < 0.001), difficulty making decisions (p = 0.0012), oppositionality (p = 0.012), and suspiciousness/persecutory ideas (p = 0.017). There were also differences in the duration of the precursors. The duration of "weight loss or decrease in appetite" (p = 0.016) lasted longer in patients with BD-I, while "obsessions and compulsions" (p = 0.023) started earlier in patients with BD-II and occurred during the pre-depressive period. The prevalence and duration of each reported prodrome, preceding a first (hypo) manic episode, showed no difference between patients with BD-I and BD-II.

CONCLUSIONS

Specific affective, general, or psychotic symptoms occurred prior to both affective episodes. The characteristic of prodromal symptoms were key predictors for later episodes of BD including attenuated mania-like symptoms, subthreshold depressed mood, mood swings/lability, and anxiety. In the pre-depressive state, when compared to BD-II, BD-I presented with more prodromal symptoms in nonspecific dimensions, which indicated the substantial burden of BD-II. In conclusion, this study extends the understanding of the characteristics of prodromes of BD-I and BD-II.

Psychopathological precursors of the onset of mood disorders in offspring of parents with and without mood disorders: results of a 13-year prospective cohort high-risk study

BACKGROUND

There is still limited evidence from prospective high-risk research on the evolution of specific disorders that may emerge early in the development of mood disorders. Moreover, few studies have examined the specificity of mood disorder subtypes among offspring of parents with both major subtypes of mood disorders and controls based on prospective tracking across the transition from childhood to adulthood. Our specific objectives were to (a) identify differences in patterns of psychopathological precursors among youth with (hypo)mania compared to MDD and (b) examine whether these patterns differ by subtypes of parental mood disorders.

METHODS

Our data stem from a prospective cohort study of 449 directly interviewed offspring (51% female, mean age 10.1 years at study intake) of 88 patients with BPD, 71 with MDD, 30 with substance use disorders and 60 medical controls. The mean duration of follow-up was 13.2 years with evaluations conducted every three years.

RESULTS

Within the whole cohort of offspring, MDE (Hazard Ratio = 4.44; 95%CI: 2.19-9.02), CD (HR = 3.31;1.55-7.07) and DUD (HR = 2.54; 1.15-5.59) predicted the onset of (hypo)manic episodes, whereas MDD in offspring was predicted by SAD (HR = 1.53; 1.09-2.15), generalized anxiety (HR = 2.56; 1.05-6.24), and panic disorder (HR = 3.13; 1.06-9.23). The early predictors of (hypo)mania in the whole cohort were also significantly associated with the onset of (hypo)mania among the offspring of parents with BPD.

CONCLUSIONS

The onset of mood disorders is frequently preceded by identifiable depressive episodes and nonmood disorders. These precursors differed by mood subtype in offspring. High-risk offspring with these precursors should be closely monitored to prevent the further development of MDD or conversion to BPD.

The Effect of Traumatic Events on the Longitudinal Course and Outcomes of Youth with Bipolar Disorder

BACKGROUND

Exposure to severe Traumatic Events (TEs) has been associated with poor course and outcomes among individuals with Bipolar Disorder (BD). However, there is limited research on TEs among youth with BD, and few studies are longitudinal. This study prospectively followed a large sample of BD youth, examining the associations of lifetime TEs with their mood and functioning.

METHODS

BD participants (n=375; mean age=17; range 8-25y) were assessed, on average, every 7 months for a median 8.7 years. Psychopathology and lifetime trauma history were prospectively evaluated using the Longitudinal Interval Follow-Up Evaluation, and a traumatic events screening.

RESULTS

Accounting for covariates, participants with one or more lifetime TEs (84%) showed earlier BD onset, poorer psychosocial functioning, worse mood symptoms, and more suicidal ideation, comorbidities, and family psychopathology than those without TEs. TEs during recovery periods increased recurrence risk (p<0.02). More TEs were associated with poorer mood course, particularly among victims of violence/abuse (p<0.02). Abused participants (34% physical; 17% sexual) showed earlier onset of substance use disorders, more suicidality and comorbidities compared to those without abuse. Comparisons of mood course before and after abuse occurred, and with participants without abuse, showed worsening mood symptoms after, specifically hypo/mania (p<0.03).

LIMITATIONS

Prospective data was gathered longitudinally but assessed retrospectively at every follow-up; given approximate dates causality cannot be inferred; TEs severity was not assessed.

CONCLUSIONS

Severe TEs, particularly abuse, were associated with poorer course and outcomes among BD youth. Prompt screening of trauma and early intervention may be warranted to minimize TEs impact.

Cannabis use in early adulthood is prospectively associated with prescriptions of antipsychotics, mood stabilizers, and antidepressants

OBJECTIVE

Cannabis is an acknowledged risk factor for some mental disorders, but for others the evidence is inconclusive. Prescribed medicinal drugs can be used as proxies for mental disorders. In this study, we investigate how use of cannabis is prospectively related to prescription of antipsychotics, mood stabilizers, antidepressants, and anxiolytics.

METHODS

Data on cannabis exposure and relevant confounders were obtained from 2,602 individuals in the longitudinal Young in Norway Study, providing survey data from four data collection waves between 1992 and 2006. Data were coupled with information about prescriptions for psychotropic drugs from the Norwegian Prescription Database between 2007 and 2015.

RESULTS

Past year cannabis use increased the risk of prescription of antipsychotics (OR = 5.56, 95 % CI 1.64 - 18.87), mood stabilizers (OR = 5.36, 95 % CI 1.99 - 14.44) and antidepressants (OR = 2.10, 95 % CI 1.36 - 3.25), after accounting for sociodemographic variables, conduct problems, additional drug use, mental distress, and prescriptions the year before cannabis use was measured.

CONCLUSIONS

In this study of young adults from the general population, past year cannabis use was associated with later prescriptions of antipsychotics, mood stabilizers, and antidepressants.

Cannabis and Cannabinoids in Mood and Anxiety Disorders: Impact on Illness Onset and Course, and Assessment of Therapeutic Potential

BACKGROUND AND OBJECTIVES

Cannabis use is common in people with and mood and anxiety disorders (ADs), and rates of problematic use are higher than in the general population. Given recent policy changes in favor of cannabis legalization, it is important to understand how cannabis and cannabinoids may impact people with these disorders. We aimed to assess the effects of cannabis on the onset and course of depression, bipolar disorder, ADs, and post-traumatic stress disorder (PTSD), and also to explore the therapeutic potential of cannabis and cannabinoids for these disorders.

METHODS

A systematic review of the literature was completed. The PubMed® database from January 1990 to May 2018 was searched. We included longitudinal cohort studies, and also all studies using cannabis or a cannabinoid as an active intervention, regardless of the study design.

RESULTS

Forty-seven studies were included: 32 reported on illness onset, nine on illness course, and six on cannabinoid therapeutics. Cohort studies varied significantly in design and quality. The literature suggests that cannabis use is linked to the onset and poorer clinical course in bipolar disorder and PTSD, but this finding is not as clear in depression and anxiety disorders (ADs). There have been few high-quality studies of cannabinoid pharmaceuticals in clinical settings.

CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE

These conclusions are limited by a lack of well-controlled longitudinal studies. We suggest that future research be directed toward high-quality, prospective studies of cannabis in clinical populations with mood and ADs, in addition to controlled studies of cannabinoid constituents and pharmaceuticals in these populations. (Am J Addict 2019;00:00-00).

Bipolar disorder and the endocannabinoid system

OBJECTIVE

Bipolar disorder (BD) is a debilitating, lifelong neuropsychiatric illness characterised by unsteady mood states which vacillate from (hypo)mania to depression. Despite the availability of pharmaceutical agents which can be effective in ameliorating the acute affective symptoms and prevent episodic relapse, BD is inadequately treated in a subset of patients. The endocannabinoid system (ECS) is known to exert neuromodulatory effects on other neurotransmitter systems critical in governing emotions. Several studies ranging from clinical to molecular, as well as anecdotal evidence, have placed a spotlight on the potential role of the ECS in the pathophysiology of BD. In this perspective, we present advantages and disadvantages of cannabis use in the management of illness course of BD and provide mechanistic insights into how this system might contribute to the pathophysiology of BD.

RESULTS

We highlight the putative role of selective cannabinoid receptor 2 (CB2) agonists in BD and briefly discuss findings which provide a rationale for targeting the ECS to assuage the symptoms of BD. Further, data encourage basic and clinical studies to determine how cannabis and cannabinoids (CBs) can affect mood and to investigate emerging CB-based options as probable treatment approaches.

CONCLUSION

The probable role of the ECS has been almost neglected in BD; however, from data available which suggest a role of ECS in mood control, it is justified to support conducting comprehensive studies to determine whether ECS manipulation could positively affect BD. Based on the limited available data, we suggest that activation of CB2 may stabilise mood in this disorder.

Cannabis Use and Hypomania in Young People: A Prospective Analysis

BACKGROUND

Cannabis use in young people is common and associated with psychiatric disorders. However, the prospective link between cannabis use and bipolar disorder symptoms has rarely been investigated. The study hypothesis was that adolescent cannabis use is associated with hypomania in early adulthood via several potential etiological pathways.

METHODS

Data were used from the Avon Longitudinal Study of Parents and Children, a UK birth cohort study. The prospective link between cannabis use at age 17 and hypomania at age 22-23 years was tested using regression analysis, adjusted for gender, early environmental risk factors, alcohol and drug use, and depression and psychotic symptoms at age 18 years. Path analysis examined direct and indirect effects of the link and whether gender, childhood family adversity, or childhood abuse are associated with hypomania via an increased risk of cannabis use.

RESULTS

Data were available on 3370 participants. Cannabis use at least 2-3 times weekly was associated with later hypomania (OR = 2.21, 95% CI = 1.49-3.28) after adjustment. There was a dose-response relationship (any use vs weekly). Cannabis use mediated the association of both childhood sexual abuse and hypomania, and male gender and hypomania. The cannabis use-hypomania link was not mediated by depression or psychotic symptoms.

CONCLUSIONS

Adolescent cannabis use may be an independent risk factor for future hypomania, and the nature of the association suggests a potential causal link. Cannabis use mediates the link between childhood abuse and future hypomania. As such it might be a useful target for indicated prevention of hypomania.

Epidemiology and risk factors for bipolar disorder

Bipolar disorder is a multifactorial illness with uncertain aetiology. Knowledge of potential risk factors enables clinicians to identify patients who are more likely to develop bipolar disorder, which directs further investigation, follow up and caution when prescribing. Ideally, identifying directly causative factors for bipolar disorder would enable intervention on an individual or population level to prevent the development of the illness, and improve outcomes through earlier treatment. This article reviews the epidemiology of bipolar disorder, along with putative demographic, genetic and environmental risk factors, while assessing the strength of these associations and to what extent they might be said to be 'causative'. While numerous genetic and environmental risk factors have been identified, the attributable risk of individual factors is often small, and most are not specific to bipolar disorder but are associated with several mental illnesses. Therefore, while some genetic and environmental factors have strong evidence supporting their association with bipolar disorder, fewer have sufficient evidence to establish causality. There is increasing interest in the role of specific gene-environment interactions, as well as the mechanisms by which risk factors interact to lead to bipolar disorder.

The International Society for Bipolar Disorders Task Force report on pediatric bipolar disorder: Knowledge to date and directions for future research

OBJECTIVES

Over the past two decades, there has been tremendous growth in research regarding bipolar disorder (BD) among children and adolescents (ie, pediatric BD [PBD]). The primary purpose of this article is to distill the extant literature, dispel myths or exaggerated assertions in the field, and disseminate clinically relevant findings.

METHODS

An international group of experts completed a selective review of the literature, emphasizing areas of consensus, identifying limitations and gaps in the literature, and highlighting future directions to mitigate these gaps.

RESULTS

Substantial, and increasingly international, research has accumulated regarding the phenomenology, differential diagnosis, course, treatment, and neurobiology of PBD. Prior division around the role of irritability and of screening tools in diagnosis has largely abated. Gold-standard pharmacologic trials inform treatment of manic/mixed episodes, whereas fewer data address bipolar depression and maintenance/continuation treatment. Adjunctive psychosocial treatment provides a forum for psychoeducation and targets primarily depressive symptoms. Numerous neurocognitive and neuroimaging studies, and increasing peripheral biomarker studies, largely converge with prior findings from adults with BD.

CONCLUSIONS

As data have accumulated and controversy has dissipated, the field has moved past existential questions about PBD toward defining and pursuing pressing clinical and scientific priorities that remain. The overall body of evidence supports the position that perceptions about marked international (US vs elsewhere) and developmental (pediatric vs adult) differences have been overstated, although additional research on these topics is warranted. Traction toward improved outcomes will be supported by continued emphasis on pathophysiology and novel therapeutics.

Longitudinal changes in the antecedent and early manifest course of bipolar disorder-A narrative review of prospective studies

OBJECTIVE

Prospective study designs ideally allow patients to be followed from the first manifestations of the illness or even from an at-risk stage. It can thus provide data on the predictive value of changes in clinical symptomatology, cognition or further biological markers to broaden our understanding of the etiopathology and symptomatic trajectory of bipolar disorders. The scope of this narrative review is to summarize evidence from prospectively collected data on psychopathological and other clinical and biological changes in the early developmental course of bipolar disorders.

METHODS

The narrative review was based on a literature search conducted in February 2016 within the PubMed library for prospective study data of persons in antecedent and early manifest stages of manifest bipolar disorder published within the last 15 years.

RESULTS

A total of 19 prospective studies were included. Regarding psychopathological features; personality, temperament and character traits as well as changes in sleep and circadian rhythm, the evidence suggests that risk factors for the development of bipolar disorder can already be described and should be studied further to understand their interaction, mediation with other factors and timing in the developmental process of bipolar disorder. Apart from the positive family history, childhood anxiety, sleep problems, subthreshold (hypo)manic symptoms and certain character traits/emotionality should be identified and monitored already in clinical practice as their presence likely increases risk of bipolar disorder. Up to date no substantiated evidence was found from prospective studies addressing cognitive features, life events, immunological parameters and morphological central nervous system changes as potential risk factors for bipolar disorder.

CONCLUSION

For an improved understanding of episodic disorders, longitudinal data collection is essential. Since the etiology of bipolar disorders is complex, a number of potential risk factors have been proposed. Prospective studies addressing this spectrum and resilience factors are critical and will be best conducted within multi-site research networks or initiatives.

The predictive value of childhood subthreshold manic symptoms for adolescent and adult psychiatric outcomes

BACKGROUND

Childhood subthreshold manic symptoms may represent a state of developmental vulnerability to Bipolar Disorder (BD) and may also be associated with other adverse psychiatric outcomes. To test this hypothesis we examined the structure and predictive value of childhood subthreshold manic symptoms for common psychiatric disorders presenting by early adulthood.

METHODS

Subthreshold manic symptoms at age 11 years and lifetime clinical outcomes by age 19 years were ascertained in the TRacking Adolescents' Individual Lives Survey (TRAILS), a prospective Dutch community cohort. We used latent class analysis to identify subthreshold manic symptom profiles at baseline. The association between class membership and subsequent clinical diagnoses of BD (comprising BD-I, BD-II, mania and hypomania), depressive, anxiety and substance abuse disorders was determined using Cox proportional-hazard ratio (HR) models.

RESULTS

At age 11 years, we identified a normative (n=916; 47%), a mildly symptomatic (n=843; 43%) and a highly symptomatic class (n=198; 10%). Referenced to the normative class, the sex- and age-adjusted risk of new-onset BD by the age of 19 years was significantly increased in the mildly (HR=2.01, 95%CI 1.13-3.59) and highly symptomatic classes (HR=5.02, 95%CI 2.48-10.16). These estimates remained significant after further adjustments for cognitive and family function, parental socioeconomic status, parental psychiatric morbidity, and comorbid disorders at baseline (p-value for linear trend across classes<0.01). Class membership did not show significant associations with incident depressive, anxiety and substance abuse disorders in the fully adjusted regression models.

LIMITATIONS

The period of risk for adult-onset BD extends beyond the observational period of the study.

CONCLUSIONS

Elevated childhood subthreshold manic symptoms are associated with increased risk of BD by early adulthood and are therefore a potentially useful phenotype for the early identification of at-risk individuals.

Towards person-centered neuroimaging markers for resilience and vulnerability in Bipolar Disorder

Improved clinical care for Bipolar Disorder (BD) relies on the identification of diagnostic markers that can reliably detect disease-related signals in clinically heterogeneous populations. At the very least, diagnostic markers should be able to differentiate patients with BD from healthy individuals and from individuals at familial risk for BD who either remain well or develop other psychopathology, most commonly Major Depressive Disorder (MDD). These issues are particularly pertinent to the development of translational applications of neuroimaging as they represent challenges for which clinical observation alone is insufficient. We therefore applied pattern classification to task-based functional magnetic resonance imaging (fMRI) data of the n-back working memory task, to test their predictive value in differentiating patients with BD (n=30) from healthy individuals (n=30) and from patients' relatives who were either diagnosed with MDD (n=30) or were free of any personal lifetime history of psychopathology (n=30). Diagnostic stability in these groups was confirmed with 4-year prospective follow-up. Task-based activation patterns from the fMRI data were analyzed with Gaussian Process Classifiers (GPC), a machine learning approach to detecting multivariate patterns in neuroimaging datasets. Consistent significant classification results were only obtained using data from the 3-back versus 0-back contrast. Using contrast, patients with BD were correctly classified compared to unrelated healthy individuals with an accuracy of 83.5%, sensitivity of 84.6% and specificity of 92.3%. Classification accuracy, sensitivity and specificity when comparing patients with BD to their relatives with MDD, were respectively 73.1%, 53.9% and 94.5%. Classification accuracy, sensitivity and specificity when comparing patients with BD to their healthy relatives were respectively 81.8%, 72.7% and 90.9%. We show that significant individual classification can be achieved using whole brain pattern analysis of task-based working memory fMRI data. The high accuracy and specificity achieved by all three classifiers suggest that multivariate pattern recognition analyses can aid clinicians in the clinical care of BD in situations of true clinical uncertainty regarding the diagnosis and prognosis.

Joint Effects: A Pilot Investigation of the Impact of Bipolar Disorder and Marijuana Use on Cognitive Function and Mood

Marijuana is the most widely used illicit substance in those diagnosed with bipolar I disorder. However, there is conflicting evidence as to whether marijuana may alleviate or exacerbate mood symptomatology. As bipolar disorder and marijuana use are individually associated with cognitive impairment, it also remains unclear whether there is an additive effect on cognition when bipolar patients use marijuana. The current study aimed to determine the impact of marijuana on mood in bipolar patients and to examine whether marijuana confers an additional negative impact on cognitive function. Twelve patients with bipolar disorder who smoke marijuana (MJBP), 18 bipolar patients who do not smoke (BP), 23 marijuana smokers without other Axis 1 pathology (MJ), and 21 healthy controls (HC) completed a neuropsychological battery. Further, using ecological momentary assessment, participants rated their mood three times daily as well as after each instance of marijuana use over a four-week period. Results revealed that although the MJ, BP, and MJBP groups each exhibited some degree of cognitive impairment relative to HCs, no significant differences between the BP and MJBP groups were apparent, providing no evidence of an additive negative impact of BPD and MJ use on cognition. Additionally, ecological momentary assessment analyses indicated alleviation of mood symptoms in the MJBP group after marijuana use; MJBP participants experienced a substantial decrease in a composite measure of mood symptoms. Findings suggest that for some bipolar patients, marijuana may result in partial alleviation of clinical symptoms. Moreover, this improvement is not at the expense of additional cognitive impairment.

Screening the risk of bipolar spectrum disorders: Validity evidence of the Mood Disorder Questionnaire in adolescents and young adults

The aim of this study was to gather sources of validity evidence of the Mood Disorder Questionnaire (MDQ) in young adults for its use as a screening tool for bipolar spectrum disorders. The sample was composed of 1,002 participants, 268 men (26.7%). The mean age of participants was 21.1 years (SD=3.9). The results showed that between 3 and 59% of the sample reported some hypomanic experience. Gender differences were found in the total score of the MDQ. The analysis of the internal structure by exploratory factor analysis yielded 2 factors, called Energy-Activity and Disinhibition-Attention. This dimensional structure was replicated in the exploratory structural equation modeling (ESEM), and also had factorial equivalence by gender. Participants who met the cut-off points of the MDQ reported a worse perceived mental health status and more consummatory and anticipatory pleasure, compared to the low scores group. These findings indicate that the MDQ has adequate psychometric properties in non-clinical samples, and could be useful as a screening tool in psychopathology, with the possibility of optimizing strategies for early identification and prevention in individuals at high risk for bipolar disorders. Future studies should further explore the role of subclinical bipolar phenotype and conduct longitudinal studies in samples of the general population.

The 'Early Developmental Stages of Psychopathology (EDSP) study': a 20-year review of methods and findings

PURPOSE

The "Early Developmental Stages of Psychopathology (EDSP)" study is a prospective-longitudinal study program in a community sample (Munich, Germany) of adolescents and young adults. The program was launched in 1994 to study the prevalence and incidence of psychopathological syndromes and mental disorders, to describe the natural course and to identify vulnerability and risk factors for onset and progression as well as psychosocial consequences. This paper reviews methods and core outcomes of this study program.

METHODS

The EDSP is based on an age-stratified random community sample of originally N = 3021 subjects aged 14-24 years at baseline, followed up over 10 years with up to 3 follow-up waves. The program includes a family genetic supplement and nested cohorts with lab assessments including blood samples for genetic analyses. Psychopathology was assessed with the DSM-IV/M-CIDI; embedded dimensional scales and instruments assessed vulnerability and risk factors.

RESULTS

Beyond the provision of age-specific prevalence and incidence rates for a wide range of mental disorders, analyses of their patterns of onset, course and interrelationships, the program identified common and diagnosis-specific distal and proximal vulnerability and risk factors including critical interactions.

CONCLUSIONS

The EDSP study advanced our knowledge on the developmental pathways and trajectories, symptom progression and unfolding of disorder comorbidity, highlighting the dynamic nature of many disorders and their determinants. The results have been instrumental for defining more appropriate diagnostic thresholds, led to the derivation of symptom progression models and were helpful to identify promising targets for prevention and intervention.

The Use of Cannabis as a Predictor of Early Onset of Bipolar Disorder and Suicide Attempts

Introduction. Bipolar disorder (BD) implies risk of suicide. The age at onset (AAO) of BD carries prognostic significance. Substance abuse may precede the onset of BD and cannabis is the most common illicit drug used. The main goal of this study is to review the association of cannabis use as a risk factor for early onset of BD and for suicide attempts. Materials and Methods. PubMed database was searched for articles using key words “bipolar disorder,” “suicide attempts,” “cannabis,” “marijuana,” “early age at onset,” and “early onset.” Results. The following percentages in bipolar patients were found: suicide attempts 3.6–42%; suicide attempts and substance use 5–60%; suicide attempts and cannabis use 15–42%. An early AAO was associated with cannabis misuse. The mean age of the first manic episode in individuals with and without BD and cannabis use disorder (CUD) was 19.5 and 25.1 years, respectively. The first depressive episode was at 18.5 and 24.4 years, respectively. Individuals misusing cannabis showed increased risk of suicide. Discussion. Cannabis use is associated with increased risk of suicide attempts and with early AAO. However, the effect of cannabis at the AAO and suicide attempts is not clear.

The relationship between bipolar disorder and cannabis use in daily life: an experience sampling study

Objectives

Although cannabis use is common in bipolar disorder and may contribute to worse clinical outcomes, little is understood about the relationship between this drug and bipolar disorder over the course of daily life. The aim of study was to examine the effect of cannabis on affect and bipolar symptoms in a group of individuals with bipolar disorder.

Methods

Twenty-four participants with bipolar disorder type I or type II completed diaries for 6 days using Experience Sampling Methodology to investigate the temporal associations between cannabis, affect and bipolar disorder symptoms.

Results

The results indicated that higher levels of positive affect increase the odds of using cannabis (OR:1.25 ,CI:1.06–1.47, P=0.008). However, neither negative affect, manic nor depressive symptoms predicted the use of cannabis. Cannabis use was associated with subsequent increases in positive affect (β=0.35, CI:0.20-0.51, P=0.000), manic symptoms (β=0.20,CI:0.05-0.34, P=0.009) and depressive symptoms (β= 0.17,CI:0.04-0.29, P=0.008).

Conclusion

The findings indicate that cannabis use is associated with a number of subsequent psychological effects. However there was no evidence that individuals with BD were using cannabis to self-medicate minor fluctuations in negative affect or bipolar disorder symptoms over the course of daily life. The findings in relation to existing literature and clinical implications are discussed.

Cannabis and bipolar disorder: does quitting cannabis use during manic/mixed episode improve clinical/functional outcomes?

OBJECTIVE

To examine whether bipolar disorder patients who stop cannabis use during a manic/mixed episode have better clinical and functional outcomes than continued use or never use.

METHOD

Data from the European Mania in Bipolar Longitudinal Evaluation of Medication (EMBLEM), a 2-year prospective observational study in adults with a manic/mixed episode of bipolar disorder, was used. Three cannabis use groups were: current use (between 12-week and 24-month visits); no current but previous use (during first 12 weeks); and never use. Associations between cannabis use and outcomes were analyzed using regression models.

RESULTS

Of 1922 patients analyzed, 6.9% were current users, 4.6% previous users, and 88.5% never users. Clinical outcomes differed between groups (P<0.019): previous users had highest rates of remission (68.1%) and recovery (38.7%), and lowest rates of recurrence (42.1%) and relapse (29.8%). Logistic regression showed previous users had similar outcomes to never users (all P>0.05), whereas current users had lower recovery (P=0.004) and remission (P=0.014), higher recurrence (P=0.014), greater work impairment (P=0.016), and were more likely not to be living with partner (P=0.006) than never users.

CONCLUSION

Bipolar patients who stop using cannabis during manic/mixed episode have similar clinical and functional outcomes to never users, while continued use is associated with higher risk of recurrence and poorer functioning.

The association between cannabis use and mood disorders: A longitudinal study

BACKGROUND

The association between cannabis use and mood disorders is well documented, yet evidence regarding causality is conflicting. This study explored the association between cannabis use, major depressive disorder (MDD) and bipolar disorder (BPD) in a 3-year prospective study.

METHODS

Data was drawn from waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). MDD and BPD were controlled at baseline and defined as meeting full criteria in the 12 months prior to the follow-up. Initiation of cannabis use was defined as any cannabis used by former lifetime abstainers in the time period between baseline and follow-up.

RESULTS

Cannabis use was not significantly associated with increased incidence of MDD (Adjusted Odds Ratio (AOR) for daily use=0.58(0.22-1.51)). Weekly to almost daily cannabis use was associated with increased incidence of BPD ((AOR for weekly to daily use=2.47(1.03-5.92)); daily use was not (AOR=0.52(0.17-1.55)). Baseline MDD was associated with initiation of cannabis use (AOR=1.72(1.1-2.69)). A crude association between baseline BPD and incidence of cannabis use was not maintained in adjusted models (AOR=0.61(0.36-1.04)).

LIMITATIONS

Lack of information regarding frequency of cannabis use at follow-up and limitations regarding generalization of the results.

CONCLUSIONS

Our findings do not support a longitudinal association between cannabis use and incidence of MDD. Results regarding the association between cannabis use and incidence of BPD are conflicting and require further investigation. Baseline MDD, but not BPD, may be associated with future initiation of cannabis use. This may have implications for clinical, social and legislative aspects of cannabis use.

Cannabis use and mania symptoms: a systematic review and meta-analysis

BACKGROUND

Whilst cannabis use appears to be a causal risk factor for the development of schizophrenia-related psychosis, associations with mania remain relatively unknown. This review aimed to examine the impact of cannabis use on the incidence of manic symptoms and on their occurrence in those with pre-existing bipolar disorder.

METHODS

A systematic review of the scientific literature using the PRISMA guidelines. PsychINFO, Cochrane, Scopus, Embase and MEDLINE databases were searched for prospective studies.

RESULTS

Six articles met inclusion criteria. These sampled 2391 individuals who had experienced mania symptoms. The mean length of follow up was 3.9 years. Studies support an association between cannabis use and the exacerbation of manic symptoms in those with previously diagnosed bipolar disorder. Furthermore, a meta-analysis of two studies suggests that cannabis use is associated with an approximately 3-fold (Odds Ratio: 2.97; 95% CI: 1.80-4.90) increased risk for the new onset of manic symptoms.

LIMITATIONS

We were only able to identify a small number of studies of variable quality, thus our conclusions remain preliminary.

CONCLUSIONS

Our findings whilst tentative, suggest that cannabis use may worsen the occurrence of manic symptoms in those diagnosed with bipolar disorder, and may also act as a causal risk factor in the incidence of manic symptoms. This underscores the importance of discouraging cannabis use among youth and those with bipolar disorder to help prevent chronic psychiatric morbidity. More high quality prospective studies are required to fully elucidate how cannabis use may contribute to the development of mania over time.

Early risk factors for adult bipolar disorder in adolescents with mood disorders: a 15-year follow-up of a community sample

BACKGROUND

We aimed to outline the early risk factors for adult bipolar disorder (BPD) in adolescents with mood disorders.

METHODS

Adolescents (16-17 years old) with mood disorders (n = 287; 90 participants with hypomania spectrum episodes and 197 with major depressive disorder [MDD]) were identified from a community sample. Fifteen years later (at 30-33 years of age), mood episodes were assessed (n = 194). The risk of developing BPD (n = 22), compared with MDD (n = 104) or no mood episodes in adulthood (n = 68), was estimated via logistic regression. Adolescent mood symptoms, non-mood disorders, and family characteristics were assessed as potential risk factors.

RESULTS

Among the adolescents with mood disorders, a family history of BPD was the strongest predictor of developing BPD compared with having no mood episodes in adulthood (OR = 5.94; 95% CI = 1.11-31.73), whereas disruptive disorders significantly increased the risk of developing BPD compared with developing MDD (OR = 2.94; CI = 1.06-8.12). The risk that adolescents with MDD would develop adult BPD, versus having no mood episodes in adulthood, was elevated among those with an early disruptive disorder (OR = 3.62; CI = 1.09-12.07) or multiple somatic symptoms (OR = 6.60; CI = 1.70-25.67). Only disruptive disorders significantly predicted adult BPD among adolescents with MDD versus continued MDD in adulthood (OR = 3.59; CI = 1.17-10.97). Only a few adolescents with hypomania spectrum episodes continued to have BPD as adults, and anxiety disorders appeared to increase this risk.

CONCLUSIONS

Although most of the identified potential risk factors are likely general predictors of continued mood disorders, disruptive disorders emerged as specific predictors of developing adult BPD among adolescents with MDD.

The Bipolar Prodrome Symptom Interview and Scale-Prospective (BPSS-P): description and validation in a psychiatric sample and healthy controls

OBJECTIVE

The aim of the present study was to investigate the psychometric properties of the Bipolar Prodrome Symptom Interview and Scale-Prospective (BPSS-P), the first specific interview for emerging bipolar disorder (BD) symptoms.

METHODS

A total of 205 youth aged 12-23 years and/or their caregivers underwent BPSS-P interviews: 129 patients with mood spectrum disorders [depression spectrum disorder (n = 77), mood disorder not otherwise specified (NOS) (n = 27), BD-NOS (n = 14), bipolar I disorder (BD-I)/bipolar II disorder (BD-II)/cyclothymia (n = 11), 34 with non-mood spectrum disorders, and 42 healthy controls (HCs)]. We used Cronbach's α to assess internal consistency; intra-class correlation (ICC) for inter-rater reliability; Spearman's rho for convergent validity with the Young Mania Rating Scale (YMRS), General Behavior Inventory-10-item Mania Form (GBI-M-10), and Cyclothymic-Hypersensitive Temperament (CHT) scale; and analysis of variance for discriminatory power between diagnostic groups.

RESULTS

Internal consistency was good to very good for the BPSS-P Mania (Cronbach's α = 0.87), Depression (Cronbach's α = 0.89), and General Symptom indices (Cronbach's α = 0.74). Inter-rater reliability was high for the BPSS-P Total score (ICC = 0.939), and BPSS-P Mania (ICC = 0.934), Depression (ICC = 0.985), and General (ICC = 0.981) indices. Convergent validity was large (ρ ≥ 0.50) between the BPSS-P Mania Index and YMRS, GBI-M-10, and CHT; BPSS-P Depression Index and Montgomery-Åsberg Depression Rating Scale (MADRS) and CHT; and BPSS-P General Index and GBI-M-10 and CHT. Expectedly, convergent validity was small (ρ = 0.10 to < 0.30) between the BPSS-P Mania Index and MADRS, and BPSS-P Depression Index and YMRS. Furthermore, the BPSS-P and its subscales discriminated each patient group from HCs and from non-mood spectrum patients (except for the BPSS-P General Index). Moreover, the BPSS-P Total score discriminated BD-I/BD-II/cyclothymia from depression spectrum patients, and the BPSS-Mania Index differentiated all three bipolar spectrum groups from depression spectrum patients.

CONCLUSIONS

The BPSS-P has good to excellent psychometric properties. Its use across multiple settings and predictive validity requires further investigation.

Cannabis use and first manic episode

BACKGROUND

Cannabis is the most commonly abused drug among patients with bipolar disorder. Available data has shown that the risk of psychotic disorders increases with the frequency and intensity of cannabis abuse. The present purpose was to review relevant studies to investigate whether cannabis use can be linked to the onset of mania in bipolar disorder.

METHODS

Articles published between 1972 and December 2013 were searched on Medline and PsychInfo using the following keywords: first manic episode, or onset mania, or bipolar disorder and cannabis. Relevant papers cited in the references of selected articles were further considered for inclusion into the review.

RESULTS

Lifetime use of cannabis among bipolar patients appears to be around 70% and approximately 30% of patients with a bipolar disorder present a comorbidity of cannabis abuse or dependence. Cannabis use is associated with younger age at onset of first mania and with more frequent depressive or manic episodes, although the evidence is somewhat inconsistent. Likewise cannabis consumption is related to poorer outcome and an increased risk of rapid cycling or mixed episodes. In contrast, neuro-cognitive functioning seems to be positively affected in patients with psychiatric comorbidity. While cannabis use often precedes first manic episodes, the causal direction remains to be determined.

LIMITATIONS

Variations in definition of cannabis use/dependence. Lack of controlled studies limiting definite conclusions about a putative causal relationship between cannabis and onset of mania.

CONCLUSIONS

Further investigations are needed to clarify the relationships between cannabis use and first manic episode.

Risk factors for conversion from unipolar psychotic depression to bipolar disorder

OBJECTIVES

Patients with unipolar psychotic depression (PD) are at high risk of developing bipolar disorder (BD). This conversion has important implications for the choice of treatment. This study, therefore, aimed to identify risk factors associated with diagnostic conversion from PD to BD.

METHODS

We conducted a population-based, historical prospective cohort study by merging data from Danish registers. Patients assigned an ICD-10 diagnosis of PD between 1 January 1995 and 31 December 2007 were identified in the Danish Central Psychiatric Research Register and were followed until the development of BD, death, loss to follow-up, or 31 December 2007. Potential risk factors for conversion to BD, also defined through various Danish registers, were tested in multiple logistic regression analyses with risk expressed as adjusted odds ratios (AOR).

RESULTS

We identified 8,588 patients with PD, of whom 609 (7.1%) developed BD during follow-up. The following characteristics were significantly associated with diagnostic conversion from PD to BD: early onset of PD [AOR = 0.99 (per year of increasing age), p = 0.044], recurrent depression [AOR = 1.02 (per episode), p = 0.036], living alone (AOR = 1.29, p = 0.007), receiving a disability pension (AOR = 1.55, p < 0.001), and the highest educational level being a technical education (AOR = 1.55, p < 0.001), short-cycle higher education (AOR = 2.65, p < 0.001), or medium-cycle higher education (AOR = 1.75, p < 0.001).

CONCLUSIONS

Diagnostic conversion to BD was prevalent among patients with PD. The following characteristics were significantly associated with this conversion: early onset of PD, recurrent depression, living alone, receiving a disability pension, and the highest educational level being a technical education, short-cycle higher education, or medium-cycle higher education.

Differential neurodevelopmental trajectories in patients with early-onset bipolar and schizophrenia disorders

Schizophrenia and bipolar disorders share not only clinical features but also some risk factors such as genetic markers and childhood adversity, while other risk factors such as urbanicity and obstetric complications seem to be specific to schizophrenia. An intriguing question is whether the well-established abnormal neurodevelopment present in many children and adolescents who eventually develop schizophrenia is also present in bipolar patients. The literature on adult bipolar patients is controversial. We report data on a subgroup of patients with pediatric-onset psychotic bipolar disorder who seem to share some developmental trajectories with patients with early-onset schizophrenia. These early-onset psychotic bipolar patients have low intelligence quotient, more neurological signs, reduced frontal gray matter at the time of their first psychotic episode, and greater brain changes than healthy controls in a pattern similar to early-onset schizophrenia cases. However, patients with early-onset schizophrenia seem to have more social impairment, developmental abnormalities (eg, language problems), and lower academic achievement in childhood than early-onset bipolar patients. We suggest that some of these abnormal developmental trajectories are more related to the phenotypic features (eg, early-onset psychotic symptoms) of these 2 syndromes than to categorically defined Diagnostic and Statistical Manual of Mental Disorders disorders.

Risk factors for an anxiety disorder comorbidity among Thai patients with bipolar disorder: results from the Thai Bipolar Disorder Registry

BACKGROUND

The aim of the study was to determine in a clinical setting the risk factors for current anxiety disorder (AD) comorbidity among Thai patients with bipolar disorder (BD), being treated under the Thai Bipolar Disorder Registry Project (TBDR).

METHODS

The TBDR was a multisite naturalistic study conducted at 24 psychiatric units (ie, at university, provincial mental, and government general hospitals) between February 2009 and January 2011. Participants were in- or out-patients over 18 years of age who were diagnosed with BD according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. Instruments used in this study included the Thai Mini International Neuropsychiatric Interview version 5; Thai Montgomery-Åsberg Depression Rating Scale (MADRS); Thai Young Mania Rating Scale; Clinical Global Impression of Bipolar Disorder-Severity (CGI-BP-S), CGI-BP-S-mania, CGI-BPS-depression, and CGI-BP-S-overall BP illness; and the Thai SF-36 quality of life questionnaire.

RESULTS

Among the 424 BD patients, 404 (95.3%) had BD type I. The respective mean ± standard deviation of age of onset of mood disturbance, first diagnosis of BD, and first treatment of BD was 32.0±11.9, 36.1±12.2, and 36.2±12.2 years. The duration of illness was 10.7±9.0 years. Fifty-three (12.5%) of the 424 participants had a current AD while 38 (9%) had a substance use disorder (SUD). The univariate analysis revealed 13 significant risks for current AD comorbidity, which the multivariate analysis narrowed to age at first diagnosis of BD (odds ratio =0.95, P<0.01), family history of SUD (odds ratio =2.18, P=0.02), and having a higher current MADRS score (odds ratio =1.11, P<0.01).

CONCLUSION

A diagnosis of AD comorbid with BD is suggested by early-age onset of BD together with a higher MADRS score and a family history of SUD. The likelihood of AD comorbidity decreases by 5% with each passing year; early-age onset of BD is a risk while later age onset is protective. Our results underscore how SUD within the family significantly contributes to the risk of an AD comorbidity.

The bipolar disorder prodrome revisited: Is there a symptomatic pattern?

OBJECTIVES

To assess the phenomenology and course of pre-(hypo)manic and pre-depressed prodromal symptoms, including mood swings, as precursors of bipolar disorder (BD) in a German multi-center study.

METHODS

Semi-structured interviews [Bipolar Prodrome Symptom Scale-Retrospective (BPSS-R); Semi-structured Interview for Mood Swings] were administered to patients within 8 years of BD (BD I, BD II) onset.

RESULTS

Forty two outpatients were included (40.5% male, mean age 35.1±10.0 years, illness onset at 30.5±9.5 years). Feeling extremely energetic (85.7%), racing thoughts (78.6%), physical agitation (76.2%), overtalkativeness (71.4%), and low sleep requirement (71.4%) occurred most frequently prior to the first (hypo)manic episode, whereas depressed mood (83.0%), reduced vitality (81.0%), physical exhaustion (78.6%), tiredness (76.2%), and insomnia (66.7%) preceded pre-depressively. Mood lability (p=.006), odd ideas (p=.003) and the psychosis index score (p=.003) differed significantly in prevalence depending on the episodes' mood. Extremely energetic (p=.046), overtalkativeness (p<.001), and racing thoughts (p=.013) lasted significantly longer prior to depression. Neither severity nor frequency of prodromal symptoms differed significantly. Most of the symptoms emerged during the proximal prodromal phase. Links between mood swings and subsequent BD were found.

LIMITATIONS

Symptoms were evaluated retrospectively with self-reporting tools in bipolar patients from academic treatment settings without comparison to clinical controls.

CONCLUSIONS

Not only specific depressive or manic but also general symptoms occurred prior to both affective episodes. The pre-depressive prodrome lasted longer than the pre-manic one, but severity and frequency did not differ significantly. Mood swings and disturbed diurnal rhythm occurred prior to both episodes as early signs of BD.

The neural correlates of mindful awareness: a possible buffering effect on anxiety-related reduction in subgenual anterior cingulate cortex activity

Background

Human personality consists of two fundamental elements character and temperament. Character allays automatic and preconceptual emotional responses determined by temperament. However, the neurobiological basis of character and its interplay with temperament remain elusive. Here, we examined character-temperament interplay and explored the neural basis of character, with a particular focus on the subgenual anterior cingulate cortex extending to a ventromedial portion of the prefrontal cortex (sgACC/vmPFC).

Methods

Resting brain glucose metabolism (GM) was measured using [¹⁸F] fluorodeoxyglucose positron emission tomography in 140 healthy adults. Personality traits were assessed using the Temperament and Character Inventory. Regions of interest (ROI) analysis and whole-brain analysis were performed to examine a combination effect of temperament and character on the sgACC/vmPFC and to explore the neural correlates of character, respectively.

Results

Harm avoidance (HA), a temperament trait (i.e., depressive, anxious, vulnerable), showed a significant negative impact on the sgACC/vmPFC GM, whereas self-transcendence (ST), a character trait (i.e., intuitive, judicious, spiritual), exhibited a significant positive effect on GM in the same region (HA β = −0.248, p = 0.003; ST: β = 0.250, p = 0.003). In addition, when coupled with strong ST, individuals with strong HA maintained the sgACC/vmPFC GM level comparable to the level of those with low scores on both HA and ST. Furthermore, exploratory whole-brain analysis revealed a significant positive relationship between ST and sgACC/vmPFC GM (peak voxel at x = −8, y = 32, z = −8, k = 423, Z = 4.41, corrected p^FDR = 0.030).

Conclusion

The current findings indicate that the sgACC/vmPFC might play a critical role in mindful awareness to something beyond as well as in emotional regulation. Developing a sense of mindfulness may temper exaggerated emotional responses in individuals with a risk for or having anxiety and depressive disorders.

The significance of at-risk or prodromal symptoms for bipolar I disorder in children and adolescents

While in the early identification and intervention of psychosis-specific instruments and risk criteria have been generated and validated, research into indicated preventive strategies for bipolar I disorder (BD I) has only recently gained momentum. As the first signs of BD I often start before adulthood, such efforts are especially important in the vulnerable pediatric population. Data are summarized regarding the presence and nature of potentially prodromal, that is, subsyndromal, symptoms prior to BD I, defined by first-episode mania, focusing on pediatric patients. Research indicates the possibility of early identification of youth at clinical high risk for BD. Support for this proposition comes from retrospective studies of BD I patients, as well as prospective studies of community samples, offspring of BD I subjects, youth with depressive disorders, and patients at high risk for psychosis or with bipolar spectrum disorders without lifetime history of mania. These data provide essential insight into potential signs and symptoms that may enable presyndromal identification of BD I in youth. However, except for offspring studies, broader prospective approaches that focus on youth at clinical high risk for BD I and on developing specific interviews and (or) rating scales and risk criteria are mostly missing, or in their early stage. More work is needed to determine valid and sufficiently specific clinical high-risk criteria, to distinguish risk factors, endophenotypes, and comorbidities from prodromal symptomatology, and to develop phase-specific interventions that titrate the risk of intervention to the risk of transition to mania and to functional impairment or distress. Moreover, studies are needed that determine potential differences in prodromal symptoms and trajectories between children, adolescents, and adults, and the best phase-specific interventions.

Adversity and psychosis: a 10-year prospective study investigating synergism between early and recent adversity in psychosis

OBJECTIVE

Recent studies have suggested that early adverse events, such as childhood trauma, may promote enduring liability for psychosis whereas more recent adverse events may act as precipitants. Examination of these environmental dynamics, however, requires prospective studies in large samples. This study examines whether the association between recent adverse events and psychosis is moderated by exposure to early adversity.

METHOD

A random regional representative population sample of 3021 adolescents and young adults in Munich, Germany, was assessed three times over a period of up to 10 years, collecting information on sociodemographic factors, environmental exposures, and measures of psychopathology and associated clinical relevance. Evidence of statistical non-additivity between early adversity (two levels) and more recent adversity (four levels) was assessed in models of psychotic symptoms. Analyses were a priori corrected for age, gender, cannabis use, and urbanicity.

RESULTS

Early and recent adversity were associated with each other (RR = 1.32, 95% CI 1.06-1.66; P = 0.014) and displayed statistical non-additivity at the highest level of exposure to recent adversity (χ(2) = 4.59; P = 0.032).

CONCLUSION

The findings suggest that early adversity may impact on later expression of psychosis either by increasing exposure to later adversity and/or by rendering individuals more sensitive to later adversity if it is severe.

Evidence of increasing age of onset of cannabis use among younger Australians

AIM

To determine whether declines in the prevalence of cannabis use in Australia have been accompanied by changes in age of onset of cannabis use.

DESIGN

A retrospective cohort study. To account for right censoring error we contrasted the mean age of onset for comparable age groups across the four surveys conducted from 1998 to 2007. Kaplan-Meier failure graphs were used to describe how the cumulative risk of first use of cannabis varied across birth cohorts born from 1947 to 1993.

SETTING

Australian data collected in the nationally representative, triennial, National Drug Strategy Household Surveys (NDSHS) PARTICIPANTS: A total of 88,268 Australian household residents aged 14 years and older.

MEASUREMENTS

Life-time use of cannabis and age of first use.

FINDINGS

For respondents under the age of 20 years, mean age of first use of cannabis has increased from 14.6 years in 1998 to 15.2 years in 2007.

CONCLUSIONS

The decline in cannabis use prevalence that has occurred since 1998 in Australia has been accompanied by an increase in age of first use among those aged under 20 years.

The 'true' prevalence of bipolar II disorder

PURPOSE OF REVIEW

Many studies - including meta-analyses - do not distinguish between bipolar I and II disorder. The aim of this study is to review the recent literature on the prevalence, correlates, consequences, and treatment patterns of bipolar II disorder.

RECENT FINDINGS

In the past 2 years, several important studies have been conducted in the bipolar II field. The World Mental Health Survey initiative provides us with prevalence rate across 11 countries, while several meta-analyses on suicide and neurocognition directly compared bipolar I with bipolar II, informing us on the severe consequences of bipolar II disorder. Results from studies showed that the lifetime prevalence rate of bipolar II disorder in adults across 11 countries was 0.4%. Rates of bipolar II disorder in prospective studies of adolescents are substantially greater, with lifetime rates approaching 3-4%.

SUMMARY

Evidence from these studies regarding comparable clinical consequences, patterns of comorbidity, suicide attempts, family history, and treatment patterns to bipolar I disorder document the validity of the bipolar II subtype.

The neural basis of familial risk and temperamental variation in individuals at high risk of bipolar disorder

BACKGROUND

Bipolar disorder is a highly heritable psychiatric disorder characterized by episodic elevation or depression of mood. Bipolar disorder is associated with structural and functional brain abnormalities but it is unclear whether these are present in relatives of affected individuals and if they are associated with subclinical symptoms or traits associated with the disorder.

METHODS

Functional magnetic resonance imaging scans were conducted on 93 unrelated relatives of bipolar disorder patients and 70 healthy comparison subjects performing the Hayling sentence completion paradigm. Examination of comparison subjects versus high-risk individuals was followed by assessments of associations with depression scores and measures of cyclothymic temperament.

RESULTS

Examination of comparison subjects versus high-risk subjects revealed increased activation in the high-risk group in the left amygdala. No interaction effects were observed between the groups for scores of depression or cyclothymia and activation in any region. Significant associations were found across the groups with depression ratings and activation in the ventral striatum and with cyclothymia and activation in ventral prefrontal regions, however no interaction effects were observed between the groups.

CONCLUSIONS

Differences in activation in the left amygdala in those at familial risk may represent a heritable endophenotype of bipolar disorder. Activation in striatal and ventral prefrontal regions may, in contrast, represent a distinct biological basis of subclinical features of the illness regardless of the presence of familial risk.

Affective disorders and anxiety disorders predict the risk of drug harmful use and dependence

AIM

To investigate whether affective disorders, anxiety disorders and alcohol use disorders may increase the risk of subsequently developing drug (non-alcohol-related) dependence and/or drug (non-alcohol-related) harmful use.

SETTING AND DESIGN

A retrospective cohort study based on nationally representative household survey data collected from the 2007 National Survey of Mental Health and Wellbeing (MHW).

MEASUREMENT

The MHW survey applied the World Mental Health Survey Initiative version of the Composite International Diagnostic Interview (WMH-CIDI 3.0) to collect information on ICD-10 mental disorder diagnoses. Ages at first onset for mental disorders and harmful drug use were used to reconstruct the cohort according to definition of exposure, time at risk and outcome.

PARTICIPANTS

A total of 8841 Australian adults aged 18-85 years who were included in the 2007 MHW survey.

FINDINGS

Participants with affective disorders and anxiety disorders were at higher risk of drug harmful use and drug dependence, and the effects did not vary by the length of time respondents had been exposed to mental disorders.

CONCLUSION

It is uncertain whether experience of affective disorders and anxiety disorders, possibly prior to the disorder being identified by the individual or a health worker, may lead to self-medication with psychoactive substances or whether common genetic factors linking mental disorder and drug use disorders are the underlying cause. Symptoms of mental health disorders should alert health-care providers to the possibility of drug use disorder comorbidity and the need for early intervention, especially among young males.