A review of self-rating instruments to identify young people at risk of bipolar spectrum disorders

A systematic review and meta-analysis of sleep and circadian rhythms disturbances in individuals at high-risk of developing or with early onset of bipolar disorders

Sleep and circadian rhythms disturbances (SCRD) in young people at high risk or with early onset of bipolar disorders (BD) are poorly understood. We systematically searched for studies of self, observer or objective estimates of SCRD in asymptomatic or symptomatic offspring of parents with BD (OSBD), individuals with presentations meeting recognized BD-at-risk criteria (BAR) and youth with recent onset of full-threshold BD (FT-BD). Of 76 studies eligible for systematic review, 35 (46%) were included in random effects meta-analyses. Pooled analyses of self-ratings related to circadian rhythms demonstrated greater preference for eveningness and more dysregulation of social rhythms in BAR and FT-BD groups; analyses of actigraphy provided some support for these findings. Meta-analysis of prospective studies showed that pre-existing SCRD were associated with a 40% increased risk of onset of BD, but heterogeneity in assessments was a significant concern. Overall, we identified longer total sleep time (Hedges g: 0.34; 95% confidence intervals:.1,.57), especially in OSBD and FT-BD and meta-regression analysis indicated the effect sizes was moderated by the proportion of any sample manifesting psychopathology or receiving psychotropic medications. This evolving field of research would benefit from greater attention to circadian rhythm as well as sleep quality measures.

[Early intervention in bipolar affective disorders: Why, when and how]

OBJECTIVES

Bipolar disorder (BD) is a chronic and severe psychiatric disease. There are often significant delays prior to diagnosis, and only 30 to 40 % of patients will experience complete remission. Since BD occurs most often at a young age, the disorder can seriously obstruct future socio-professional development and integration. Vulnerability-stress model of BD is considered to be the result of an interaction between vulnerability genes and environmental risk factors, which leads to the onset of the disorder most often in late adolescence or early adulthood. The clinical "staging" model of BD situates the subject in a clinical continuum of varying degrees of severity (at-risk status, first episode, full-blown BD). Given the demonstrated effectiveness of early intervention in the early stages of psychotic disorder, we posit that early intervention for early stages of BD (i.e. at-risk status and first episode mania or hypomania) would reduce the duration of untreated illness and optimize the chances of therapeutic response and recovery.

METHODS

We conducted a narrative review of the literature to gather updated data on: (1) features of early stages: risk factors, at-risk symptoms, clinical specificities of the first manic episode; (2) early screening: targeted populations and psychometric tools; (3) early treatment: settings and therapeutic approaches for the early stages of BD.

RESULTS

(1) Features of early stages: among genetic risk factors, we highlighted the diagnosis of BD in relatives and affective temperament including as cyclothymic, depressive, anxious and dysphoric. Regarding prenatal environmental risk, we identified peripartum factors such as maternal stress, smoking and viral infections, prematurity and cesarean delivery. Later in the neurodevelopmental course, stressful events and child psychiatric disorders are recognized as increasing the risk of developing BD in adolescence. At-risk symptoms could be classified as "distal" with early but aspecific expressions including anxiety, depression, sleep disturbance, decreased cognitive performance, and more specific "proximal" symptoms which correspond to subsyndromic hypomanic symptoms that increase in intensity as the first episode of BD approaches. Specific clinical expressions have been described to assess the risk of BD in individuals with depression. Irritability, mixed and psychotic features are often observed in the first manic episode. (2) Early screening: some individuals with higher risk need special attention for screening, such as children of people with BD. Indeed, it is shown that children with at least one parent with BD have around 50 % risk of developing BD during adolescence or early adulthood. Groups of individuals presenting other risk factors, experiencing an early stage of psychosis or depressive disorders should also be considered as targeted populations for BD screening. Three questionnaires have been validated to screen for the presence of at-risk symptoms of BD: the Hypomanic Personality Scale, the Child Behavior Checklist-Paediatric Bipolar Disorder, and the General Behavior Inventory. In parallel, ultra-high risk criteria for bipolar affective disorder ("bipolar at-risk") distinguishing three categories of at-risk states for BD have been developed. (3) Early treatment: clinical overlap between first psychotic and manic episode and the various trajectories of the at-risk status have led early intervention services (EIS) for psychosis to reach out for people with an early stage of BD. EIS offers complete biopsychosocial evaluations involving a psychiatric examination, semi-structured interviews, neuropsychological assessments and complementary biological and neuroimaging investigations. Key components of EIS are a youth-friendly approach, specialized and intensive care and client-centered case management model. Pharmaceutical treatments for at-risk individuals are essentially symptomatic, while guidelines recommend the use of a non-antipsychotic mood stabilizer as first-line monotherapy for the first manic or hypomanic episode. Non-pharmacological approaches including psychoeducation, psychotherapy and rehabilitation have proven efficacy and should be considered for both at-risk and first episode of BD.

CONCLUSIONS

EIS for psychosis might consider developing and implementing screening and treatment approaches for individuals experiencing an early stage of BD. Several opportunities for progress on early intervention in the early stages of BD can be drawn. Training first-line practitioners to identify at-risk subjects would be relevant to optimize screening of this population. Biomarkers including functional and structural imaging measures of specific cortical regions and inflammation proteins including IL-6 rates constitute promising leads for predicting the risk of transition to full-blown BD. From a therapeutic perspective, the use of neuroprotective agents such as folic acid has shown particularly encouraging results in delaying the emergence of BD. Large-scale studies and long-term follow-up are still needed to achieve consensus in the use of screening and treatment tools. The development of specific recommendations for the early stages of BD is warranted.

Examining the association between childhood autistic traits and adolescent hypomania: a longitudinal twin study

BACKGROUND

There is evidence that autism spectrum disorders (ASDs) co-occur with bipolar disorder (BD) relatively frequently. Individuals with BD often report symptoms of mania and hypomania during adolescence, prior to the age of onset for BD. It is unknown whether these symptoms are associated with ASDs. We examined whether diagnoses of ASDs and autistic traits were associated with hypomania in a large, population-based Swedish twin sample.

METHODS

Parental structured interviews assessed autistic traits, and were used to assign screening diagnoses of ASDs, when twins were aged 9 or 12 (N = 13 533 pairs). Parents then completed questionnaires assessing hypomania when the twins were aged 15 and 18 (N = 3852 pairs at age 15, and 3013 pairs at age 18). After investigating the phenotypic associations between these measures, we used the classical twin design to test whether genetic and environmental influences on autistic traits influence variation in adolescent hypomania.

RESULTS

Autistic traits and ASD diagnoses in childhood were associated with elevated scores on the measures of adolescent hypomania. Twin analyses indicated that 6-9% of the variance in hypomania was explained by genetic influences that were shared with autistic traits in childhood. When repeating these analyses for specific autistic trait domains, we found a stronger association between social interaction difficulties and hypomania than for other autistic trait domains.

CONCLUSIONS

These results indicate a genetic link between autistic traits and hypomania in adolescence. This adds to the growing evidence base of genetic factors associated with ASDs showing links with psychiatric outcomes across childhood and into adulthood.

Hypomanic-like experiences and spontaneous emotional mental imagery

BACKGROUND

Bipolar spectrum disorders (BPSD) are associated with frequent and emotional mental imagery, theorized to play a role in mood instability. However, we lack methods for measuring tendency to experience emotional mental imagery in daily life. The current study developed such a measure and evaluated the hypothesis that a high tendency to experience emotional imagery in daily life would be associated with higher levels of hypomanic-like experiences.

METHODS

We conducted two rounds of studies to develop and refine a measure of spontaneous emotional imagery (E-SUIS) using factor analysis. We conducted a third study to test the relationship between E-SUIS score and hypomanic-like experiences. Participants (total N = 554, age 18-25) comprised an unselected community sample.

RESULTS

First, factor analysis indicated a unidimensional factor structure and excellent reliability (α=0.87) of our novel measure of spontaneous emotional mental imagery. Second, higher scores on a hypomanic-like experiences scale related to higher use of both spontaneous emotional imagery and spontaneous non-emotional imagery. Spontaneous emotional mental imagery significantly improved the prediction of hypomanic-like experiences over non-emotional mental imagery.

LIMITATIONS

Only two mental imagery measures were included. To determine discriminant validity of the E-SUIS requires additional imagery measures or interviews.

CONCLUSIONS

Levels of hypomanic-like experiences were related to the tendency to use emotional imagery in daily life. Additionally, spontaneous use of emotional imagery appears to be a better predictor of hypomanic-like experiences in the general population compared to spontaneous use of non-emotional imagery.

Validity of the Mood Disorder Questionnaire (MDQ) as a screening tool for bipolar spectrum disorders in anabaptist populations

The Mood Disorder Questionnaire (MDQ) is an established screening tool for bipolar spectrum disorders (BSD), but has not been validated in diverse populations and the best scoring method remains uncertain. This study assessed diagnostic validity of the MDQ among Anabaptists, an underserved population frequently involved in genetic research. 161 participants completed the MDQ and were diagnosed by a best-estimate final diagnosis (BEFD). Diagnostic agreements between alternate MDQ scoring methods and the BEFD were quantified using Cohen's Kappa (κ), sensitivity (α), and specificity (β). Scoring criteria evaluated included >7 simultaneous symptoms and at least moderate impairment, >7 simultaneous symptoms, with at least mild impairment, >7 symptoms only, with no further requirement, and three novel scoring methods that require >5 symptoms or fewer. Diagnostic agreement varied. The original method proved most specific but had the lowest κ and sensitivity. κ increased with more liberal scoring criteria, reaching a maximum under the lower-threshold symptom methods, with little loss of specificity in the 5-symptom method. Decreasing the symptom threshold below 5 conferred little or no benefit. These results support the diagnostic validity of the MDQ among this Anabaptist sample and suggest that a 5-symptom scoring method may increase diagnostic sensitivity in populations at high risk for bipolar disorder.

Emotion regulation strategies in mania risk: A systematic review

OBJECTIVES

Difficulties in emotion regulation may contribute to the development of mania. This review aimed to assess how emotion regulation strategies reported by individuals at risk of mania compare with clinical and nonclinical controls.

METHODS

Search terms relating to mania risk and emotion regulation were entered into three databases. Sixteen studies were included.

RESULTS

Mania risk was typically associated with overall endorsement of emotion regulation strategies, particularly dampening, and positive and negative rumination.

CONCLUSIONS

Findings were limited by overall lack of evidence for individual strategies, lack of consideration of key mediating factors and reliance upon self-report designs.

Is adolescent alcohol use associated with self-reported hypomanic symptoms in adulthood? - Findings from a prospective birth cohort

High rates of alcohol use disorder (AUD) are reported in people with major depression (MD) and bipolar disorder (BD). Substance abuse problems in adolescence may also indicate risk for future onset of mood disorders, especially BD. Data collected from the Avon Longitudinal Study of Parents and Children (ALSPAC), a large UK birth cohort, allowed information to be collected over several different time points and to test whether problematic alcohol use at age 16 was predictive of vulnerability to hypomanic symptoms at age 23. Controlling for a participant's gender, SES, marital status of the mother, a likely history of maternal depression, and adolescents' level of depressive symptoms at age 16, a hierarchical linear regression revealed that self-reported alcohol use in adolescence predicted the future onset of hypomanic/manic symptoms. Limitations include attrition and relying solely on self-ratings. Despite these limitations, the results suggest problematic alcohol use in adolescence predicts a vulnerability to hypomanic or manic symptoms.

Bipolar At-Risk Criteria: An Examination of Which Clinical Features Have Optimal Utility for Identifying Youth at Risk of Early Transition From Depression to Bipolar Disorders

BACKGROUND

A clinical and research challenge is to identify which depressed youth are at risk of "early transition to bipolar disorders (ET-BD)." This 2-part study (1) examines the clinical utility of previously reported BD at-risk (BAR) criteria in differentiating ET-BD cases from unipolar depression (UP) controls; and (2) estimates the Number Needed to Screen (NNS) for research and general psychiatry settings.

METHODS

Fifty cases with reliably ascertained, ET-BD I and II cases were matched for gender and birth year with 50 UP controls who did not develop BD over 2 years. We estimated the clinical utility for finding true cases and screening out non-cases for selected risk factors and their NNS. Using a convenience sample (N = 80), we estimated the NNS when adjustments were made to account for data missing from clinical case notes.

RESULTS

Sub-threshold mania, cyclothymia, family history of BD, atypical depression symptoms and probable antidepressant-emergent elation, occurred significantly more frequently in ET-BD youth. Each of these "BAR-Depression" criteria demonstrated clinical utility for screening out non-cases. Only cyclothymia demonstrated good utility for case finding in research settings; sub-threshold mania showed moderate utility. In the convenience sample, the NNS for each criterion ranged from ~4 to 7.

CONCLUSIONS

Cyclothymia showed the optimum profile for case finding, screening and NNS in research settings. However, its presence or absence was only reported in 50% of case notes. Future studies of ET-BD instruments should distinguish which criteria have clinical utility for case finding vs screening.

Validation of the Seven Up Seven Down Inventory in bipolar offspring: screening and prediction of mood disorders. Findings from the Dutch Bipolar Offspring Study

OBJECTIVE

To validate the Seven Up Seven Down (7U7D), an abbreviated version of the General Behavior Inventory (GBI), as screener for mood disorders and test its ability to predict mood disorders over time in individuals at risk for bipolar disorder (BD).

METHODS

Bipolar offspring (n=108) were followed from adolescence into adulthood and assessed at baseline, 1-, 5- and 12 years follow-up (T1-T4 respectively). Offspring were assessed using the Schedule for Affective Disorders and Schizophrenia for School-Age Children--Present and Lifetime Version, Structured Clinical Interview for DSM-IV Axis I Disorders and the GBI.

RESULTS

Performance of the GBI and 7U7D was functionally similar for the depression (7D) scale, but variable for the mania (7U) scale. As screener for mood disorders (T4), the 7D showed fair diagnostic efficiency (area under the curve (AUC) 0.68, p<0.01, OR 1.53, 95% CI 1.15-2.03). The discriminative validity for BD and unipolar disorder was only close to significant (7D AUC 0.66, p=0.078; 7U AUC 0.67, p=0.067). In terms of prediction of mood disorder onset between T1 and T4, the 7D, but not the 7U, was associated with new onset (AUC 0.67, p<0.05; HR 1.14, 95% CI 1.07-1.23). The 7U7D did not achieve significant prediction of BD.

LIMITATIONS

Relative small sample size and limited generalizability.

CONCLUSIONS

Based on the current study, the 7U7D shows limited potential as screening instrument for mood disorders in bipolar offspring. The clinical utility of the 7U7D needs further exploration for use in clinical and research settings.

Characterization and structure of hypomania in a British nonclinical adolescent sample

BACKGROUND

This study aimed to test the validity of using the Hypomania Checklist-16 [HCL-16] to measure hypomania in a British adolescent community sample. Limited research is available concerning the characterization of hypomania among community adolescent samples, particularly in the UK, despite its potential importance for early intervention policy development.

METHOD

To explore the structure and characterization of hypomania in a British adolescent nonclinical cohort, over 1400 17 year olds (Mean=17.05 years; SD=0.88) completed the HCL-16 along with measures of different psychological and psychopathological dimensions.

RESULTS

Principal components analysis revealed a 2-component solution for the HCL-16, described as active-elated and irritable/risk-taking. Hypomanic symptoms were significantly correlated with many psychopathological dimensions. There were distinct correlation patterns for the two HCL-16 subscales, with the irritability/risk-taking subscale showing significantly stronger associations with psychotic-like experiences, internalizing and externalizing problems, and reduced life satisfaction relative to the active-elated dimension. Adolescents at 'high-risk' for bipolar disorder reported more psychopathology relative to the comparison group.

LIMITATIONS

Absence of the clinical diagnosis of bipolar disorder in the sample means that the classification of the 'high-risk' group cannot be confirmed.

CONCLUSIONS

The structure of the HCL-16 in this UK adolescent sample mirrored that observed in adult and clinical cohorts. The observed links between the HCL-16 and psychopathological dimensions that have been previously associated with both hypomania and bipolar disorder lend support to the HCL-16's validity as a hypomania instrument for adolescents. Better understanding of hypomania prior to adulthood has considerable potential for informing early intervention approaches.

Factor structure of the French version of the Hypomanic Personality Scale (HPS) in non-clinical young adults

BACKGROUND

Hypomanic Personality Scale (HPS) is a self-report questionnaire designed to identify vulnerable individuals at high risk of bipolar disorders in non-clinical samples. Our aim was to identify the factorial structure of HPS in a French non-clinical sample and to compare this with different factor solutions described in the literature. We carried out a survey in a French population using a French version of HPS.

METHODS

A total of 698 participants were included in the study. They completed the HPS, the Schizotypal Personality Questionnaire-Brief (SPQ-B), the Positive And Negative Affect Schedule (PANAS), and the Beck Depression Inventory (BDI-II). We tested the 1, 3 and 4-factor solutions and used a Confirmatory Factor Analysis to compare these with the factor solutions suggested by Rawling et al. and Schalet et al.

RESULTS

Goodness-of-fit indices showed that Schalet et al.'s solution "fits" our data better than Rawling et al.'s factorial solutions. HPS scores correlated with the PANAS Positive score and the SPQ-B total score. We confirmed the 3-factor structure of the HPS in a large non-clinical population of young adults and found consistent correlations with BDI, affectivity and schizotypal traits.

Instruments that prospectively predict bipolar disorder - A systematic review

BACKGROUND

Identification of earlier stages of Bipolar Disorder (BD), even prior to the first manic episode, may help develop interventions to prevent or delay the onset of BD. However, reliable and valid instruments are necessary to ascertain such earlier stages of BD. The aim of the current review was to identify instruments that had predictive validity and utility for BD for use in early intervention (EI) settings for the prevention of BD.

METHODS

We undertook a systematic examination of studies that examined participants without BD I or II at baseline and prospectively explored the predictive abilities of instruments for BD onset over a period of 6 months or more. The instruments and the studies were rated with respect to their relative validity and utility predicting onset of BD for prevention or early intervention. Odds ratios and area under the curve (AUC) values were derived when not reported.

RESULTS

Six studies were included, identifying five instruments that examined sub-threshold symptoms, family history, temperament and behavioral regulation. Though none of the identified instruments had been examined in high-quality replicated studies for predicting BD, two instruments, namely the Child Behavioral Checklist - Pediatric BD phenotype (CBCL-PBD) and the General Behavioral Inventory - Revised (GBI-R), had greater levels of validity and utility.

LIMITATION

Non-inclusion of studies and instruments that incidentally identified BD on follow-up limited the breadth of the review.

CONCLUSION

Instruments that test domains such as subthreshold symptoms, behavioral regulation, family history, and temperament hold promise in predicting BD onset.

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 status of screening measures for bipolar disorder

PURPOSE OF REVIEW

Screening measures for bipolar disorder are positioned as playing an important role in improving diagnostic accuracy. This review considers the principal screening measures developed over the past decade.

RECENT FINDINGS

Although the development and evaluation of bipolar screening measures were distinct between 2000 and 2010, there has been a decrease in research and evaluation in recent years. This article considers the main impetus for the development of screening measures for bipolar disorder and provides a description and critique of the principal measures used in both clinical and community settings.

SUMMARY

Screening measures have an important role in identifying bipolar disorder but are best positioned as a first-stage strategy rather than as definitive diagnostic measures. Although several have been developed and well validated in clinical settings, there is a distinct need for extension studies exploring their classificatory properties in community settings as well as clinical impact studies to determine their 'real world' utility.