Hypomania spectrum disorders from adolescence to adulthood: a 15-year follow-up of a community sample

Perinatal risk factors and subclinical hypomania: A prospective community study

BACKGROUND

Perinatal risk factors are implicated in the development of psychopathology, but their role in bipolar disorder (BD) and hypomania is unclear. Using data from a prospective community cohort, this is the first study to investigate the association between a range of perinatal risk factors, hypomanic symptoms, and 'high-risk' for BD in the general population.

METHODS

Parent report of perinatal events were available for 26,040 eighteen-month-olds from the Twins Early Development Study. Subsequent self-report hypomania was measured at ages 16 (Hypomania Checklist-16; N = 2943) and 26 (Mood Disorders Questionnaire; N = 7748). Participants were categorised as 'high-risk' for BD using established classifications. Linear and logistic regressions were conducted within a generalised estimating equations framework to account for relatedness in the sample.

RESULTS

Prenatal alcohol exposure (β = 0.08, SE = 0.04, p = .0002) and number of alcohol units consumed (β = 0.09, SE = 0.02, p < .0001) were associated with hypomanic symptoms at age 16, and number of alcohol units (OR = 1.13, 95 % CI:1.06-1.21, p = .0003) and maternal stress (OR = 1.68, 95 % CI:1.21-2.34, p = .002) were associated with 'high-risk' for BD age 16. Prenatal tobacco exposure (β = 0.10, SE = 0.04, p < .0001) and number of cigarettes smoked (β = 0.10, SE = 0.01, p < .0001) were associated with hypomanic symptoms and 'high-risk' for BD at age 26, although these result were attenuated controlling for parental psychiatric history.

LIMITATIONS

Familial confounding could not be fully adjusted for. Rater reports include some biases.

CONCLUSIONS

These findings show perinatal risk factors to be associated with subclinical hypomania and 'high-risk' for BD. Future work should explore the mechanisms underlying these longitudinal associations, which could shed light on prevention and intervention efforts.

Association of Etiological Factors for Hypomanic Symptoms, Bipolar Disorder, and Other Severe Mental Illnesses

IMPORTANCE

Subsyndromal hypomanic symptoms are relatively common in the general population and are linked to the onset of bipolar disorder. Little is known about their etiology and whether this is shared with the etiology of bipolar disorder or other mental illnesses.

OBJECTIVE

To examine the genetic and environmental architecture of hypomanic symptoms in a nonclinical youth sample and compare estimates at varying severity levels and their association with diagnosed bipolar disorder.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used phenotypic and genetic data from the Child and Adolescent Twin Study in Sweden and included individuals with International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis of psychiatric disorders from national registries for residents of Sweden. Associations between hypomania and polygenic risk scores for bipolar disorder, major depressive disorder and schizophrenia were also investigated. Analysis began November 2018 and ended October 2021.

MAIN OUTCOMES AND MEASURES

Hypomanic symptoms were assessed using the parent-rated Mood Disorders Questionnaire when the twins were aged 18 years. Bipolar disorder diagnosis and/or lithium prescription were ascertained from national registries for residents of Sweden. Polygenic risk scores for psychiatric disorders were calculated using independent discovery genetic data.

RESULTS

A total of 8568 twin pairs aged 18 years (9381 [54.7%] female) were included in the study. The hypomania heritability estimate was 59% (95% CI, 52%-64%) for male individuals and 29% (95% CI, 16%-44%) for female individuals. Unique environmental factors accounted for 41% (95% CI, 36%-47%) of the hypomania variance in male individuals and 45% (95% CI, 40%-50%) in female individuals. Shared environmental factors were only detected for female individuals and explained 26% (95% CI, 13%-38%) of the variance. The heritability estimates were fairly consistent across different hypomania severity groups. Moderate genetic (0.40; 95% CI, 0.21-0.58) and shared environmental (0.41; 95% CI, 0.03-0.75) correlations between hypomania and diagnosed bipolar disorder were found. Hypomania was significantly associated with the polygenic risk scores for schizophrenia (β = 0.08; SE = 0.026; P = .002) and major depressive disorder (β = 0.09; SE = 0.027; P = .001) but not bipolar disorder (β = 0.017; SE = 0.03; P = 0.57) (bipolar disorder I [β = 0.014; SE = 0.029; P = .64] or bipolar disorder II [β = 0.045; SE = 0.027; P = .10]).

CONCLUSIONS AND RELEVANCE

Higher heritability for hypomania was found for male compared with female individuals. The results highlight the shared etiologies between hypomanic symptoms, bipolar disorder, major depression, and schizophrenia in youths. Future research should focus on identifying specific shared genetic and environmental factors. These findings support a possible dimensional model of bipolar disorder, with hypomania representing a continuous trait underlying the disorder.

Prospectively ascertained mania and hypomania among young adults with child- and adolescent-onset bipolar disorder

OBJECTIVES

While adults with bipolar disorder (BD) often report symptoms starting in childhood, continuity of mania and/or hypomania (mania/hypomania) from childhood to adulthood has been questioned. Using longitudinal data from the Course and Outcome of Bipolar Youth (COBY) study, we assessed threshold mania/hypomania in young adults who manifested BD as youth.

METHODS

COBY is a naturalistic, longitudinal study of 446 youth with BD (84% recruited from outpatient clinics), 7-17 years old at intake, and over 11 years of follow-up. Focusing on youth with BD-I/II (n = 297), we examined adult mania/hypomania risk (>18 years old; mean 7.9 years of follow-up) according to child (<13 years old) versus adolescent (13-17 years old) onset. We next used penalized regression to test demographic and clinical predictors of young adult mania/hypomania.

RESULTS

Most participants (64%) had child-onset mania/hypomania, 57% of whom also experienced mania/hypomania in adolescence. Among those who experienced an episode in adolescence, over 40% also had mania/hypomania during adulthood; the risk did not differ according to child versus adolescent onset. In contrast, 7% with mania/hypomania in childhood, but not adolescence, experienced mania/hypomania in adulthood. Family history (of mania and suicide attempts) predicted mania/hypomania in young adulthood (p-values <0.05); age of onset was not a significant predictor. Among participants with no mania/hypomania during adulthood, 53% (105/198) still experienced subthreshold manic episodes.

DISCUSSION

We find substantial continuity across developmental stage indicating that, in this carefully characterized sample, children who experience mania/hypomania-particularly those who also experience mania/hypomania in adolescence-are likely to experience mania/hypomania in young adulthood.

'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.

Uppsala Longitudinal Adolescent Depression Study (ULADS)

PURPOSE

To present the Uppsala Longitudinal Adolescent Depression Study, initiated in Uppsala, Sweden, in the early 1990s. The initial aim of this epidemiological investigation was to study the prevalence, characteristics and correlates of adolescent depression, and has subsequently expanded to include a broad range of social, economic and health-related long-term outcomes and cost-of-illness analyses.

PARTICIPANTS

The source population was first-year students (aged 16-17) in upper-secondary schools in Uppsala during 1991-1992, of which 2300 (93%) were screened for depression. Adolescents with positive screening and sex/age-matched peers were invited to a comprehensive assessment. A total of 631 adolescents (78% females) completed this assessment, and 409 subsequently completed a 15-year follow-up assessment. At both occasions, extensive information was collected on mental disorders, personality and psychosocial situation. Detailed social, economic and health-related data from 1993 onwards have recently been obtained from the Swedish national registries for 576 of the original participants and an age-matched reference population (N≥200 000).

FINDINGS TO DATE

The adolescent lifetime prevalence of a major depressive episode was estimated to be 11.4%. Recurrence in young adulthood was reported by the majority, with a particularly poor prognosis for those with a persistent depressive disorder or multiple somatic symptoms. Adolescent depression was also associated with an increased risk of other adversities in adulthood, including additional mental health conditions, low educational attainment and problems related to intimate relationships.

FUTURE PLANS

Longitudinal studies of adolescent depression are rare and must be responsibly managed and utilised. We therefore intend to follow the cohort continuously by means of registries. Currently, the participants are approaching mid-adulthood. At this stage, we are focusing on the overall long-term burden of adolescent depression. For this purpose, the research group has incorporated expertise in health economics. We would also welcome extended collaboration with researchers managing similar datasets.

The morbidity of subthreshold pediatric bipolar disorder: A systematic literature review and meta-analysis

OBJECTIVE

The objective of this study was to evaluate the morbidity of subthreshold pediatric bipolar (BP) disorder.

METHODS

We performed a systematic literature search in November 2017 and included studies examining the morbidity of pediatric subthreshold BP. Extracted outcomes included functional impairment, severity of mood symptoms, psychiatric comorbidities, suicidal ideation and behaviors, and mental health treatment. We used meta-analysis to compute the pooled standardized mean difference (SMD) for continuous measures and the pooled risk ratio (RR) for binary measures between two paired groups: subthreshold pediatric BP vs controls and subthreshold pediatric BP vs pediatric BP-I.

RESULTS

Eleven papers, consisting of seven datasets, were included. We compared subthreshold pediatric BP (N = 244) to non-BP controls (N = 1125) and subthreshold pediatric BP (N = 643) to pediatric BP-I (N = 942). Subthreshold pediatric BP was associated with greater functional impairment (SMD = 0.61, CI 0.25-0.97), greater severity of mood symptomatology (mania: SMD = 1.88, CI 1.38-2.38; depression: SMD = 0.66, CI 0.52-0.80), higher rates of disruptive behavior (RR = 1.75, CI 1.17-2.62), mood (RR = 1.78, CI 1.29-2.79) and substance use (RR = 2.27, CI 1.23-4.21) disorders, and higher rates of suicidal ideation and attempts (RR = 7.66, CI 1.71-34.33) compared to controls. Pediatric BP-I was associated with greater functional impairment, greater severity of manic symptoms, higher rates of suicidal ideation and attempts, and higher rates of mental health treatment compared to subthreshold pediatric BP. There were no differences between full and subthreshold cases in the severity of depressive symptoms or rates of comorbid disorders.

CONCLUSIONS

Subthreshold pediatric BP disorder is an identifiable morbid condition associated with significant functional impairment including psychiatric comorbidities and high rates of suicidality.

Conversion from depression to bipolar disorder in a cohort of young people in England, 1999-2011: A national record linkage study

OBJECTIVE

To estimate the conversion rate from unipolar depression (ICD10 codes F32-F33) to bipolar disorder (BP) (ICD10 codes F31) in an English national cohort. It was hypothesised that early-onset BP (age <18 years) is a more severe form of the disorder, with a more rapid, and higher rate of conversion from depression to BP.

METHOD

This record linkage study used English national Hospital Episode Statistics (HES) covering all NHS inpatient and day case admissions between 1999 and 2011.

RESULTS

The overall rate of conversion from depression to BP for all ages was 5.65% (95% CI: 5.48-5.83) over a minimum 4-year follow-up period. The conversion rate from depression to BP increased in a linear manner with age from 10-14 years - 2.21% (95% C: 1.16-4.22) to 30-34 years - 7.06% (95% CI: 6.44-7.55) (F1,23=77.6, p=0.001, R(2)=0.77). The time to conversion was constant across the age range. The rate of conversion was higher in females (6.77%; 95% CI: 6.53-7.02) compared to males, (4.17%; 95% CI: 3.95-4.40) (χ(2)=194, p<0.0001), and in those with psychotic depression 8.12% (95% CI: 7.65-8.62) compared to non-psychotic depression 5.65% (95% CI: 5.48-5.83) (χ(2)=97.0, p<0.0001).

LIMITATIONS

The study was limited to hospital discharges and diagnoses were not standardised.

CONCLUSIONS

Increasing conversion rate from depression to bipolar disorder with age, and constant time for conversion across the age range does not support the notion that early-onset BP is a more severe form of the disorder.

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.

Dimensions of manic symptoms in youth: psychosocial impairment and cognitive performance in the IMAGEN sample

BACKGROUND

It has been reported that mania may be associated with superior cognitive performance. In this study, we test the hypothesis that manic symptoms in youth separate along two correlated dimensions and that a symptom constellation of high energy and cheerfulness is associated with superior cognitive performance.

METHOD

We studied 1755 participants of the IMAGEN study, of average age 14.4 years (SD = 0.43), 50.7% girls. Manic symptoms were assessed using the Development and Wellbeing Assessment by interviewing parents and young people. Cognition was assessed using the Wechsler Intelligence Scale For Children (WISC-IV) and a response inhibition task.

RESULTS

Manic symptoms in youth formed two correlated dimensions: one termed exuberance, characterized by high energy and cheerfulness and one of undercontrol with distractibility, irritability and risk-taking behavior. Only the undercontrol, but not the exuberant dimension, was independently associated with measures of psychosocial impairment. In multivariate regression models, the exuberant, but not the undercontrolled, dimension was positively and significantly associated with verbal IQ by both parent- and self-report; conversely, the undercontrolled, but not the exuberant, dimension was associated with poor performance in a response inhibition task.

CONCLUSIONS

Our findings suggest that manic symptoms in youth may form dimensions with distinct correlates. The results are in keeping with previous findings about superior performance associated with mania. Further research is required to study etiological differences between these symptom dimensions and their implications for clinical practice.

The use of 15-point hypomanic checklist in differentiating bipolar I and bipolar II disorder from major depressive disorder

OBJECTIVES

Individuals with bipolar disorder (BP) are often misdiagnosed with major depressive disorder (MDD). In this study, we developed a Chinese version of 15-point hypomania scale (HCL-15) in order to determine its sensitivity and specificity in the diagnosis of BP and BP-II in particular.

METHODS

A total of 623 individuals suffering a major depressive episode (MDE) were systematically interviewed with both Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Patient Edition, and HCL-15. A cutoff score of 8 or more in HCL-15 was suggested for BP.

RESULTS

Of the 623 depressed patients, 115 (18.5%) actually required a diagnosis of BP-I, and another 159 (25.5%) could be more appropriately diagnosed with BP-II, according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, criteria. The sensitivity of 15-HCL in detection of BP-II was 0.78 and 0.46 for BP-I; the specificity was 0.9 and 0.69, respectively. The specificity of HCL-15 for BP versus MDD was as high as 0.93. Approximately 60%-80% of all questions in the HCL-15 questionnaire revealed positive responses from patients, while items 11 and 12, measuring the consumption of alcohol, coffee and cigarettes, demonstrated a low positive response rate.

CONCLUSIONS

The HCL-15 assessment scale was fairly sensitive and highly specific for a BP-II diagnosis but not for a BP-I diagnosis. Some items in the HCL-15 symptom list need to be further modified to better fit Chinese culture and customs. The HCL-15 scale could be a useful tool in clinical practice for screening individuals with BP-II in order to avoid a misdiagnosis of MDD.

Hypomania spectrum disorder in adolescence: a 15-year follow-up of non-mood morbidity in adulthood

BACKGROUND

We investigated whether adolescents with hypomania spectrum episodes have an excess risk of mental and physical morbidity in adulthood, as compared with adolescents exclusively reporting major depressive disorder (MDD) and controls without a history of adolescent mood disorders.

METHODS

A community sample of adolescents (N = 2 300) in the town of Uppsala, Sweden, was screened for depressive symptoms. Both participants with positive screening and matched controls (in total 631) were diagnostically interviewed. Ninety participants reported hypomania spectrum episodes (40 full-syndromal, 18 with brief episode, and 32 subsyndromal), while another 197 fulfilled the criteria for MDD without a history of a hypomania spectrum episode. A follow up after 15 years included a blinded diagnostic interview, a self-assessment of personality disorders, and national register data on prescription drugs and health services use. The participation rate at the follow-up interview was 71% (64/90) for the hypomania spectrum group, and 65.9% (130/197) for the MDD group. Multiple imputation was used to handle missing data.

RESULTS

The outcomes of the hypomania spectrum group and the MDD group were similar regarding subsequent non-mood Axis I disorders in adulthood (present in 53 vs. 57%). A personality disorder was reported by 29% of the hypomania spectrum group and by 20% of the MDD group, but a statistically significant difference was reached only for obsessive-compulsive personality disorder (24 vs. 14%). In both groups, the risk of Axis I disorders and personality disorders in adulthood correlated with continuation of mood disorder. Prescription drugs and health service use in adulthood was similar in the two groups. Compared with adolescents without mood disorders, both groups had a higher subsequent risk of psychiatric morbidity, used more mental health care, and received more psychotropic drugs.

CONCLUSIONS

Although adolescents with hypomania spectrum episodes and adolescents with MDD do not differ substantially in health outcomes, both groups are at increased risk for subsequent mental health problems. Thus, it is important to identify and treat children and adolescents with mood disorders, and carefully follow the continuing course.

Bipolar disorders in DSM-5: strengths, problems and perspectives

The diagnostic classification of mood disorders by the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR) had two major shortcomings: an underdiagnosis of bipolar disorders and a large proportion of treated patients had to be allocated to the vague NOS groups ‘not otherwise specified’. Several new subthreshold groups of depression, bipolar disorders and mixed states are now operationally defined in DSM-5. In addition, hypomanic and manic episodes occurring during antidepressant treatments are, under certain conditions, accepted as criteria for bipolar disorders. The diagnosis of bipolarity now requires, as entry criterion A, not only the presence of elated or irritable mood but also the association of these symptoms with increased energy/activity. This restriction will unfortunately change the diagnoses of some patients from DSM-IV bipolar I and II disorders to subdiagnostic bipolar syndromes. Nonetheless, overall, DSM-5 is a step in the right direction, specifying more subdiagnostic categories with an improved dimensional approach to severity. DSM-5 may also have an impact on patient selection for placebo-controlled drug trials with antidepressants.

The comorbidity of ADHD and bipolar disorder: any less confusion?

The clinical confusion surrounding childhood ADHD and bipolar disorder centers on overlaps between severe ADHD with mood lability and mania/hypomania. Perplexity has been exacerbated by the removal of mood symptoms from the diagnostic criteria for ADHD and a lack of stringent criteria for a manic/hypomanic episode. This review summarizes current knowledge of the relationship between ADHD and bipolar disorder, the rates with which ADHD and bipolar disorder coexist in youth of differing ages, their presence in community, clinical, and high risk samples, and their longitudinal course. Treatment studies are reviewed, highlighting findings in comorbid cases, which support the efficacy of stimulants and other agents for ADHD without worsening mood symptoms, and efficacy of second generation antipsychotics for bipolar disorder. In conclusion, a lack of clarity regarding the diagnostic boundaries between childhood ADHD and bipolar disorder remains, however, treatments targeting symptoms of each disorder when comorbid, provide some efficacy.