Risk and protective factors associated with substance use disorders in adolescents with first-episode mania

Association Between Symptom Severity and Medication Adherence in Adolescents with Bipolar Disorder Demonstrating Suboptimal Adherence

Objective

While medication non-adherence is common in bipolar disorder (BD), few studies have specifically assessed non-adherent BD adolescents and young adults (AYAs). This analysis, using screening and baseline data from an ongoing randomized controlled trial, examined the relationship between BD symptoms and adherence in poorly adherent AYAs.

Methods

AYAs ages 13-21 had sub-optimal adherence defined as missing ⩾ 20% of prescribed BD medication. Mean sample (N = 36) age was 19.1 years (SD = 2.0), 66.7 % (N = 24) female, 25.0 % (n = 9) non-white. Adherence was measured via: 1) self-reported Tablets Routine Questionnaire (TRQ) and 2) electronic monitoring (SimpleMed pillbox). Symptoms were measured with the Hamilton Depression Rating Scale (HAM-D), the Young Mania Rating Scale (YMRS), and the Clinical Global Impression Scale (CGI).

Results

Mean percentage of missed BD medications using TRQ was 34.9 (SD = 28.9) at screening and 30.6 (SD = 33.0) at baseline. Mean percentage of missed medication using SimpleMed at baseline was 42.1 (SD = 37.0). The correlation between TRQ and SimpleMed was r = 0.36 (p = 0. 13). Neither CGI nor age were correlated with adherence. Neither TRQ nor SimpleMed were significantly related to HAM-D. YMRS was positively associated with worse adherence for TRQ (r = 0.36, p = 0.03), but not significantly associated with SimpleMed. Adherence did not differ by other demographic attributes.

Conclusion

Adherence levels varied widely in AYA with BD. Adherence monitoring increased adherence by approximately 4.5%, and use of electronic pill monitoring identified a greater proportion of missed medication vs. self-report. BD symptoms may not consistently identify AYA with adherence challenges.

Prevalence of Dual Diagnoses among Children and Adolescents with Mental Health Conditions

BACKGROUND

The World Health Organisation defines dual diagnosis as the co-occurrence in the same individual of a psychoactive substance use disorder and another psychiatric disorder. Children and adolescents with dual diagnoses represent a significant public health burden in social and financial terms.

AIMS

The objective of the present paper is to provide a review of studies dealing with dual diagnoses and their prevalence among children and adolescents whose primary treatment involves psychiatric conditions.

METHODS

The PRISMA was used to conduct a systematic search. Articles published between January 2010 and May 2022 were searched for analysis.

RESULTS

Eight articles were eventually found eligible for the final content analysis. The analysis of the articles identified the prevalence of dual diagnoses among children and adolescents treated primarily for psychiatric conditions, the gender-specific occurrence of dual diagnoses, methods used to diagnose psychiatric and substance use disorders, types of psychiatric diagnoses involved in dual diagnoses, and prevalence differences contingent on the type of service provision as the main thematic areas. The prevalence of dual diagnoses among the target population ranged from 18.3% to 54% (mean 32.7%). Boys were more likely to experience dual diagnoses and affective disorders were the most frequent psychiatric diagnoses.

CONCLUSION

The importance of the issue and the high prevalence of dual diagnoses make it imperative that this type of research is pursued.

Comorbidities in Youth with Bipolar Disorder: Clinical Features and Pharmacological Management

BACKGROUND

Bipolar Disorder (BD) is a highly comorbid condition, and rates of cooccurring disorders are even higher in youth. Comorbid disorders strongly affect clinical presentation, natural course, prognosis, and treatment.

METHODS

This review focuses on the clinical and treatment implications of the comorbidity between BD and Attention-Deficit/Hyperactivity Disorder, disruptive behavior disorders (Oppositional Defiant Disorder and/or Conduct Disorder), alcohol and substance use disorders, Autism Spectrum Disorder, anxiety disorders, Obsessive-Compulsive Disorder, and eating disorders.

RESULTS

These associations define specific conditions which are not simply a sum of different clinical pictures, but occur as distinct and complex combinations with specific developmental pathways over time and selective therapeutic requirements. Pharmacological treatments can improve these clinical pictures by addressing the comorbid conditions, though the same treatments may also worsen BD by inducing manic or depressive switches.

CONCLUSION

The timely identification of BD comorbidities may have relevant clinical implications in terms of symptomatology, course, treatment and outcome. Specific studies addressing the pharmacological management of BD and comorbidities are still scarce, and information is particularly lacking in children and adolescents; for this reason, the present review also included studies conducted on adult samples. Developmentally-sensitive controlled clinical trials are thus warranted to improve the prognosis of these highly complex patients, requiring timely and finely personalized therapies.

Substance use disorders in bipolar disorders: Clinical correlates and treatment response to mood stabilizers

BACKGROUND

Substance use disorders (SUD) in bipolar disorders (BD) present relevant impact on psychopathological features and illness course. The present study was aimed at analyzing the clinical correlates of this comorbidity.

METHODS

In- and outpatients suffering from BD were recruited. Socio-demographic and clinical characteristics were collected. Subjects underwent a psychopathological assessment evaluating affective temperaments and impulsiveness. The appraisal of treatment response to mood stabilizers was conducted with the Alda Scale. Bivariate analyses were used to compare subjects suffering from BD with (SUD-BD) or without comorbid SUD (nSUD-BD) (p<0.05). A logistic regression model was performed to identify specific correlates of SUD in BD.

RESULTS

Among the 161 included subjects, 63 (39.1%) were diagnosed with comorbid SUD. SUD-BD subjects showed younger age at onset (p = 0.003) and higher prevalence of BD type I diagnosis (BDI) (p<0.001). Furthermore, lifetime mixed features (p<0.001), psychotic symptoms (p<0.001), suicide attempts (p = 0.002), aggression (p = 0.003), antidepressant-induced manic switch (p = 0.003), and poor treatment response (p<0.001) were more frequent in the SUD-BD subgroup. At the logistic regression, SUD revealed a positive association with BD type I diagnosis (Odds Ratio (OR) 4.77, 95% CI 1.66-13.71, p = 0.004) and mixed features (OR 2.54, 95% CI 1.17-5.53, p = 0.019).

LIMITATIONS

The cross-sectional study design and the relatively small sample size may limit the generalizability of the findings. The retrospective evaluation of comorbid SUD could have biased the outcome assessment.

CONCLUSIONS

Subjects with BD and SUD are characterized by higher clinical severity and require careful assessment of treatment response.

Substance Use among Youth in Community and Residential Mental Health Care Facilities in Ontario, Canada

There is a need to improve the integration of substance use and mental health care for children and youth. This study examines risk and protective factors for substance use among youth with mental health conditions who received community-based or residential care services between 2012–2020 in Ontario, Canada. In this study, a cross-sectional design was used to examine patterns and factors associated with substance use among youth (12–18 years) assessed in the community (n = 47,418) and residential (n = 700) mental health care facilities in Ontario, Canada. Youth were assessed with the interRAI Child and Youth Mental Health Assessment (ChYMH). Substance use is identified by any substance use (including alcohol) 14 to 30 days prior to assessment. Logistic regression with generalized estimating equations was used to examine clinical, psychosocial, and environmental factors associated with substance use. This study shows that 22.3% of youth reported the use of substances in the community settings and 37% in residential settings. Older age group (Youth older than 16 years), being a victim of abuse, having experienced self-injurious ideation/attempt, being at risk of disrupted education, and having a parent/caregiver with addiction or substance use disorder were significantly associated with substance use. Several factors reduced the risk of substance use, including being a female, having anxiety symptoms, and having cognition problems. In conclusion, the study found that individual and parental factors increase youth’s risk of substance use, highlighting the importance of a holistic approach that includes consideration of social and biological risk factors to prevention/risk reduction, risk assessment, management, and recovery.

Bipolar disorder and regretted behavior in relation to use of social media and online dating

OBJECTIVES

Individuals with bipolar disorder are prone to risk-taking behavior that is subsequently regretted. Here, we investigated whether this also occurs in relation to the use of social media and online dating.

METHODS

A questionnaire-based survey focusing on the use of social media and online dating was conducted among individuals attending an outpatient clinic for bipolar disorder, and among individuals attending two general practices in the same region (controls). The association between bipolar disorder and self-reported regretted behavior on social media/online dating sites was investigated using logistic regression with adjustment for age and sex.

RESULTS

A total of 124 individuals with bipolar disorder and 196 individuals without affective disorder from the general practices (controls) formed the study sample. Among the individuals with bipolar disorder who used social media, 66% reported regretted behavior as a consequence of this use, whereas only 31% of the controls reported such behavior. The corresponding numbers for individuals who used online dating were 65% for those with bipolar disorder and 31% for the controls. Following adjustment for age and sex, bipolar disorder was associated with elevated risk of regretted behavior in relation to the use of both social media (adjusted odds ratio: 3.6, 95% CI: 2.2, 5.9) and online dating (adjusted odds ratio: 4.1, 95% CI: 2.1, 8.0).

CONCLUSIONS

These findings suggest that risk-taking behavior and subsequent regret among individuals with bipolar disorder extend to social media and online dating. Cautious use of these platforms may be particularly relevant for individuals with bipolar disorder.

Randomized Controlled Trial of an Integrated Family-Based Treatment for Adolescents Presenting to Community Mental Health Centers

Most adolescents presenting to community mental health centers have one or more comorbidities (internalizing, externalizing, and substance use problems). We evaluated an integrated family-based outpatient treatment for adolescents (OPT-A) that can be delivered in a community mental health center by a single therapist. A sample of 134 youth/families were randomized to receive OPT-A or usual services, delivered at the same public sector mental health center. Repeated, multi-informant assessments occurred through 18-months post-baseline. At baseline, the sample displayed low internalizing symptoms, moderate substance use, and high externalizing problems. Compared to usual services, OPT-A had effects on abstinence rates, retention, motivation, parent involvement, and satisfaction, but not on internalizing or externalizing problems. While OPT-A achieved some key improvements for youth who present to community mental health centers, and families were satisfied with treatment, continued work is necessary to examine treatments for comorbidity while balancing treatment feasibility and complex strategies to boost treatment effectiveness.

Suicidal ideation and attempts in unipolar versus bipolar depression: analysis of 131,740 adolescent inpatients nationwide

Objective To evaluate the risk of suicidal ideation and suicidal attempt in adolescents with unipolar depression (UD) versus bipolar depression (BD). Method We included 131,740 adolescents (12-17y), with primary diagnoses of UD (92.6%) and BD (7.4%) from the nationwide inpatient sample. We calculated odds ratio (OR) for suicidal behaviors using logistic regression adjusted for demographic confounders and comorbidities. Results Suicidal ideation and suicidal attempt were seen in 14.5% and 38.6% respectively of total inpatients and both were seen in higher proportion of UD. Females have higher odds for suicidal attempt (OR 1.13, 95%CI 1.09-1.16) compared to males. After adjusting for confounders, UD had a marginally higher odds (OR 1.06, 95%CI 1.02-1.11) of suicidal attempt and 1.2 times higher odds (95%CI 1.11-1.26) of suicidal ideation compared to BD. Among adolescents with suicidal attempt, 93.2% had bipolar depression and 6.8% had unipolar depression.The majority of suicidal attempt in the inpatient setting was seen in females, with bipolar depression (74.6% vs. 67.3% in unipolar). Conclusion Our finding is clinically relevant and accentuates the need for early identification of BD, accurate differentiation of UD versus BD for targeted and adequate treatment to minimize suicidal behaviors, treat and manage them per treatment guidelines, and evolving research.

Comparisons of the clinical outcomes between early- and adult-onset bipolar disorders: A prospective cohort analysis

BACKGROUND

This study aimed to explore the impact of age-at-onset on clinical outcomes in bipolar-spectrum disorders, including the development of alcohol or substance use disorder, suicidality, and psychiatric hospitalization.

METHODS

This population-based study enrolled newly-diagnosed bipolar-spectrum patients, including 4,367 patients with early-onset bipolar disorder (EOBD), 64,787 patients with adult-onset bipolar disorder (AOBD), and the same number of age-controlled comparison subjects without bipolar disorder, from Taiwan's National Health Insurance Research Database. Time-dependent covariate Cox regression models were used to estimate the effect of age-at-onset on clinical outcomes with adjustment for pre-existing psychiatric comorbid conditions and pharmacological treatment patterns. Sensitivity analyses using different definitions of study sample and age cutoffs were conducted.

RESULTS

The average follow-up duration was 5.7 years. After adjustment with time-dependent covariates and chronological age, there were no significant differences in the risks for developing new-onset alcohol or substance use disorders and psychiatric hospitalization between EOBD and AOBD patients. Although EOBD patients had a higher risk of hospitalization for suicide and self-harm than did AOBD patients in primary analysis, this finding did not replicated in the sensitivity analyses.

LIMITATIONS

The symptom profile and severity of bipolar disorder was not available in the NHIRD; therefore, surrogate indicators of clinical outcome might not be sensitive enough to detect the subtle differences.

CONCLUSIONS

EOBD and AOBD patients had similar risks for developing alcohol or substance use disorders. Their risk of psychiatric hospitalization was similar. Whether EOBD patients might have a higher risk of hospitalization for suicide and self-harm warrants further investigations.

Substance use disorders in adolescent and young adult relatives of probands with bipolar disorder: What drives the increased risk?

BACKGROUND

Adults with bipolar disorder (BD) have higher rates of substance use disorders (SUDs) compared to the general population. SUD rates in young offspring/relatives of BD probands, as well as factors which drive those rates, are not as well-characterized.

METHODS

We aimed to examine SUD prevalence among adolescent/young adult offspring and relatives of probands with and without BD. Data were collected from five sites in the US and Australia during 2006-2011. Youth offspring/relatives ("Relatives of BD probands;" n=267; mean age=16.8years; ±2.9S.D.), identified through a proband family member with DSM-IV BD (Type I or II), were compared to offspring/relatives of control probands ("relatives of control probands;" n=149; mean age=17.4years; ±2.9S.D.). Logistic regression with generalized estimating equations was used to compare the groups across a range of substance use and SUD variables. Odds ratios were calculated for lifetime prevalence of substance outcomes.

RESULTS

Bivariate analyses showed DSM-IV SUDs were more prevalent among relatives of BD probands than among relatives of control probands (29% vs. 18%; p=0.01). Generalized estimating equation models showed BD mood and childhood-onset externalizing disorders in adolescent and young adult relatives to each significantly increase the odds (OR=2.80-3.17; p<0.02) for the development of several substance variables among all relatives, whereas the risk of SUDs in relatives was not increased when the relatives had no mood or externalizing disorders themselves.

CONCLUSION

Relatives of BD probands with lifetime mood and externalizing disorders report more substance use/SUDs than relatives of control probands. In contrast, SUD outcomes in relatives of BD probands without mood or externalizing disorders were no different from control relatives without psychopathology. Early recognition and treatment of psychiatric disorders may lead to less substance use in this highly vulnerable population.

Development of Alcohol and Drug Use in Youth With Manic Symptoms

OBJECTIVE

This analysis examined alcohol and drug use over a 6-year follow-up of children in the Longitudinal Assessment of Manic Symptoms (LAMS) study.

METHOD

LAMS screened 6- to 12.9-year-old children visiting 9 child outpatient mental health (MH) clinics, using the Parent General Behavior Inventory 10-item mania scale. All children with scores ≥12 and a matched group with scores ≤12 were invited to enroll. Children were assessed every 6 months. Assessments included demographics, family, MH history, child diagnoses, child stress, and alcohol and drug use. Univariate, bivariate, and interval censored survival analyses were conducted.

RESULTS

Of those >9 years at baseline, 34.9% used alcohol at least once, with 11.9% regular users; 30.1% used drugs at least once, with 16.2% regular users. Predictors of any alcohol use were parental marital status, older age at study entry, a primary diagnosis of disruptive behavior disorders at baseline, and number of impactful child life events. Predictors of regular alcohol use included parental marital status, age, and sustained high mania symptoms over the first 24 months of follow-up. Predictors of any drug use were single parent, parental substance use, and stressful child life events. Predictors of regular drug use were parental marital status, stressful child life events, and a baseline disruptive behavior disorder diagnosis. Baseline medications decreased the risk of regular drug use.

CONCLUSION

Longitudinal data on youth with elevated manic symptoms suggest that comorbid disruptive behavior disorder, manic symptom burden, family environment, and stress are predictors of initiation and regular use of substances.

Decreasing Rates of Pediatric Bipolar Within an Outpatient Practice

PROBLEM

Pediatric bipolar disorder (PBD) prevalence is estimated to be 1-3%. Nationally and internationally, rates of PBD have increased by over 400%. However, in Iowa and at one psychiatric clinic in Iowa, from 2008-2013, there was a decrease in PBD diagnosis of 33 and 51.2% respectively. This study examined the diagnosing practices of PBD by local providers in one outpatient mental health center.

METHOD

Parents completed a screening packet to differentiate between PBD and attention deficit hyperactivity disorder (ADHD) using three tools: Child Mania Rating Scale (CMRS), Child Behavior Checklist-Mania Scale (CBCL-MS), and the NICHQ Vanderbilt. Symptom agreement analysis between the screeners and the provider's clinical diagnoses was performed using ANOVA and Tukey HSD posthoc analysis.

FINDINGS

A 19.6% of the participants were positive for PBD on the CMRS and 55.9% were positive on the CBCL-MS.  A total of 36.60% were positive for ADHD on the Vanderbilt.  The screening data compared to the provider's clinical diagnosis showed no diagnostic agreement for PBD (p < .05). Providers' rates of diagnosing PBD did not match the rate of PBD symptoms identified by the screeners.

CONCLUSION

Further evidence to determine the criteria and use of current screening measures for PBD is needed to guide practice for distinguishing PBD from related disorders.

Comorbidity in pediatric bipolar disorder: prevalence, clinical impact, etiology and treatment

BACKGROUND

Research on pediatric bipolar disorder (PBD) is providing a plethora of empirical findings regarding its comorbidity. We addressed this question through a systematic review concerning the prevalence, clinical impact, etiology and treatment of main comorbid disorders involved.

METHOD

A comprehensive database search was performed from 1990 to August 2014. Overall, 167 studies fulfilled the inclusion criteria.

RESULTS

Bipolar youth tend to suffer from comorbid disorders, with highest weighted mean prevalence rate arising from anxiety disorders (54%), followed by attention deficit hyperactivity disorder (ADHD) (48%), disruptive behavior disorders (31%), and substance use disorders (SUD) (31%). Furthermore, evidence indicates that ADHD and anxiety disorders negatively affect the symptomatology, neurocognitive profile, clinical course and the global functioning of PBD. Likewise, several theories have been posited to explain comorbidity rates in PBD, specifically common risk factors, one disorder being a risk factor for the other and nosological artefacts. Lastly, randomized controlled trials highlight a stronger therapeutic response to stimulants and atomoxetine (vs. placebo) as adjunctive interventions for comorbid ADHD symptoms. In addition, research focused on the treatment of other comorbid disorders postulates some benefits from mood stabilizers and/or SGA.

LIMITATIONS

Epidemiologic follow-up studies are needed to avoid the risk of nosological artefacts. Likewise, more research is needed on pervasive developmental disorders and anxiety disorders, especially regarding their etiology and treatment.

CONCLUSIONS

Psychiatric comorbidity is highly prevalent and is associated with a deleterious clinical effect on pediatric bipolarity. Different etiological pathways may explain the presence of these comorbid disorders among bipolar youth. Standardized treatments are providing ongoing data regarding their effectiveness for these comorbidities among bipolar youth.