Depression-Anxiety Coupling Strength as a predictor of relapse in major depressive disorder: A CAN-BIND wellness monitoring study report.

BACKGROUND: A critical challenge in the study and management of major depressive disorder (MDD) is predicting relapse. We examined the temporal correlation/coupling between depression and anxiety (called Depression-Anxiety Coupling Strength, DACS) as a predictor of relapse in patients with MDD. METHODS: We followed 97 patients with remitted MDD for an average of 394 days. Patients completed weekly self-ratings of depression and anxiety symptoms using the Quick Inventory of Depressive Symptoms (QIDS-SR) and the Generalized Anxiety Disorder 7-item scale (GAD-7). Using these longitudinal ratings we computed DACS as random slopes in a linear mixed effects model reflecting individual-specific degree of correlation between depression and anxiety across time points. We then tested DACS as an independent variable in a Cox proportional hazards model to predict relapse. RESULTS: A total of 28 patients (29 %) relapsed during the follow-up period. DACS significantly predicted confirmed relapse (hazard ratio [HR] 1.5, 95 % CI [1.01, 2.22], p = 0.043; Concordance 0.79 [SE 0.04]). This effect was independent of baseline depressive or anxiety symptoms or their average levels over the follow-up period, and was identifiable more than one month before relapse onset. LIMITATIONS: Small sample size, in a single study. Narrow phenotype and comorbidity profiles. CONCLUSIONS: DACS may offer opportunities for developing novel strategies for personalized monitoring, early detection, and intervention. Future studies should replicate our findings in larger, diverse patient populations, develop individual patient prediction models, and explore the underlying mechanisms that govern the relationship of DACS and relapse.

Antecedents of major depressive, bipolar, and psychotic disorders: A systematic review and meta-analysis of prospective studies.

Major depressive, bipolar, or psychotic disorders are preceded by earlier manifestations in behaviours and experiences. We present a synthesis of evidence on associations between person-level antecedents (behaviour, performance, psychopathology) in childhood, adolescence, or early adulthood and later onsets of major depressive disorder, bipolar disorder, or psychotic disorder based on prospective studies published up to September 16, 2022. We screened 11,342 records, identified 460 eligible publications, and extracted 570 risk ratios quantifying the relationships between 52 antecedents and onsets in 198 unique samples with prospective follow-up of 122,766 individuals from a mean age of 12.4 to a mean age of 24.8 for 1522,426 person years of follow-up. We completed meta-analyses of 12 antecedents with adequate data. Psychotic symptoms, depressive symptoms, anxiety, disruptive behaviors, affective lability, and sleep problems were transdiagnostic antecedents associated with onsets of depressive, bipolar, and psychotic disorders. Attention-deficit/hyperactivity and hypomanic symptoms specifically predicted bipolar disorder. While transdiagnostic and diagnosis-specific antecedents inform targeted prevention and help understand pathogenic mechanisms, extensive gaps in evidence indicate potential for improving early risk identification.

Cognitive behavioural therapy for social anxiety disorder in people with bipolar disorder: a case series.

BACKGROUND: Social anxiety disorder increases the likelihood of unfavourable outcomes in people with bipolar disorder. Cognitive behavioural therapy (CBT) is the first-line treatment for social anxiety disorder. However, people with bipolar disorder have been excluded from the studies that this recommendation is based on.  METHOD: We completed a case series to obtain initial data on whether CBT is an acceptable, safe, and effective treatment for social anxiety disorder in people with bipolar disorder. RESULTS: Eleven euthymic participants with bipolar disorder attended up to sixteen treatment and three follow-up sessions of CBT for social anxiety disorder. Participants attended on average 95% of the offered CBT sessions. No adverse events were reported. Participants' mean score on the Social Phobia Inventory decreased from 46.5 (SD 6.6) before the treatment to 19.8 (SD 11.9) at the end of the sixteen-session intervention and further to 15.8 (SD 10.3) by the end of the 3-month follow-up. This degree of improvement is equivalent to the effect observed in studies of CBT for social anxiety disorder in people without severe mental illness. CONCLUSIONS: This case series provides preliminary evidence that CBT is acceptable, safe, and effective for treating social anxiety disorder in people with bipolar disorder during euthymia. A randomized controlled trial is needed to confirm these findings, and to establish whether treatment for social anxiety disorder improves the course of bipolar disorder.

Preferences for virtual versus in-person mental and physical healthcare in Canada: a descriptive study from a cohort of youth and their parents enriched for severe mental illness.

BACKGROUND: Virtual care may improve access to healthcare and may be well suited to digitally connected youth, but experts caution that privacy and technology barriers could perpetuate access inequities. Success of virtual care will depend on its alignment with patient preferences. However, information on preferences for virtual and in-person healthcare is missing, especially for youth. We sought to quantify preferences for and barriers to virtual versus in-person mental and physical healthcare in youth and their parents, including in vulnerable segments of the population such as families with a parent with severe mental illness (SMI). METHODS: Participants were 219 youth and 326 parents from the Families Overcoming Risks and Building Opportunities for Wellbeing cohort from Canada, of which 61% of youth had at least one parent with SMI. Participants were interviewed about healthcare preferences and access to privacy/technology between October 2021 and December 2022. RESULTS: Overall, youth reported a preference for in-person mental (66.6%) and physical healthcare (74.7%) versus virtual care or no preference, and to a somewhat lesser degree, so did their parents (48.0% and 53.9%). Half of participants reported privacy/technology barriers to virtual care, with privacy being the most common barrier. Preferences and barriers varied as a function of parent SMI status, socioeconomic status and rural residence. CONCLUSIONS: The majority of youth and parents in this study prefer in-person healthcare, and the preference is stronger in youth and in vulnerable segments of the population. Lack of privacy may be a greater barrier to virtual care than access to technology.

Depressive symptoms in youth before and during the COVID-19 pandemic: longitudinal investigation of patterns dependent on age, sex, and family history of mental illness.

BACKGROUND: Cross-sectional studies report high levels of depressive symptoms during the COVID-19 pandemic, especially in youth and females. However, longitudinal research comparing depressive symptoms before and during the pandemic is lacking. Little is known about how the pandemic affected individuals with familial history of mental illness. The present study examines the impact of the pandemic on youth depressive symptoms, including offspring of parents with major mood and psychotic disorders. METHODS: Between March 2018 and February 2020, we measured depressive symptoms in 412 youth aged 5-25 years. We measured depressive symptoms again in 371 (90%) of these youth between April 2020 and May 2022. Two thirds (249) participants had a biological parent with a major mood or psychotic disorder. We tested the effect of the pandemic by comparing depression symptoms before and after March 2020. We examined age, sex, and family history as potential moderators. RESULTS: We found an overall small increase in youth depressive symptoms (b = 0.07, 95% CI -0.01 to 0.15, p = 0.062). This was driven by an increase in female youth without familial history of mental illness (b = 0.35, 95% CI 0.14 to 0.56, p = 0.001). There was no change in depressive symptoms among offspring of parents with mental illness or males. CONCLUSIONS: Our results provide reassurance about the wellbeing of children of parents with mental illness during a period of restricted access to resources outside the family. Rather than increasing symptoms in established risk groups, the pandemic led to a redistribution of depression burden towards segments of the youth population that were previously considered to be low-risk.

Developmental Trajectory of Body Weight in Youths at Risk for Major Mood Disorders.

Importance: Mood disorders are associated with increased body weight, especially in females, but it remains unknown when the weight increase starts. Objectives: To examine sex-specific weight trajectories associated with familial mood disorder risk and determine the age at which youth at familial risk for mood disorders begin to diverge in weight from controls. Design, Setting, and Participants: This community-based, single-center, acceleration cohort study of youth at familial risk for mood disorders and controls with yearly follow-ups (mean [SD], 5 [2.1] years) from January 1, 2014, to December 31, 2022, assessed 394 unaffected female and male offspring (aged 3 to 20 years) of parents with or without a mood disorder. Parents with mood (depressive or bipolar) disorders were recruited through adult mental health services. Parents of control participants were matched on age and socioeconomic factors and recruited through acquaintance referrals or schools. Exposures: The youth in the familial mood risk group had at least 1 parent with a major mood disorder, whereas control youth did not have a parent with a mood disorder. Main Outcomes and Measures: Body mass indexes (BMIs) were calculated as weight in kilograms divided by height in meters squared from measured weight and height at annual assessments and then converted to age- and sex-adjusted z scores (zBMIs). Repeated-measure regressions examined the association between zBMI and age in youth at familial risk of mood disorders and controls while accounting for sex. Sensitivity analyses accounted for socioeconomic status, prematurity, and birth weight. Results: Of 394 participants (mean [SD] age, 11.5 [3.6] years; 203 [51.5%] female), youths at familial risk for mood disorders showed overall no difference in body weight (ß = 0.12; 95% CI, 0.01-0.24) from controls. A sex-specific difference was detected, with females at familial risk showing a rapid peripubertal increase in body weight, leading to significantly increased zBMIs at 12 years and older compared with controls (ß = 0.57; 95% CI, 0.31-0.82) independent of socioeconomic status, prematurity, or birth weight. Males did not differ from controls at any age. Conclusions and Relevance: In this cohort study, females with a family history of mood disorders were prone to weight gain starting around puberty and predating mood disorder onset. Early interventions aiming to prevent adverse mental and physical outcomes in this vulnerable group need to start in childhood.

Transdiagnostic risk of mental disorders in offspring of affected parents: a meta-analysis of family high-risk and registry studies.

The offspring of parents with mental disorders are at increased risk for developing mental disorders themselves. The risk to offspring may extend transdiagnostically to disorders other than those present in the parents. The literature on this topic is vast but mixed. To inform targeted prevention and genetic counseling, we performed a comprehensive, PRISMA 2020-compliant meta-analysis. We systematically searched the literature published up to September 2022 to retrieve original family high-risk and registry studies reporting on the risk of mental disorders in offspring of parents with any type of mental disorder. We performed random-effects meta-analyses of the relative risk (risk ratio, RR) and absolute risk (lifetime, up to the age at assessment) of mental disorders, defined according to the ICD or DSM. Cumulative incidence by offspring age was determined using meta-analytic Kaplan-Meier curves. We measured heterogeneity with the I2 statistic, and risk of bias with the Quality In Prognosis Studies (QUIPS) tool. Sensitivity analyses addressed the impact of study design (family high-risk vs. registry) and specific vs. transdiagnostic risks. Transdiagnosticity was appraised with the TRANSD criteria. We identified 211 independent studies that reported data on 3,172,115 offspring of parents with psychotic, bipolar, depressive, disruptive, attention-deficit/hyperactivity, anxiety, substance use, eating, obsessive-compulsive, and borderline personality disorders, and 20,428,575 control offspring. The RR and lifetime risk of developing any mental disorder were 3.0 and 55% in offspring of parents with anxiety disorders; 2.6 and 17% in offspring of those with psychosis; 2.1 and 55% in offspring of those with bipolar disorder; 1.9 and 51% in offspring of those with depressive disorders; and 1.5 and 38% in offspring of those with substance use disorders. The offspring's RR and lifetime risk of developing the same mental disorder diagnosed in their parent were 8.4 and 32% for attention-deficit/hyperactivity disorder; 5.8 and 8% for psychosis; 5.1 and 5% for bipolar disorder; 2.8 and 9% for substance use disorders; 2.3 and 14% for depressive disorders; 2.3 and 1% for eating disorders; and 2.2 and 31% for anxiety disorders. There were 37 significant transdiagnostic associations between parental mental disorders and the RR of developing a different mental disorder in the offspring. In offspring of parents with psychosis, bipolar and depressive disorder, the risk of the same disorder onset emerged at 16, 5 and 6 years, and cumulated to 3%, 19% and 24% by age 18; and to 8%, 36% and 46% by age 28. Heterogeneity ranged from 0 to 0.98, and 96% of studies were at high risk of bias. Sensitivity analyses restricted to prospective family high-risk studies confirmed the pattern of findings with similar RR, but with greater absolute risks compared to analyses of all study types. This study demonstrates at a global, meta-analytic level that offspring of affected parents have strongly elevated RR and lifetime risk of developing any mental disorder as well as the same mental disorder diagnosed in the parent. The transdiagnostic risks suggest that offspring of parents with a range of mental disorders should be considered as candidates for targeted primary prevention.

Familial traits of bipolar disorder: A systematic review and meta-analysis.

BACKGROUND: Genetic studies of bipolar disorder (BD) have shown varied results, which is in part because of the heterogeneity of the disorder. Identifying clinical phenotypes of BD could reduce variability and benefit research. Since BD has a robust genetic component, studies can investigate clinical traits that cluster in families to identify phenotypes with a probable genetic basis. METHODS: We conducted a systematic review of the current literature on familial clinical traits of BD. Text screening and data extraction were performed independently by two reviewers, and random effects meta-analysis was used. RESULTS: Of 1117 unique records, 16 studies met inclusion criteria. These studies indicated 14 potentially familial traits of BD: age of onset (OR: 4.50; 95% CI: [3.25, 6.22]), bipolar type (OR: 2.05 [1.50, 2.79]), lithium response (OR: 3.71 [1.28, 10.82]), polarity at onset (OR: 1.17 [1.03, 1.34]), psychotic features (OR: 2.20 [1.51, 3.20]), mood-incongruent psychosis (OR: 2.52 [1.66, 3.83]), puerperal psychosis (OR: 6.54 [2.55, 16.77]), rapid cycling (OR: 4.95 [0.96, 25.40]), suicide attempt (OR: 1.04 [0.65, 1.67]), alcoholism (OR: 1.53 [1.09, 2.16]), obsessive-compulsive disorder (OR: 3.10 [1.31; 7.09]), panic disorder (OR: 2.69 [1.12; 6.48]), social anxiety disorder (OR: 1.00 [0.39, 2.55]), and specific phobia (OR: 1.94 [0.95; 3.96]). For most traits, tests of heterogeneity were significant and publication bias was likely. CONCLUSION: The results of our review and meta-analysis highlight the lack of studies investigating familial clinical traits of BD, despite the need to address heterogeneity. The large degree of variability between studies must be reduced for future research.

Sex-Specific Transmission of Anxiety Disorders From Parents to Offspring.

Importance: Although anxiety disorders are known to run in families, the relative contribution of genes and environment is unclear. Patterns of sex-specific transmission of anxiety may point to different pathways in how parents pass anxiety disorders down to their children; however, the association of parent and offspring sex with the transmission of anxiety disorders has not been previously studied. Objective: To examine whether the transmission of anxiety from parents to children is sex specific. Design, Setting, and Participants: This cross-sectional family study recruited participants from the general population (enriched for familial risk of mood disorders) in Nova Scotia, Canada, from February 1, 2013, to January 31, 2020. Exposures: Anxiety disorder in the same-sex or opposite-sex parent. Main Outcomes and Measures: Semistructured interviews were used to establish lifetime diagnoses of anxiety disorder in parents and offspring. The association between anxiety disorder in the same-sex or opposite-sex parent and anxiety disorders in the offspring was tested with logistic regression. Results: A total of 398 offspring (203 female offspring with a mean [SD] age of 11.1 [3.7] years and 195 male offspring with a mean [SD] age of 10.6 [3.1] years) of 221 mothers and 237 fathers participated in the study. Anxiety disorders in the same-sex parent (odds ratio [OR], 2.85; 95% CI, 1.52-5.34; P = .001) were associated with increased rates of anxiety disorders in the offspring, whereas anxiety disorders in the opposite-sex parent (OR, 1.51; 95% CI, 0.81-2.81; P = .20) were not. Sharing a household with a same-sex parent without anxiety was associated with lower rates of offspring anxiety (OR, 0.38; 95% CI, 0.22-0.67; P = .001), but the presence of an opposite-sex parent without anxiety was not (OR, 0.96; 95% CI, 0.56-1.63; P = .88). Conclusions and Relevance: In this cross-sectional study of families, an association between the same-sex parent's anxiety disorder and anxiety disorders in offspring suggests an environmental mechanism, such as modeling. Future studies should establish whether treating parents' anxiety may protect their children from developing an anxiety disorder.

Parental Overprotection and Sleep Problems in Young Children.

Poor sleep in children predicts mental and physical disorders later in life. Identifying and changing modifiable factors associated with sleep problems in young children may improve their health trajectory. Our aim was to establish whether overprotective parenting was associated with problems sleeping in children. Parents of children aged 2-6 years completed questionnaires about their own anxiety, parenting style, and about their children's sleep. We obtained 307 reports on 197 children from 240 parents. Using mixed-effects linear regression, we found that maternal (beta = 0.26, 95% CI 0.11 to 0.41, p = 0.001) and paternal (beta = 0.35, 95% CI 0.17 to 0.53, p < 0.001) overprotection were associated with impaired sleep in children. This relationship remained unchanged when controlling for parental anxiety. Decreasing parents' overprotection may improve children's sleep, and reduce the risk of physical and mental disorders later in their life.

Prevalence of attention-deficit/hyperactivity disorder in people with mood disorders: A systematic review and meta-analysis.

OBJECTIVE: Attention-deficit/hyperactivity disorder (ADHD) in mood disorders is associated with unfavorable outcomes, including more frequent mood episodes, and increased risk of suicide. The reported prevalence of ADHD in individuals with mood disorders varies widely. METHODS: We searched PsycInfo and PubMed for articles published before September 21st , 2020, using search terms for ADHD and mood disorders. We included original data on the prevalence of ADHD in individuals with bipolar disorder (BD) or major depressive disorder (MDD). We estimated the prevalence of ADHD, by developmental period and disorder using random-effects meta-analyses. We also compared the rate of ADHD in people with MDD and BD, and with and without mood disorders. RESULTS: Based on 92 studies including 17089 individuals, prevalence of ADHD in BD is 73% (95% CI 66-79) in childhood, 43% (95% CI 35-50) in adolescence, and 17% (95% CI 14-20) in adulthood. Data from 52 studies with 16897 individuals indicated that prevalence of ADHD in MDD is 28% (95% CI 19-39) in childhood, 17% (95% CI 12-24) in adolescence, and 7% (95% CI 4-11) in adulthood. ADHD was three times more common in people with mood disorders compared to those without and 1.7 times more common in BD compared to MDD. CONCLUSION: People with mood disorders are at a significant risk for ADHD. ADHD should be assessed and treated in individuals with BD and MDD. Comprehensive assessment strategies are needed to address challenges of diagnosing ADHD alongside mood disorders.

Properties of common anxiety scales among patients with bipolar disorder.

OBJECTIVES: Almost half of the patients with a bipolar disorder (BD) have anxiety disorder(s) (AD) during their lifetime, but feasible measures for all AD are few. Furthermore, cognitive impairments can compromise reliability of existing scales, since many are needed for full coverage. Thus, we investigated how reliably patients responded to anxiety scales and any symptom overlap to propose future improvements to anxiety assessments. METHODS: We collected 152 observations in patients with BD with the Clinically Useful Anxiety Outcome Scale, Social Phobia Inventory, Panic Disorder Severity Measurement, and Trauma Screening Questionnaire (in total, 57 items). The scales were analyzed as a set in a Rasch model. RESULTS: During our analyses, we found indication that BD outpatients had difficulty differentiating response options to 70% (40/57) of items which were rescored or deleted. Only one case was misfitting (-2.65±.41). In total, 22 items were locally dependent and one indicated misfit. The final model included 25-items and fit the Rasch model (χ2=35.92, DF=50, p=.93). The model was unidimensional, without losing appropriate associations with depression (r = 0.62), suicidality (r = 0.37), and hypomania (r= -0.01). LIMITATIONS: Bolstering the size of less frequent subgroups should be accomplished in future work. CONCLUSION: A unidimensional rather than categorical approach to severity of anxiety might be both useful and feasible in this population. Further development of screens is necessary to enable systematic screening and measurement of anxiety in BD.

Genetic counselling for the prevention of mental health consequences of cannabis use: A randomized controlled trial-within-cohort.

BACKGROUND: Cannabis use is a risk factor for severe mental illness. However, cannabis does not affect everyone equally. Genetic information may help identify individuals who are more vulnerable to the harmful effects of cannabis on mental health. A common genetic variant within the AKT1 gene selectively increases risk of psychosis, only among those who use cannabis. Therapeutically oriented genetic counselling may enable us to reduce cannabis exposure among genetically sensitive individuals. METHODS: Using a trial-within-cohort design, we aim to test if genetic counselling, including the option to receive AKT1 rs2494732 genotype, reduces cannabis use. To this end, we have designed a genetic counselling intervention: Interdisciplinary approach to Maximize Adolescent potential: Genetic counselling Intervention to reduce Negative Environmental effects (IMAGINE). RESULTS: IMAGINE will be implemented in a cohort of children and youth enriched for familial risk for major mood and psychotic disorders. Approximately 110 eligible individuals aged 12-21 years will be randomized in a 1:1 ratio to be offered a single genetic counselling session with a board-certified genetic counsellor, or not. Allocated youth will also be invited to attend a follow-up session approximately 1 month following the intervention. The primary outcome will be cannabis use (measured by self-report or urine screen) at subsequent annual assessments as part of the larger cohort study. Secondary outcomes include intervention acceptability and psychopathology. CONCLUSION: This study represents the first translational application of a gene-environment interaction to improve mental health and test an intervention with potential public health benefits. This study is registered with clinicaltrials.gov (NCT03601026).

Youth Experience Tracker Instrument: A self-report measure of developmental antecedents to severe mental illness.

AIM: We sought to examine the structure, internal consistency, convergent and criterion validity of the Youth Experience Tracker Instrument (YETI), a new brief self-report measure designed to facilitate early identification of risk for severe forms of mental illness, including major depressive disorder, bipolar disorder, and schizophrenia. METHODS: We collected 716 YETIs from 315 individuals aged 8 to 27 with and without familial risk of severe mental illness. The YETI measures six developmental antecedents that precede and predict serious forms of mental illness: affective lability, anxiety, basic symptoms, depressive symptoms, psychotic-like experiences, and sleep. A battery of concurrent questionnaires and interviews measured the same constructs. RESULTS: The best-fitting bifactor model supported the validity of both total score and antecedent-specific subscales. Internal consistency was high for the total score (ω = 0.94) and subscales (ω = 0.80-0.92; ρ = 0.72). The total score captured the majority of information from the 26 YETI items (hierarchical omega ωh = 0.74). Correlations of YETI subscales with established measures of the same constructs (r = 0.45-0.80) suggested adequate convergent validity. We propose cut-offs with high negative predictive values to facilitate efficient risk screening. CONCLUSION: The YETI, a brief self-report measure of antecedents, provides an alternative to using multiple longer instruments. Future research may examine the predictive validity of the YETI for the onset of major mood and psychotic disorders.

Cognition in offspring of parents with psychotic and non-psychotic severe mental illness.

BACKGROUND: Cognitive impairment is a feature of severe mental illness (SMI; schizophrenia, bipolar disorder, major depressive disorder). Psychotic forms of SMI may be associated with greater cognitive impairment, but it is unclear if this differential impairment pre-dates illness onset or whether it reflects a consequence of the disorder. To establish if there is a developmental impairment related to familial risk of psychotic SMI, we investigated cognition in offspring of parents with psychotic and non-psychotic SMI. METHOD: Participants included 360 children and youth (mean age 11.10, SD 4.03, range 6-24), including 68 offspring of parents with psychotic SMI, 193 offspring of parents with non-psychotic SMI, and 99 offspring of control parents. The cognitive battery assessed a range of functions using standardized tests and executive function tasks from the Cambridge Automated Neuropsychological Test Battery. RESULTS: Compared to controls, offspring of parents with psychotic SMI performed worse on overall cognition (ß = -0.32; p < 0.001) and 6 of 15 cognitive domains, including verbal intelligence, verbal working memory, processing speed, verbal learning and memory, verbal fluency, and sustained attention. Offspring of parents with non-psychotic SMI performed worse than controls on 3 of the 15 domain specific cognitive tests, including verbal intelligence, visual memory and decision-making. CONCLUSIONS: Widespread mild-to-moderate cognitive impairments are present in young offspring at familial risk for transdiagnostic psychotic SMI. Offspring at familial risk for non-psychotic SMI showed fewer and more specific impairments in the domains of verbal intelligence, visual memory and decision-making.

Cognitive-behavioural interventions for prevention and treatment of anxiety in young children: A systematic review and meta-analysis.

BACKGROUND: Anxiety disorders are common and impairing throughout the life course. Propensity to anxiety disorders manifests as distress and avoidance of novel stimuli (called behavioural inhibition) as early as in infancy. Already in preschool children, anxiety disorders impact emotional development and school readiness. Anxiety disorders and behavioural inhibition are prospectively associated with increased risk of mood disorders, substance use, and suicide. Therefore, early targeted prevention and treatment need to be considered. Cognitive-behavioural interventions are effective for anxiety in older age group but their efficacy for preschool children remains to be established. METHODS: We searched PsycINFO, PubMed, and Embase until September 19th, 2019 using terms describing anxiety, behavioural inhibition, intervention, and young children. We included studies with young children participating in a cognitive-behavioural intervention for anxiety disorders, anxiety symptoms, or behavioural inhibition. We completed random-effects robust meta-analyses to (1) compare anxiety measures before and after intervention and to (2) compare intervention and control groups. RESULTS: We identified 43 samples including 2656 participants with a mean age of 5.45 (SD = 1.00) years. Anxiety decreased after cognitive-behavioural intervention (standardized mean difference [SMD] = -1.34, 95%CI -1.59 to -1.09, p < 0.0001). Anxiety decreased more in children who received intervention than in children in control conditions (SMD = -0.81, 95%CI -1.00 to -0.63, p < 0.0001). The difference remained significant after correcting for potential publication bias and outliers (SMD = -0.89, 95% CI -1.13 to -0.66, p < 0.0001). The improvement was maintained over follow-up. CONCLUSIONS: Cognitive-behavioural interventions are effective for prevention and treatment of anxiety in young children.

Visual memory and psychotic symptoms in youth.

BACKGROUND: Psychotic symptoms are common during childhood and adolescence and may indicate transdiagnostic risk of future psychiatric disorders. Lower visual memory ability has been suggested as a potential indicator of future risk of mental illness. The relationship between visual memory and clinician-confirmed definite psychotic symptoms in youth has not yet been explored. METHODS: We examined visual memory and psychotic symptoms among 205 participants aged 7-27 years in a cohort enriched for parental mood and psychotic disorders. We assessed visual memory using the Rey Complex Figure Test (RCFT) and psychotic symptoms using validated semi-structured interview measures. We tested the relationship between visual memory and psychotic symptoms using mixed-effects logistic regression. RESULTS: After accounting for age, sex, and family clustering, we found that psychotic symptoms were significantly associated with lower visual memory (OR = 1.80, 95% CI 1.06-3.06, p = 0.030). This result was unchanged after accounting for general cognitive ability. CONCLUSION: Lower visual memory performance is associated with psychotic symptoms among youth, regardless of general cognitive ability. This finding may inform future targeted early interventions.

Visual memory in offspring of parents with mental illness.

Severe mental illness (SMI) refers to impairing and frequently chronic disorders that are difficult to treat. Lower cognitive performance early in life may be a manifestation of risk for SMI. Visual memory has been highlighted as a potential cognitive predictor of future risk of developing bipolar disorder and schizophrenia. We examined visual memory in 214 participants (mean age = 12.62, SD = 4.49) using the Rey Complex Figure Test (RCFT). Our sample included 37 offspring with no parental history of mental illness, 103 offspring with parental history of non-severe mental illness (NSMI), and 74 offspring with parental history of SMI. We tested the effects of family history of mental illness on visual memory using mixed-effects linear regression. After accounting for age, sex, and family clustering, we found that as severity of parental mental illness increases, offspring visual memory performance decreases significantly (b = -3.58, 95% CI -6.79 to -0.37, p = 0.029). We found that severity of parental mental illness predicts visual memory ability. This finding may help identify youth most at risk of developing mental illness and thus inform future interventions.

Affective lability in offspring of parents with major depressive disorder, bipolar disorder and schizophrenia.

Affective lability, defined as the propensity to experience excessive and unpredictable changes in mood, has been proposed as a potential transdiagnostic predictor of major mood and psychotic disorders. A parental diagnosis of bipolar disorder has been associated with increased affective lability in offspring. However, the association between affective lability and family history of other mood and psychotic disorders has not been examined. We measured affective lability using the self- and parent-reported Children's Affective Lability Scale in a cohort of 320 youth aged 6-17 years, including 137 offspring of a parent with major depressive disorder, 68 offspring of a parent with bipolar disorder, 24 offspring of a parent with schizophrenia, and 91 offspring of control parents. We tested differences in affective lability between groups using mixed-effects linear regression. Offspring of a parent with major depressive disorder (ß = 0.46, 95% CI 0.17-0.76, p = 0.002) or bipolar disorder (ß = 0.47, 95% CI 0.12-0.81, p = 0.008) had significantly higher affective lability scores than control offspring. Affective lability did not differ significantly between offspring of a parent with schizophrenia and offspring of control parents. Our results suggest that elevated affective lability during childhood is a marker of familial risk for mood disorders.