Severe and complex youth depression: Clinical and historical features of young people attending a tertiary mood disorders clinic

Self-Reported Mood and Lifestyle-Related Physical Activity of Young Adults With Major Depressive Disorder

We investigated whether mood and lifestyle-related indicators of physical health are differentially expressed according to self-reported levels of depressive symptoms among young adults with a current episode of major depression. In a cross-sectional study, we recruited 94 young adults (females = 67, 71.3%; males = 27, 28.7%; aged 18-35 years) with a current episode of major depression. We assessed their mood with the Profile of Mood States (POMS), and Beck Anxiety Inventory-(BAI), sleep with the Pittsburgh Sleep Quality Index (PSQI), physical activity with the Simple Physical Activity Questionnaire (SIMPAQ), and their cardiorespiratory fitness. Participants' depression levels were classified as follows using established cut-points: (a) Mild Depressive Symptoms (MIDS, BDI-II 14-19 points, n = 17), (b) Moderate Depressive Symptoms (MODS, BDI-II 20-28 points, n = 37) or (c) Severe Depressive Symptoms (SEDS, BDI-II 29-63 points, n = 40). As expected, we found that young adults with SEDS, when compared to those with MODS and MIDS, showed higher depressive mood on the POMS, and they exhibited greater anxiety symptoms, lower reported 'vigor' on physical activity measures, worse sleep quality as expressed by their global score sleep; daytime dysfunction; and sleep disturbance, and they showed lower cardiorespiratory fitness. Those with moderate depressive symptoms only differed from those with mild symptoms with respect to hostility, fatigue and mood disturbance. Although there was a gradient whereby worse mental and physical health indicators were more closely related to the SEDS depression categorization, while healthier indicators were associated with the MIDS category, some parameters were not different between the MDD severity groups, particularly when comparing MIDS and MODS. Clinicians treating patients with MDD should consider these factors when designing lifestyle-based interventions.

Characteristics and clinical needs of young tertiary students attending a specialist mood disorders clinic

OBJECTIVE

To investigate the clinical characteristics of tertiary students and non-students attending a specialist clinic for severe mood disorders.

METHOD

Medical record audit of clients discharged from the Youth Mood Clinic (YMC). Data extracted included depressive symptomatology, suicidal ideation, self-harm, suicide attempt, tertiary education engagement, drop-out and deferral.

RESULTS

Data from 131 clients (M age = 19.58 years, SD = 2.66) were analysed, including 46 tertiary students. Relative to non-students, at intake, tertiary students reported more severe depressive symptomatology (d = 0.43). They were more likely to experience suicidal ideation at intake (V = 0.23), and during treatment (V = 0.18). Tertiary students were also more likely to be living separately to their family of origin (V = 0.20) but were less likely to have experienced parental separation (V = 0.19). 21.73% of tertiary students dropped out or deferred study during care.

CONCLUSION

In this cohort, those engaged in tertiary education experience more severe depression and more commonly experienced suicidal ideation. These young people require targeted support for their mental health while they undertake tertiary education.

Risk Factors for Suicide Attempt During Outpatient Care in Adolescents With Severe and Complex Depression

Background: Young people receiving tertiary mental health care are at elevated risk for suicidal behavior, and understanding which individuals are at increased risk during care is important for treatment and suicide prevention. Aim: We aimed to retrospectively identify risk factors for attempted suicide during outpatient care and predict which young people did or did not attempt during care. Method: Penalized logistic regression analysis was performed in a small high-risk sample of 84 young people receiving care at Orygen's Youth Mood Clinic (age: 14-25 years, 51% female) to predict suicide attempt during care (N = 16). Results: Prediction of suicide attempt during care was only moderately accurate (Area Under the Receiver Operating Curve range 0.71; sensitivity 0.57) using a combination of sociodemographic, psychosocial, and clinical variables. The features that best discriminated both groups included suicidal ideation during care, history of suicide attempt prior to care, changes in appetite reported on the PHQ-9, history of parental separation, and parental mental illness. Limitation: Replication of findings in an independent validation sample is needed. Conclusion: While prediction of suicide attempt during care was only moderately successful, we were able to identify individual risk factors for suicidal behavior during care in a high-risk sample.