Francisbarnett8737

A significant proportion of these "preventable" transfers still receive important care from support services during their admission.

Retrospective study.

III.

III.

Electronic self-report mood monitoring tools for individuals with bipolar disorder (BD) are rapidly emerging and predominately employ predefined symptom-based questions. Allowing individuals to additionally choose what they monitor in relation to their BD offers the unique opportunity to capture and gain a deeper insight into patient priorities in this context.

In addition to monitoring mood symptoms with two standardised self-rated questionnaires, 308 individuals with BD participating in the Bipolar Disorder Research Network True Colours electronic mood-monitoring tool for research chose to create and complete additional personalised questions. A content analysis approach was used to analyse the content of these questions.

35 categories were created based on the personalised questions with the most common being physical activity and exercise, anxiety and panic, sleep and coping/stress levels. The categories were grouped into six overarching themes 1) mental health; 2) behaviour and level of functioningstically for BD may be more important for individuals themselves to monitor and have more meaning in capturing their own experience of changes in BD severity.

Approximately 1 in 10 fathers of infants experience symptoms of common mental health disorders, prompting calls for paternal postpartum screening. However, numerous obstacles exist to screening implementation. The aim of this study was to provide preliminary evidence for an alternative approach that starts with asking fathers about their sleep.

Using self-reported father data at 0 to 36 months postpartum (N=1204) from four Australian cohort studies, we assessed associations between responses to various single-item questions about sleep (good to poor), and scores on validated measures of mental health (depression, anxiety and stress). see more We conducted regressions, unadjusted and adjusted for father age, child age, household income, education, first or later child, and marital status, to test associations between sleep and each indicator of mental health. We then meta-analyzed effects and assessed interactions between sleep and each of the covariates.

Consistent associations between fathers' subjective poor sleep and depression, anxiety and stress were replicated across the four cohorts despite heterogeneity in the sleep questions. At the meta-analytic level, effects ranged from weak to moderate (0.25 to 0.37) and were robust to all adjustments. Interactions were only detected between family income and poor sleep, such that the association was stronger for high income fathers.

This study does not address the sensitivity or specificity of single-item sleep questions for assessing paternal mental health risk.

A low-cost, non-stigmatizing single question to postpartum fathers about their sleep may present a gateway opportunity to enquiring about mental health.

A low-cost, non-stigmatizing single question to postpartum fathers about their sleep may present a gateway opportunity to enquiring about mental health.

Suicidal ideation (SI) is a common feature of depression and is closely associated with suicidal behaviour. Social support is implicated as an important determinant of suicide, but it is unclear how different social support dimensions influence SI in young people with depression. This study examines relationships between social support dimensions and SI in young people with major depressive disorder (MDD).

283 Australians aged 15-25, diagnosed with MDD, were recruited from two clinical trials conducted in youth-specific outpatient mental health services. The Multidimensional Scale of Perceived Social Support (MSPSS) was used to evaluate perceived support from Family, Friends, and a Significant Other. Suicidal ideation was assessed using the Suicidal Ideation Questionnaire (SIQ). Hierarchical regression was used to explore associations between social support and SI, controlling for demographics and depression severity.

A hierarchical regression model predicted 9% of the variability in SI, with depression severity being the most significant predictor. Family Support was inversely related to SI and uniquely contributed 2% of the variance; β=-0.15 (95% CI -0.27 - -0.02) p < .05. Demographics and support from Friends or a Significant Other were not significantly associated with SI.

Findings are correlational; it cannot be determined that increasing family support would decrease SI severity.

Perceived Family Support was negatively associated with SI in young people with MDD. This suggests that family members might play important roles in suicide prevention efforts. More work is needed exploring ways to empower families to develop adaptive family functioning and support.

Perceived Family Support was negatively associated with SI in young people with MDD. This suggests that family members might play important roles in suicide prevention efforts. More work is needed exploring ways to empower families to develop adaptive family functioning and support.

It has not been established that suicide risk with mixed symptoms is any greater than the depressive component or if there is synergy between depressive and manic symptoms in conveying suicide risk.

The National Network of Depression Centers Mood Outcomes Program collected data from measurement-based care for 17,179 visits from 6,105 unique individuals with clinically diagnosed mood disorders (998 bipolar disorder, 5,117 major depression). The Patient Health Questionaire-8 (PHQ-8) captured depressive symptoms and the Altman Self-Rating Mania scale (ASRM) measured hypomanic/manic symptoms. Generalized linear mixed models assessed associations between depressive symptoms, manic symptoms, and their interaction (to test for synergistic effects of mixed symptoms) on the primary outcome of suicidal ideation or behavior (secondarily suicidal behavior only) from the Columbia-Suicide Severity Rating Scale (C-SSRS). Moderation was assessed.

PHQ-8 scores were strongly associated with suicide-related outcomes across diagnoses.