Early origins of mental disorder - risk factors in the perinatal and infant period

BACKGROUND: There is increasing understanding of the significance of early neurodevelopment in establishing risk for the range of mental disorders. Models of the early aetiology of mental disorders are complex with a range of potential factors from genetic and epigenetic to environmental influencing neurological and psychological development. Whilst the mechanisms are not fully understood, this paper provides an overview of potential biological and neurobiological factors that might be involved. METHOD: An aetiological model is presented and discussed. The discussion includes a range of risk factors for mental disorder. Maternal anxiety disorder is presented and reviewed as an example of the interaction of placental, epigenetic and early parenting factors elevating risk of poor neonatal outcome. RESULTS: Available evidence points to the importance of in-utero influences as well as the role of early attachment and emotional care. Transgenerational mechanisms such as the impact of maternal mental disorder on foetal development are important models for examination of early risk. Maternal anxiety, as an example, is a significant risk factor for compromised mental health. CONCLUSIONS: Development of models for understanding the early origins of mental disorder is an important step in elaborating risk reduction strategies. Comprehensive early identification of risk raises the possibility of preventive interventions.

Persistent and contemporaneous effects of job stressors on mental health: a study testing multiple analytic approaches across 13 waves of annually collected cohort data

OBJECTIVES: This study investigated the extent that psychosocial job stressors had lasting effects on a scaled measure of mental health. We applied econometric approaches to a longitudinal cohort to: (1) control for unmeasured individual effects; (2) assess the role of prior (lagged) exposures of job stressors on mental health and (3) the persistence of mental health.

METHODS: We used a panel study with 13 annual waves and applied fixed-effects, first-difference and fixed-effects Arellano-Bond models. The Short Form 36 (SF-36) Mental Health Component Summary score was the outcome variable and the key exposures included: job control, job demands, job insecurity and fairness of pay.

RESULTS: Results from the Arellano-Bond models suggest that greater fairness of pay (β-coefficient 0.34, 95% CI 0.23 to 0.45), job control (β-coefficient 0.15, 95% CI 0.10 to 0.20) and job security (β-coefficient 0.37, 95% CI 0.32 to 0.42) were contemporaneously associated with better mental health. Similar results were found for the fixed-effects and first-difference models. The Arellano-Bond model also showed persistent effects of individual mental health, whereby individuals' previous reports of mental health were related to their reporting in subsequent waves. The estimated long-run impact of job demands on mental health increased after accounting for time-related dynamics, while there were more minimal impacts for the other job stressor variables.

CONCLUSIONS: Our results showed that the majority of the effects of psychosocial job stressors on a scaled measure of mental health are contemporaneous except for job demands where accounting for the lagged dynamics was important.

Discovering latent affective dynamics among individuals in online mental health-related communities

Discovering dynamics of emotion and mood changes for individuals has the potential to enhance the diagnosis and treatment of mental disorders. In this paper we study affective transitions and dynamics among individuals in online mental health communities. Using social media as form of 'sensor', we crawl a large dataset of blogs posted by online communities whose descriptions declared to be associated with affective disorder conditions such as depression, anxiety, or autism. We then apply nonnegative matrix factorization model to extract the common and individual factors of affective transitions across groups of individuals in different levels of affective disorders. We examine the latent patterns of emotional transitions and investigate the effects of emotional transitions across the cohorts. Our framework is novel as it utilizes social media as an online sensing platform of mood and emotional dynamics. Hence, our work has implication in constructing systems to screen individuals and communities at high risks of mental health problems in online settings.

Deep brain stimulation mediates neurotrophin signaling in an animal model of antidepressant resistance

Chronic adrenocorticotropic hormone administration at circadian nadir produces an antidepressant resistance animal model that does not present with an altered plasma corticosterone profile nor changes in hippocampal brain derived neurotrophic factor and its receptor. Acute and chronic infralimbic deep brain stimulation elicited an antidepressant response in this animal model, which appears to be associated with changes in gene and protein expression of key intracellular mediators of neurotrophic factor signaling. Together, these findings stand to make important positive impacts on treatment strategies for one of the most debilitating and prevalent disorders of the modern era and suggest that antidepressant treatment response may involve mechanisms distinct from chronic stress-mediated induction of depression-like behavioral phenotypes.

An integrated model of care for inflammatory bowel disease sufferers in Australia: development and the effects of its implementation.

BACKGROUND: Psychological comorbidities are associated with poor outcome and increased healthcare utilization in patients with inflammatory bowel disease (IBD). However, a model of care addressing the biopsychosocial dimension of disease is not routinely applied in IBD. This review describes the development of such a model and the effects of its implementation in a hospital-based cohort of patients with IBD. METHODS: Three different approaches were used: 1) collecting baseline epidemiological data on mental health comorbidities; 2) raising awareness of and targeting mental health problems; 3) examining the effects of the model implementation. RESULTS: High rates of anxiety and depressive symptoms (36% and 13%, respectively) that are maintained over time were identified in IBD patients presenting at a metropolitan teaching hospital. Patients with documented psychological comorbidities were more likely to be hospitalized than those without (odds ratio [OR] = 4.13, 95% confidence interval [CI]: 1.25, 13.61). Improvements in disease activity, anxiety, depression, quality of life, and coping have been noted when cognitive-behavioral therapy (CBT) was provided to patients. A drop in the use of opiates (P = 0.037) and hospitalization rates (from 48% to 30%) in IBD patients has been noted as a result of introduction of the changed model of care. In addition, the mean total cost of inpatient care was lower for IBD patients than controls (US$12,857.48 [US$15,236.79] vs. US$ 30,467.78 [US$ 53,760.20], P = 0.005). CONCLUSION: Our data to date suggest that an integrated model of care for patients with IBD may yield superior long-term outcomes in terms of medication use and hospitalization rates and reduce healthcare costs.