Bipolar disorder is a multifactorial disorder influenced by multiple genetic and environmental factors.There is limited understanding of how non-genetic factors may impact the age of onset of bipolar disorder

To study the age of onset of bipolar disease in Tunisia (where the average duration of sunshine is 8 hours/day) and compare it to the age of onset in countries with a lower duration of sunshine (Germany 0.17h/day; Norway 1.40h/day).

We conducted a retrospective study of 100 patients with bipolar disorder type I followed at the psychiatric department Aziza Othmana at Razi hospital.The data collection was done using a pre-established paper form exploring sociodemographic and clinical data.The duration of sunshine was estimated according to the average number of hours of sunshine per day in each country collected through meteorological sites.

Our population was predominantly male (60%) with a mean age of 48.7 years.The first episode was manic in 76% of cases. The mean age of onset in our sample was 25.86 years, with extremes ranging from 13 to 49 years.An early onset (threshold age=21 years) was found in 36% of the Tunisian population. The age of onset was earlier in patients with a family history of bipolar disorder: 22.76 years vs 28.23 years. A late onset (threshold age=37 years) was found in 13% of the Tunisian population.

The study confirmed that there is an inverse relationship between the degree of sunlight and the age of onset of the disease, especially in the presence of a family history of mood disorders

No significant relationships.

Previous research has suggested that there is substantial heterogeneity in the developmental trajectories of attention-deficit/hyperactivity disorder (ADHD) symptoms. Sometimes, qualitative distinctions between trajectories with different ages of onset and/or patterns of remission are made; however, little is known about the predictors and broader clinical meaningfulness of these candidate ‘developmental subtypes’ of ADHD symptoms.

We applied latent class growth analysis to data from the UK Millennium Cohort Study (MCS; N = 11 316; ages 3, 5, 7, 11 and 14) to evaluate whether developmental trajectories of ADHD symptoms differing in early life predictors could be identified. Our optimal model included six trajectory groups, labelled unaffected (34.9% of the sample), mildly affected (24.1%), subclinical remitting (12.8%), pre-school onset partially remitting (14.1%), developmentally increasing (7.6%) and pre-school onset persistent (6.4%).

Factors such as gender, conduct problems, cognitive ability, maternal education, premature birth, peer problems and school readiness scores differentiated between specific ADHD symptom trajectories.

Taken together, our findings provide preliminary evidence that distinguishing different trajectories of ADHD symptoms could be clinically informative.

Smoking tobacco is regarded as an epiphenomenon in patients with schizophrenia when it may be causal. We aimed to examine whether smoking status is related to the onset of schizophrenia or the broader diagnosis of non-affective psychosis, including schizophrenia.

We used data from The Health Improvement Network primary care database to identify people aged 15–24 between 1 January 2004 and 31 December 2009. We followed them until the earliest of: first diagnosis of schizophrenia (or psychosis), patient left the practice, practice left THIN, patient died or 31 December 2014.

In men, incidence rates for schizophrenia per 100 000 person years at risk were higher in smoking initiators (non-smoker who became a smoker during the study) than in non-smokers (adjusted IRR 1.94; 95% CI 1.29–2.91) and higher still in smokers (adjusted IRR 3.32; 95% CI 2.67–4.14). Among women, the incidence rate of schizophrenia was higher in smokers than in non-smokers (adjusted IRR 1.50; 95% CI 1.06–2.12), but no higher in smoking initiators than non-smokers. For non-affective psychosis, the pattern was similar for men but more evident in women where psychosis incidence rates were higher in smoking initiators (adjusted IRR 1.90; 95% CI 1.40–2.56) and in smokers (adjusted IRR 2.13; 95% CI 1.76–2.57) than in non-smokers.

We found an important and strong association between smoking and incidence of schizophrenia. Smoking may increase risk through as yet unknown pathways or smoking may share genetic risk with schizophrenia and non-affective psychoses.

Young Onset Dementia (YOD), defined by first symptoms of cognitive or behavioral decline occurring before the age of 65 years, is relatively rare compared to dementia of later onset, but it is associated with diagnostic difficulty and heavy burden on affected individuals and their informal carers. Existing health and social care structures rarely meet the needs of YOD patients. Internet-based interventions are a novel format of delivering health-related education, counseling, and support to this vulnerable yet underserved group.

The RHAPSODY (Research to Assess Policies and Strategies for Dementia in the Young) project is a European initiative to improve care for people with YOD by providing an internet-based information and skill-building program for family carers. The e-learning program focuses on managing problem behaviors, dealing with role change, obtaining support, and looking after oneself. It will be evaluated in a pilot study in three countries using a randomized unblinded design with a wait-list control group. Participants will be informal carers of people with dementia in Alzheimer's disease or behavioral-variant Frontotemporal degeneration with an onset before the age of 65 years. The primary outcome will be caregiving self-efficacy after 6 weeks of program use. As secondary outcomes, caregivers’ stress and burden, carer health-related quality of life, caring-related knowledge, patient problem behaviors, and user satisfaction will be assessed. Program utilization will be monitored and a health-economic evaluation will also be performed.

The RHAPSODY project will add to the evidence on the potential and limitations of a conveniently accessible, user-friendly, and comprehensive internet-based intervention as an alternative for traditional forms of counseling and support in healthcare, aiming to optimize care and support for people with YOD and their informal caregivers.

Symptoms of anxiety relating to Parkinson's disease (PD) occur commonly and include symptomatology associated with motor disability and complications arising from PD medication. However, there have been relatively few attempts to profile such disease-specific anxiety symptoms in PD. Consequently, anxiety in PD is underdiagnosed and undertreated. The present study characterizes PD-related anxiety symptoms to assist with the more accurate assessment and treatment of anxiety in PD.

Ninety non-demented PD patients underwent a semi-structured diagnostic assessment targeting anxiety symptoms using relevant sections of the Mini International Neuropsychiatric Interview (MINI-plus). In addition, they were assessed for the presence of 30 PD-related anxiety symptoms derived from the literature, the clinical experience of an expert panel and the PD Anxiety-Motor Complications Questionnaire (PDAMCQ). The onset of anxiety in relation to the diagnosis of PD was determined.

Frequent (>25%) PD-specific anxiety symptoms included distress, worry, fear, agitation, embarrassment, and social withdrawal due to motor symptoms and PD medication complications, and were experienced more commonly in patients meeting DSM-IV criteria for an anxiety disorder. The onset of common anxiety disorders was observed equally before and after a diagnosis of PD. Patients in a residual group of Anxiety Not Otherwise Specified had an onset of anxiety after a diagnosis of PD.

Careful characterization of PD-specific anxiety symptomatology provides a basis for conceptualizing anxiety and assists with the development of a new PD-specific measure to accurately assess anxiety in PD.

Despite its importance as a public health concern, relatively little is known about the natural course of cannabis use disorders (CUDs). The primary objective of this research was to provide descriptive data on the onset, recovery and recurrence functions of CUDs during the high-risk periods of adolescence, emerging adulthood and young adulthood based on data from a large prospective community sample.

Probands (n = 816) from the Oregon Adolescent Depression Project (OADP) participated in four diagnostic assessments (T1–T4) between the ages of 16 and 30 years, during which current and past CUDs were assessed.

The weighted lifetime prevalence of CUDs was 19.1% with an average onset age of 18.6 years. Although gender was not significantly related to the age of initial CUD onset, men were more likely to be diagnosed with a lifetime CUD. Of those diagnosed with a CUD episode, 81.8% eventually achieved recovery during the study period. Women achieved recovery significantly more quickly than men. The recurrence rate (27.7%) was relatively modest, and most likely to occur within the first 36 months following the offset of the first CUD episode. CUD recurrence was uncommon after 72 months of remission and recovery.

CUDs are relatively common, affecting about one out of five persons in the OADP sample prior to the age of 30 years. Eventual recovery from index CUD episodes is the norm, although about 30% of those with a CUD exhibit a generally persistent pattern of problematic use extending 7 years or longer.

There is strong evidence that those with a long-standing psychotic disorder have fewer social contacts and less social support than comparison groups. There is less research on the extent of social contacts and support prior to or at the onset of psychosis. In the light of recent evidence implicating a range of social experiences and contexts at the onset of psychosis, it is relevant to establish whether social networks and support diminished before or at the time of onset and whether the absence of such supports might contribute to risk, either directly or indirectly. We, therefore, conducted a systematic review of this literature to establish what is currently known about the relationship between social networks, support and early psychosis.

We identified all studies investigating social networks and support in first episode psychosis samples and in general population samples with measures of psychotic experiences or schizotype by conducting systematic searches of electronic databases using pre-defined search terms and criteria. Findings were synthesized using non-quantitative approaches.

Thirty-eight papers were identified that met inclusion criteria. There was marked methodological heterogeneity, which limits the capacity to draw direct comparisons. Nonetheless, the existing literature suggests social networks (particularly close friends) and support diminished both among first episode samples and among non-clinical samples reporting psychotic experiences or with schizotype traits, compared with varying comparison groups. These differences may be more marked for men and for those from minority ethnic populations.

Tentatively, reduced social networks and support appear to pre-date onset of psychotic disorder. However, the substantial methodological heterogeneity among the existing studies makes comparisons difficult and suggests a need for more robust and comparable studies on networks, support and early psychosis.

Previous research reported that childhood adversity predicts juvenile- onset but not adult-onset depression, but studies confounded potentially genuine differences in adversity with differences in the recency with which adversity was experienced. The current study paper took into account the recency of risk when testing for differences among child-, adolescent- and young adult-onset depressions.

Up to nine waves of data were used per subject from two cohorts of the Great Smoky Mountains Study (GSMS; n=1004), covering children in the community aged 9–16, 19 and 21 years. Youth and one of their parents were interviewed using the Child and Adolescent Psychiatric Assessment (CAPA) between ages 9 and 16; these same youth were interviewed using the Young Adult Psychiatric Assessment (YAPA) at ages 19 and 21. The most common psychosocial risk factors for depression were assessed: poverty, life events, parental psychopathology, maltreatment, and family dysfunction.

Consistent with previous research, most childhood psychosocial risk factors were more strongly associated with child-onset than with adolescent-/adult-onset depression. When potentially genuine risk differences among the depression-onset groups were disentangled from differences due to the recency of risk, child- and young adult-onset depression were no longer different from one another. Adolescent-onset depression was associated with few psychosocial risk factors.

There were no differences in putative risk factors between child- and young adult-onset depression when the recency of risk was taken into account. Adolescent-onset depression was associated with few psychosocial risk factors. It is possible that some adolescent-onset depression cases differ in terms of risk from child- and young adult-onset depression.

Pre-adult onset of major depressive disorder (MDD) may predict a more severe phenotype of depression. As data from naturalistic psychiatric specialty care settings are scarce, we examined phenotypic differences between pre-adult and adult onset MDD in a large sample of consecutive out-patients.

Altogether, 1552 out-patients, mean age 39.2±11.6 years, were diagnosed with current MDD on the Mini-International Neuropsychiatric Interview Plus diagnostic interview as part of the usual diagnostic procedure. A total of 1105 patients (71.2%) had complete data on all variables of interest. Pre-adult onset of MDD was defined as having experienced the signs and symptoms of a first major depressive episode before the age of 18 years. Patients were stratified according to the age at interview (20–40/40–65 years). Correlates of pre-adult onset were analysed using logistic regression models adjusted for age, age squared and gender.

Univariate analyses showed that pre-adult onset of MDD had a distinct set of demographic (e.g. less frequently living alone) and clinical correlates (more co-morbid DSM-IV – Text Revision diagnoses, more social phobia, more suicidality). In the multivariate model, we found an independent association only for a history of suicide attempts [odds ratio (OR) 3.15, 95% confidence intervals (CI) 1.97–5.05] and current suicidal thoughts (OR 1.81, 95% CI 1.26–2.60) in patients with pre-adult versus adult onset MDD.

Pre-adult onset of MDD is associated with more suicidality than adult onset MDD. Age of onset of depression is an easy to ascertain characteristic that may help clinicians in weighing suicide risk.

Depression and anxiety are common after diagnosis of breast cancer. We examined to what extent these are recurrences of previous disorder and, controlling for this, whether shame, self-blame and low social support after diagnosis predicted onset of depression and anxiety subsequently.

Women with primary breast cancer who had been treated surgically self-reported shame, self-blame, social support and emotional distress post-operatively. Psychiatric interview 12 months later identified those with adult lifetime episodes of major depression (MD) or generalized anxiety disorder (GAD) before diagnosis and onset over the subsequent year. Statistical analysis examined predictors of each disorder in that year.

Of the patients, two-thirds with episodes of MD and 40% with episodes of GAD during the year after diagnosis were experiencing recurrence of previous disorder. Although low social support, self-blame and shame were each associated with both MD and GAD after diagnosis, they did not mediate the relationship of disorder after diagnosis with previous disorder. Low social support, but not shame or self-blame, predicted recurrence after controlling for previous disorder.

Anxiety and depression during the first year after diagnosis of breast cancer are often the recurrence of previous disorder. In predicting disorder following diagnosis, self-blame and shame are merely markers of previous disorder. Low social support is an independent predictor and therefore may have a causal role.

Identifying prodromal features that predate the onset of bipolar disorder (BD) may enable the prevention of BD and aid early intervention. This review addresses two key questions: Is there a bipolar prodrome? And, if there is, what are its characteristic features?

A comprehensive search of databases (PubMed, Medline, EMBASE and PsycINFO) supplemented by hand searches was used to identify studies of symptoms preceding the onset of BD.

Fifty-nine studies were identified, of which 14 met inclusion criteria. Symptoms can predate the onset of BD by months to years and can be categorized as attenuated forms of BD symptoms, general symptoms common to a range of mental disorders, and personality traits, particularly cyclothymia. Two studies provided sufficient data to enable sensitivity and specificity to be calculated. Specificity of several of the features was high (>90%) but sensitivity was generally low (all <60%). We propose a model based on the findings in the studies reviewed to illustrate the potential trajectory to BD and the points at which it may be possible to intervene.

Clinical features preceding the onset of BD can be identified. However, conclusions about whether there is a distinct prodrome to BD are restricted by the limitations of current evidence. The high specificity of some features suggests they may be useful in clinical practice. Large-scale longitudinal studies are needed to validate these features and characterize their specificity and sensitivity in independent samples.