Adolescence is a critical period for brain development, consolidation of self-understanding, and onset of non-suicidal self-injury (NSSI). This study evaluated the RDoC (Research Domain Criteria) sub-construct of Self-Knowledge in relation to adolescent NSSI using multiple units of analysis.

One hundred and sixty-four adolescents assigned female at birth (AFAB), ages 12–16 years with and without a history of NSSI entered a study involving clinical assessment and magnetic resonance imaging (MRI), including structural, resting-state functional MRI (fMRI), and fMRI during a self-evaluation task. For imaging analyses, we used an a priori defined Self Network (anterior cingulate, orbitofrontal, and posterior cingulate cortices; precuneus). We first examined interrelationships among multi-level Self variables. We then evaluated the individual relationships between NSSI severity and multi-level Self variables (self-report, behavior, multi-modal brain Self Network measures), then conducted model testing and multiple regression to test how Self variables (together) predicted NSSI severity.

Cross-correlations revealed key links between self-reported global self-worth and self-evaluation task behavior. Individually, greater NSSI severity correlated with lower global self-worth, more frequent and faster negative self-evaluations, lower anterior Self Network activation during self-evaluation, and lower anterior and posterior Self Network resting-state connectivity. Multiple regression analysis revealed the model including multi-level Self variables explained NSSI better than a covariate-only model; the strongest predictive variables included self-worth, self-evaluation task behavior, and resting-state connectivity.

Disruptions in Self-Knowledge across multiple levels of analysis relate to NSSI in adolescents. Findings suggest potential neurobiological treatment targets, potentially enhancing neuroplasticity in Self systems to facilitate greater flexibility (more frequently positive) of self-views in AFAB adolescents.

Traumatic brain injuries (TBI) may lead to persistent depression symptoms. We conducted several pilot studies to examine the efficacy of mindfulness-based interventions to deal with this issue; all showed strong effect sizes. The logical next step was to conduct a randomized controlled trial (RCT).

We sought to determine the efficacy of mindfulness-based cognitive therapy for people with depression symptoms post-TBI (MBCT-TBI).

Using a multi-site RCT design, participants (mean age = 47) were randomized to intervention or control arms. Treatment participants received a group-based, 10-week intervention; control participants waited. Outcome measures, administered pre- and post-intervention, and after three months, included: Beck Depression Inventory-II (BDI-II), Patient Health Questionnaire-9 (PHQ-9), and Symptom Checklist-90-Revised (SCL-90-R). The Philadelphia Mindfulness Scale (PHLMS) captured present moment awareness and acceptance.

BDI-II scores decreased from 25.47 to 18.84 in treatment groups while they stayed relatively stable in control groups (respectively 27.13 to 25.00; p = .029). We did not find statistically significant differences on the PHQ-9 and SCL-90R post- treatment. However, after three months, all scores were statistically significantly lower than at baseline (ps < .01). Increases in mindfulness were associated with decreases in BDI-II scores (r[29] = -.401, p = .025).

MBCT-TBI may alleviate depression symptoms up to three months post-intervention. Greater mindfulness may have contributed to the reduction in depression symptoms although the association does not confirm causality. More work is required to replicate these findings, identify subgroups that may better respond to the intervention, and refine the intervention to maximize its effectiveness.

A major cause of death in Irish men aged 15–24 is suicide and the rates for those aged 15–19 are amongst the highest in Europe. Despite concerns over suicidal ideation or behaviour, little research has been done in the Irish primary care context. We therefore aimed to carry out a study of Irish General Practitioners (GPs)’ experience regarding suicidal ideation or behaviour in children and adolescents.

The study design was a descriptive, cross-sectional, questionnaire survey. We randomly selected 480 GPs and invited them to participate via post.

In total, 198 GPs replied, representing a response rate of 41% with a sampling error of ±6.8%. In total, 184 of respondents (93%) saw more than 50 children and adolescent patients annually, however, presentations of suicidal ideation and behaviour were relatively rare, with 36% reporting seeing none, 58% seeing between one and five and 6% seeing more than five such presentations annually. In total, 119 (62%) of GPs reported a willingness to prescribe antidepressants for this age group. In total, 66% of GPs felt this was either ‘always’ or ‘usually’ a difficult patient group to manage, and the single most commonly reported difficulty by GPs was access to services [n=48 (33%)].

GPs reported that their management of children and adolescents with suicidal ideation or behaviour is often difficult. GPs play a key liaison role in the area of child and adolescent mental health, but our results indicate that GPs are also involved in the treatment of this patient group. However, ongoing education was not a priority according to GPs themselves.

This study investigated differences in cognitive performance between middle-aged adults with and without a lifetime history of mood disorder features, adjusting for a range of potential confounders.

Cross-sectional analysis of baseline data from the UK Biobank cohort. Adults aged 40–69 (n = 143,828) were assessed using measures of reasoning, reaction time and memory. Self-reported data on lifetime features of major depression and bipolar disorder were used to construct groups for comparison against controls. Regression models examined the association between mood disorder classification and cognitive performance, adjusting for sociodemographic, lifestyle and clinical confounders.

Inverse associations between lifetime history of bipolar or severe recurrent depression features and cognitive performance were attenuated or reversed after adjusting for confounders, including psychotropic medication use and current depressive symptoms. Participants with a lifetime history of single episode or moderate recurrent depression features outperformed controls to a small (but statistically significant) degree, independent of adjustment for confounders. There was a significant interaction between use of psychotropic medication and lifetime mood disorder features, with reduced cognitive performance observed in participants taking psychotropic medication.

In this general population sample of adults in middle age, lifetime features of recurrent depression or bipolar disorder were only associated with cognitive impairment within unadjusted analyses. These findings underscore the importance of adjusting for potential confounders when investigating mood disorder-related cognitive function.

The ITRACK study explored the process and predictors of transition between Child and Adolescent Mental Health Services (CAMHS) and Adult Mental Health Services (AMHS) in the Republic of Ireland.

Following ethical approval, clinicians in each of Ireland’s four Health Service Executive (HSE) areas were contacted, informed about the study and were invited to participate. Clinicians identified all cases who had reached the transition boundary (i.e. upper age limit for that CAMHS team) between January and December 2010. Data were collected on clinical and socio-demographic details and factors that informed the decision to refer or not refer to the AMHS, and case notes were scrutinised to ascertain the extent of information exchanged between services during transition.

A total of 62 service users were identified as having crossed the transition boundary from nine CAMHS [HSE Dublin Mid-Leinster (n=40, 66%), HSE South (n=18, 30%), HSE West (n=2, 3%), HSE Dublin North (n=1, 2%)]. The most common diagnoses were attention deficit hyperactivity disorder (ADHD; n=19, 32%), mood disorders (n=16, 27%), psychosis (n=6, 10%) and eating disorders (n=5, 8%). Forty-seven (76%) of those identified were perceived by the CAMHS clinician to have an ‘on-going mental health service need’, and of these 15 (32%) were referred, 11 (23%) young people refused and 21 (45%) were not referred, with the majority (12, 57%) continuing with the CAMHS for more than a year beyond the transition boundary. Young people with psychosis were more likely to be referred [χ2 (2, 46)=8.96, p=0.02], and those with ADHD were less likely to be referred [χ2 (2, 45)=8.89, p=0.01]. Being prescribed medication was not associated with referral [χ2 (2, 45)=4.515, p=0.11]. In referred cases (n=15), there was documented evidence of consent in two cases (13.3%), inferred in another four (26.7%) and documented preparation for transition in eight (53.3%). Excellent written communication (100%) was not supported by face-to-face planning meetings (n=2, 13.3%), joint appointments (n=1, 6.7%) or telephone conversations (n=1, 6.7%) between corresponding clinicians.

Despite perceived on-going mental health (MH) service need, many young people are not being referred or are refusing referral to the AMHS, with those with ADHD being the most affected. CAMHS continue to offer on-going care past the transition boundary, which has resource implications. Further qualitative research is warranted to understand, in spite of perceived MH service need, the reason for non-referral by the CAMHS clinicians and refusal by the young person.

Social context has a major influence on the detection and treatment of youth mental and substance use disorders in socioeconomically disadvantaged urban areas, particularly where gang culture, community violence, normalisation of drug use and repetitive maladaptive family structures prevail. This paper aims to examine how social context influences the development, identification and treatment of youth mental and substance use disorders in socioeconomically disadvantaged urban areas from the perspectives of health care workers.

Semi-structured interviews were conducted with health care workers (n=37) from clinical settings including: primary care, secondary care and community agencies and analysed thematically using Bronfenbrenner’s Ecological Theory to guide analysis.

Health care workers’ engagement with young people was influenced by the multilevel ecological systems within the individual’s social context which included: the young person’s immediate environment/‘microsystem’ (e.g., family relationships), personal relationships in the ‘mesosystem’ (e.g., peer and school relationships), external factors in the young person’s local area context/‘exosystem’ (e.g., drug culture and criminality) and wider societal aspects in the ‘macrosystem’ (e.g., mental health policy, health care inequalities and stigma).

In socioeconomically disadvantaged urban areas, social context, specifically the micro-, meso-, exo-, and macro-system impact both on the young person’s experience of mental health or substance use problems and services, which endeavour to address these problems. Interventions that effectively identify and treat these problems should reflect the additional challenges posed by such settings.

Because a majority of urinary tract stones (UTSs) pass spontaneously and clinically significant alternative pathology is rare, we hypothesize that many computed tomographic (CT) scans to diagnose them are likely unnecessary. We sought to measure the impact of renal CT scans on resource use and to justify a prospective study to derive a score that predicts an emergent diagnosis in patients with suspected UTS by doing so in our retrospective series.

We conducted a retrospective study of ED patients who had noncontrast CT of the abdomen for suspected UTS. A split-sample was used to derive and validate a score to predict the presence of an emergent diagnosis on CT.

Of the 2,315 patients (50.8% female, mean age 45 years), 49 (2.1%) had an emergent outcome observed on CT. An additional 12 (0.5%) patients had an urgent outcome and 239 (10.6%) had a urologic procedure within 8 weeks of the CT. Serum white blood cell count, highest temperature, urine red blood cell count, and the presence of abdominal pain were significant predictors of the primary outcome. A score derived using these predictors had a potential range of 22 (0.26% predicted risk, 0.5% actual risk of the outcome) to 6 (52% predicted risk). The score was moderately discriminatory with c-statistics of 0.752 (derivation) and 0.668 (validation) and accurate with Hosmer-Lemeshow statistics of 10.553 (p = 0.228, derivation) and 9.70 (p = 0.286, validation).

A sensible, relevant score derived and validated on all patients presenting with symptoms suggestive of renal colic could be useful in reducing abdominal CT scan ordering.

Experts have proposed removing obsessive–compulsive disorder (OCD) from the anxiety disorders section and grouping it with putatively related conditions in DSM-5. The current study uses co-morbidity and familiality data to inform these issues.

Case family data from the OCD Collaborative Genetics Study (382 OCD-affected probands and 974 of their first-degree relatives) were compared with control family data from the Johns Hopkins OCD Family Study (73 non-OCD-affected probands and 233 of their first-degree relatives).

Anxiety disorders (especially agoraphobia and generalized anxiety disorder), cluster C personality disorders (especially obsessive–compulsive and avoidant), tic disorders, somatoform disorders (hypochondriasis and body dysmorphic disorder), grooming disorders (especially trichotillomania and pathological skin picking) and mood disorders (especially unipolar depressive disorders) were more common in case than control probands; however, the prevalences of eating disorders (anorexia and bulimia nervosa), other impulse-control disorders (pathological gambling, pyromania, kleptomania) and substance dependence (alcohol or drug) did not differ between the groups. The same general pattern was evident in relatives of case versus control probands. Results in relatives did not differ markedly when adjusted for demographic variables and proband diagnosis of the same disorder, though the strength of associations was lower when adjusted for OCD in relatives. Nevertheless, several anxiety, depressive and putative OCD-related conditions remained significantly more common in case than control relatives when adjusting for all of these variables simultaneously.

On the basis of co-morbidity and familiality, OCD appears related both to anxiety disorders and to some conditions currently classified in other sections of DSM-IV.

To compare the school lunch consumption of Texas middle-school students with the 2009 Institute of Medicine's (IOM) school meal report recommendations. These new lunch menu patterns increase fruit to one serving and vegetables to two servings, with 50 % wholegrain food.

Lunch food records were collected from middle-school students from four schools in south-east Texas in the spring of 2008, and entered into the Nutrition Data System for Research software. Average intake was calculated for those consuming meals according to the National School Lunch Program (NSLP; n 5414) and for those consuming lunch from other sources (n 239). The percentage of students selecting each food group was calculated.

Middle schools in south-east Texas.

Middle-school students in south-east Texas.

Students consuming NSLP meals reported consuming almost serving of fruit, serving of vegetables, 8 oz of milk and serving of whole grains at lunch. Non-NSLP consumers reported almost no intake of fruit, vegetables or milk, and consumed serving of whole grains at lunch. Among NSLP consumers, about 40 % selected and consumed a fruit serving. About two-thirds of students selected a vegetable, consuming about 67 %. Less than 4 % selected a dark green or orange vegetable.

Students’ lunch intake did not meet the new IOM recommendations. Few students selected dark green or orange vegetables, and only 40 % selected fruit. Whole grains consumption was low. Interventions with all stakeholders will be necessary to improve students’ food and beverage selections overall when school meal patterns are revised.

The geometry of the adult human mastoid air cell system has not previously been described over a large range of mastoid air cell volumes.

Twenty subjects with a wide range of mastoid air cell pneumatised areas, as determined by X-ray, underwent computed tomography scanning of the middle ear. Mastoid air cell surface areas and volumes were then reconstructed from serial imaging sections, using Image J software.

Mastoid air cell volumes varied from 0.7 to 21.4 ml, and were linearly related to the pneumatised area. Right and left mastoid air cell volumes and surface areas were highly correlated. The mastoid air cell surface area was a linear function of volume.

The relationship between mastoid air cell surface area and volume is similar over a wide range of volumes. Given that the rate of gas exchange across the mastoid air cell mucosa is related to the mastoid air cell surface area, that rate will thus also be a direct linear function of the mastoid air cell volume.

To test the effect of image size and presence of size cues on the accuracy of portion size estimation by children.

Children were randomly assigned to seeing images with or without food size cues (utensils and checked tablecloth) and were presented with sixteen food models (foods commonly eaten by children) in varying portion sizes, one at a time. They estimated each food model’s portion size by selecting a digital food image. The same food images were presented in two ways: (i) as small, graduated portion size images all on one screen or (ii) by scrolling across large, graduated portion size images, one per sequential screen.

Laboratory-based with computer and food models.

Volunteer multi-ethnic sample of 120 children, equally distributed by gender and ages (8 to 13 years) in 2008–2009.

Average percentage of correctly classified foods was 60·3 %. There were no differences in accuracy by any design factor or demographic characteristic. Multiple small pictures on the screen at once took half the time to estimate portion size compared with scrolling through large pictures. Larger pictures had more overestimation of size.

Multiple images of successively larger portion sizes of a food on one computer screen facilitated quicker portion size responses with no decrease in accuracy. This is the method of choice for portion size estimation on a computer.