There is no consensus on the effects that low birth weight, premature birth and intrauterine growth have on later depression.

To review systematically the evidence on the relationship of low birth weight, smallness for gestational age (SGA) and premature birth with adult depression.

We searched the literature for original studies assessing the effect of low birth weight, premature birth and SGA on adult depression. Separate meta-analyses were carried out for each exposure using random and fixed effects models. We evaluated the contribution of methodological covariates to heterogeneity using meta-regression.

We identified 14 studies evaluating low birth weight, 9 premature birth and 4 SGA. Low birth weight increased the odds of depression (OR = 1.39, 95% CI 1.21–1.60). Premature birth and SGA were not associated with depression, but publication bias might have underestimated the effect of the former and only four studies evaluated SGA.

Low birth weight was associated with depression. Future studies evaluating premature birth and SGA are needed.

That risk factors measured in middle age may not fully explain future dementia risk implicates exposures acting earlier in life. Height may capture early-life illness, adversity, nutrition and psychosocial stress.

To investigate the little-explored association between height and dementia death.

Individual participant meta-analysis using 18 prospective general population cohort studies with identical methodologies (1994–2008;n = 181 800).

Mean follow-up of 9.8 years gave rise to 426 and 667 dementia deaths in men and women respectively. The mean heights were 174.4cm (s.d. = 7.3) for men and 161.0cm (s.d. = 6.8) for women. In analyses taking into account multiple covariates, increasing height was related to lower rates of death from dementia in a dose–response pattern (P⩽0.01 for trend). There was evidence of a differential effect by gender (P = 0.016 for interaction). Thus, the association observed in men (hazard ratio per s.d. decrease in height 1.24, 95% CI 1.11–1.39) was markedly stronger than that apparent in women (HR = 1.13, 95% CI 1.03–1.24).

Early-life circumstances, indexed by adult height, may influence later dementia risk.

It is unclear whether associations between fetal growth and psychiatric and socioeconomic problems are consistent with causal mechanisms.

To estimate the extent to which associations are a result of unmeasured confounding factors using a sibling-comparison approach.

We predicted outcomes from continuously measured birth weight in a Swedish population cohort (n = 3 291 773), while controlling for measured and unmeasured confounding.

In the population, lower birth weight (⩽2500 g) increased the risk of all outcomes. Sibling-comparison models indicated that lower birth weight independently predicted increased risk for autism spectrum disorder (hazard ratio for low birth weight = 2.44, 95% CI 1.99–2.97) and attention-deficit hyperactivity disorder. Although attenuated, associations remained for psychotic or bipolar disorder and educational problems. Associations with suicide attempt, substance use problems and social welfare receipt, however, were fully attenuated in sibling comparisons.

Results suggest that fetal growth, and factors that influence it, contribute to psychiatric and socioeconomic problems.

Between 30 and 60% of adults with unipolar or bipolar disorders exhibit impairments across multiple domains. However, little is known about impaired functioning in youth with mood disorders.

To examine the prevalence of objective, subjective and observer-rated disability in a large, representative sample of young people with a primary mood disorder.

Individuals aged 16–25 years presenting to youth mental health services for the first time with a primary mood disorder participated in a systematic diagnostic and clinical assessment. Impairment was assessed using objective (unemployment or disability payments), observer- (Social and Occupational Functioning Assessment Scale; SOFAS) and self-rated measures (role functioning according to the Brief Disability Questionnaire).

Of 1241 participants (83% unipolar; 56% female), at least 30% were functionally impaired on the objective, self-rated and/or observer-rated measures, with 16% impaired according to all three criteria. Even when current distress levels were taken into account, daily use of cannabis and/or nicotine were significantly associated with impairment, with odds ratios (OR) ranging from about 1.5 to 3.0. Comorbid anxiety disorders were related to lower SOFAS scores (OR = 2–5).

Levels of disability were significant, even in those presenting for mental healthcare for the first time. Functional impairment did not differ between unipolar and bipolar cases, but some evidence suggested that females with bipolar disorder were particularly disabled. The prevalence of comorbid disorders (50%) and polysubstance use (28%) and their association with disability indicate that more meaningful indicators of mood episode outcomes should focus on functional rather than symptom-specific measures. The association between functioning and nicotine use requires further exploration.

Hippocampal abnormalities have been demonstrated in schizophrenia. It is unclear whether these abnormalities worsen with age, and whether they affect cognition and function.

To determine whether hippocampal abnormalities in chronic schizophrenia are associated with age, cognition and socio-occupational function.

Using 3 T magnetic resonance imaging we scanned 100 persons aged 19–82 years: 51 were out-patients with stable schizophrenia at least 2 years after diagnosis and 49 were healthy volunteers matched for age and gender. Automated analysis was used to determine hippocampal volume and shape.

There were differential effects of age in the schizophrenia and control samples on total hippocampal volume (group×age interaction:F (1,95) = 6.57, P = 0.012), with steeper age-related reduction in the schizophrenia group. Three-dimensional shape analysis located the age-related deformations predominantly in the mid-body of the hippocampus. In the schizophrenia group similar patterns of morphometric abnormalities were correlated with impaired cognition and poorer socio-occupational function.

Hippocampal abnormalities are associated with age in people with chronic schizophrenia, with a steeper decline than in healthy individuals. These abnormalities are associated with cognitive and functional deficits, suggesting that hippocampal morphometry may be a biomarker for cognitive decline in older patients with schizophrenia.

Although neurobiological models of obsessive–compulsive disorder (OCD) traditionally emphasise the central role of corticostriatal brain regions, studies of default mode network integrity have garnered increasing interest, but have produced conflicting results.

To resolve these discrepant findings by examining the integrity of default mode network subsystems in OCD.

Comparison of seed-based resting-state functional connectivity of 11 default mode network components between 46 patients with OCD and 46 controls using functional magnetic resonance imaging.

Significantly reduced connectivity within the dorsal medial prefrontal cortex self subsystem was identified in the OCD group, and remained significant after controlling for medication status and life-time history of affective disorders. Further, greater connectivity between the self subsystem and salience and attention networks was observed.

Results indicate that people with OCD show abnormalities in a neural system previously associated with self-referential processing in healthy individuals, and suggest the need for examination of dynamic interactions between this default mode network subsystem and other large-scale networks in this disorder.

Most studies of post-traumatic stress disorder (PTSD) in low- and middle-income countries (LMICs) have focused on ‘high-risk’ populations defined by exposure to trauma.

To estimate the prevalence of post-traumatic stress disorder (PTSD) in a LMIC, the conditional probability of PTSD given a traumatic event and the strength of associations between traumatic events and other psychiatric disorders.

Our sample contained a mix of 3995 twins and 2019 non-twins. We asked participants about nine different traumatic exposures, including the category ‘other’, but excluding sexual trauma.

Traumatic events were reported by 36.3% of participants and lifetime PTSD was present in 2.0%. Prevalence of non-PTSD lifetime diagnosis was 19.1%. Of people who had experienced three or more traumatic events, 13.3% had lifetime PTSD and 40.4% had a non-PTSD psychiatric diagnosis.

Despite high rates of exposure to trauma, this population had lower rates of PTSD than high-income populations, although the prevalence might have been slightly affected by the exclusion of sexual trauma. There are high rates of non-PTSD diagnoses associated with trauma exposure that could be considered in interventions for trauma-exposed populations. Our findings suggest that there is no unique relationship between traumatic experiences and the specific symptomatology of PTSD.

© Royal College of Psychiatrists 2014. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY) licence.

Many mental health surveys and clinical studies do not include a multi-attribute utility instrument (MAUI) that produces quality-adjusted life-years (QALYs). There is also some question about the sensitivity of the existing utility instruments to mental health.

To compare the sensitivity of five commonly used MAUIs (Assessment of Quality of Life – Eight Dimension Scale (AQoL-8D), EuroQoL–five dimension (EQ-5D-5L), Short Form 6D (SF-6D), Health Utilities Index Mark 3 (HUI3), 15D) with that of disease-specific depression outcome measures (Depression Anxiety Stress Scales (DASS-21) and the Kessler Psychological Distress Scale (K10)) and develop ‘crosswalk’ transformation algorithms between the measures.

Individual data from 917 people with self-report depression collected as part of the International Multi-Instrument Comparison Survey.

All the MAUIs discriminated between the levels of severity measured by the K10 and the DASS-21. The AQoL-8D had the highest correlation with the disease-specific measures and the best goodness-of-fit transformation properties.

The algorithms developed in this study can be used to determine cost-effectiveness of services or interventions where utility measures are not collected.

Suicide prediction during psychiatric in-patient treatment remains an unresolved challenge.

To identify determinants of railway suicides in individuals receiving in-patient psychiatric treatment.

The study population was drawn from patients admitted to six psychiatric hospitals in Germany during a 10-year period (1997–2006). Data from 101 railway suicide cases were compared with a control group of 101 discharged patients matched for age, gender and diagnosis.

Predictors of suicide were change of therapist (OR = 22.86,P = 0.004), suicidal ideation (OR = 7.92,P<0.001), negative or unchanged therapeutic course (OR = 7.73, P<0.001), need of polypharmaceutical treatment (OR = 2.81, P = 0.04) and unemployment (OR = 2.72, P = 0.04). Neither restlessness nor impulsivity predicted in-patient suicide.

Suicidal ideation, unfavourable clinical course and the use of multiple psychotropic substances (reflecting the severity of illness) were strong determinants of railway suicides. The most salient finding was the vital impact of a change of therapist. These findings deserve integration into the clinical management of patients with serious mental disease.