Schizophrenia, which is linked to a range of physical health conditions, might share intrinsic inflammatory disease pathways with type-two diabetes mellitus (T2DM). Psychotropic medication has presented a major confounder in examining this association. First-episode psychosis (FEP) patients present an interesting cohort to study this potential association, being generally younger with less comorbidity, and with limited exposure to antipsychotic medication.

To assess whether FEP, which could be described as ‘developing schizophrenia’, is associated with prediabetes, or ‘developing diabetes’, to determine whether intrinsic disease links could cause the conditions to develop in unison.

Using PRISMA criteria, we searched Embase, Medline, PsychInfo, Web of Science, and Google Scholar to 6th January 2016. We assessed case-control studies with biochemical assessment of prediabetic states in FEP patients alongside matched controls.

Twelve studies were included, involving 1137 participants. Several measurements examined prediabetes, including fasting plasma glucose, impaired glucose tolerance, and insulin resistance. Pooled analysis found FEP to be related to impaired glucose tolerance (mean difference 1.31 [0.37, 2.25]), insulin resistance (mean difference 0.30 [0.18, 0.42]), and the number of patients with impaired glucose tolerance (odds ratio 5.44 [2.63–11.27]).

Our findings suggest a potential link between prediabetic markers, in particular impaired glucose tolerance and insulin resistance, and FEP. However, we cannot establish causality, and the studies contributing to this review were at some risk of bias. Nevertheless, the findings might help to explain the increased prevalence of T2DM in patients with schizophrenia and could have implications for the management of schizophrenia patients.

The authors have not supplied their declaration of competing interest.

Communication may be an influential determinant of inequality of access to, engagement with and benefit from psychiatric services.

To review the evidence on interventions designed to improve therapeutic communications between Black and minority ethnic patients and clinicians who provide care in psychiatric services.

Systematic review and evidence synthesis (PROSPERO registration: CRD42011001661). Data sources included the published and the ‘grey’ literature. A survey of experts and a consultation with patients and carers all contributed to the evidence synthesis, interpretation and recommendations.

Twenty-one studies were included in our analysis. The trials showed benefits mainly for depressive symptoms, experiences of care, knowledge, stigma, adherence to prescribed medication, insight and alliance. The effect sizes were smaller for better-quality trials (range of d 0.18–0.75) than for moderate- or lower-quality studies (range of d 0.18–4.3). The review found only two studies offering weak economic evidence.

Culturally adapted psychotherapies, and ethnographic and motivational assessment leading to psychotherapies were effective and favoured by patients and carers. Further trials are needed from outside of the UK and USA, as are economic evaluations and studies of routine psychiatric care practices.

The neurocognitive deficits and other correlates of problem gambling are also observable in individuals with lower cognitive abilities, suggesting that a low IQ may be a determinant of problem gambling. There has been very little research into this possibility. This study aimed to investigate the characteristics associated with problem gambling in a large population-based study in England, with a particular focus on IQ.

The Adult Psychiatric Morbidity Survey (APMS) 2007 comprised detailed interviews with 7403 individuals living in private households in England. Problem gambling was ascertained using a questionnaire based on DSM-IV criteria. Verbal IQ was estimated using the National Adult Reading Test (NART). Confounders included socio-economic and demographic factors, common mental disorders, impulsivity, smoking, and hazardous drug and alcohol use.

More than two-thirds of the population reported engaging in some form of gambling in the previous year, but problem gambling was rare [prevalence 0.7%, 95% confidence interval (CI) 0.5–1.0]. The odds of problem gambling doubled with each standard deviation drop in estimated verbal IQ [adjusted odds ratio (OR) 2.1, 95% CI 1.3–3.4, p = 0.003], after adjusting for other characteristics associated with problem gambling including age, sex, socio-economic factors, drug and alcohol dependence, smoking, impulsivity and common mental disorders. There was no strong relationship observed between IQ and non-problem gambling.

People with lower IQs may be at a higher risk of problem gambling. Further work is required to replicate and study the mechanisms behind these findings, and may aid the understanding of problem gambling and inform preventative measures and interventions.

Happiness and higher intelligent quotient (IQ) are independently related to positive health outcomes. However, there are inconsistent reports about the relationship between IQ and happiness. The aim was to examine the association between IQ and happiness and whether it is mediated by social and clinical factors.

The authors analysed data from the 2007 Adult Psychiatric Morbidity Survey in England. The participants were adults aged 16 years or over, living in private households in 2007. Data from 6870 participants were included in the study. Happiness was measured using a validated question on a three-point scale. Verbal IQ was estimated using the National Adult Reading Test and both categorical and continuous IQ was analysed.

Happiness is significantly associated with IQ. Those in the lowest IQ range (70–99) reported the lowest levels of happiness compared with the highest IQ group (120–129). Mediation analysis using the continuous IQ variable found dependency in activities of daily living, income, health and neurotic symptoms were strong mediators of the relationship, as they reduced the association between happiness and IQ by 50%.

Those with lower IQ are less happy than those with higher IQ. Interventions that target modifiable variables such as income (e.g. through enhancing education and employment opportunities) and neurotic symptoms (e.g. through better detection of mental health problems) may improve levels of happiness in the lower IQ groups.

Long-term physical conditions (LTCs) consume the largest share of healthcare budgets. Although common mental disorders (CMDs) and LTCs often co-occur, the potential impact of improved mental health treatment on severe disability and hospital admissions for physical health problems remains unknown.

A cross-sectional study of 7403 adults aged 16–95 years living in private households in England was performed. LTCs were ascertained by prompted self-report. CMDs were ascertained by structured clinical interview. Disability was assessed using questions about problems with activities of daily living. Population impact and potential preventive gain were estimated using population-attributable fraction (PAF), and conservative estimates were obtained using ‘treated non-cases’ as the reference group.

Of the respondents, 20.7% reported at least one LTC. The prevalence of CMDs increased with the number of LTCs, but over two-thirds (71.2%) of CMD cases in people with LTCs were untreated. Statistically significant PAFs were found for CMDs and recent hospital admission [13.5%, 95% confidence intervals (CI) 6.6–20.0] and severe disability (31.3%, 95% CI 27.1–35.2) after adjusting for LTCs and other confounders. Only the latter remained significant when using the most conservative estimate of PAF (21.8%, 95% CI 14.0–28.9), and this was reduced only slightly when considering only participants with LTCs (18.5%, 95% CI 7.9–27.9).

Better treatments for CMDs in people with LTCs could achieve almost the same population health gain in terms of reducing severe disability as those targeted at the entire population. Interventions to reduce the prevalence of CMDs among people with LTCs should be part of routine medical care.

Evidence for an effect of work stressors on common mental disorders (CMD) has increased over the past decade. However, studies have not considered whether the effects of work stressors on CMD remain after taking co-occurring non-work stressors into account.

Data were from the 2007 Adult Psychiatric Morbidity Survey, a national population survey of participants ⩾16 years living in private households in England. This paper analyses data from employed working age participants (N=3383: 1804 males; 1579 females). ICD-10 diagnoses for depressive episode, generalized anxiety disorder, obsessive compulsive disorder, agoraphobia, social phobia, panic or mixed anxiety and depression in the past week were derived using a structured diagnostic interview. Questionnaires assessed self-reported work stressors and non-work stressors.

The effects of work stressors on CMD were not explained by co-existing non-work stressors. We found independent effects of work and non-work stressors on CMD. Job stress, whether conceptualized as job strain or effort–reward imbalance, together with lower levels of social support at work, recent stressful life events, domestic violence, caring responsibilities, lower levels of non-work social support, debt and poor housing quality were all independently associated with CMD. Social support at home and debt did not influence the effect of work stressors on CMD.

Non-work stressors do not appear to make people more susceptible to work stressors; both contribute to CMD. Tackling workplace stress is likely to benefit employee psychological health even if the employee's home life is stressful but interventions incorporating non-work stressors may also be effective.

Psychiatric co-morbidity is complex and ubiquitous. Our aim was to describe the extent, nature and patterning of psychiatric co-morbidity within a representative sample of the adult population of England, using latent class analysis.

Data were used from the 2007 Adult Psychiatric Morbidity Survey, a two-phase national household survey undertaken in 2007 comprising 7325 participants aged 16 years and older living in private households in England. The presence of 15 common mental health and behavioural problems was ascertained using standardized clinical and validated self-report measures, including three anxiety disorders, depressive episode, mixed anxiety depressive disorder, psychosis, antisocial and borderline personality disorders, eating disorders, post-traumatic stress disorder, attention deficit disorder, alcohol and drug dependencies, problem gambling and attempted suicide.

A four-class model provided the most parsimonious and informative explanation of the data. Most participants (81.6%) were assigned to a non-symptomatic or ‘Unaffected’ class. The remainder were classified into three qualitatively different symptomatic classes: ‘Co-thymia’ (12.4%), ‘Highly Co-morbid’ (5.0%) and ‘Addictions’ (1.0%). Classes differed in mean numbers of conditions and impairments in social functioning, and these dimensions were correlated.

Our findings confirm that mental disorders typically co-occur and are concentrated in a relatively small number of individuals. Conditions associated with the highest levels of disability, mortality and cost – psychosis, suicidality and personality disorders – are often co-morbid with more common conditions. This needs to be recognized when planning services and when considering aetiology.

The association between poor mental health and poverty is well known but its mechanism is not fully understood. This study tests the hypothesis that the association between low income and mental disorder is mediated by debt and its attendant financial hardship.

The study is a cross-sectional nationally representative survey of private households in England, Scotland and Wales, which assessed 8580 participants aged 16–74 years living in general households. Psychosis, neurosis, alcohol abuse and drug abuse were identified by the Clinical Interview Schedule – Revised, the Schedule for Assessment in Neuropsychiatry (SCAN), the Alcohol Use Disorder Identification Test (AUDIT) and other measures. Detailed questions were asked about income, debt and financial hardship.

Those with low income were more likely to have mental disorder [odds ratio (OR) 2.09, 95% confidence interval (CI) 1.68–2.59] but this relationship was attenuated after adjustment for debt (OR 1.58, 95% CI 1.25–1.97) and vanished when other sociodemographic variables were also controlled (OR 1.07, 95% CI 0.77–1.48). Of those with mental disorder, 23% were in debt (compared with 8% of those without disorder), and 10% had had a utility disconnected (compared with 3%). The more debts people had, the more likely they were to have some form of mental disorder, even after adjustment for income and other sociodemographic variables. People with six or more separate debts had a six-fold increase in mental disorder after adjustment for income (OR 6.0, 95% CI 3.5–10.3).

Both low income and debt are associated with mental illness, but the effect of income appears to be mediated largely by debt.