Diabetes, Common Mental Disorders, and Disability: Findings From the UK National Psychiatric Morbidity Survey

2007 ◽  
Vol 69 (6) ◽  
pp. 543-550 ◽  
Author(s):  
Jayati Das-Munshi ◽  
Rob Stewart ◽  
Khalida Ismail ◽  
Paul E. Bebbington ◽  
Rachel Jenkins ◽  
...  
2006 ◽  
Vol 189 (2) ◽  
pp. 109-117 ◽  
Author(s):  
Petros Skapinakis ◽  
Scott Weich ◽  
Glyn Lewis ◽  
Nicola Singleton ◽  
Ricardo Araya

BackgroundIndividuals in lower socio-economic groups have an increased prevalence of common mental disorders.AimsTo investigate the longitudinal association between socio-economic position and common mental disorders in a general population sample in the UK.MethodParticipants (n=2406) were assessed at two time points 18 months apart with the Revised Clinical Interview Schedule. The sample was stratified into two cohorts according to mental health status at baseline.ResultsNone of the socio-economic indicators studied was significantly associated with an episode of common mental disorder at follow-up after adjusting for baseline psychiatric morbidity. The analysis of separate diagnostic categories showed that subjective financial difficulties at baseline were independently associated with depression at follow-up in both cohorts.ConclusionsThese findings support the view that apart from objective measures of socio-economic position, more subjective measures might be equally important from an aetiological or clinical perspective.


2010 ◽  
Vol 197 (5) ◽  
pp. 411-412 ◽  
Author(s):  
Dheeraj Rai ◽  
Petros Skapinakis ◽  
Nicola Wiles ◽  
Glyn Lewis ◽  
Ricardo Araya

SummaryIn a representative sample of the UK population we found that common mental disorders (as a group and in ICD–10 diagnostic categories) and subthreshold psychiatric symptoms at baseline were both independently associated with new-onset functional disability and significant days lost from work at 18-month follow-up. Subthreshold symptoms contributed to almost half the aggregate burden of functional disability and over 32 million days lost from work in the year preceding the study. Leaving these symptoms unaccounted for in surveys may lead to gross underestimation of disability related to psychiatric morbidity.


1998 ◽  
Vol 91 (2) ◽  
pp. 66-71 ◽  
Author(s):  
K S Jacob ◽  
D Bhugra ◽  
K R Lloyd ◽  
A H Mann

Women of Indian origin are said to have a lower rate of recognized common mental disorders and a higher frequency of consultation in primary care than white British. The aim of this study was to evaluate factors, including explanatory models (patient perspectives) of illness, associated with common mental disorders and with frequency of consultation among women of Indian origin in primary care. The investigation was conducted in a general practice in West London with a large Indian population. Consecutive woman attenders of Indian descent were screened with the General Health Questionnaire-12 to identify probable cases of psychiatric morbidity. 100 patients were interviewed with the Revised Clinical Interview Schedule (CIS-R), a specific tool for the diagnosis of common mental disorders, and the Short Explanatory Model Interview, which elicits the individual's conceptualization of his or her illness. Those patients who satisfied CIS-R criteria were classified as ‘cases’, the others as ‘controls’. Common mental disorders were documented in 30% of patients. The general practitioner's diagnosis of common mental disorders had a sensitivity of 17% and a specificity of 91%. Individuals with common mental disorders had a higher frequency of consultation (P=0.017), were less likely to see depression as an indication for medical intervention and were more likely to withhold some of their concerns from the general practitioner. Incorrect diagnosis by the GP was most likely to occur when patients did not disclose all their complaints. These associations were all statistically significant after adjustment for possible confounders by multiple linear and logistic regression. Women of Indian origin in this sample had rates of common mental disorders similar to those in other UK populations. Differing conceptualizations of common mental disorders may contribute to their underrecognition in women of Indian origin.


2004 ◽  
Vol 184 (4) ◽  
pp. 289-290 ◽  
Author(s):  
Scott Weich ◽  
Ricardo Araya

Vicente and his colleagues present admirably concise findings from a large epidemiological survey of non-psychotic psychiatric morbidity in four different geographical locations in Chile (Vicente et al, 2004, this issue). Without gainsaying the importance of psychiatric morbidity in that country, many readers, including local decision-makers, may find it difficult to assimilate these results.


BJPsych Open ◽  
2016 ◽  
Vol 2 (1) ◽  
pp. 18-24 ◽  
Author(s):  
Sebastião Viola ◽  
Joanna Moncrieff

BackgroundThere is international concern about the levels of sickness and disability benefits, with mental disorders known to account for a large proportion of claims.AimsTo examine trends in sickness and disability benefits awarded for mental disorders in the UK.MethodThe researchers analysed UK Government data from 1995 to 2014.ResultsMental disorders have become the most common cause of receiving benefits, with the number of claimants rising by 103% from 1995 to 1.1 million in 2014. Claimants with other conditions fell by 35%. In 2014, 47% of claims were attributed to a mental disorder. The number of long-term claimants (claiming over 5 years) with mental disorders increased by 87% from 2000 to 2011. Two-thirds of mental disorder claimants were classified as having a depressive or anxiety disorder.ConclusionsCommon mental disorders may involve greater morbidity and social costs than usually recognised. Availability of suitable employment, as well as individual support, may be necessary to reduce benefit levels.


BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S283-S284
Author(s):  
Nivedita Rebbapragada ◽  
Vivek Furtado ◽  
George William Hawker-Bond

AimsTo report pooled prevalence of all mental disorders among the general prison population in the United Kingdom (UK). This includes individuals in Young Offender Institutions (YOI), youth custody and adult prisons across all categories. A secondary aim explores possible sources of heterogeneity by performing subgroup and meta-regression analysis across certain covariates (e.g. sex of prisoner). We hypothesise that contemporary estimates of mental disorders are higher than the general population.BackgroundPrevalence of mental health problems among prisoners are considerably higher than the general population; this poses an important public health concern. Individuals who require diversion to appropriate psychiatric services are becoming embroiled in the revolving door of the criminal justice system. However, there are no up-to-date reviews assessing prevalence of mental disorders across the general prison population in the UK. This study aims to address this gap.MethodWe conducted a systematic search of PsycINFO (1923 – October 2019), MEDLINE (1946 – October 2019), EMBASE (1947 – October 2019) and Web of Science (all years) of articles reporting prevalence of mental disorders in UK prison populations (PROSPERO registration number: CRD42019132685). The Joanna Briggs Institute (JBI) Appraisal Checklist for Studies Reporting Prevalence Data assessed study quality and bias. Pooled prevalence of each mental disorder was calculated using Stata statistical software 16.0 via the metaprop command. Forest plots present prevalence estimates with study weights and associated 95% confidence intervals (CI). Overall, 20 studies satisfied inclusion criteria, comprising of 12,335 prisoners across England, Wales and Scotland.ResultWe identified higher rates of neurotic disorders (28.9%, 95% CI 0.71–74.7%), personality disorders (23.5%, 95% CI 13.6–35.2%), alcohol (22.7%, 95% CI 12.2–35.1%) and drug dependence (26.7%, 95% CI 15.0–40.4%). The lowest prevalence rates included schizophrenia (2.42%, 95% CI 0.78–4.84%), panic disorders (3.88%, 95% CI 3.17% – 4.64%), adjustment disorders (3.83%, 95% CI 1.19–7.84%) and intellectual disability (2.90%, 95% CI 0.90–5.80%). Meta-regressions for psychotic disorder and personality disorder revealed no significant differences across study year, sample size and gender.ConclusionOur prevalence estimates of mental disorders in prisons are higher than the general English population. However, we should acknowledge the influence of considerable heterogeneity. These findings demonstrate the need to quantify current prevalence of mental disorders amongst prisoners in the UK. We recommend for the government to consider performing an up-to-date census of psychiatric morbidity to facilitate service provision.


2000 ◽  
Vol 177 (6) ◽  
pp. 557-562 ◽  
Author(s):  
David B. Mumford ◽  
Fareed A. Minhas ◽  
Imtiaz Akhtar ◽  
Saeed Akhter ◽  
Malik H. Mubbashar

BackgroundRecent studies in rural areas of Pakistan have yielded high prevalence rates of common mental disorders, especially among women.AimsTo investigate emotional distress and common mental disorders in a poor urban district using the same survey method.MethodFirst-stage screening of a slum district of Rawalpindi used the Bradford Somatic Inventory. Psychiatric interviews were conducted with stratified samples using the ICD–10 research diagnostic criteria.ResultsOn a conservative estimate, 25% of women and 10% of men suffered from anxiety and depressive disorders. Levels of emotional distress increased with age in both men and women. Women living in joint households reported more distress than those living in unitary families. Higher levels of education were associated with lower risk of common mental disorders, especially in younger women. Emotional distress was negatively correlated with socio-economic variables among women.ConclusionsThis study found levels of emotional distress and psychiatric morbidity in a poor district of Rawalpindi to be less than half those in a nearby rural village in the Punjab, although rates in women were still double those in men. Possible explanations are that more healthy people migrate to the cities or that urban living is more conducive to good mental health in Pakistan.


2011 ◽  
Vol 42 (4) ◽  
pp. 829-842 ◽  
Author(s):  
C. Clark ◽  
C. Pike ◽  
S. McManus ◽  
J. Harris ◽  
P. Bebbington ◽  
...  

BackgroundEvidence 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.MethodData 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.ResultsThe 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.ConclusionsNon-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.


2000 ◽  
Vol 34 (2) ◽  
pp. 197-205 ◽  
Author(s):  
Scott Henderson ◽  
Gavin Andrews ◽  
Wayne Hall

Objectives: The objectives of this study were to estimate the 1-month and 1-year prevalence of mental disorders in the Australian adult population; to determine the amount of disablement associated with this; and to determine the use of health and other services by persons with common mental disorders. Method: For the Adult Survey, a household sample of 10 600 persons aged 18 years and over were interviewed across Australia by experienced field staff of the Australian Bureau of Statistics. This was 78%% of the target sample. The interview consisted of the composite international diagnostic interview in its automated presentation (CIDI-A) and other components to determine disablement, use of services and satisfaction with services received. The diagnostic classifications used in the analyses were both ICD-10 and DSM-IV. Only the results from ICD-10 are reported here. Results: A total of 17.7%% of the sample had one or more common mental disorders, anxiety, depression, alcohol or substance abuse and neurasthenia. This morbidity was associated with considerable disablement in daily life: 3 days of impaired social role performance in the previous 4 weeks, compared with 1 day for the general population. Of all cases, 64.6%% had had no contact with health services in the previous year; 29.4%% had seen GPs and 7.5%% had seen psychiatrists. Conclusion: Australia now has its own national estimates of psychiatric morbidity. The morbidity is associated with considerable disablement, but most of it is untreated. General practitioners encounter by far the largest proportion of those reaching services.


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