898 research outputs found
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Mental Health and Wellbeing in England: the Adult Psychiatric Morbidity Survey 2014
This report presents findings of a survey of mental illness and wellbeing among people aged 16 and over living in private households in England. The survey was commissioned by NHS Digital and funded by the Department of Health, and is the fourth in a series of surveys of adult mental health
Primary group size, social support, gender and future mental health status in a prospective study of people living in private households throughout Great Britain
Background. Structural characteristics of social networks such as primary group size have received
less attention than measures of perceived social support. Previous research suggests that associations
between social network size and later common mental disorder status may differ according to
sex and initial mental state.
Method. Adults participating in the 2000 British National Household Survey of psychiatric
morbidity were randomly selected for follow-up 18 months later. The revised Clinical Interview
Schedule (CIS-R) and the Interview Measure of Social Relations (IMSR) were administered at
baseline and follow-up. Primary group size was defined as the total number of close relatives and
friends. A four-level scale of common mental disorder was modelled with ordinal logistic regression,
based on weighted data (n=2413).
Findings. After adjusting for confounders, a primary group size of three or less at time 1 predicted
worse mental health at time 2. This effect was greatest in men who were initially non-cases at
baseline (averaged odds 4.5) and in women who were initially cases at baseline (average odds 2.9).
Primary group size at time 2 was significantly predicted by level of common mental disorder at time
1 in women but not in men. Thus, confounding by baseline disorder does not explain risk of
developing poor mental health in socially isolated men.
Conclusion. This study replicates the strong effects of primary group size on future mental health
that emerge when men and women are studied separately and when subjects are categorized
according to baseline mental health status
The population impact of common mental disorders and long-term physical conditions on disability and hospital admission
Background: 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.
Method: 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.
Results: 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).
Conclusions: 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
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Inequalities in Health and Service Use among People with Borderline Intellectual Impairment
This report, produced in collaboration with Professor Angela Hassiotis and others, sets out the extent to which people with borderline intellectual impairment face inequalities in health and use of services compared with the rest of the population, and seeks to improve awareness of these inequalities.
Findings
- Borderline intellectual impairment is common, affecting at least one adult in ten in England. The term is used here to refer to people with good verbal skills and living in private households, but who may experience cognitive impairments.
- The findings in this report are consistent with previous research: people with borderline intellectual impairment are a disadvantaged group and their needs are not well understood.
- Such adults face high levels of poor mental health, poorer general health, and many limitations in their daily lives.
- Their level of use of mental health treatment and services does not appear to be commensurate with their higher level of need. This indicates that they are underserved compared with the rest of the population.
- This may be due to a lack of professional awareness of their needs, to services not adapting enough to meet those needs, or to difficulties the individual faces in seeking treatment and support.
- Adults with borderline intellectual impairment constitute key users of primary and secondary health care, and employment, education and welfare support. Improving awareness of the needs of this group should form part of wider plans to reduce inequalities in health and service use in England.
Methods
Secondary analysis of data from the Adult Psychiatric Morbidity Survey (APMS) was conducted to profile the circumstances of people with borderline intellectual impairment. APMS is one of the most authoritative and comprehensive national household surveys to assess both intellectual functioning and mental health in adults in England
Religious discrimination and common mental disorders in England: a nationally representative population-based study
PURPOSE:
Although the impact of discrimination on mental health has been increasingly discussed, the effect of religious discrimination has not been examined systematically. We studied the prevalence of perceived religious discrimination and its association with common mental disorders in a nationally representative population-based sample in England.
METHODS:
We used data from the Adult Psychiatric Morbidity Survey 2007 that represents all adults age 16 years and over living in private households in England. Common mental disorders were ascertained using the Revised Clinical Interview Schedule. Experience of discrimination was assessed by a computer-assisted self-report questionnaire and potential paranoid traits by the Psychosis Screening Questionnaire.
RESULTS:
From the total of 7318 participants, 3873 (52.4 %) reported adhering to religion. 108 subjects (1.5 %) reported being unfairly treated in the past 12 months due to their religion. Non-Christian religious groups were more likely to report perceived religious discrimination compared to Christians (OR 11.44; 95 % CI 7.36–17.79). People who experienced religious discrimination had increased prevalence of all common mental disorders. There was a two-fold increase in the risk of common mental disorders among people who reported experience of religious discrimination independent of their ethnicity, skin colour or suspected paranoid traits.
CONCLUSIONS:
The impact of perceived religious discrimination on mental health should be given more consideration in treatment and future preventative policies
The mental health of ex-prisoners: analysis of the 2014 English National Survey of Psychiatric Morbidity
Purpose: Prisoners experience extremely high rates of psychiatric disturbance. However, ex-prisoners have never previously been identified in representative population surveys to establish how far this excess persists after release. Our purpose was to provide the first community-based estimate of ex-prisoners’ mental health in England using the data from the 2014 Adult Psychiatric Morbidity Survey (APMS). / Methods: APMS 2014 provides cross-sectional data from a random sample (N = 7546) of England’s household population aged 16 or above. Standardised instruments categorised psychiatric disorders and social circumstances. Participants who had been in prison were compared with the rest of the sample. / Results: One participant in seventy had been in prison (1.4%; 95% CI 1.1–1.7; n = 103). Ex-prisoners suffered an excess of current psychiatric problems, including common mental disorders (CMDs), psychosis, post-traumatic disorder, substance dependence, and suicide attempts. They were more likely to screen positive for attention-deficit/hyperactivity disorder and autistic traits, to have low verbal IQ, and to lack qualifications. They disclosed higher rates of childhood adversity, including physical and sexual abuse and local authority care. The odds (1.88; 95% CI 1.02–3.47) of CMDs were nearly doubled in ex-prisoners, even after adjusting for trauma and current socioeconomic adversity. / Conclusions: Prison experience is a marker of enduring psychiatric vulnerability, identifying an important target population for intervention and support. Moreover, the psychiatric attributes of ex-prisoners provide the context for recidivism. Without effective liaison between the criminal justice system and mental health services, the vulnerability of ex-prisoners to relapse and to reoffending will continue, with consequent personal and societal costs
Debt income and mental disorder in the general population
Background 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.
Method 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.
Results 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).
Conclusions Both low income and debt are associated with mental illness, but the effect of income appears to be mediated largely by debt
Positive and negative symptoms in schizophrenia: A longitudinal analysis using latent variable structural equation modelling
BACKGROUND: Recent network models of schizophrenia propose it is the consequence of mutual interaction between its symptoms. While cross-sectional associations between negative and positive symptoms are consistent with this idea, they may merely reflect their involvement in the diagnostic process. Longitudinal analyses however may allow the identification of possible causal relationships. The European Schizophrenia Cohort (EuroSC) provides data suitable for this purpose. METHODS: EuroSC includes 1208 patients randomly sampled from outpatient services in France, Germany and the UK. Initial measures were repeated after 12 and 24 months. Latent variable structural equation modelling was used to investigate the direction of effect between positive and negative symptoms assessed with the Positive and Negative Syndrome Scale, controlling for the effects of depressed mood and antipsychotic medication. RESULTS: The structural model provided acceptable overall fit [χ2 (953) = 2444.32, P < 0.001; CFI = 0.909; RMSEA = 0.046 (90% CI: 0.043, 0.048); SRMR = 0.052]. Both positive and negative symptoms were persistent, and strongly auto-correlated. There were also persistent cross-sectional associations between positive and negative symptoms. While the path from latent positive to negative symptoms from T1 to T2 approached conventional levels of statistical significance (P = 0.051), that from T2 to T3 did not (P = 0.546). Pathways in the reverse direction were uniformly non-significant. CONCLUSIONS: There was no evidence that negative symptoms predict later positive symptoms. The prediction of negative symptoms by positive symptoms was ambiguous. We discuss implications for conceptualization of schizophrenic processes
Peer assessment to improve medical student’s contributions to team-based projects: randomised controlled trial and qualitative follow-up
Background
Medical schools increasingly incorporate teamwork in their curricula but medical students often have a negative perception of team projects, in particular when there is unequal participation. The purpose of this study is to evaluate whether a novel peer evaluation system improves teamwork contributions and reduces the risk of students “free loading”.
Methods
A cluster randomised controlled trial (RCT) with qualitative follow up enrolled 37 teams (n = 223 students). Participating teams were randomised to intervention group (19 teams) or control group (18 teams). The validated Comprehensive Assessment Team Member Effectiveness (CATME) tool was used as the outcome measure, and was completed at baseline (week 2) and at the end of the project (week 10). The team contribution subscale was the primary outcome, with other subscales as secondary outcomes. Six focus group discussions were held with students to capture the team’s experiences and perceptions of peer assessment and its effects on team work.
Results
The results of the RCT showed that there was no difference in team contribution, and other forms of team effectiveness, between intervention and control teams. The focus group discussions highlighted students’ negative attitudes, and lack of implementation of this transparent, points-based peer assessment system, out of fear of future consequences for relationships with peers. The need to assess peers in a transparent way to stimulate open discussion was perceived as threatening by participants. Teams suggested that other peer assessment systems could work such as rewarding additional or floating marks to high performing team members.
Conclusions
Other models of peer assessment need to be developed and tested that are non-threatening and that facilitate early acceptance of this mode of assessment
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