Functioning, symptom expression and risk along the psychosis continuum.

BACKGROUND: The psychosis continuum implies that subclinical psychotic experiences (PEs) can be differentiated from clinically relevant expressions since they are not accompanied by a 'need for care'. METHODS: Using data from Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; N = 34 653), the current study examined variation in functioning, symptomology and aetiological risk across the psychosis phenotype [i.e. variation from (i) no PEs, 'No PEs' to (ii) non-distressing PEs, 'PE-Experienced Only' to (iii) distressing PEs, 'PE-Impaired' to (iv) clinically defined psychotic disorder, 'Diagnosed']. RESULTS: A graded trend was present such that, compared to those with no PEs, the Diagnosed group had the poorest functioning, followed by the PE-Impaired then PE-Experienced Only groups. In relation to symptom expression, the PE-Impaired group were more likely than the PE-Experienced Only and the Diagnosed groups to endorse most PEs. Predictors of group membership tended to vary quantitatively rather than qualitatively. Trauma, current mental health diagnoses (anxiety and depression) and drug use variables differentiated between all levels of the continuum, with the exception of the extreme end (PE-Impaired v. Diagnosed). Only a few variables distinguished groups at the upper end of the continuum: female sex, older age, unemployment, parental mental health hospitalisation and lower likelihood of having experienced physical assault. CONCLUSIONS: The findings highlight the importance of continuum-based interpretations of the psychosis phenotype and afford valuable opportunities to consider if and how impairment, symptom expression and risk change along the continuum.

Effects of ethnic density on the risk of compulsory psychiatric admission for individuals attending secondary care mental health services: evidence from a large-scale study in England.

BACKGROUND: Black, Asian and minority ethnicity groups may experience better health outcomes when living in areas of high own-group ethnic density - the so-called 'ethnic density' hypothesis. We tested this hypothesis for the treatment outcome of compulsory admission. METHODS: Data from the 2010-2011 Mental Health Minimum Dataset (N = 1 053 617) was linked to the 2011 Census and 2010 Index of Multiple Deprivation. Own-group ethnic density was calculated by dividing the number of residents per ethnic group for each lower layer super output area (LSOA) in the Census by the LSOA total population. Multilevel modelling estimated the effect of own-group ethnic density on the risk of compulsory admission by ethnic group (White British, White other, Black, Asian and mixed), accounting for patient characteristics (age and gender), area-level deprivation and population density. RESULTS: Asian and White British patients experienced a reduced risk of compulsory admission when living in the areas of high own-group ethnic density [odds ratios (OR) 0.97, 95% credible interval (CI) 0.95-0.99 and 0.94, 95% CI 0.93-0.95, respectively], whereas White minority patients were at increased risk when living in neighbourhoods of higher own-group ethnic concentration (OR 1.18, 95% CI 1.11-1.26). Higher levels of own-group ethnic density were associated with an increased risk of compulsory admission for mixed-ethnicity patients, but only when deprivation and population density were excluded from the model. Neighbourhood-level concentration of own-group ethnicity for Black patients did not influence the risk of compulsory admission. CONCLUSIONS: We found only minimal support for the ethnic density hypothesis for the treatment outcome of compulsory admission to under the Mental Health Act.

Refuting the myth of a 'tsunami' of mental ill-health in populations affected by COVID-19: evidence that response to the pandemic is heterogeneous, not homogeneous.

BACKGROUND: The current study argues that population prevalence estimates for mental health disorders, or changes in mean scores over time, may not adequately reflect the heterogeneity in mental health response to the COVID-19 pandemic within the population. METHODS: The COVID-19 Psychological Research Consortium (C19PRC) Study is a longitudinal, nationally representative, online survey of UK adults. The current study analysed data from its first three waves of data collection: Wave 1 (March 2020, N = 2025), Wave 2 (April 2020, N = 1406) and Wave 3 (July 2020, N = 1166). Anxiety-depression was measured using the Patient Health Questionnaire Anxiety and Depression Scale (a composite measure of the PHQ-9 and GAD-7) and COVID-19-related posttraumatic stress disorder (PTSD) with the International Trauma Questionnaire. Changes in mental health outcomes were modelled across the three waves. Latent class growth analysis was used to identify subgroups of individuals with different trajectories of change in anxiety-depression and COVID-19 PTSD. Latent class membership was regressed on baseline characteristics. RESULTS: Overall prevalence of anxiety-depression remained stable, while COVID-19 PTSD reduced between Waves 2 and 3. Heterogeneity in mental health response was found, and hypothesised classes reflecting (i) stability, (ii) improvement and (iii) deterioration in mental health were identified. Psychological factors were most likely to differentiate the improving, deteriorating and high-stable classes from the low-stable mental health trajectories. CONCLUSIONS: A low-stable profile characterised by little-to-no psychological distress ('resilient' class) was the most common trajectory for both anxiety-depression and COVID-19 PTSD. Monitoring these trajectories is necessary moving forward, in particular for the ~30% of individuals with increasing anxiety-depression levels.

The clustering of physical health conditions and associations with co-occurring mental health problems and problematic alcohol use: a cross-sectional study.

BACKGROUND: There is strong evidence for the co-occurrence of mental health conditions and alcohol problems, yet physical health outcomes among this group are not well characterised. This study aimed to identify clusters of physical health conditions and their associations with mental health and problematic alcohol use in England's general population. METHODS: Cross-sectional analysis of the 2014 Adult Psychiatric Morbidity Survey (N = 7546) was conducted. The survey used standardised measures of problematic alcohol use and mental health conditions, including the Alcohol Use Disorders Identification Test (AUDIT) and the Clinical Interview Schedule-Revised. Participants self-reported any lifetime physical health conditions. Latent class analysis considered 12 common physical illnesses to identify clusters of multimorbidity. Multinomial logistic regression (adjusting for age, gender, ethnicity, education, and occupational grade) was used to explore associations between mental health, hazardous drinking (AUDIT 8 +), and co-occurring physical illnesses. RESULTS: Five clusters were identified with statistically distinct and clinically meaningful disease patterns: 'Physically Healthy' (76.62%), 'Emerging Multimorbidity' (3.12%), 'Hypertension & Arthritis' (14.28%), 'Digestive & Bowel Problems'' (3.17%), and 'Complex Multimorbidity' (2.8%). Having a mental health problem was associated with increased odds of 'Digestive & Bowel Problems' (adjusted multinomial odds ratio (AMOR) = 1.58; 95% CI [1.15-2.17]) and 'Complex Multimorbidity' (AMOR = 2.02; 95% CI [1.49-2.74]). Individuals with co-occurring mental health conditions and problematic alcohol use also had higher odds of 'Digestive & Bowel Problems' (AMOR = 2.64; 95% CI [1.68-4.15]) and 'Complex Multimorbidity' (AMOR = 2.62; 95% CI [1.61-4.23]). CONCLUSIONS: Individuals with a mental health condition concurrent with problematic alcohol use experience a greater burden of physical illnesses, highlighting the need for timely treatment which is likely to include better integration of alcohol and mental health services.

Symptoms and levels of ICD-11 Prolonged Grief Disorder in a representative community sample of UK adults.

BACKGROUND: Prolonged Grief Disorder (PGD) is a new disorder included in ICD-11 (WHO, 2018). There is a growing body of literature surrounding the prevalence and correlates of ICD-11 PGD symptoms as assessed using various measures. This study was the first to assess levels of ICD-11 PGD symptoms as measured by the International Prolonged Grief Disorder Scale (IPGDS), a self-report scale directly aligned with the ICD-11 definition of PGD, among the United Kingdom adult general population, and identify correlates. METHOD: Participants included 2025 adults who participated in Wave 5 of the COVID-19 Psychological Research Consortium Study (C19PRC-UK). Prevalence rates of PGD were estimated based on two commonly used algorithms defined as 'strict' and 'moderate'. Sociodemographic, loss-related, and mental health correlates (i.e., anxiety, depression, mental health treatment seeking, loneliness) of strict and moderate PGD were then examined using multinomial logistic regressions. RESULTS: It was found that 2.4% (n = 43) of participants met probable caseness for PGD using the strict criteria while 7.9% (n = 140) met probable caseness for PGD using the moderate criteria. Multinomial logistic regression analysis results showed, as predicted, that income, time since bereavement, death of a child, religiosity, and depression were associated with both moderate and strict PGD. Correlates of moderate PGD included country of residence, urbanicity, younger age of bereaved, and loneliness. CONCLUSIONS: This study highlights that some symptoms of PGD are commonly reported in the general population, although relatively few meet the criteria for clinical significance. The routine assessment for PGD following a bereavement is discussed and the development of appropriate interventions are recommended.

Prevalence of probable eating disorders and associated risk factors: An analysis of the Northern Ireland Youth Wellbeing Survey using the SCOFF.

OBJECTIVES: Eating disorders (ED) are associated with significant morbidity and mortality rates and are most common in young people aged between 15 and 19 years. Large representative surveys on disordered eating in youth are lacking. The main aims were to estimate the prevalence of disordered eating in a representative sample of 11-19 year olds in Northern Ireland and investigate the associations between probable eating disorder and a range of risk factors. DESIGNS AND METHODS: A large nationally representative household survey was conducted, and the bivariate and multivariate associations between demographic, familial, economic and psychological risk factors and probable eating disorder were assessed. RESULTS: A total of 16.2% (n = 211) of the sample met the SCOFF screening criteria for disordered eating. Probable eating disorder was associated with being female (OR = 2.44), having a parent with mental health problems (OR = 1.68), suffering from certain psychological problems, such as mood or anxiety disorder (OR = 2.55), social media disorder (OR = 2.95), being the victim of physical bullying (OR = 1.71) and having smoked (OR = 2.46). CONCLUSIONS: This study provides the first prevalence estimates of probable eating disorder among youth in Northern Ireland. Furthermore, the study identifies unique risk factors for probable eating disorder among this representative sample.

The development and initial validation of self-report measures of ICD-11 depressive episode and generalized anxiety disorder: The International Depression Questionnaire (IDQ) and the International Anxiety Questionnaire (IAQ).

BACKGROUND: The new International Classification of Diseases came into effect in 2022 (ICD-11; World Health Organization, 2022) and included updated descriptions and diagnostic rules for "Depressive Episode" and "Generalized Anxiety Disorder." No self-report measures align with these disorders so this study reports the development and initial validation of the "International Depression Questionnaire" (IDQ) and "International Anxiety Questionnaire" (IAQ). METHODS: Items were developed that aligned to the ICD-11 descriptions and their performance was assessed using data from a community sample (N = 2058) that was representative of the United Kingdom adult population. RESULTS: Item response theory models indicated that the two scales were unidimensional, and the items performed well in terms of difficulty and discrimination. Estimates of internal reliability were high. Based on ICD-11 derived diagnostic algorithms, 7.4% met requirements for ICD-11 Depressive Episode and 7.1% for Generalized Anxiety Disorder. CONCLUSIONS: The IDQ and the IAQ are short, easy to use, self-report measures aligned to the new and updated ICD-11 diagnostic descriptions. This study provides initial evidence that the scales produce scores that are reliable and valid.

Prevalence and predictors of ICD-11 posttraumatic stress disorder and complex PTSD in young people.

OBJECTIVE: The prevalence, construct validity, risk factors and psychopathological correlates associated with ICD-11 posttraumatic stress disorder (PTSD) and complex PTSD (CPTSD) as measured by the International Trauma Questionnaire for Children and Adolescents (ITQ-CA) were assessed in a sample of young people from Northern Ireland. METHOD: Participants were trauma-exposed 11-19-year-olds (N = 507) who participated in the Northern Ireland Youth Wellbeing Prevalence Survey (YWS-NI, 2020). Factor mixture modelling (FMM) was used to test the latent structure of the ITQ-CA. Risk-factors and psychopathological correlates associated with latent class membership, and ICD-11diagnostic status, were also investigated. RESULTS: More participants met the ITQ-CA criteria for CPTSD (3.4%, n = 44) than PTSD (1.5%, n = 19). A second-order FMM comprising a 'partial-PTSD class', a 'CPTSD class', a 'DSO class' and a 'low symptom endorsement class' was the best-fitting model. Younger age and cumulative trauma were risk factors for all trauma classes. Female gender and two or more violent traumas were significant predictors of the 'PTSD' and 'CPTSD' classes, while single sexual trauma was a significant predictor of the 'DSO' and 'CPTSD' classes. Two or more sexual traumas was a unique predictor of 'CPTSD class', while two or more vicarious traumas was a unique predictor of 'DSO class'. The 'CPTSD' class displayed the most notable comorbidity. CONCLUSIONS: Findings indicate that CPTSD may be more prevalent than PTSD in children and young people. Support for the ICD-11 conceptualisation of CPTSD as representing a unique diagnostic construct was supported using FMM, with findings indicating trauma symptom class-specific risk profiles.

Measurement invariance of the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder scale (GAD-7) across four European countries during the COVID-19 pandemic.

BACKGROUND: The Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder scale (GAD-7) are self-report measures of major depressive disorder and generalised anxiety disorder. The primary aim of this study was to test for differential item functioning (DIF) on the PHQ-9 and GAD-7 items based on age, sex (males and females), and country. METHOD: Data from nationally representative surveys in UK, Ireland, Spain, and Italy (combined N = 6,054) were used to fit confirmatory factor analytic and multiple-indictor multiple-causes models. RESULTS: Spain and Italy had higher latent variable means than the UK and Ireland for both anxiety and depression, but there was no evidence for differential items functioning. CONCLUSIONS: The PHQ-9 and GAD-7 scores were found to be unidimensional, reliable, and largely free of DIF in data from four large nationally representative samples of the general population in the UK, Ireland, Italy and Spain.

The role of psychosocial factors in explaining sex differences in major depression and generalized anxiety during the COVID-19 pandemic.

BACKGROUND: Understanding how pandemics differentially impact on the socio-protective and psychological outcomes of males and females is important to develop more equitable public health policies. We assessed whether males and females differed on measures of major depression and generalized anxiety during the COVID-19 the pandemic, and if so, which sociodemographic, pandemic, and psychological variables may affect sex differences in depression and anxiety. METHODS: Participants were a nationally representative sample of Irish adults (N = 1,032) assessed between April 30th to May 19th, 2020, during Ireland's first COVID-19 nationwide quarantine. Participants completed self-report measures of anxiety (GAD-7) and depression (PHQ-9), as well as 23 sociodemographic pandemic-related, and psychological variables. Sex differences on measures of depression and anxiety were assessed using binary logistic regression analysis and differences in sociodemographic, pandemic, and psychological variables assessed using chi-square tests of independence and independent samples t-tests. RESULTS: Females were significantly more likely than males to screen positive for major depressive disorder (30.6% vs. 20.7%; χ2 (1) = 13.26, p < .001, OR = 1.69 [95% CI = 1.27, 2.25]), and generalised anxiety disorder (23.3% vs. 14.4%; χ2 (1) = 13.42, p < .001, OR = 1.81 [95% CI = 1.31, 2.49]). When adjusted for all other sex-varying covariates however, sex was no longer significantly associated with screening positive for depression (AOR = 0.80, 95% CI = 0.51, 1.25) or GAD (AOR = 0.97, 95% CI = 0.60, 1.57). CONCLUSION: Observed sex-differences in depression and anxiety during the COVID-19 pandemic in the Republic of Ireland are best explained by psychosocial factors of COVID-19 related anxiety, trait neuroticism, lower sleep quality, higher levels of loneliness, greater somatic problems, and, in the case of depression, increases in childcaring responsibilities and lower trait consciousnesses. Implications of these findings for public health policy and interventions are discussed.

Modelling the complexity of pandemic-related lifestyle quality change and mental health: an analysis of a nationally representative UK general population sample.

PURPOSE: The COVID-19 pandemic has affected the way many individuals go about their daily lives. This study attempted to model the complexity of change in lifestyle quality as a result of the COVID-19 pandemic and its context within the UK adult population. METHODS: Data from the COVID-19 Psychological Research Consortium Study (Wave 3, July 2020; N = 1166) were utilised. A measure of COVID-19-related lifestyle change captured how individuals' lifestyle quality had been altered as a consequence of the pandemic. Exploratory factor analysis and latent profile analysis were used to identify distinct lifestyle quality change subgroups, while multinomial logistic regression analysis was employed to describe class membership. RESULTS: Five lifestyle dimensions, reflecting partner relationships, health, family and friend relations, personal and social activities, and work life, were identified by the EFA, and seven classes characterised by distinct patterns of change across these dimensions emerged from the LPA: (1) better overall (3.3%), (2) worse except partner relations (6.0%), (3) worse overall (2.5%), (4) better relationships (9.5%), (5) better except partner relations (4.3%), (6) no different (67.9%), and (7) worse partner relations only (6.5%). Predictor variables differentiated membership of classes. Notably, classes 3 and 7 were associated with poorer mental health (COVID-19 related PTSD and suicidal ideation). CONCLUSIONS: Four months into the pandemic, most individuals' lifestyle quality remained largely unaffected by the crisis. Concerningly however, a substantial minority (15%) experienced worsened lifestyles compared to before the pandemic. In particular, a pronounced deterioration in partner relations seemed to constitute the more severe pandemic-related lifestyle change.

How is loneliness related to anxiety and depression: A population-based network analysis in the early lockdown period.

High risk of mental health problems is associated with loneliness resulting from social distancing measures and "lockdowns" that have been imposed globally due to the COVID-19 pandemic. This study explores the interconnectedness of loneliness, anxiety and depression on a symptom level using network analysis. A representative sample of participants (N = 1041), who were of at least 18 years of age, was recruited from the Republic of Ireland (ROI). Loneliness, anxiety and depression were assessed using validated instruments. Network analysis was used to identify the network structure of loneliness, anxiety and depression. Loneliness was found to be largely isolated from anxiety and depression nodes in the network. Anxiety and depression were largely interconnected. "Trouble relaxing," "feeling bad about oneself" and "not being able to stop or control worrying" were suggested as the most influential nodes of the network. Despite the expectation that loneliness would be implicated more robustly in the anxiety and depression network of symptoms, the results suggest loneliness as a distinct construct that is not interwoven with anxiety and depression.

How does the COVID-19 pandemic impact on population mental health? A network analysis of COVID influences on depression, anxiety and traumatic stress in the UK population.

BACKGROUND: The coronavirus disease 2019 (COVID-19) emergency has led to numerous attempts to assess the impact of the pandemic on population mental health. The findings indicate an increase in depression and anxiety but have been limited by the lack of specificity about which aspects of the pandemic (e.g. viral exposure or economic threats) have led to adverse mental health outcomes. METHODS: Network analyses were conducted on data from wave 1 (N = 2025, recruited 23 March-28 March 2020) and wave 2 (N = 1406, recontacts 22 April-1 May 2020) of the COVID-19 Psychological Research Consortium Study, an online longitudinal survey of a representative sample of the UK adult population. Our models included depression (PHQ-9), generalized anxiety (GAD-7) and trauma symptoms (ITQ); and measures of COVID-specific anxiety, exposure to the virus in self and close others, as well as economic loss due to the pandemic. RESULTS: A mixed graphical model at wave 1 identified a potential pathway from economic adversity to anxiety symptoms via COVID-specific anxiety. There was no association between viral exposure and symptoms. Ising network models using clinical cut-offs for symptom scores at each wave yielded similar findings, with the exception of a modest effect of viral exposure on trauma symptoms at wave 1 only. Anxiety and depression symptoms formed separate clusters at wave 1 but not wave 2. CONCLUSIONS: The psychological impact of the pandemic evolved in the early phase of lockdown. COVID-related anxiety may represent the mechanism through which economic consequences of the pandemic are associated with psychiatric symptoms.

Network Analysis of Posttraumatic Stress Experiences of Adults Seeking Psychological Treatment for Childhood Sexual Abuse.

Network analysis proposes that mental disorders may best be construed as causal systems embodied in networks of functionally interconnected symptoms. We employed network analysis to test how adult survivors of childhood sexual abuse (CSA) experienced symptoms of posttraumatic stress, using alternative conceptualizations of posttraumatic stress disorder (PTSD). Given the characteristics of the sample (i.e., the nature of and time since trauma), we hypothesized that (a) symptoms related to arousal would not be prominent in the networks and (b) symptoms related to negative alternations in cognition and mood (NACM) would be core components in the network. Danish adults seeking psychological treatment for CSA (n = 473) completed the Harvard Trauma Questionnaire and Trauma Symptom Checklist. Three alternative models (DSM-5, DSM-5 with dissociation, and ICD-11 complex PTSD [CPTSD]) were estimated using regularized partial correlation models. In the DSM-5 network, strong associations emerged for experiences of NACM (blame and guilt) and intrusions (thoughts and flashbacks). The addition of "depersonalization" and "derealization" to the DSM-5 model produced a strong association, but these experiences were largely unrelated to other PTSD clusters. In the CPTSD network, interpersonal problems and negative self-concept were central to the survivors' experiences. For this highly-specific survivor group who experienced traumatic CSA many years ago, experiences related to NACM appeared to be more central to the posttrauma experience than those of arousal. If replicated, these findings could help inform treatment plans for specific groups of survivors. Methodological implications as to the usefulness of network models in the psychopathological research literature are discussed.

Posttraumatic Stress Symptoms and Associated Comorbidity During the COVID-19 Pandemic in Ireland: A Population-Based Study.

The prevalence of posttraumatic stress disorder (PTSD) as it relates to individuals' experiences of the COVID-19 pandemic has yet to be determined. This study was conducted to determine rates of COVID-19-related PTSD in the Irish general population, the level of comorbidity with depression and anxiety, and the sociodemographic risk factors associated with COVID-19-related PTSD. A nationally representative sample of adults from the general population of the Republic of Ireland (N = 1,041) completed self-report measures of all study variables. The rate of COVID-19-related PTSD was 17.7% (n = 184), 95% CI [15.35%, 19.99%], and there was a high level of comorbidity with generalized anxiety (49.5%) and depression (53.8%). Meeting the diagnostic requirement for COVID-19-related PTSD was associated with younger age, male sex, living in a city, living with children, moderate and high perceived risk of COVID-19 infection, and screening positive for anxiety or depression. Posttraumatic stress symptoms related to the COVID-19 pandemic are common in the general population. Our results show that health professionals responsible for responding to the COVID-19 pandemic should expect to routinely encounter symptoms and concerns related to posttraumatic stress.

Co-occurring internalizing and externalizing psychopathology in childhood and adolescence: a network approach.

The network approach suggests that psychopathology arises from complex associations between symptoms and may offer insight into the mechanisms that underpin psychiatric comorbidities. The transition from childhood to adolescence is a key period in the development of psychopathology, yet has rarely been considered from a network perspective. As such, the present study examined the network structure of internalizing and externalizing psychopathology from middle childhood through adolescence using data from the Avon Longitudinal Study of Parents and Children (ALSPAC; n = 4405). Eight DSM-IV disorders were assessed using maternal reports when children were aged 7.5, 10.5 and 14 years. Weighted, undirected networks were estimated and the relative importance of each node was assessed using three common measures of node centrality; strength, betweenness, and closeness. A consistent network structure emerged at all three time points; nodes clustered together in two regions of space broadly reflecting the internalizing and externalizing spectra. Permutation tests supported structural invariance across this developmental period. These spectra were bridged by numerous disorder-level interactions, the most consistent of which was between depression and oppositional defiant disorder (ODD). Furthermore, inspection of the centrality indices indicated that generalised anxiety disorder and ODD were the most central disorders in the networks. These findings demonstrate that symptom/disorder-level interplay and reciprocal influence are plausible mechanisms for the association between internalizing and externalizing psychopathology in childhood/adolescence.

Preliminary Findings of a New Primary and Community Care Psychological Service in Northern Ireland: Low-Intensity Cognitive Behavioural Therapy for Common Mental Health Difficulties.

BACKGROUND: The prevalence of mental health difficulties in Northern Ireland (NI) is significantly higher than in England. In recent years, there have been extensive consultations, and subsequent recommendations made in NI in an effort to address this. AIMS: The current study aims to evaluate the effectiveness of an 'Improving Access to Psychological Therapies' (IAPT) stepped care service model using low-intensity cognitive behavioural therapy (LI-CBT) in primary and community care settings. METHOD: A pilot intervention trial design utilized two standardized outcome measures (PHQ-9 and GAD-7) before treatment (at baseline), during treatment (in every session) and at discharge (at final session). RESULTS: Preliminary reliable change outcomes for the pilot cohorts showed a recovery rate of 47.9%, improvement rate of 76.7% and deterioration rate of 6%. CONCLUSIONS: These findings suggest that the IAPT service model is clinically effective in the NI population. Data collection for the larger study was completed in December 2017. Future analyses will include follow-up data collected at 4 months post-treatment, and will also aim to identify individual and service level factors that potentially impact treatment effectiveness.

Rates of voluntary and compulsory psychiatric in-patient treatment in England: an ecological study investigating associations with deprivation and demographics.

BACKGROUND: Individual variables and area-level variables have been identified as explaining much of the variance in rates of compulsory in-patient treatment. AIMS: To describe rates of voluntary and compulsory psychiatric in-patient treatment in rural and urban settings in England, and to explore the associations with age, ethnicity and deprivation. METHOD: Secondary analysis of 2010/11 data from the Mental Health Minimum Dataset. RESULTS: Areas with higher levels of deprivation had increased rates of in-patient treatment. Areas with high proportions of adults aged 20-39 years had the highest rates of compulsory in-patient treatment as well as the lowest rates of voluntary in-patient treatment. Urban settings had higher rates of compulsory in-patient treatment and ethnic density was associated with compulsory treatment in these areas. After adjusting for age, deprivation and urban/rural setting, the association between ethnicity and compulsory treatment was not statistically significant. CONCLUSIONS: Age structure of the adult population and ethnic density along with higher levels of deprivation can account for the markedly higher rates of compulsory in-patient treatment in urban areas.