Search

Objective: To assess the accuracy of WMH-ICS online screening scales for evaluating four common mental disorders (Major Depressive Episode[MDE], Mania/Hypomania[M/H], Panic Disorder[PD], Generalized Anxiety Disorder[GAD]) and suicidal thoughts and behaviors[STB] used in the UNIVERSAL project., Methods: Clinical diagnostic reappraisal was carried out on a subsample of the UNIVERSAL project, a longitudinal online survey of first year Spanish students (18-24 years old), part of the WHO World Mental Health-International College Student (WMH-ICS) initiative. Lifetime and 12-month prevalence of MDE, M/H, PD, GAD and STB were assessed with the Composite International Diagnostic Interview-Screening Scales [CIDI-SC], the Self-Injurious Thoughts and Behaviors Interview [SITBI] and the Columbia-Suicide Severity Rating Scale [C-SSRS]. Trained clinical psychologists, blinded to responses in the initial survey, administered via telephone the Mini-International Neuropsychiatric Interview [MINI]. Measures of diagnostic accuracy and McNemar χ2 test were calculated. Sensitivity analyses were conducted to maximize diagnostic capacity., Results: A total of 287 students were included in the clinical reappraisal study. For 12-month and lifetime mood disorders, sensitivity/specificity were 67%/88.6% and 65%/73.3%, respectively. For 12-month and lifetime anxiety disorders, these were 76.8%/86.5% and 59.6%/71.1%, and for 12-month and lifetime STB, 75.9%/94.8% and 87.2%/86.3%. For 12-month and lifetime mood disorders, anxiety disorders and STB, positive predictive values were in the range of 18.1-55.1% and negative predictive values 90.2-99.0%; likelihood ratios positive were in the range of 2.1-14.6 and likelihood ratios negative 0.1-0.6. All outcomes showed adequate areas under the curve [AUCs] (AUC>0.7), except M/H and PD (AUC = 0.6). Post hoc analyses to select optimal diagnostic thresholds led to improved concordance for all diagnoses (AUCs>0.8)., Conclusion: The WMS-ICS survey showed reasonable concordance with the MINI telephone interviews performed by mental health professionals, when utilizing optimized cut-off scores. The current study provides initial evidence that the WMS-ICS survey might be useful for screening purposes., Competing Interests: In the past 3 years, Dr. Kessler received support for his epidemiological studies from Sanofi Aventis; was a consultant for Johnson & Johnson Wellness and Prevention, Shire, Takeda; and served on an advisory board for the Johnson & Johnson Services Inc. Lake Nona Life Project. Kessler is a co-owner of DataStat, Inc., a market research firm that carries out healthcare research. Dr. Roca received research funds from Lundbeck and Janssen. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Despite the consensus achieved in the homogenization of clinical criteria by categorical psychiatric classification systems (DEM and CIE), they are criticized for a lack of validity and inability to guide clinical treatment and research. In this review article we introduce the Research Domain Criteria (RDoC) framework as an alternative framework for translational research in psychiatry. The RDOC framework systematizes both research targets and methodology for research in psychiatry. RDoC is based on a catalogue of neurobiological and neurocognitive evidence of behaviour, and conceives psychopathology as the phenotypic expression of alterations of functional domains that are classified into 5psychobiological systems. The RdoC framework also proposes that domains must be validated with evidence in 7levels of analysis: genes, molecules, cells, nerve circuits, physiology, behaviour and self-reports. As opposed to categorical systems focused on diagnosis, RDoC focuses on the study of psychopathology as a correlate of detectable functional, biological and behavioural disruption of normal processes. In order to build a useful psychiatric nosology for guiding clinical interventions, the RDoC research framework links the neurobiological basis of mental processes with phenotypical manifestations. Although the RDoC findings have not yet been articulated into a specific model for guiding clinical practice, they provide a useful transition system for creating clinical, basic and epidemiological research hypotheses., (Copyright © 2018 SEP y SEPB. Publicado por Elsevier España, S.L.U. All rights reserved.)

Developmental studies of mental disorders based on epidemiological data are often based on cross-sectional retrospective surveys. Under such designs, observations are right-censored, causing underestimation of lifetime prevalences and correlations, and inducing bias in latent trait models on the observations. In this paper we propose a Partial Likelihood (PL) method to estimate unbiased IRT models of lifetime predisposition to develop a certain outcome. A two-step estimation procedure corrects the IRT likelihood of outcome appearance with a function depending on (a) projected outcome frequencies at the end of the risk period, and (b) outcome censoring status at the time of the observation. Simulation results showed that the PL method yielded good recovery of true frequencies and intercepts. Slopes were best estimated when events were sufficiently correlated. When PL is applied to lifetime mental health disorders (assessed in the ESEMeD project surveys), estimated univariate prevalences were, on average, 1.4 times above raw estimates, and 2.06 higher in the case of bivariate prevalences.

Objectives: To propose a multidimensional item response theory (MIRT) scoring system for the Short Form 12 (SF-12) with good psychometric properties in terms of fit and reliability., Study Design and Settings: Two models, indicating physical (PCS) and mental component summary (MCS) dimensions, were fitted to SF-12 data from the European Study of the Epidemiology of Mental Disorders, a representative sample from European adult general population (n=21,425; response rate=61.2%). Goodness of fit, information, reliability, and agreement of individual scores were compared with the classical SF-12 and RAND-12 algorithms., Results: The bidimensional response process (BRP) model, where all items are indicators of both dimensions, yielded the best fit (root mean square error of approximation=0.057, comparative fit index=0.95, and Tucker-Lewis index=0.94), and highly agreed with PCS and MCS scores from the SF-12 (intraclass correlation coefficients of 0.92 and 0.88, respectively) and RAND-12 (0.88 and 0.95). Regarding reliability, the BRP yielded 0.75 and 0.77 (PCS and MCS, respectively), greater than SF-12 (0.65 and 0.66) and RAND-12 (0.65 and 0.67). As indicated by scale linking, MIRT scores can be interpreted similarly to the classical scores., Conclusion: The MIRT models showed a clear construct structure for the PCS and MCS dimensions, defined by functional and role limitation content. Results support the use of SF-12 MIRT-based scores as a valid and reliable option to assess health status., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Purpose: Childhood adversities (CAs) have consistently been associated with mental health problems in childhood and adulthood. However, few studies have employed appropriate statistical methods that take into account overlap among CAs, and many of the ones that did so were based on insufficiently complex models. The present paper studies the prevalence of a wide variety of CAs, as well as their relationship to the onset of mental disorders in a representative sample of a Spanish population., Methods: The study is part of the ESEMeD-Spain project, a cross-sectional household survey, which included a nationally representative sample of the Spanish adult population. CAs' associations with lifetime prevalence of mental disorders were estimated using discrete-time survival analysis with person-years as the unit of analysis., Results: Of our sample, 20.6% reported at least one CA, of whom 24% reported more than one CA. Parental death, parental mental disorder, family violence, economic adversity, physical and sexual abuse were associated with different groups of mental disorders. CAs were associated with the onset of mental disorders during several stages of life. Simulations suggest that CAs were associated with 12.6% of all disorders, 10.8% of mood disorders, 5.8% of anxiety disorders, 27% of substance disorders and 29.7% of externalising disorders., Conclusions: Prevalences of CAs in the Spanish population are lower than those found in other high-income countries, especially when compared to the USA. In Spain, different CAs were associated with the onset of a number of mental disorders, although these associations were not as frequent as in other countries. Although lower than in other countries, the association between CAs and mental health in Spain should be considered relevant. Specific health policies and prevention programmes are needed in order to decrease this burden.

Epidemiological studies on mental health and mental comorbidity are usually based on prevalences and correlations between disorders, or some other form of bivariate clustering of disorders. In this paper, we propose a Factor Mixture Model (FMM) methodology based on conceptual models aiming to measure and summarize distinctive disorder information in the internalizing and externalizing dimensions. This methodology includes explicit modelling of subpopulations with and without 12 month disorders ("ill" and "healthy") by means of latent classes, as well as assessment of model invariance and estimation of dimensional scores. We applied this methodology with an internalizing/externalizing two-factor model, to a representative sample gathered in the European Study of the Epidemiology of Mental Disorders (ESEMeD) study -- which includes 8796 individuals from six countries, and used the CIDI 3.0 instrument for disorder assessment. Results revealed that southern European countries have significantly higher mental health levels concerning internalizing/externalizing disorders than central countries; males suffered more externalizing disorders than women did, and conversely, internalizing disorders were more frequent in women. Differences in mental-health level between socio-demographic groups were due to different proportions of healthy and ill individuals and, noticeably, to the ameliorating influence of marital status on severity. An advantage of latent model-based scores is that the inclusion of additional mental-health dimensional information -- other than diagnostic data -- allows for greater precision within a target range of scores., (Copyright © 2011 John Wiley & Sons, Ltd.)

Abstract: Objectives: To evaluate the performance of the Mental Component of the Short-Form 12 Health Survey, Version 1(SF-12v1), as a screening measure of depressive disorders. Methods: Data come from the European Study of the Epidemiology of Mental Disorders (ESEMeD), a cross-sectional survey carried out on representative samples of 21,425 individuals from the noninstitutionalized adult general population of six European countries (response rate = 61.2%). The SF-12 was administered and scored according to three algorithms: the “original” method (mental component summary of SF-12 [MCS-12]), the RAND-12 (RAND-12 Mental Health Composite [RAND-12 MHC]), and the Bidemensional Response Process Model 12 mental health score (BRP-12 MHS), based on a two-factor Item Response Theory graded response model. Thirty-day and 12-month depressive disorders (major depressive episode or dysthymia) were assessed with the Composite International Diagnostic Interview, Version 3.0, by using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria. Receiver operating characteristic curves analysis was carried out, and optimal cutoff points maximizing balance between sensitivity (SN) and specificity (SP) were chosen for the three methods. Results: Prevalence of 30-day and 12-month depressive disorders in the overall sample was 1.5% and 4.4%, respectively. The area under the curve for 30-day depressive disorders was 0.92, and it decreased to 0.85 for 12-month disorders, regardless of the scoring method. Optimal cutoff for 30-day depressive disorders was 45.6 (SN = 0.86; SP = 0.88) for the MCS-12, 44.5 for the RAND-12 MHC (SN = 0.87, SP = 0.86), and 40.2 for the BRP-12 MHS (SN = 0.87, SP = 0.87). The selected 12-month cutoffs for MCS-12 and RAND-12 MHC were between 4.2 and 5.8 points below the general population means of each country, with SN range 0.67 to 0.78 and SP range 0.77 to 0.87. Conclusions: The SF-12 yielded acceptable results for detecting both active and recent depressive disorders in general population samples, suggesting that the questionnaire could be used as a useful screening tool for monitoring the prevalence of affective disorders and for targeting treatment and prevention. [Copyright &y& Elsevier]