Miguel Xavier

Family burden and coping strategies in schizophrenia: 1-year follow-up data from the BIOMED I study

Background: To date, only few data are available on how family burden in schizophrenia changes over time. In addition, no study has explored how such factors as coping styles and social support influence burden over time. This paper presents the 1-year follow-up data from the BIOMED I study on family burden and coping strategies in schizophrenia. Methods: A sample of 159 relatives of patients with schizophrenia living in five European countries was followed up prospectively for 1 year with regard to burden and coping strategies, using validated questionnaires. Results: In the sample as a whole, the burden was stable. A reduction of family burden over time was found among relatives who adopted less emotion-focused coping strategies and received more practical support from their social network. In addition, family burden decreased in relation to the improvement of patients social functioning. Conclusions: When relatives of patients with schizophrenia are able to improve their coping strategies, it is possible for burden to be reduced even after several years. This points to the necessity to provide families of chronic psychotic patients with psychoeducational interventions emphasising the adoption of an effective coping style.

Prediction of depression in European general practice attendees: the PREDICT study

BackgroundPrevention of depression must address multiple risk factors. Estimating overall risk across a range of putative risk factors is fundamental to prevention of depression. However, we lack reliable and valid methods of risk estimation. This protocol paper introduces PREDICT, an international research study to address this risk estimation.Methods/designThis is a prospective study in which consecutive general practice attendees in six European countries are recruited and followed up after six and 12 months. Prevalence of depression is assessed at baseline and each follow-up point. Consecutive attendees between April 2003 and September 2004 who were aged 18 to 75 were asked to take part. The possibility of a depressive episode was assessed using the Depression Section of the Composite International Diagnostic Interview. A selection of presumed risk factors was based on our previous work and a systematic review of the literature. It was necessary to evaluate the test-retest reliability of a number of risk factor questions that were developed specifically, or adapted, for the PREDICT study. In a separate reliability study conducted between January and November 2003, consecutive general practice attendees in the six participating European countries completed the risk factor items on two occasions, two weeks apart. The overall response rate at entry to the study was 69%. We exceeded our expected recruitment rate, achieving a total of 10,048 people in all. Reliability coefficients were generally good to excellent.DiscussionResponse rate to follow-up in all countries was uniformly high, which suggests that prediction will be based on almost a full cohort. The results of our reliability analysis are encouraging and suggest that data collected during the course of PREDICT will have a satisfactory level of stability. The development of a multi-factor risk score for depression will lay the foundation for future research on risk reduction in primary care. Our data will also provide the necessary evidence base on which to develop and evaluate interventions to reduce the prevalence of depression.

Social and clinical factors influencing the choice of coping strategies in relatives of patients with schizophrenia: results of the BIOMED I study

Abstract The impact of social and clinical factors on the choice of coping strategies of a sample of 236 relatives of patients with schizophrenia, living in five European countries, was explored using well-validated questionnaires. The adoption of problem-focused coping strategies was more frequent among young relatives and among relatives of younger patients, and was associated with higher levels of practical and emotional social support and of professional help. In contrast, emotion-focused strategies were more frequently adopted by relatives who had been living longer with the patient and who had poorer social support. It is suggested that supportive and educational interventions should be provided as early as possible to relatives of patients with schizophrenia, which, in addition to having a practical focus, should also have a social focus, aiming at extending the familys social network.

Implementing the World Mental Health Survey Initiative in Portugal - rationale, design and fieldwork procedures.

BackgroundThe World Mental Health Survey Initiative was designed to evaluate the prevalence, the correlates, the impact and the treatment patterns of mental disorders. This paper describes the rationale and the methodological details regarding the implementation of the survey in Portugal, a country that still lacks representative epidemiological data about psychiatric disorders.MethodsThe World Mental Health Survey is a cross-sectional study with a representative sample of the Portuguese population, aged 18 or older, based on official census information. The WMH-Composite International Diagnostic Interview, adapted to the Portuguese language by a group of bilingual experts, was used to evaluate the mental health status, disorder severity, impairment, use of services and treatment. Interviews were administered face-to-face at respondent’s dwellings, which were selected from a nationally representative multi-stage clustered area probability sample of households. The survey was administered using computer-assisted personal interview methods by trained lay interviewers. Data quality was strictly controlled in order to ensure the reliability and validity of the collected information.ResultsA total of 3,849 people completed the main survey, with 2,060 completing the long interview, with a response rate of 57.3%. Data cleaning was conducted in collaboration with the WMHSI Data Analysis Coordination Centre at the Department of Health Care Policy, Harvard Medical School. Collected information will provide lifetime and 12-month mental disorders diagnoses, according to the International Classification of Diseases and to the Diagnostic and Statistical Manual of Mental Disorders.ConclusionsThe findings of this study could have a major influence in mental health care policy planning efforts over the next years, specially in a country that still has a significant level of unmet needs regarding mental health services organization, delivery of care and epidemiological research.

Recent life events pose greatest risk for onset of major depressive disorder during mid-life.

Background The authors examined an additive model for the association of life events and age with onset of major depressive disorder (MDD) and whether the combination of life events and age posed greater risk than the sum of their independent effects. Methods Data were used from a prospective cohort study of 10,045 general practice attendees (PredictD). We included those without MDD at baseline (N = 8293). We examined age divided into tertiles and into 10 year groups. Life events were assessed at baseline using the List of Threatening Life Experiences Questionnaire and categorized according to type. Main outcome measure was onset of DSM-IV MDD at 6 or 12 months of follow-up. The authors calculated Relative Excess Risks due to Interaction (RERI). Results 6910 persons (83.3%) had a complete follow-up, of whom 589 (8.5%) had an onset of MDD (166 younger, 254 middle aged and 169 older). The combined effect of personal problems (RERI = 1.30; 95% CI 0.29 to 2.32), events in family or friends (RERI = 1.23; 95% CI 0.28 to 2.19), or problems with law (RERI = 1.57; 95% CI 0.33 to 2.82) and middle age was larger than the sum of individual effects. Limitations Lower response to recruitment in the UK and the Netherlands. Conclusions Recent life events carry the largest risk of onset of MDD in mid-life. Understanding the different vulnerability to life events according to age may help to indicate groups at a particular risk and assist in preventive strategies.

An international risk prediction algorithm for the onset of generalized anxiety and panic syndromes in general practice attendees: predictA

BACKGROUNDnThere are no risk models for the prediction of anxiety that may help in prevention. We aimed to develop a risk algorithm for the onset of generalized anxiety and panic syndromes.nnnMETHODnFamily practice attendees were recruited between April 2003 and February 2005 and followed over 24 months in the UK, Spain, Portugal and Slovenia (Europe4 countries) and over 6 months in The Netherlands, Estonia and Chile. Our main outcome was generalized anxiety and panic syndromes as measured by the Patient Health Questionnaire. We entered 38 variables into a risk model using stepwise logistic regression in Europe4 data, corrected for over-fitting and tested it in The Netherlands, Estonia and Chile.nnnRESULTSnThere were 4905 attendees in Europe4, 1094 in Estonia, 1221 in The Netherlands and 2825 in Chile. In the algorithm four variables were fixed characteristics (sex, age, lifetime depression screen, family history of psychological difficulties); three current status (Short Form 12 physical health subscale and mental health subscale scores, and unsupported difficulties in paid and/or unpaid work); one concerned country; and one time of follow-up. The overall C-index in Europe4 was 0.752 [95% confidence interval (CI) 0.724-0.780]. The effect size for difference in predicted log odds between developing and not developing anxiety was 0.972 (95% CI 0.837-1.107). The validation of predictA resulted in C-indices of 0.731 (95% CI 0.654-0.809) in Estonia, 0.811 (95% CI 0.736-0.886) in The Netherlands and 0.707 (95% CI 0.671-0.742) in Chile.nnnCONCLUSIONSnPredictA accurately predicts the risk of anxiety syndromes. The algorithm is strikingly similar to the predictD algorithm for major depression, suggesting considerable overlap in the concepts of anxiety and depression.

Predicting onset of major depression in general practice attendees in Europe: extending the application of the predictD risk algorithm from 12 to 24 months

BACKGROUNDnPredictD is a risk algorithm that was developed to predict risk of onset of major depression over 12 months in general practice attendees in Europe and validated in a similar population in Chile. It was the first risk algorithm to be developed in the field of mental disorders. Our objective was to extend predictD as an algorithm to detect people at risk of major depression over 24 months. Method Participants were 4190 adult attendees to general practices in the UK, Spain, Slovenia and Portugal, who were not depressed at baseline and were followed up for 24 months. The original predictD risk algorithm for onset of DSM-IV major depression had already been developed in data arising from the first 12 months of follow-up. In this analysis we fitted predictD to the longer period of follow-up, first by examining only the second year (12-24 months) and then the whole period of follow-up (0-24 months).nnnRESULTSnThe instrument performed well for prediction of major depression from 12 to 24 months [c-index 0.728, 95% confidence interval (CI) 0.675-0.781], or over the whole 24 months (c-index 0.783, 95% CI 0.757-0.809).nnnCONCLUSIONSnThe predictD risk algorithm for major depression is accurate over 24 months, extending it current use of prediction over 12 months. This strengthens its use in prevention efforts in general medical settings.

Differential impact of risk factors for women and men on the risk of major depressive disorder.

Purpose Our aim is to examine which risk factors have a greater impact in women than in men on the risk of major depressive disorder (MDD) and whether factors differ between a possible recurrent MDD and a first onset of MDD. Methods Prospective cohort study of general practice attendees in seven countries, who were followed up at 6 and 12 months (predictD). Absolute risk differences (interaction contrast) across sex for onset of DSM-IV MDD after 6 or 12 months of follow-up were estimated for 35 risk factors from 7101 participants without MDD at baseline. Results A total of 599 participants (80% female) had an onset of MDD at 6 or 12 months. Most risk factors had a greater impact in women than in men on the risk of MDD and were not restricted to a specific class of risk factors. After we stratified for a history of depressive symptoms, we found that the impact of risk factors across sex was generally stronger on possible recurrent MDD than on a first onset of MDD. Conclusions Our findings may partly account for the observed difference in incidence of MDD between men and women.

Risk factors for onset of multiple or long major depressive episodes versus single and short episodes

PurposeMajor depressive disorder may vary according to number and duration of episodes. It is unclear whether risk factors for onset of multiple or long episodes of depression (MDE) differ from risk factors for the onset of single and short ones.MethodsData were used from a cohort study of 5,256 GP attendees without major depressive disorder at baseline, who were followed up three times (predictD). The numbers and duration of MDE were noted and categorized into no episodes, single and short (≤3xa0months), and multiple or long (>3xa0months) episodes at follow-up. Log-binomial regression models were used to calculate relative risks between the groups for 18 risk factors examined at baseline.Results165 persons (3xa0%) had a single and short MDE and 328 (6xa0%) had multiple or long MDE at follow-up. Lower education, anxiety, problems at work and financial strain significantly increased the risk of multiple or long MDE when compared to single and short MDE. Younger people were at reduced risk of multiple or long MDE.ConclusionsOur findings suggest that several risk factors can be identified that may help to predict onset of different types of MDE. These factors are easy to assess and may be used in the prevention of depression.

The influence of clerkship on students' stigma towards mental illness: a meta-analysis.

In university programmes preparing students to work with patients with mental illness, clerkship is proposed as a component that may contribute to the battle against stigma, through bringing students into contact with the patients’ reality. Yet, the precise contribution of clerkship remains unclear, perhaps because of the variety of university programmes, clerkship characteristics or types of stigma explored. This is the first systematic meta‐analysis of available evidence determining the precise effect size of the influence of clerkship on stigma and the potential moderators.