859 resultados para COMMON MENTAL DISORDERS


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A Depressão na infância e adolescência, tal como na população adulta, é uma das perturbações mentais mais comuns. Uma vez que o seu aparecimento nestas faixas etárias conduz a graves consequências na idade adulta, é fundamental identificar os sintomas depressivos precocemente. Desta forma, os instrumentos de autorrelato têm um papel fundamental, uma vez que permitem com facilidade, de forma fidedigna e válida, ter acesso a formas de pensar, sentir e agir dos sujeitos. O objetivo do presente trabalho consistiu na tradução, adaptação e estudo da Center for Epidemiological Studies Depression Scale for Children (CES-DC) (Weissman, Orvash & Padian, 1980) para os adolescentes portugueses. A amostra é constituída por 417 adolescentes, com idades compreendidas entre os 12 e os 18 anos a frequentar o 3º ciclo do ensino básio e ensino secundário. Para o estudo da validade convergente e divergente da CES-DC, foram utilizados a Depression Anxiety Stress Scales (DASS 21) (Lovibond & Lovibond, 1995), o Children's Depresssion Inventory (CID) (Marujo, 1994) e a Students' Life Satisfaction Scale (SLSS) (Marques, Pais-Ribeiro & Lopez, 2007) que avaliam, respetivamente, os estados emocionais negativos (depressão, ansiedade e stress), a sintomatologia depressiva e a satisfação global com a vida. Os resultados obtidos mostram que a escala possui uma boa consistência interna, uma estabilidade temporal adequada, assim como uma boa validade. Sugerem, ainda, tratar-se de uma escala tridimensional: fator humor, fator interpessoal e fator felicidade. Estes dados permitem o avanço da Psicologia, no que diz respeito à avaliação e prática clínica com adolescentes. A utilidade do questionário deve ser verificada noutras faixas etárias, principalmente, nas de menos de 12 anos de idade, e também numa amostra clínica. Não obstante as limitações apontadas, os resultados sugerem que a CES-DC é um questionário útil na avaliação de sintomas depressivos nos adolescentes. / Depression in children and adolescents, as well as in adults, is one of the most common mental disorders. Since its appearance in these age groups leads to serious consequences in adulthood, it is critical to identify depressive symptoms in early stages. Therefore, self-report instruments play a key role in this contexto since they allow to easily, reliably and validly have access to ways the subject thinks, feels and acts. The aim of this study was to translate, adapt and study the Center for Epidemiological Studies Depression Scale for Children (CES-DC) (Weissman, Orvash & Padian, 1980) for portuguese adolescents. The sample consists of 417 adolescents, aged between 12 and 18 years old, attending the 3rd cycle of basic education and secondary education schools. To study the convergent and divergent validity of the CES-DC, the Depression Anxiety Stress Scales (DASS 21) (Lovibond & Lovibond, 1995) was used, along with the Children's depression Inventory (CDI) (Sailor, 1994) and the Students' Life Satisfaction Scale (SLSS) (Marques, Pais-Ribeiro & Lopez, 2007) that evaluate, respectively, the negative emotional states (depression, anxiety and stress), depressive symptoms and overall satisfaction with life. The results show that the evaluated scale presents a good internal consistency, an adequate temporal stability as well as good validity. They also suggest that this is a three-dimensional scale: humor factor, interpersonal factor and happiness factor. These data allow for the progress of psychology, regarding the assessment and clinical practice among adolescents. The usefulness of the questionnaire should be verified in other age groups, especially in children with less than 12 years old and in a clinical sample. Despite these limitations, the results suggest that CES-DC is useful in the assessment questionnaire of depressive symptoms in adolescents.

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Background Little information is available on the prevalence of depression in Malawi in primary health care settings and yet there is increased number of cases of depression presenting at tertiary level in severe form. Aim The aim of the study was to determine the prevalence of depression among patients and its detection by health care workers at a primary health care clinic in Zomba. Methods A cross-sectional survey was done among patients attending outpatient department at Matawale Health Centre, in Zomba from 1st July 2009 through to 31st July 2009. A total of 350 adults were randomly selected using systematic sampling. The “Self Reporting Questionnaire”, a questionnaire measuring social demographic factors and the Structured Clinical Interview for DSM-IV Axis I disorders Non-Patient Version (SCID-NP) were administered verbally to the participants. Findings The prevalence of depression among the patients attending the outpatients department was found to be 30.3% while detection rate of depression by clinician was 0%. Conclusion The results revealed the magnitude of depression which is prevalent in the primary health care clinic that goes undiagnosed and unmanaged. It is therefore recommended that primary health care providers do thorough assessments to address common mental disorders especially depression and they should be educated to recognise and manage depression appropriately at primary care level.

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Antecedentes: la ansiedad y depresión son desórdenes mentales frecuentes en adolescentes con trastornos por consumo de sustancias, siendo crónicos y resistentes al tratamiento, asociándose a una morbilidad significativa. Objetivo general: determinar el nivel de ansiedad y depresión en adolescentes varones con trastornos por consumo de sustancias psicoactivas en el Centro de Adicciones Hogar Crecer. Materiales y métodos: estudio descriptivo, transversal, se recolectó información de 291 historias clínicas, desde el 01 de junio 2011 al 31 de diciembre 2015. La información se registró en un formulario pre-elaborado que incluye: datos sociodemográficos, patrón de consumo y resultados del test de Hamilton para ansiedad y depresión. Los datos se analizaron con el software SPSS 15.0, en las variables cuantitativas y cualitativas se obtuvo frecuencia y porcentaje. Resultados: de las 291 historias clínicas, 230 (79%) adolescentes tenían entre 15 a 19 años y 61 (21%) entre 10 a 14; según el patrón de consumo, 243 (83,5%) presentaron policonsumo. Presentaron ansiedad 263 (90,3%), de los cuales: 51,2% ansiedad leve, 27,8% ansiedad moderada y el 11,3% ansiedad grave, mientras que la depresión se presentó en 271 (93,1%), de los cuales: 32,6% depresión leve, 36,1% depresión moderada, 17,9% depresión grave y 6,5% depresión muy grave. Conclusiones: - La mayoría de los adolescentes eran estudiantes. - Los adolescentes presentaron principalmente policonsumo. - Se encontró una alta frecuencia de ansiedad y depresión. - El nivel de ansiedad que con mayor frecuencia se presentó fue ansiedad leve, mientras que para depresión, el nivel que mayormente se presentó fue depresión moderada

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Substance misuse in people with serious mental disorders is common and has a wideranging negative impact. The multiplicity of problems suggests that this comorbidity is better conceptualized as a type of complex disorder than by ‘dual diagnosis’. Problems with sequential and parallel treatments have led to the development of integrated approaches, with one practitioner or team addressing both the substance use and mental disorder. These treatments are typically characterized by motivation enhancement, minimizing treatment-related stress, emphasizing harm reduction as well as abstinence, and assertive outreach. A review of published randomized trials demonstrates that superior effects to controls are rarely consistent across treatment foci and over time. While motivational interventions assist engagement, more intervention is usually required for integrated treatment programs to improve long-term outcomes more than control conditions. More intensive case management does not consistently improve impact, but extended cognitive-behavioral therapies have promise. Suggestions for maximizing treatment effects and improving research evidence are provided.

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Objective: Substance use is common in first-episode psychosis, and complicates the accurate diagnosis and treatment of the disorder. The differentiation of substance-induced psychotic disorders (SIPD) from primary psychotic disorders (PPD) is particularly challenging. This cross-sectional study compares the clinical, substance use and functional characteristics of substance using first episode psychosis patients diagnosed with a SIPD and PPD. Method: Participants were 61 young people (15-24 years) admitted to a psychiatric inpatient service with first episode psychosis, reporting substance use in the past month. Diagnosis was determined using the Psychiatric Research Interview for DSM-IV Substance and Mental disorders (PRISM-IV). Measures of clinical (severity of psychotic symptoms, level of insight, history of trauma), substance use (frequency/quantity, severity) and social and occupational functioning were also administered. Results: The PRISM-IV differentially diagnosed 56% of first episode patients with a SIPD and 44% with a PPD. Those with a SIPD had higher rates of substance use and disorders, higher levels of insight, were more likely to have a forensic and trauma history and had more severe hostility and anxious symptoms than those with a PPD. Logistic regression analysis indicated a family history of psychosis, trauma history and current cannabis dependence were the strongest predictors of a SIPD. Almost 80% of diagnostic predictions of a SIPD were accurate using this model. Conclusions: This clinical profile of SIPD could help to facilitate the accurate diagnosis and treatment of SIPD versus PPD in young people with first episode psychosis admitted to an inpatient psychiatric service.

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Mental health is a major global health issue. Neuropsychiatric conditions are the most significant cause of disability worldwide, and account for 14% of the global burden of disease. Depression in particular places a huge burden on society, with the Global Burden of Disease 2000 study listing it as the fourth leading cause of disease burden worldwide and the largest non-fatal disease burden. In Australia, mental disorders are startlingly common and related to significant disability. The 2007 National Survey of Mental Health and Wellbeing revealed that the lifetime prevalence of any mental disorder was 45%, and within the last 12 months 20% of Australians met criteria for a mental disorder. Many of the articles in this issue explore mental health issues in young people. Indeed, mental health issues account for a large proportion of the disease burden in young people. Across the globe, mental health disorders caused the greatest number of years lost to disability(YLDs) amongst young people aged 10 to 24 years (45% of total YLDs). Depression caused the highest number of disability-adjusted life-years (DALYs) across this age group, accounting for 8. 2% of DALYs alone.6 It is clear that mental health is a critical area of focus for researchers, practitioners, and policy makers.

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Background We used data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2010 (GBD 2010) to estimate the burden of disease attributable to mental and substance use disorders in terms of disability-adjusted life years (DALYs), years of life lost to premature mortality (YLLs), and years lived with disability (YLDs). Methods For each of the 20 mental and substance use disorders included in GBD 2010, we systematically reviewed epidemiological data and used a Bayesian meta-regression tool, DisMod-MR, to model prevalence by age, sex, country, region, and year. We obtained disability weights from representative community surveys and an internet-based survey to calculate YLDs. We calculated premature mortality as YLLs from cause of death estimates for 1980–2010 for 20 age groups, both sexes, and 187 countries. We derived DALYs from the sum of YLDs and YLLs. We adjusted burden estimates for comorbidity and present them with 95% uncertainty intervals. Findings In 2010, mental and substance use disorders accounted for 183·9 million DALYs (95% UI 153·5 million–216·7 million), or 7·4% (6·2–8·6) of all DALYs worldwide. Such disorders accounted for 8·6 million YLLs (6·5 million–12·1 million; 0·5% [0·4–0·7] of all YLLs) and 175·3 million YLDs (144·5 million–207·8 million; 22·9% [18·6–27·2] of all YLDs). Mental and substance use disorders were the leading cause of YLDs worldwide. Depressive disorders accounted for 40·5% (31·7–49·2) of DALYs caused by mental and substance use disorders, with anxiety disorders accounting for 14·6% (11·2–18·4), illicit drug use disorders for 10·9% (8·9–13·2), alcohol use disorders for 9·6% (7·7–11·8), schizophrenia for 7·4% (5·0–9·8), bipolar disorder for 7·0% (4·4–10·3), pervasive developmental disorders for 4·2% (3·2–5·3), childhood behavioural disorders for 3·4% (2·2–4·7), and eating disorders for 1·2% (0·9–1·5). DALYs varied by age and sex, with the highest proportion of total DALYs occurring in people aged 10–29 years. The burden of mental and substance use disorders increased by 37·6% between 1990 and 2010, which for most disorders was driven by population growth and ageing. Interpretation Despite the apparently small contribution of YLLs—with deaths in people with mental disorders coded to the physical cause of death and suicide coded to the category of injuries under self-harm—our findings show the striking and growing challenge that these disorders pose for health systems in developed and developing regions. In view of the magnitude of their contribution, improvement in population health is only possible if countries make the prevention and treatment of mental and substance use disorders a public health priority.

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Most psychiatric disorders are moderately to highly heritable. The degree to which genetic variation is unique to individual disorders or shared across disorders is unclear. To examine shared genetic etiology, we use genome-wide genotype data from the Psychiatric Genomics Consortium (PGC) for cases and controls in schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). We apply univariate and bivariate methods for the estimation of genetic variation within and covariation between disorders. SNPs explained 17-29% of the variance in liability. The genetic correlation calculated using common SNPs was high between schizophrenia and bipolar disorder (0.68 +/- 0.04 s.e.), moderate between schizophrenia and major depressive disorder (0.43 +/- 0.06 s.e.), bipolar disorder and major depressive disorder (0.47 +/- 0.06 s.e.), and ADHD and major depressive disorder (0.32 +/- 0.07 s.e.), low between schizophrenia and ASD (0.16 +/- 0.06 s.e.) and non-significant for other pairs of disorders as well as between psychiatric disorders and the negative control of Crohn's disease. This empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.

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The prevalence and assessment of neuroleptic-induced movement disorders (NIMDs) in a naturalistic schizophrenia population that uses conventional neuroleptics were studied. We recruited 99 chronic schizophrenic institutionalized adult patients from a state nursing home in central Estonia. The total prevalence of NIMDs according to the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) was 61.6%, and 22.2% had more than one NIMD. We explored the reliability and validity of different instruments for measuring these disorders. First, we compared DSM-IV with the established observer rating scales of Barnes Akathisia Rating Scale (BARS), Simpson-Angus Scale (SAS) (for neuroleptic-induced parkinsonism, NIP) and Abnormal Involuntary Movement Scale (AIMS) (for tardive dyskinesia), all three of which have been used for diagnosing NIMD. We found a good overlap of cases for neuroleptic-induced akathisia (NIA) and tardive dyskinesia (TD) but somewhat poorer overlap for NIP, for which we suggest raising the commonly used threshold value of 0.3 to 0.65. Second, we compared the established observer rating scales with an objective motor measurement, namely controlled rest lower limb activity measured by actometry. Actometry supported the validity of BARS and SAS, but it could not be used alone in this naturalistic population with several co-existing NIMDs. It could not differentiate the disorders from each other. Quantitative actometry may be useful in measuring changes in NIA and NIP severity, in situations where the diagnosis has been made using another method. Third, after the relative failure of quantitative actometry to show diagnostic power in a naturalistic population, we explored descriptive ways of analysing actometric data, and demonstrated diagnostic power pooled NIA and pseudoakathisia (PsA) in our population. A subjective question concerning movement problems was able to discriminate NIA patients from all other subjects. Answers to this question were not selective for other NIMDs. Chronic schizophrenia populations are common worldwide, NIMD affected two-thirds of our study population. Prevention, diagnosis and treatment of NIMDs warrant more attention, especially in countries where typical antipsychotics are frequently used. Our study supported the validity and reliability of DSM-IV diagnostic criteria for NIMD in comparison with established rating scales and actometry. SAS can be used with minor modifications for screening purposes. Controlled rest lower limb actometry was not diagnostically specific in our naturalistic population with several co-morbid NIMDs, but it may be sensitive in measuring changes in NIMDs.

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Very few studies have quantified the level of agreement among alternative diagnostic procedures that use a common set of fixed operational criteria. The authors examined the procedural validity of four independent methods of assigning DSM-III-R diagnoses of psychotic disorders. METHOD: The research was conducted as a satellite study to the DSM-IV Field Trial for Schizophrenia and Related Psychotic Disorders. The setting was the National Health and Medical Research Council Schizophrenia Research Unit's Early Psychosis Prevention and Intervention Centre, which focuses on first-episode psychosis. Consecutively admitted patients (N = 50) were assessed by independent raters who used four different procedures to determine a DSM-III-R diagnosis. These procedures were 1) the diagnostic instrument developed for the DSM-IV field trial, 2) the Royal Park Multidiagnostic Instrument for Psychosis, 3) the Munich Diagnostic Checklists, and 4) a consensus DSM-III-R diagnosis assigned by a team of clinician researchers who were expert in the use of diagnostic criteria. RESULTS: Concordance between pairs of diagnostic procedures was only moderate. Corresponding levels of percent agreement, however, ranged from 66% to 76%, with converse misclassification rates of 24%-34% (assuming one procedure to be "correct"). CONCLUSIONS: These findings have significant research and clinical implications. Despite the introduction of operationally defined diagnoses, there remained an appreciable level of differential classification or misclassification arising from variability in the method of assigning the diagnostic criteria rather than the criteria themselves. Such misclassification may impede neurobiological research and have harmful clinical effects on patients with first-episode psychosis.

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This article introduces the role economics can play in deciding whether programs designed to prevent mental disorders, which carry large disease and economic burdens, are a worthwhile use of limited healthcare resources. Fortunately, preventive interventions for mental disorders exist; however, which interventions should be financed is a common issue facing decision makers, and economic evaluation can provide answers. Unfortunately, existing economic evaluations of preventive interventions have limited applicability to local healthcare contexts. An approach to priority setting largely based on economic techniques— Assessing Cost-Effectiveness (ACE)—has been developed and used in Australia to answer questions regarding the economic credentials of competing interventions. Eleven preventive interventions for mental disorders and suicide, mostly psychological in nature, have been evaluated using this approach, with many meeting the criteria of good value for money. Interventions targeting the prevention of suicide, adult and childhood depression, childhood anxiety, and early psychosis have particular merit.

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OBJECTIVE: Given the burden of common psychiatric disorders and their consequent service and planning requirements, it is important to have a thorough knowledge of their distribution and characteristics in the population. Thus, we aimed to report the prevalence and age of onset of mood, anxiety and substance-use disorders in an age-stratified representative sample of Australian men. METHOD: Psychiatric disorders (mood, anxiety and substance-use disorders) were diagnosed utilising a structured clinical interview (Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition, Non-Patient Edition) for 961 men aged 24-98 years enrolled in the Geelong Osteoporosis Study. The lifetime and current prevalence of these disorders was determined from the study population and standardised to 2006 census data for Australia. RESULTS: Approximately one in three men (28.8%, 95% confidence interval [CI] = [26.8%, 30.8%]) reported a lifetime history of any psychiatric disorder, with mood disorders (18.2%, 95% CI = [15.2%, 21.2%]) being more prevalent than anxiety (7.2%, 95% CI = [5.0%, 9.4%]) and substance-use disorders (12.9%, 95% CI = [9.7%, 16.0%]). Approximately 8.7% (95% CI = [7.5%, 10.0%]) were identified as having a current disorder, with 3.8% (95% interquartile range [IQR] = [2.2%, 5.4%]), 2.4% (95% CI = [1.1%, 3.8%]) and 3.4% (95% CI = [1.8%, 4.9%]) meeting criteria for current mood, anxiety and substance-use disorders, respectively. The median age of onset for mood disorders was 37.5 years (IQR = 27.0-48.0 years), 25.0 years (IQR = 20.0-40.3 years) for anxiety and 22.0 years (IQR = 18.0-34.3 years) for substance-use disorders. CONCLUSION: This study reports the lifetime and current prevalence of psychiatric disorders in the Australian male population. These findings emphasise the extent of the burden of these disorders in the community.

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In this video Q&A, we talk to Associate Professor Felice Jacka about population health approaches to the primary prevention of mental disorders across the lifespan. These include addressing lifestyle factors, such as diet, smoking and physical activity. Latest strategies are being developed through epidemiological studies and clinical trial evidence. Challenges in preventing mental disorders in general and specifically in the workplace are discussed, together with future directions on promoting well-being.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)