2,339 research outputs found

    Anxiety after stroke: the importance of subtyping

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    Comparison of early and late depression after TBI; (the SHEFBIT study)

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    OBJECTIVE: Evaluate the prevalence and risk factors for depression at 1 year after traumatic brain injury (TBI) and contrast against those at 10 weeks. METHODS: Prospective TBI admissions over 2 years to an emergency department were recruited to form a representative TBI population. Depression was recorded at 10 weeks and 1 year by HADS (Hospital Anxiety and Depression Scale) with score>8. Demographic and injury features were analyzed for association with depression. RESULTS: A total of 774 individuals were recruited of whom 690 attended  1-year follow-up; 38 had died. Only 6% of the cohort was lost to follow-up. The prevalence of depression at 10 weeks was 56.3% [95% CI 52.8-59.8] and at 1 year 41.2% [95% CI 37.6-44.9] A multivariable analysis identified the independent predictors of 1 year depression as an abnormal CT scan, past psychiatric history, alcohol intoxication, and female gender. TBI severity, age, etiology, and medical comorbidity were not significant. By contrast at 10weeks, increasing severity and CT findings were highly significant. CONCLUSIONS: Depression at 1 year post-TBI remains high but injury features are less predictive than early after injury. It is likely that pre-injury personality and coping mechanisms are more important in determining long term outcome. The predictors identified may allow targeting of vulnerable sub-populations

    A study of the validity and the reliability of the Geriatric Anxiety Inventory in screening for anxiety after stroke in older inpatients

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    Objectives: To investigate the validity and reliability of the Geriatric Anxiety Inventory in screening for anxiety in older inpatients post-stroke. Design: Longitudinal. Subjects: A total of 81 inpatients with stroke aged 65 years or older were recruited at four centres in England. Main measures: At phase 1 the Geriatric Anxiety Inventory and the Hospital Anxiety and Depression Scale were administered and then the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders 4th edition (phase 2). The Geriatric Anxiety Inventory was repeated a median of seven days later (phase 3). Results: Internal reliability of the Geriatric Anxiety Inventory was high (α = 0.95) and test-retest reliability acceptable (τB = 0.53). Construct validity of the Geriatric Anxiety Inventory was evident with respect to the Hospital Anxiety and Depression Scale -Anxiety subscale (τB = 0.61). At a cut off of 6/7, the sensitivity of the Geriatric Anxiety Inventory was 0.88 and specificity 0.84, with respect to Structured Clinical Interview diagnosis of anxiety. Hospital Anxiety and Depression Scale -Anxiety subscale sensitivity was 0.88, specificity 0.54 at the optimum cut off of 5/6. A comparison the areas under the curve of the Receiver Operating Characteristics for the two instruments indicated that the area under the curve of the Geriatric Anxiety Inventory was significantly larger than that of the Hospital Anxiety and Depression Scale –Anxiety subscale, supporting its superiority. Conclusions: The Geriatric Anxiety Inventory is an internally consistent, reliable (stable) and valid instrument with acceptable sensitivity and specificity to screen for anxiety in older inpatients with stroke

    EEG Markers in Emotionally Unstable Personality Disorder-A Possible Outcome Measure for Neurofeedback: A Narrative Review.

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    Objectives. There is growing evidence for the use of biofeedback (BF) in affective disorders, dissocial personality disorder, and in children with histories of abuse. Electroencephalogram (EEG) markers could be used as neurofeedback in emotionally unstable personality disorder (EUPD) management especially for those at high risk of suicide when emotionally aroused. This narrative review investigates the evidence for EEG markers in EUPD. Methods. PRISMA guidelines were used to conduct a narrative review. A structured search method was developed and implemented in collaboration with an information specialist. Studies were identified via 3 electronic database searches of MEDLINE, Embase, and PsycINFO. A predesigned inclusion/exclusion criterion was applied to selected papers. A thematic analysis approach with 5 criteria was used. Results. From an initial long list of 5250 papers, 229 studies were identified and screened, of which 44 met at least 3 of the predesigned inclusion criteria. No research to date investigates EEG-based neurofeedback in EUPD. A number of different EEG biomarkers are identified but there is poor consistency between studies. Conclusions. The findings heterogeneity may be due to the disorder complexity and the variable EEG related parameters studied. An alternative explanation may be that there are a number of different neuromarkers, which could be clustered together with clinical symptomatology, to give new subdomains. Quantitative EEGs in particular may be helpful to identify more specific abnormalities. EEG standardization of neurofeedback protocols based on specific EEG abnormalities detected may facilitate targeted use of neurofeedback as an intervention in EUPD

    Incidence and drug treatment of emotional distress after cancer diagnosis : a matched primary care case-control study

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    Notes This work is published under the standard license to publish agreement. After 12 months the work will become freely available and the license terms will switch to a Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License.Peer reviewedPublisher PD

    Validity of self-reported criminal justice system involvement in substance abusing women at five-year follow-up

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    <p>Abstract</p> <p>Background</p> <p>Few studies have compared self-reported criminal behaviour with high-quality databases of criminal offences and judicial sanctions. Self-reported problems from drug abusers are generally believed to be valid. We assessed the validity of self-reported theft, drug offences and prison sentences from a five-year follow-up of female substance abusers who were originally treated in a compulsory care unit in Lund, run by the Swedish Board of Institutional Care.</p> <p>Methods</p> <p>Data from a total of 106 of a consecutive sample of 132 women inter-viewed in a five-year follow-up. All were thoroughly assessed for somatic complaints, psychiatric and psychological problems, background factors with standardized instruments. Data over the five years were linked to official records of judicial sanctions, retrieved from The National Council for Crime Prevention, Stockholm, Sweden. Register data have a full cover for the whole cohort. The current data base contain full data back to 1975 up to 2004.</p> <p>Results</p> <p>Agreement was assessed for each year, as well as for the total period. Statistical control was performed for other types of crimes and prison. Although statistically significant, agreement was modest, and in contrast to previous studies, patients under-reported violence charges.</p> <p>Conclusion</p> <p>The findings suggest that self-reports of criminal behaviour from women can be used with some caution, and that the validity of self-report may vary between types of criminal justice system involvement.</p

    Testing the cognitive-behavioural maintenance models across DSM-5 bulimic-type eating disorder diagnostic groups: A multi-centre study

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    The original cognitive-behavioural (CB) model of bulimia nervosa, which provided the basis for the widely used CB therapy, proposed that specific dysfunctional cognitions and behaviours maintain the disorder. However, amongst treatment completers, only 40–50 % have a full and lasting response. The enhanced CB model (CB-E), upon which the enhanced version of the CB treatment was based, extended the original approach by including four additional maintenance factors. This study evaluated and compared both CB models in a large clinical treatment seeking sample (N = 679), applying both DSM-IV and DSM-5 criteria for bulimic-type eating disorders. Application of the DSM-5 criteria reduced the number of cases of DSM-IV bulimic-type eating disorders not otherwise specified to 29.6 %. Structural equation modelling analysis indicated that (a) although both models provided a good fit to the data, the CB-E model accounted for a greater proportion of variance in eating-disordered behaviours than the original one, (b) interpersonal problems, clinical perfectionism and low self-esteem were indirectly associated with dietary restraint through over-evaluation of shape and weight, (c) interpersonal problems and mood intolerance were directly linked to binge eating, whereas restraint only indirectly affected binge eating through mood intolerance, suggesting that factors other than restraint may play a more critical role in the maintenance of binge eating. In terms of strength of the associations, differences across DSM-5 bulimic-type eating disorder diagnostic groups were not observed. The results are discussed with reference to theory and research, including neurobiological findings and recent hypotheses

    Evaluating Acquisition Time of rfMRI in the Human Connectome Project for Early Psychosis. How Much Is Enough?

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    Resting-state functional MRI (rfMRI) correlates activity across brain regions to identify functional connectivity networks. The Human Connectome Project (HCP) for Early Psychosis has adopted the protocol of the HCP Lifespan Project, which collects 20 min of rfMRI data. However, because it is difficult for psychotic patients to remain in the scanner for long durations, we investigate here the reliability of collecting less than 20 min of rfMRI data. Varying durations of data were taken from the full datasets of 11 subjects. Correlation matrices derived from varying amounts of data were compared using the Bhattacharyya distance, and the reliability of functional network ranks was assessed using the Friedman test. We found that correlation matrix reliability improves steeply with longer windows of data up to 11–12 min, and ≄14 min of data produces correlation matrices within the variability of those produced by 18 min of data. The reliability of network connectivity rank increases with increasing durations of data, and qualitatively similar connectivity ranks for ≄10 min of data indicates that 10 min of data can still capture robust information about network connectivities
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