138 resultados para illness


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Two key methodological issues underlying different methods for calculating estimates of the number of alcohol-caused deaths are identified and recommendations suggested for future work.

1. How to adjust alcohol aetiologic fractions across time and place to reflect different levels of risky drinking. A common approach is outlined for both acute and chronic alcohol-related conditions. In the absence of consistent, reliable and regionally specific measures of the prevalence of risky alcohol consumption from national surveys, the use of per capita consumption data as a means of adjusting alcohol population aetiologic fractions over time and across regions is recommended.

2. Whether abstainers or low-risk drinkers should be used as the reference group when assessing the impact of alcohol consumption and how the resulting information is best presented. It is recommended that when abstainers are used as the reference group, the costs and benefits for both 'low-risk' and 'risky/high-risk' drinking should be identified. Using this approach, it was estimated that for Australia in 1998 there was a net benefit of 5,100 lives saved due to low-risk drinking, while there was a net loss of 2,737 lives due to risky/high-risk drinking. On its own, the figure of a net saving of 2,363 lives per year is a simplistic and potentially misleading picture of alcohol as a net benefit to public health and safety. For public health communications, there is still value in providing estimates using the low-risk drinking contrast, of the number of lives saved if risky/high-risk drinkers all became low-risk drinkers (n=3,292 in 1998). The use of the abstinence contrast, however, allows the more complex picture of alcohol's impact on public health to be apparent, e.g. including the estimated 1,505 deaths associated with low-risk drinking (mostly from cancer).

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Objective:  Coexisting chronic medical conditions are common in bipolar disorder. Here, we report the prevalence and correlates of medical comorbidity in patients enrolled in the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD). We were particularly interested in associations between variables reflecting illness chronicity and burden with comorbid medical conditions.

Method:  We used intake data from the open-label component of the STEP-BD. History of medical comorbidity was obtained from the affective disorders evaluation, and its presence was the outcome of interest. The sample size in analyses varied from 3399 to 3534. We used multiple Poisson regression to obtain prevalence ratios.

Results:  The prevalence of any medical comorbidity in the sample was 58.8%. In addition to demographic variable, several clinical characteristics were associated with the frequency of medical comorbidity. Having more than 10 previous mood episodes, childhood onset, smoking, lifetime comorbidity with anxiety, and substance use disorders were independently associated with having a medical comorbidity in the final multivariate model.

Conclusion:  The results presented here reveal strong associations between variables related to illness chronicity and medical burden in bipolar disorder. This lends further support to recent multidimensional models incorporating medical morbidity as a core feature of bipolar disorder.

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It is unclear whether the severity of positive formal thought disorder, a core clinical feature of schizophrenia, is stable or worsening through the chronic course of the illness. The neurocognitive basis for positive thought disorder also remains unclear. The aim of the present paper was to examine the relationship between thought disorder as measured by the Thought Disorder Index (TDI) and duration of illness and neuropsychological indices in 79 patients with schizophrenia. TDI scores increased in proportion to illness duration. TDI scores were not associated with verbal memory or executive functioning. These results indicate an ongoing worsening of positive thought disorder through the course of illness in schizophrenia.

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Despite the premature and somewhat infamous rise and fall of psychosurgery in the mid-20th century, the current era of functional neuromodulation proffers immense opportunity for surgical intervention in treatment-resistant psychiatric disorders. On the basis of recent successes with novel, focused, less invasive, and reversible treatment strategies for movement disorders, several therapeutic trials have been conducted to investigate the effectiveness of deep brain stimulation (DBS) in treatment-resistant depression, obsessive-compulsive disorder (OCD), and Tourette syndrome. The many anatomic targets for these psychiatric disorders are indicative of both the system-wide effects of DBS and the network-level dysfunction mediating the emotional and cognitive disturbances. To gain insight into the application of neuromodulation therapies and their further advancement, we must elucidate neuroanatomic networks involved in refractory psychiatric illness, the neurophysiological anomalies that contribute to disordered information processing therein, and the local and system-wide modulatory effects of DBS. This review discusses the history of psychosurgical procedures, recent DBS clinical data, current anatomic models of psychopathology, and possible therapeutic mechanisms of action of DBS neuromodulation. Our search criteria for PubMed included combinations of the following terms: neuromodulation, DBS, depression, OCD, Tourette syndrome, mechanism of action, and history. Dates were not restricted. As clinical and basic scientific investigations probe the neuromodulatory effects of DBS in the treatment of refractory neuropsychiatric illness, our knowledge of these disorders and our potential to treat them are rapidly expanding. Indeed, this modern era of neuromodulation may provide the key that unlocks many of the mysteries pertaining to the biological basis of disordered emotional neurocircuitry.

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This qualitative study describes the understanding of health and belief practices among elderly Greek Australians. In particular, the role of religion is discussed as a means of resilience and adjustment to illness, as religious faith often influences individual’s thoughts, feelings, and how they may accept or understand their particular health condition. Adjustment has a strong psychological or emotional component that is likely to be affected by culturally determined conceptualizations of health. As such, the particular background of a population may be very significant in the level and means of adaptation of individuals and groups.

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Objective: Staging models may provide heuristic utility for intervention selection in psychiatry. Although a few proposals have been put forth, there is a need for empirical validation if they are to be adopted. Using data from the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD), we tested a previously elaborated hypothesis on the utility of using the number of previous episodes as a relevant prognostic variable for staging in bipolar disorder.

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This report utilizes data from the multisite, prospective, open-label study ‘Standard Care Pathways’ and the subset of patients with acute depressive episodes who participated in the randomized trial of adjunctive antidepressant treatment. Outpatients meeting DSM-IV diagnostic criteria for bipolar disorder (n = 3345) were included. For the randomized pathway, patients met criteria for an acute depressive episode (n = 376). The number of previous episodes was categorized as less than 5, 5–10 and more than 10. We used disability at baseline, number of days well in the first year and longitudinal scores of depressive and manic symptoms, quality of life and functioning as validators of models constructed a priori.

Results: Patients with multiple previous episodes had consistently poorer cross-sectional and prospective outcomes. Functioning and quality of life were worse, disability more common, and symptoms more chronic and severe. There was no significant effect for staging with regard to antidepressant response in the randomized trial.

Conclusions: These findings confirm that bipolar disorder can be staged with prognostic validity. Stages can be used to stratify subjects in clinical trials and develop specific treatments.