35 research outputs found

    Self-help interventions for anxiety disorders: An overview.

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    Anxiety disorders are highly prevalent and are associated with a marked impairment in quality of life and a huge economic cost to society. Unfortunately, a considerable number of people who struggle with anxiety do not seek or receive adequate treatment. Self-help interventions have been proposed to constitute a relatively cheap, effective, efficient, and low-threshold intervention for anxiety disorders. This paper offers a critical discussion of their advantages and disadvantages and the evidence for their effectiveness. We conclude that guided self-help can play a major role in mental health care for patients with anxiety disorders. However, several research questions need to be answered before broad-scale dissemination is possible. The Internet will continue to play a prominent role in the further development of this field of research and clinical practice

    Treatment of Childhood and Adolescent Disorders

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    Book Summary: This is the only advanced practice guide to provide an overview of the major DSM-IV-TR disorders across the lifespan and complete clinical guidelines for their psychopharmacologic management. It has been compiled by expert practitioners in psychiatric care and is designed for use by nurse practitioners and other primary caregivers in clinical practice. The guide is organized in an easy-to-access format with disorders for which drugs can play a significant therapeutic role. The listing for each disorder includes clinical features and symptoms, as well as information about the most current and effective drugs for management. A clearly formatted table identifies the first and second lines of drug therapy along with adjunctive therapies for each disorder. Drugs are organized according to classification, and each listing provides the essential information needed to safely prescribe and monitor a patient\u27s response to a particular drug. This includes brand and generic names, drug class, customary dosage, side effects, drug interactions, pharmacokinetics, precautions, and management of special populations. Convenient, practical, and portable, this guide will be a welcome and frequently used resource

    Clarity or confusion?: problems in attributing large-scale ecological changes to anthropogenic drivers

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    Ways of reducing the drivers of global biodiversity loss and degradation of ecosystem services are needed more than ever before. Policy options must be based on the best evidence of the role of multiple driving forces. Increasingly, a significant part of the evidence base comes from attributing signals of biological change detected in large-scale analytical surveys to a range of possible causal factors. We highlight a number of subtle difficulties that can beset the challenge of detecting such correlative relationships. These are as follows: (1) The Modifiable Area Unit Problem. (2) Incomplete explanatory variable data. (3) Lack of control over the replication and crossing of driving variables. In most cases these problems can be avoided by more careful specification of the scientific question and application of relatively new analytical techniques. Ignoring them can lead to mis-specification of hypothesised driver–state–impact relationships and flawed conclusions as to the most important causes of change
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