Predicting and preventing common mental illness


In this podcast, Professor Michael King describes the first risk algorithm for major depression that he and colleagues have recently developed, modelled along the lines of risk algorithms for cardiac disease and other illnesses.


Date published: 15 May 2009

Audio running time: 15 minutes

Credits: 0.5


Learning outcomes:


By the end of this podcast we hope you will:


  • have a clearer understanding as to why the notion of the prevention of mental illness is 'unfashionable' in psychiatry

  • better appreciate the complexities of researching risk factors for depression in population-based studies

  • be familiar with a risk algorithm model for predicting depression

  • be able to define the risk factors which appear to be key variables and which ones of less significance

  • be aware of how we can apply this algorithm tool in the clinical setting and take it forwards in psychiatry.


Take the module test and gain CPD certification


Please note: This podcast was recorded in 2009. Please be aware that some of the material covered and/or guidance may have changed.
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If you like this podcast, you may also be interested in the following:


Assessment of suicide ideation by Dr Matthew Nock


The assessment of personality

(module) by Professor Peter Tyrer and Dr Caroline Methuen



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