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Modelling changes in anxiety and depression during low-intensity cognitive behavioural therapy: An application of growth mixture models.

Orla McDevitt-PetrovicMark ShevlinKaren Kirby
Published in: The British journal of clinical psychology (2019)
Most of the sample belonged to an 'improvers' class. Several pre-treatment variables predicted poor treatment response (unemployment, suicide risk, neglect, medication, previous or concurrent treatments, longer duration of difficulties, and comorbidities). Few studies have utilized GMM to determine predictors of outcome following LICBT Regarding pre-treatment variables, the possibility of self-report bias cannot be excluded. The time period was relatively short, although represented the optimum number of sessions recommended for LICBT. The lack of a control group and random allocation were the main limitations.
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