Pascal Fleurkens, Mike Rinck, Indira Tendolkar, Bauke Koekkoek, William J Burk, Agnes van Minnen, Janna N Vrijsen
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Negative memory bias predicts change in psychiatric problems in a naturalistic psychiatric patient sample.
Self-referential negative memory bias contributes to depression and other psychiatric disorders. Co-morbidity between these disorders is highly common in clinical practice, but transdiagnostic predictors like negative memory bias are not well understood yet. Therefore, the present study aimed to investigate the predictive value of negative memory bias for long-term change in broad psychiatric problems. In a naturalistic psychiatric patient sample (N = 202), using a prospective design, we examined the predictive value of negative memory bias (Self-Referent Encoding Task, SRET) for change in psychiatric problems (Outcome Questionnaire-45, OQ-45) after one, two, three, and four years. More negative memory bias predicted more psychiatric problems three and four years later, even when controlling for baseline psychiatric problems and depression. Memory bias might be a transdiagnostic predictor of change in psychiatric problems. Including such neuropsychological measures in diagnostics and symptom course prediction may improve psychological interventions.
期刊介绍:
Founded in 1961 to report on the latest work in psychiatry and cognate disciplines, the Journal of Psychiatric Research is dedicated to innovative and timely studies of four important areas of research:
(1) clinical studies of all disciplines relating to psychiatric illness, as well as normal human behaviour, including biochemical, physiological, genetic, environmental, social, psychological and epidemiological factors;
(2) basic studies pertaining to psychiatry in such fields as neuropsychopharmacology, neuroendocrinology, electrophysiology, genetics, experimental psychology and epidemiology;
(3) the growing application of clinical laboratory techniques in psychiatry, including imagery and spectroscopy of the brain, molecular biology and computer sciences;