The association between cognitive function and subsequent depression: a systematic review and meta-analysis.
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2017-01
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Abstract
Despite a growing interest in understanding the cognitive deficits associated with major depressive disorder (MDD), it is largely unknown whether such deficits exist before disorder onset or how they might influence the severity of subsequent illness. The purpose of the present study was to conduct a systematic review and meta-analysis of longitudinal datasets to determine whether cognitive function acts as a predictor of later MDD diagnosis or change in depression symptoms. Eligible studies included longitudinal designs with baseline measures of cognitive functioning, and later unipolar MDD diagnosis or symptom assessment. The systematic review identified 29 publications, representing 34 unique samples, and 121 749 participants, that met the inclusion/exclusion criteria. Quantitative meta-analysis demonstrated that higher cognitive function was associated with decreased levels of subsequent depression (r = -0.088, 95% confidence interval. -0.121 to -0.054, p < 0.001). However, sensitivity analyses revealed that this association is likely driven by concurrent depression symptoms at the time of cognitive assessment. Our review and meta-analysis indicate that the association between lower cognitive function and later depression is confounded by the presence of contemporaneous depression symptoms at the time of cognitive assessment. Thus, cognitive deficits predicting MDD likely represent deleterious effects of subclinical depression symptoms on performance rather than premorbid risk factors for disorder.
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Scult, MA, AR Paulli, ES Mazure, TE Moffitt, AR Hariri and TJ Strauman (2017). The association between cognitive function and subsequent depression: a systematic review and meta-analysis. Psychol Med, 47(1). pp. 1–17. 10.1017/S0033291716002075 Retrieved from https://hdl.handle.net/10161/13834.
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Terrie E. Moffitt
Terrie E. Moffitt, Ph.D., is the Nannerl O. Keohane University Professor of Psychology at Duke University, and Professor of Social Development at King’s College London. Her expertise is in the areas of longitudinal methods, developmental theory, mental disorders and antisocial behaviors, neuropsychology, and genomics in behavioral science. She is currently uncovering the consequences of a lifetime of mental and behavioral disorder on processes of aging. She is the Associate Director of the Dunedin Longitudinal Study, which follows a 1972 birth cohort in New Zealand. She also co-founded the Environmental Risk Longitudinal Twin Study (E-Risk), which follows a 1994 birth cohort in the UK. Dr. Moffitt also is a licensed clinical psychologist, with specialization in neuropsychological assessment. She collaborates with criminologists, economists, geneticists, epidemiologists, sociologists, demographers, gerontologists, statisticians, neuroscientists, medical scientists, opthalmologists, and dentists. Dr. Moffitt is a fellow of the National Academy of Medicine and the American Academy of Arts and Sciences , as well as the British Academy, Academy of Medical Sciences (UK), Academia Europa, Association of Psychological Science, and the American Society of Criminology. She holds honorary doctorates from the Katholieke Universiteit Leuven, Belgium, and Universitat Basel, Switzerland. For her research, Dr. Moffitt has received both the American Psychological Association's Early Career Contribution Award and Distinguished Career Award. Dr. Moffitt was also awarded a Royal Society-Wolfson Merit Award, the Klaus-Grawe Prize, and was a recipient of the Stockholm Prize in Criminology, NARSAD Ruane Prize, the Klaus J. Jacobs Research Prize, and in 2022 the Grawemeyer Prize. Her service includes serving as chair of the Board on Behavioral, Cognitive, and Sensory Science at NASEM, Chair of the NIA Data Monitoring Committee for the Health and Retirement Study, and Chair of the Jury for the Klaus J. Jacobs Prize in Switzerland. Dr. Moffitt attended the University of North Carolina at Chapel Hill for her undergraduate degree in psychology. She continued her training in psychology at the University of Southern California, receiving an M.A. in experimental animal behavior, and a Ph.D. in clinical psychology. She also completed postdoctoral training in geriatrics and neuropsychology at the University of California Los Angeles Neuropsychiatric Institute. In her spare time, she works on her poison-ivy farm in North Carolina.
Ahmad Hariri
Integrating psychology, neuroimaging, pharmacology and molecular genetics in the search for biological pathways mediating individual differences in behavior and related risk for psychopathology.
Timothy J. Strauman
Professor Strauman's research focuses on the psychological and neurobiological processes that enable self-regulation, conceptualized in terms of a cognitive/motivational perspective, as well as the relation between self-regulation and affect. Particular areas of emphasis include: (1) conceptualizing self-regulation in terms of brain/behavior motivational systems; (2) the role of self-regulatory cognitive processes in vulnerability to depression and other disorders; (3) the impact of treatments for depression, such as psychotherapy and medication, on self-regulatory function and dysfunction in depression; (4) how normative and non-normative socialization patterns influence the development of self-regulatory systems; (5) the contributory roles of self-regulation, affect, and psychopathology in determining immunologically-mediated susceptibility to illness; (6) development of novel multi-component treatments for depression targeting self-regulatory dysfunction; (7) utilization of brain imaging techniques to test hypotheses concerning self-regulation, including the nature and function of hypothetical regulatory systems and characterizing the breakdowns in self-regulation that lead to and accompany depression.
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