Can personality assessment predict future depression? A twelve-month follow-up of 631 subjects

• Published in: Journal of affective disorders Vol. 92; no. 1; pp. 35 - 44
• Main Authors: Cloninger, C. Robert, Svrakic, Dragan M., Przybeck, Thomas R.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.05.2006; Elsevier
• Subjects: Adolescent; Adult; Adult and adolescent clinical studies; Biological and medical sciences; Character; Depression; Depressive Disorder, Major - diagnosis; Depressive Disorder, Major - epidemiology; Female; Follow-Up Studies; Humans; Male; Medical sciences; Mood changes; Mood disorders; Personality assessment; Personality Disorders - diagnosis; Personality Disorders - epidemiology; Predictive Value of Tests; Psychology. Psychoanalysis. Psychiatry; Psychopathology. Psychiatry; Sex Factors; Surveys and Questionnaires; Temperament; Depression; Mood changes; Personality assessment; Mood disorder; Human; Follow up study; Personality; Predictive factor
• ISSN: 0165-0327; 1573-2517
• DOI: 10.1016/j.jad.2005.12.034

Personality assessment provides a description of a person's fundamental emotional needs and of the higher cognitive processes that modulate thoughts, feelings, and behavior. Prior studies by us examined personality and mood at the same time. Assessing personality may allow prediction of mood changes over time in a longitudinal study, as described in earlier prospective studies by Paula Clayton and others. A group of 631 adults representative of the general population completed the Temperament and Character Inventory (TCI) and Center for Epidemiological Studies depression scale (CES-D) at baseline and one year later. TCI scores at baseline accounted for gender differences in levels of depression. TCI personality scores were strongly stable (range in r = .78 to .85 for each of seven dimensions) whereas mood was only moderately stable ( r = .62) over the twelve-month follow-up. Baseline personality scores (particularly high Harm Avoidance and low Self-Directedness) explained 44% of the variance in the change in depression. Baseline levels and changes in Harm Avoidance and Self-Directedness explained 52% of the variance in the change in depression at follow-up. The follow-up sample was representative of the target population except for slightly lower Novelty Seeking scores. Observable personality levels strongly predict mood changes. Personality development may reduce vulnerability to future depression.