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

Background ality assessment provides a description of a personʹs 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. p 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. s ores 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. tions llow-up sample was representative of the target population except for slightly lower Novelty Seeking scores. al relevance able personality levels strongly predict mood changes. Personality development may reduce vulnerability to future depression.