Emotional intelligence (EI) as a predictor of depression status in older adults

Underdeveloped recognition systems or predictors for negative consequences related to depression in the older adult put this population at a significant risk for suicide, medical illness, and poor health status. Research concerning strategies for predicting depression in the older adult population has not until recently focused on the possibility of measuring one's EI as a potential predictive factor. To address an aspect of this neglect, the present quantitative correlational study explored to what extent the total Emotional Quotient (EQ) scale score of EI predicted depression. Two self-report measures were utilized: the Geriatric Depression Scale-Short (GDS-Short), and the Bar-On Emotional Quotient Inventory:Short (EQ-i:S). A purposive sample of 128 men and women (ages 65 and older) were recruited from local recreation centers and independent living facilities. To determine the extent to which EQ-i:S scaled score predicted depression, multiple logistic regression analysis was carried out. After accounting for age, education, and anti-depressant use, EQ-i:S scaled score had a statistically significant effect OR = 0.94 (0.91, 0.97), p < 0.001. This result indicated that for every 1-point increase in EQ-i:S scaled score, the risk of having depression decreased by 6%. The results indicated that increased EI has a beneficial effect in terms of current depression status. Future longitudinal research in examining EI as a predictor for depression in the older adult population is needed to substantiate and expand upon these findings.