Examining the Effects of Static Personality Traits with Dynamic Affective and Emotional States on Depression Severity
摘要
Depression is a condition that impacts individuals by causing low mood and a diminished interest in usual activities, ultimately affecting their quality of life. The Experience Sampling Method (ESM) offers a valuable tool for examining the relationships among depression, personality traits, and emotional experiences in the context of daily behaviors and responses to stimuli. In this study, multivariable logistic regression was employed to investigate the link between (i) emotions during ESM with depression and (ii) pre-ESM characteristics. The characteristics considered encompassed the Big Five personality traits (BFI), Meaning in Life Questionnaire (MLQ), Self-Concept Scale (SCS), Self-Esteem Scale (SES), Positive and Negative Affect Scale (PANAS), as well as valence and arousal. The participants (N=142) considered in this study had the following categories of depression: moderate and severe. We observe that prior to ESM, the low self-esteem (odds ratio [OR], 0.787; 95% confidence interval [CI] 0.693–0.895; P = 0.001) and during ESM the negative affect adjusted for prior covariates (OR, 1.077; 95% CI 1.052 to 1.103; P = 0.003) were more apparent in individuals with severe depression.