Logistic regression models predicting poor sleep quality based on personality characteristics.

N = 1,406 Note. CI: Wald Confidence Interval a Odds Ratios (ORs) per 10 T-score increase in a given personality trait, controlling for age, marital status, working status, education, caffeine intake, alcohol use, smoking status, and physical activity. b Model I: logistic regression model including a single domain or facet of personality as an independent variable. c Model II: multiple logistic regression model including all five domains of personality as independent variables. At a facet level, six facets of each domain were included in the model. d Logistic regression analyses of the facet level were performed in neuroticism and conscientiousness. *p<.05 **p<.01 ***p<.001 Logistic regression models predicting poor sleep quality based on personality characteristics.