Linear regression analysis investigating the association between personality traits and sleep quality, as measured by PSQI global score.

N = 1,406
Note. All models were adjusted for age, marital status, smoking, and working status.
a Model I: linear regression model including a single domain of personality as an independent variable (R2 = 0.043, 0.023, 0.020, 0.026, and 0.027; adjusted R2 = 0.040, 0.020, 0.016, 0.022, and 0.023, F = 12.67, 6.70, 5.61, 7.45, and 7.68; P<.001, <.001, <0.001, <.001, and <0.001 in N, E, O, A, and C, respectively).
b Model II: multiple linear regression model including all five domains of personality as independent variables (R2 = 0.0524, adjusted R2 = 0.041, F = 4.80, P<.001).
c β: standardized coefficient in linear regression analyses.
d Unique = proportion of criterion variance explained uniquely by the predictor.
e Common = proportion of criterion variance explained by the predictor that is also explained by one or more other predictors. Unique + Common = r2, r = zero-order correlation coefficient
*p <.05
**p <.01
***p<.001
Linear regression analysis investigating the association between personality traits and sleep quality, as measured by PSQI global score.