Table 2.

5-HTTLPR/rs25531 genotype and inertia regarding negative affect, results of multilevel regression [with t affect scale as response variable and t−1 affect scale, dummy-coded genotype information, and their interaction as predictors]

	Random intercept model			Random slope model
	b	95% CI		b	95% CI
Intercept negative affect
Value	16.463	12.351	20.574	16.526	12.413	20.639
Genotype	0.485	− 0.708	1.678	0.492	− 0.702	1.686
Age	− 0.030	− 0.253	0.193	− 0.033	− 0.256	0.190
Female	2.130	1.064	3.197	2.138	1.072	3.204
Weekend	− 0.661	− 0.939	− 0.383	− 0.721	− 0.982	− 0.460
Slope negative affect
Value	0.367	0.166	0.569	0.241	0.094	0.388
Genotype	0.000	− 0.050	0.050	0.009	− 0.033	0.051
Age	− 0.003	− 0.014	0.007	0.002	− 0.006	0.010
Female	0.082	0.030	0.134	0.058	0.016	0.101

Week/weekend is included as level 1 covariate, age and sex are included as level 2 covariates. The Intercept sections show the main effect of covariates on affect scores, which is the effect of the covariate if all other covariates were held at zero. The Slope sections show the effect of the covariate on the slope of the t−1 affect score, i.e. the regression coefficients of the interaction between covariate and person mean-centered t−1 affect score in predicting t affect score

b regression coefficient, CI confidence interval