Table 4.

Mixed effects regression models on negative and positive affect instability (N=151)

	Negative affect instability				Positive affect instability
	Coef.	Std. Err.	95% Conf. Int.	p-value	Coef.	Std. Err.	95% Conf. Int.	p-value
Model 1
Female vs. Male	0.205	0.060	(0.088 – 0.322)	0.001	−0.028	0.099	(−0.223 – 0.166)	0.774
Age	0.004	0.008	(−0.012 – 0.019)	0.633	−0.025	0.013	(−0.050 – 0.001)	0.056
Race/ethnicity
Hispanic	0.028	0.065	(−0.100 – 0.156)	0.668	−0.030	0.117	(−0.259 – 0.198)	0.795
Other (NH) vs. White (NH)	0.217	0.085	(0.052 – 0.383)	0.010	0.336	0.123	(0.094 – 0.577)	0.007
BPD pos. screen	0.119	0.051	(0.020 – 0.219)	0.019	0.178	0.088	(0.004 – 0.351)	0.045
Random intercepts (variance)
Subject	0.058	0.013	(0.037 – 0.091)		0.173	0.052	(0.096 – 0.313)
Residual: AR(1)
rho	−0.089	0.037	(−0.160 – −0.016)		0.148	0.052	(0.044 – 0.248)
var(e)	0.286	0.028	(0.237 – 0.346)		0.571	0.057	(0.470 – 0.694)
Model 2a
BPD pos. screen	0.065	0.054	(−0.040 – 0.171)	0.226	0.210	0.091	(0.031 – 0.389)	0.021
DERS (standardized)	0.065	0.027	(0.013 – 0.118)	0.014	−0.041	0.047	(−0.132 – 0.051)	0.382

^aModel 2 included all the covariates from Model 1