Research Article

Socioemotional Dynamics of Emotion Regulation and Depressive Symptoms: A Person-Specific Network Approach

Table 1

Results from the final model examining association between depressive symptoms and log recovery time of sadness, after controlling for life events in each model.

ParametersEstimates (SE/CI) Estimates (SE/CI) Estimates (SE/CI)

Fixed Effects
 Intercept, 9.84(0.49)9.42(0.47)9.71(0.39)
, 0.70(0.10)0.68(0.10)0.43(0.09)
, 0.18(0.07)0.17(0.08)0.18(0.07)
, 2.29(1.06)1.96(1.05)0.93(0.91)
, 1.26(0.50)1.35(0.51)1.16(0.50)
, 0.32(0.11)0.33(0.12)0.31(0.11)
 Age---0.02(0.03)--
 Gender---0.58(0.97)--
 Education (in years)---0.23(0.12)--
 PAIBFS----0.24(0.05)
 CATS----0.03(0.05)
 IPCS----0.14(0.03)
Random Effects
 Variance Residual,19.17(15.85, 23.19)19.06(15.70, 23.15)18.93(15.64, 22.91)
 Variance Intercept,27.61(20.41, 37.35)22.47(16.14, 31.28)14.12(9.75, 20.44)
 Variance ,0.11(0.04, 0.30)0.12(0.04, 0.31)0.10(0.03, 0.29)
 Covariance intercept, ,0.75(-0.07, 2.55)0.67(-0.08, 2.33)0.29(-0.18, 1.63)
-2Log-Likelihood1315.141216.141242.47

Note. N = 411 repeated measures nested within 150 persons. SE = standard error for fixed effects. CI = 95% confidence interval for random effects. p <0.05, LE = life events, LogRT = log recovery time, PAIBFS = Personality Assessment Inventory-Borderline Features Scale, CATS = Child Abuse and Trauma Scale, and IPCS = Interpersonal Problem Circumplex Scale.