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Table 3 Fixed effects from Dynamic Structural Equation Models testing the session-wise lagged relationships between symptoms of eating disorder and depression

From: Reduction in depressive symptoms predicts improvement in eating disorder symptoms in interpersonal psychotherapy: results from a naturalistic study

 

Model 1

Model 2

Fixed effects, within level

Estimate

sd

p

95% CI

Estimate

sd

p

95% CI

PHQt-1 → PHQt

0.58

0.05

<.001

0.48, 0.69

0.44

0.08

<.001

0.29, 0.59

REDSt-1 → PHQt

0.24

0.05

<.001

0.14, 0.34

−0.01

0.08

.92

−0.16, 0.16

REDSt-1 → REDSt

0.73

0.05

<.001

0.63, 0.83

0.20

0.08

.02

0.04, 0.36

PHQt-1 → REDSt

0.13

0.05

.008

0.04, 0.23

0.13

0.06

.04

0.00, 0.25

PHQt ↔ REDSt

0.15

0.017

<.001

0.12, 0.19

0.12

0.01

<.001

0.10, 0.16

Fixed effects, between level

 PHQintercept ↔ REDSintercept

0.089

0.211

0.52

−0.10, 0.69

0.68

0.41

.01

0.15, 1.71

 PHQslope ↔ REDSslope

    

0.00

0.00

.04

0.00, 0.01

 PHQintercept ↔ REDSslope

    

−0.02

0.02

.26

−0.07, 0.02

 PHQslope ↔ REDSintercept

    

−0.02

0.02

.08

−0.07, 0.00

 PHQintercept ↔ PHQslope

    

−0.03

0.02

.002

−0.09, − 0.01

 REDSintercept ↔ REDSslope

    

−0.06

0.03

<.001

−0.13, − 0.02

  1. Note. PHQt-1 and REDSt-1 are the PHQ-9 and REDS scores, respectively, at session t-1, while PHQt and REDSt are the PHQ-9 and REDS scores at scores at session t. Unidirectional arrows (→) represent regression paths (potentially causal), while bidirectional arrows (↔) represent covariances