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Table 5 Latent variable structure, direct effects, and covariances of the Empath withdrawal management SEM model

From: Analysis of associations between emotions and activities of drug users and their addiction recovery tendencies from social media posts using structural equation modeling

Relationships between variables

Estimate

Standardized estimate

Standard error

Z value

P value

Latent variables

 Emotional distress—> 

Negative_ emotion

1.000

0.557

–

–

–

 Emotional distress—> 

Weakness

1.539

0.858

0.061

25.04

0.000

 Emotional distress—> 

Health

1.453

0.809

0.034

42.9

0.000

 Emotional distress—> 

Pain

1.265

0.705

0.030

42.4

0.000

 Physical distress—> 

medical_emergency

1.000

0.228

–

–

–

 Physical distress—> 

Weakness

.996

0.228

0.075

13.2

0.000

 Physical distress—> 

Health

0.1.206

0.275

0.050

24.0

0.000

 Physical distress—> 

Pain

4.100

0.936

0.250

16.4

0.000

Regressions

 Emotional distress—> 

Recovery

0.140

0.078

0.146

2.2

0.022

 Physical pain- > 

Recovery

0.422

0.096

0.061

2.9

0.004

Correlations

Negative_emotion

Suffering

− 0.011

− 0.023

0.016

− 0.702

0.483

Negative_emotion

Hate

0.073

0.123

0.015

4.7

0.000

Medical_emergency

Health

0.608

0.650

0.014

44.9

0.000

Health

Suffering

0.128

0.227

0.008

16.3

0.000

Weakness

Suffering

0.105

0.184

0.008

14.0

0.000

Shame

Hate

0.013

0.036

0.004

3.3

0.257

Suffering

Hate

0.152

0.365

0.018

8.2

0.000

Negative_emotion

Shame

− 0.092

− 0.217

0.005

− 17.7

0.000

Medical_emergency

Suffering

0.070

0.122

0.008

9.2

0.000

Pain

Shame

0.161

0.897

0.024

6.6

0.00

Emotional distress

Physical pain

0.116

0.913

0.008

15.0

0.000

  1. The symbol ‘—>’ is used to represent a path or direct effect in our model. Both emotional distress and physical pain positively impacted adiction recovery behavior