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ORIGINAL RESEARCH

Automatic Thoughts, Self-Stigma, and Resilience Among Schizophrenia Patients with Metabolic Syndrome: A Cross-Sectional Study

, , , , , , , , , , , & ORCID Icon show all
Pages 1195-1206 | Received 11 Feb 2023, Accepted 28 Apr 2023, Published online: 17 May 2023

Figures & data

Figure 1 Flow chart.

Figure 1 Flow chart.

Table 1 General Demographic Background, Blood Routine, and Biochemical Indicators Among the Three Groups

Table 2 Comparison of Resilience, Automatic Thoughts and Stigma Among Three Groups

Table 3 Correlation Analysis Among Clinical Symptoms and Resilience, Stigma and Automatic Thinking

Table 4 Correlation Analysis Among Biochemical Parameters with Stigma, Resilience and Automatic Thoughts

Table 5 Stepwise Linear Regression Analysis of Stigma, CD-RISC and Automatic Thinking

Figure 2 ROC curve analysis was used to predict the psychological structure impairment of MetS groups by using dysbiosis of MetS parameters and demographic and clinical characteristics. (A) Independent risk factors used to predict stigma; (B) Independent risk factors used to predict ATQ; (C) lndependent risk factors used to predict CD-RISC.

Note: ATQ, Automatic Thoughts Questionnaire; TG, triglyceride; HDL-C, high-density lipoprotein; CD-RISC, Connor-Davidson Resilience Scale; WBC, white blood cell; Cr, creatinine.
Figure 2 ROC curve analysis was used to predict the psychological structure impairment of MetS groups by using dysbiosis of MetS parameters and demographic and clinical characteristics. (A) Independent risk factors used to predict stigma; (B) Independent risk factors used to predict ATQ; (C) lndependent risk factors used to predict CD-RISC.