Journal List > J Korean Acad Psychiatr Ment Health Nurs > v.23(3) > 1058006

Yoo: Developing a Prediction Model for Quality of Life in Patients with Schizophrenia

Abstract

Purpose

In this study an exploration was done of the quality of lives of patients with schizophrenia in South Korea and factors related to quality of life, and to develop a model that predicts the quality of their lives.

Methods

The participants were 225 patients with schizophrenia, aged 18 and above, residing in Seoul and Gyeonggi-Province. Collected data was analyzed using SAS 9.3 and AMOS 18.0.

Results

Social support and psychological well-being were the two factors that most affected the quality of life in patients with schizophrenia. Symptoms, empowerment, and internalized stigma were not found to influence the quality of the patients' lives. However, symptoms, social support, empowerment, internalized stigma affected the patients' psychological well-being, and psychological well-being was identified as an influential variable for quality of life in patients with schizophrenia. Therefore, symptoms, social support, empowerment, and internalized stigma are influential to the patients' quality of lives through psychological well-being.

Conclusion

These results suggest that the quality of life in patients with schizophrenia should be examined through the variable of psychological well-being as many variables related to the patients' quality of life affect psychological well-being.

Figures and Tables

Figure 1
Hypothetical model.
jkapmhn-23-144-g001
Figure 2
Path diagram for the modified model.
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Table 1
Descriptive Statistics of the Observed Variables (N=225)
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Table 2
Model Fitness of Hypothetical Model and Model Fitness Change of Modified Models
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*e4 (Impulsive and addictive behavior)-e5 (Psychosis) covariance setting; er13 (Economic domain)-er16 (Occupational/social domain) covariance setting; er17 (Affective domain) elimination.

CMIN/DF=Normed χ2; RMR (RMSR)=Root mean-square residual; TLI=Turker-lewis index; CFI=Comparative fit index; SRMR=Standardized root mean residual; CN=Critical N; RMSEA=Root mean square error of approximation; AIC=Akaike information criterion; BIC=Bayes information criterion.

Table 3
Estimates and Effects for the Final Model
jkapmhn-23-144-i003

SMC=Squared multiple correlations.

Notes

This article is a condensed form of the first author's doctoral thesis from Ewha Womans University.

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