We tested the reliability, sensitivity, and validity of a Chinese translation of the Schizophrenia Quality of Life Scale Revision 4 (SQLS-R4). One hundred Taiwanese individuals with schizophrenia were recruited. The internal consistency reliability was satisfactory for both the psychosocial and vitality domains (Cronbach's a = 0.92, 0.84). The test-retest reliability was also high (psychosocial: ICC = 0.84, vitality: ICC = 0.84) for those individuals whose psychological conditions remained stable between the two-week interval. However, the responsiveness coefficient for those with considerable changes in psychological conditions ranged from very small to moderate, suggesting either low responsiveness for the vitality domain or a complex relationship between the change of psychological conditions and quality of life, and the need to estimate responsiveness more conclusively in a future intervention study. The convergent validity was supported by moderate-to-large correlations between domains measuring related constructs of the SQLS-R4 and SF-36 (r = -0.65 to -0.67). Overall, the results of this study provide preliminary evidence for the reliability and validity of the SQLS-R4 used in Taiwanese individuals with schizophrenia. This study provides a common ground for international researchers to understand quality of life in Taiwanese patients with schizophrenia.
Objectives. To validate the Schizophrenia Quality of Life Scale Revision 4 (SQLS-R4) Chinese version with factor analysis. We also investigated factors influencing quality of life results. Method. One hundred patients with schizophrenia participated in this study. Experienced psychiatrists evaluated each patient's current psychological condition to assure intact judgment. Participants then filled out the quality of life questionnaire, SQLS-R4. We used principal component analysis to analyze SQLS-R4 with oblique rotation. We also collected demographic data, another subjective and objective quality of life questionnaire, and information about the functional status of the participants at the same time. Multiple linear regression was used to analyze collected factors which may influence the quality of life of schizophrenic patients. Results. We extracted seven factors that explained a 68.1% variance in the patients' quality of life. The factors were relationships with others, loneliness, exhaustion, depressed thinking, somatic concerns, vitality, and worry. Conclusion. We found that the SQLS-R4 factor analysis provided insights into the structure of the quality of life of patients with schizophrenia. We also found that subjective social participation, subjective health, and depression were quality-of-life-related factors. Whether other factors influence the quality of life in patients with schizophrenia requires further investigation.
Background
Recently studies had showed that the amygdala may take part in the cognitive impairment in schizophrenia (SC). However, the mechanism is still unclear, so we explored the relationship between the amygdala resting state magnetic resonance imaging (rsMRI) signal and cognitive function, to provide a reference for the follow-up study.
Methods
We collected 59 drug-naïve SCs and 46 healthy controls (HCs) from the Third People’s Hospital of Foshan. The rsMRI technique and automatic segmentation tool were used to extract the volume and functional indicators of the SC’s amygdala. The Positive and Negative Syndrome Scale (PANSS) was used to assess the severity of the disease, and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was used to assess cognitive function. Pearson correlation analysis was used to compare the relationship between the structural and functional indicators of the amygdala and PANSS and RBANS.
Results
(1) There was no significant difference between SC and HC in age, gender and years of education. Compared with HC, the PANSS score of SC increased and the RBANS score decreased significantly. Meanwhile, the left amygdala volume decreased (t=-3.675, p < 0.001), and the Fractional amplitude of low-frequency fluctuations (FALFF) values of bilateral amygdala increased (tL=3.916, p < 0.001; tR=3.131, p = 0.002). (2) The volumes of the left amygdala were negatively correlated with the PANSS score (rL=-0.243, p = 0.039). While the FALFF values of the bilateral amygdala were positively correlated with the PANSS score (rL=0.257, p = 0.026; rR=0.259, p = 0.026). Bilateral amygdala volumes and FALFF values were positively correlated (rL=0.445, p < 0.001; rR=0.326, p = 0.006) and negatively correlated with RBANS score (rL=-0.284, p = 0.014; rR=-0.272, p = 0.020), respectively.
Conclusion
The abnormal volume and function of the amygdala play important roles in the disease process of SC, and are closely related to cognitive impairment.
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