Quality of life in patients with comorbid serious mental illness and chronic diseases: A structural equation model.

AIMS: To investigate the factors affecting the quality of life among adults with comorbid serious mental illness and chronic diseases. DESIGN: Descriptive, cross-sectional study design. METHODS: In total, 204 patients with serious mental illness were recruited from two hospitals. Self-reported data were collected using the Brief Psychiatric Rating Scale, Internalised Stigma of Mental Illness, Patient Activation Measure and brief version of the World Health Organization Quality of Life Instrument. Data were collected between July 2018 - January 2019. The structural equation model was applied to examine the associations among the study variables. RESULTS: Internalized stigma (ß = -0.479, p = .002) had the greatest direct effect on quality of life, followed by patient activation (ß = 0.238, p = .002), severity of comorbidities (ß = -0.207, p = .002) and psychiatric symptoms (ß = -0.186, p = .006). In addition, psychiatric symptoms directly influenced the severity of comorbidities, which in turn directly influenced internalized stigma and then in turn directly influenced patient activation and ultimately influenced quality of life. CONCLUSION: The relationship between internalized stigma and quality of life is significantly mediated by patient activation. This finding provides a theoretical basis for developing patient activation interventions for patients with comorbid mental and chronic diseases, which potentially improve the quality of life of this population. IMPACT: Multiple comorbidities cause impaired quality of life in patients with serious mental illnesses. We found that patient activation plays an important role in the management of chronic diseases for achieving more favourable quality of life, but this is negatively affected by internalized stigma. These findings can help mental health professionals develop tailored intervention strategies to enhance quality of life by promoting patient activation and reducing internalized stigma, psychiatric symptoms, and comorbidity severity in patients with comorbid serious mental illnesses and chronic diseases.

Gender differences in metabolic syndrome risk factors among patients with serious mental illness.

The prevalence of metabolic syndrome and its components continue to increase among patients with serious mental illness. This cross-sectional study investigated whether metabolic syndrome prevalence and risk factors differ between male and female patients with serious mental illness. In total, 260 eligible patients were recruited from two hospitals. The data on demographic characteristics, lifestyle behaviour factors, biochemistry, and anthropometry were collected. Analyses were performed using multivariate logistic regression. Metabolic syndrome prevalence was 40.8% (35.1% in men and 46.8% in women). Among patients aged 40-49 years, metabolic syndrome prevalence was higher in men; however, the trend was reversed among patients aged 50 years or older. Notably, gender-specific metabolic syndrome risk factors were observed. In men, they included low education level, high body mass index (BMI), prolonged illness, comorbid physical illness, and diagnosis of bipolar disorder, whereas they included being married, old age, and high BMI in women. Our findings suggest that mental health professionals should consider the gender- and age-based metabolic syndrome prevalence trend in patients with serious mental illness when designing interventions for the study population to minimize metabolic syndrome prevalence.