Interview-based assessment of cognition is a strong predictor of quality of life in patients with schizophrenia and severe negative symptoms

Quality of life and its influencing factors in patients with schizophrenia

Schizophrenia is a chronic mental disease. With the change of medical model, quality of life has gradually become an important prognostic indicator for patients with schizophrenia. People with schizophrenia have a lower quality of life than the general population or people with other chronic diseases, Sociodemographic factors such as age, gender, employment, education level, income and living situation; clinical factors such as psychiatric symptoms, medication compliance and insight; and psychosocial factors such as social support, cognition, stigma, self-esteem and needs are the main influencing factors for schizophrenia patients. Medication and psychological interventions such as social skills training, family intervention, cognitive correction and cognitive behavioral therapy can be used to improve the quality of life of patients with schizophrenia. Understanding the factors affecting the quality of life of schizophrenia patients and the improvement measures helps to provide reference for improving their quality of life.

The Predictive Role of Aberrant Metabolic Parameters and Negative Automatic Thinking on the Cognitive Impairments Among Schizophrenia Patients with Metabolic Syndrome

PURPOSE

The study aimed to clarify the cognitive impairments of schizophrenia with metabolic syndrome while evaluating their potential as risk factors.

PATIENTS AND METHODS

We recruited 153 participants and divided them into three groups according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, criteria and the guideline standards for the prevention and treatment of dyslipidemia in Chinese adults in 2007 for metabolic syndrome, as follows: healthy control group (n = 47); nonmetabolic syndrome group (n = 58); and metabolic syndrome group (n = 48). Psychotic symptoms were evaluated using the Positive and Negative Syndrome Scale. Cognitive function and automatic thinking were estimated using the Montreal Cognitive Assessment Scale, Verbal Fluency Test, and Automatic Thoughts Questionnaire. Serum biochemical parameters were measured by automatic biochemistry analyzer.

RESULTS

One-way ANOVA analysis revealed that differential cognition impairments in schizophrenia patients compared to controls. Furthermore, results of multiple comparisons showed that more serious barriers in orientation, language fluency, and negative automatic thinking existed in the metabolic syndrome group than in the healthy and non-metabolic syndrome groups. Spearman correlation and stepwise linear regression analyses showed that psychopathological symptoms, high waist circumference, and high triglyceride were the predictive factors for negative automatic thoughts, orientation, and language fluency. Those results collectively revealed that high waist circumference, high triglyceride and negative automatic thinking had validity and effectiveness in predicting the cognitive function impairments of the metabolic syndrome group.

CONCLUSION

The present findings strongly supported the notion that aberrant parameters of high waist circumference, high triglyceride and high negative automatic thoughts had validity and effectiveness predictive role for cognitive impairments in the schizophrenics with metabolic syndrome. The schizophrenia patients with metabolic syndrome should receive regular monitoring and adequate treatment for metabolic and psychological risk factors.

Proposing a causal pathway for health-related quality of life in people with psychotic disorders

This study aimed to establish independent predictors for health-related quality of life (HRQoL) in people with psychotic disorders, and the mediating role of global functioning in those relationships. Data for 1642 people collected as part of the second Australian National Survey of Psychosis were analyzed. The Assessment of Quality of Life (AQoL)-4D and the Personal and Social Performance scale were used for assessing HRQoL and global functioning respectively. The study commenced with a theoretical model comprised of 26 sociodemographic and clinical variables. A predictive model for HRQoL was built up using a purposeful selection strategy to arrive at a set of clinically meaningful, independent predictors. The mediating effect of global functioning was then assessed. Seven variables were found to have an independent effect on HRQoL: perception of loneliness, number of negative symptoms, use of psychotropic and anticholinergic medications, course of disorder, lifetime histories of chronic pain and cardiovascular disease and living arrangements at the time of the interview. All variables except perceived loneliness and chronic pain were partially mediated through global functioning. This final model explained 46% of the variance in HRQoL, with loneliness and number of negative symptoms the strongest predictors. Evidence in support of a credible causal pathway for HRQoL in people with psychotic disorders, mediated by global functioning was presented. The importance of the quality of social relationships was highlighted, and potential targets for improving the HRQoL of this population identified.

Phenome-wide and genome-wide analyses of quality of life in schizophrenia

BACKGROUND

Schizophrenia negatively affects quality of life (QoL). A handful of variables from small studies have been reported to influence QoL in patients with schizophrenia, but a study comprehensively dissecting the genetic and non-genetic contributing factors to QoL in these patients is currently lacking.

AIMS

We adopted a hypothesis-generating approach to assess the phenotypic and genotypic determinants of QoL in schizophrenia.

METHOD

The study population comprised 1119 patients with a psychotic disorder, 1979 relatives and 586 healthy controls. Using linear regression, we tested >100 independent demographic, cognitive and clinical phenotypes for their association with QoL in patients. We then performed genome-wide association analyses of QoL and examined the association between polygenic risk scores for schizophrenia, major depressive disorder and subjective well-being and QoL.

RESULTS

We found nine phenotypes to be significantly and independently associated with QoL in patients, the most significant ones being negative (β = -1.17; s.e. 0.05; P = 1 × 10-83; r2 = 38%), depressive (β = -1.07; s.e. 0.05; P = 2 × 10-79; r2 = 36%) and emotional distress (β = -0.09; s.e. 0.01; P = 4 × 10-59, r2 = 25%) symptoms. Schizophrenia and subjective well-being polygenic risk scores, using various P-value thresholds, were significantly and consistently associated with QoL (lowest association P-value = 6.8 × 10-6). Several sensitivity analyses confirmed the results.

CONCLUSIONS

Various clinical phenotypes of schizophrenia, as well as schizophrenia and subjective well-being polygenic risk scores, are associated with QoL in patients with schizophrenia and their relatives. These may be targeted by clinicians to more easily identify vulnerable patients with schizophrenia for further social and clinical interventions to improve their QoL.

Interview and questionnaire assessment of cognitive impairment in subjects at ultra-high risk for psychosis: Associations with cognitive test performance, psychosocial functioning, and positive symptoms

Impaired cognitive test performance is well-documented in subjects at ultra-high risk (UHR) for psychosis. However, assessment of cognitive deficits as manifested in real life is a neglected area of UHR research that may add to the understanding of cognitive impairment and its relationship with psychosocial functioning and positive symptomatology. This study applied the interview-based Schizophrenia Cognition Rating Scale (SCoRS) and the questionnaire-based Behavior Rating Inventory of Executive Function - Adult Version (BRIEF-A) in a cross-sectional sample of 39 UHR subjects and 50 healthy controls. Cognitive test performance, psychosocial functioning, and positive symptoms were also assessed. The UHR subjects demonstrated significant cognitive impairment, with large effect sizes for the SCoRS and BRIEF-A composite outcome variables (rs = -0.67 to -0.80) and a neurocognitive composite score (d = -0.97). Within the UHR group, several significant associations between worse cognitive ratings and worse cognitive test performance (rs = -0.210 to -0.343), poorer psychosocial functioning (rs = -0.058 to -0.728), and worse positive symptoms (rs= 0.415 to 0.478) were found. Worse cognitive test performance showed significant associations with more pronounced positive symptoms (rs = -0.299 to -0.457). Interview and questionnaire assessment may hold promise for supplementing traditional performance-based cognitive assessment in identifying treatment targets in the UHR population.

Determinants of Health-Related Quality of Life in Schizophrenia: Beyond the Medical Model

Background: Improving Quality of Life (QoL) in Schizophrenia is an important treatment objective in the shift toward person-centered and recovery-oriented care. Health-Related Quality of Life (HRQoL) is a focused aspect of QoL that is directly impacted by healthcare intervention. This aim of the current study was to ascertain the clinical determinants of HRQoL in Schizophrenia and their collective contribution to HRQoL. Methods: 157 stable outpatients with schizophrenia were recruited for this study. Data collected included sociodemographic information and clinical characteristics. HRQoL was assessed on the RAND-36. Psychopathology was assessed on the Positive and Negative Syndrome Scale (PANSS) and functioning measured on the Global Assessment Scale (GAS). Findings: Multiple regression revealed that the Physical Health Component (PHC) of the RAND-36 was associated with positive symptoms (beta = -0.218, p = 0.005) and presence of psychiatric comorbidity (beta = -0.215, p = 0.003). The Mental Health Component (MHC) was associated with depressive (beta = -0.364, p < 0.001) and positive (beta = -0.175, p = 0.021,) symptoms. Symptoms, functioning, presence of psychiatric comorbidities, gender and age account for 20.3% of the total variance observed in HRQoL. Conclusion: Depressive and positive symptoms are key clinical determinants of HRQoL in people with schizophrenia. However, the medical model-looking solely at clinical determinants-could not account for a large proportion of variance in HRQoL. Hence, future research beyond the medical model is required to uncover the determinants of HRQoL in Schizophrenia. Identifying these factors will contribute toward developing a holistic and person-centered management plan for people with schizophrenia.

Quality of life in individuals with attenuated psychotic symptoms: Possible role of anxiety, depressive symptoms, and socio-cognitive impairments

Individuals with Clinical High-Risk state for Psychosis (CHR-P) are reported to exhibit impaired quality of life (QOL) similar to that observed in schizophrenia, but its determinants remain unclear. We investigated the QOL of 33 subjects with CHR-P, 45 patients with schizophrenia, and 63 healthy subjects using the Quality of Life Scale (QLS). The CHR-P and schizophrenia groups were administered the Brief Assessment of Cognition in Schizophrenia (BACS), the Schizophrenia Cognition Rating Scale (SCoRS), and the Social and Occupational Functioning Assessment Scale (SOFAS) for socio-cognitive functions; and the Positive and Negative Syndrome Scale (PANSS) and the State-Trait Anxiety Inventory for clinical symptoms. The CHR-P group was also assessed using the Beck Depression Inventory. The CHR-P and schizophrenia groups had a significantly lower QLS score to the same degree compared with controls, which was predominantly associated with the SOFAS, SCoRS, and PANSS negative/general scores. For the CHR-P, the severity of anxiety and depressive symptoms was also correlated with a lower QLS score. Regression analyses demonstrated that the QLS score was predicted by SOFAS (for both groups) and SCoRS (for CHR-P) scores. Our findings suggest the importance of addressing socio-cognitive dysfunctions as well as anxiety and depressive symptoms for better QOL in CHR-P.