Recovery journey of people with a lived experience of schizophrenia: a qualitative study of experiences.

BACKGROUND: Mental health recovery involves an integration of clinical and psychosocial frameworks. The recovery journey of individuals diagnosed with schizophrenia and the factors that influence it have been extensively studied. Because the recovery journey is culturally influenced, we examined the recovery process expriences of individuals diagnosed with schizophrenia in China, focusing on the influence of a Confucian-dominated collectivist and family-centred culture. METHODS: An Interpretive Phenomenological Analysis (IPA) study was conducted; data were gathered through in-depth interviews with 11 individuals with lived experience of schizophrenia. RESULTS: Four themes were identified in this study: traumatic illness experiences, influence of the family, motives for recovery, and posttraumatic growth, comprising ten subthemes. "For the family" and "relying on oneself" are the main drivers of recovery for individuals with a Chinese cultural background. Some people believe that taking care of themselves is an important way to ease the burden on their families and treat them well. There is a link between 'for the family' and 'relying on oneself. CONCLUSIONS: Individuals living with schizophrenia in China have undergone significant traumatic experiences and have profound interactions with their families. Post-traumatic growth reflects an increase in the individual's connection to others and individual agency. It also suggests that the individual is not receiving enough support outside of the family. The impact of individual agency and family relationships should be considered in services that promote recovery, and clinic staff should enhance support outside the home to the individuals.

Impact of clozapine monotherapy on gut microbiota and metabolism in people with schizophrenia.

Background: Clozapine is considered one of the most effective antipsychotic drugs, but it is most likely to cause metabolic abnormalities. Researchers have studied the causes of metabolic abnormalities caused by clozapine from multiple perspectives, but the reasons remain unclear. Purpose: Characterize the gut microbiota of people with schizophrenia taking clozapine, exploring the association between gut microbiota and glucose lipid metabolic markers in schizophrenia patients taking clozapine. Research design: Sixty-one long-term inpatients with schizophrenia in clozapine monotherapy were selected as study subjects. We got four subgroups by sex and the presence of metabolic syndrome. Data analysis: 16s analysis technology was applied at the genus level to determine the classification of gut microbiota. Then we compared the characteristics of gut microbiota and the association of gut microbiota with glucose lipid metabolic markers in each group. Findings: We found differences in the diversity of gut microbiota among groups. The association between gut microbiota and glucose lipid metabolic markers was complicated. Gender was an important differentiating factor. Oscillibacter has a low abundance. However, it was the only genus associated with glycemic or lipids in each group. Among metabolic syndromes, Gemmiger was positively correlated with most lipids in females but negatively correlated in males, showing gender differences. In female non-metabolic syndromes, Bifidobacterium lost its probiotic character; instead, showing pathogenicity, which has strong positive correlations with fasting blood glucose and low-density lipoprotein but negative correlations with Apolipoprotein A1. Maybe schizophrenia, taking clozapine, and gender factors influenced the gut microbiota, which complicated our findings. The significance of the results remains to be determined by in-depth studies.

The psychometric properties of the barriers to insulin treatment questionnaire in Chinese patients with type 2 diabetes mellitus using insulin.

Aim: The objective of this study was to translate the Barriers to Insulin Treatment Questionnaire (BIT) into Chinese and test its psychometric properties in middle-aged and elderly type 2 diabetes mellitus (T2D) patients using insulin in the Han people of urban China. Methods: We established the Barriers to Insulin Treatment Questionnaire in Chinese (BIT-C). We selected 296 patients with T2D for testing BIT-C's the reliability and validity, of which 120 patients were retested four weeks later. Another 200 patients with T2D were selected to perform the confirmatory factor analysis (CFA). Results: The final BIT-C consisted of 11 items (BIT-C-11) and four factors. The explained variances of the BIT-C-11 and its four factors were 90.153%, 51.308%, 18.810%, 10.863%, and 9.173%. CFA validated that the four-factor model fit with the data of the BIT-C-11. Standardized factor loadings ranged between 0.77 and 0.90. The Cronbach's α coefficients of the BIT-C-11 and its four factors were 0.903, 0.952, 0.927, 0.938, and 0.917. Correlation analysis was performed between the BIT-C-11 and General Adherence Scale in Chinese (GAS-C) to calculate the criterion-related validity (r = 0.598, p < 0.001). The correlation coefficient r of the BIT-C-11's test-retest reliability was 0.810 (p < 0.001). Conclusion: The BIT-C-11 has good reliability and validity. It can be used for psychological resistance to insulin therapy studies of middle-aged and elderly patients with T2D using insulin in the Han people of Chinese cities.

Clinical implications of panic attack in Chinese patients with somatoform disorders.

OBJECTIVE: Somatoform disorders are frequently accompanied by panic attack and causes many clinical symptoms. This study aimed to compare clinical features between patients with and without panic attack in somatoform disorder. METHODS: In this cross-sectional study, 341 patients with somatoform disorder according to the MINI-International Neuropsychiatric Interview (M.I.N·I.) were divided into two groups depending on with or without comorbidity of a panic attack, somatoform disorder with a panic attack (SPA, n = 88) and those without panic attack (SNPA, n = 253). Patient Health Questionnaire (PHQ-15), Patient Health Questionnaire (PHQ-9) and 7-item Generalized Anxiety Disorder (GAD-7) scale was used to identify correlations between SPA group and SNPA group, respectively. Correlation analysis and multivariate regression analysis were used to determine the effects of demographic factors and psychiatric diagnoses on somatic, depressive and anxiety symptoms separately. RESULTS: The SPA group's PHQ-15, PHQ-9 and GAD-7 scores were significantly higher than those of the SNPA group. Multiple linear regression analyses revealed that the associated factors for PHQ-15 were gender and panic disorder. PHQ-9 was just significantly associated with panic disorder. GAD-7 was significantly associated with education degree and panic disorder. CONCLUSIONS: Our results suggest that somatoform disorder patients with panic attack suffered more severe clinical symptoms than those without a panic attack.

The Psychometric Properties of General Adherence Scale in Chinese (GAS-C) in Patients with Type 2 Diabetes Using Insulin.

PURPOSE: Translate General Adherence Scale (GAS) into Chinese and test its psychometric properties in middle-aged and elderly type 2 diabetes (T2D) patients using insulin in the Han people of urban China. SUBJECTS AND METHODS: We translated the GAS into Chinese and established General Adherence Scale in Chinese (GAS-C). 136 T2D subjects were selected for testing GAS-C's reliability and validity, of which 100 study subjects were retested with GAS-C two weeks later. The other 200 T2D subjects were selected for performing Confirmatory Factor Analysis(CFA). The ceiling effect and floor effect of GAS-C data were checked. RESULTS: No data was lost in our research. In exploratory factor analysis(EFA), the Kaiser-Meyer-Olkin measure of sampling adequacy (KMO) =0.899, Bartlett's Test's χ2=611.821 (df=10 p<0.001). The communalities of the items were between 0.740 and 0.862; The values of Measure of Sampling Adequacy (MSA) were between 0.883 and 0.945. All five items entered the factor analysis process. A common factor was extracted, and it could explain 81.403% of the total variance. CFA validated the.one-factor model was good fits with the data of GAS-C (Ratio of Chi-square to Degrees of Freedom (CMIN/DF)=2.032, Goodness of Fit Index (GFI) =0.981, Comparative Fit Index (CFI) =0.996, Tucker-Lewis Index (TLI) =0.992, Root Mean Square Residual (RMR) =0.011, Root Mean Square Error of Approximation (RMSEA) =0.072). Correlation analysis was performed between GAS-C and MMAS-8 to calculate the criterion-related validity (r=0.542 p<0.001). The internal consistency reliability α=0.942, Intraclass Correlation Coefficient (ICC)= 0.941 (95% CI 0.924-0.955). The correlation coefficient r of the test-retest reliability was 0.772 (p<0.001). Spearman-Brown coefficient of split-half was 0.939. There was no floor effect and ceiling effect on the data. CONCLUSION: GAS-C has good reliability and validity. It can be used for general adherence studies of middle-aged and elderly type 2 diabetic patients using insulin in the Han people of Chinese cities.