Search

Background: Anxiety frequently occurs with major depressive disorder (MDD) but to a different extent in the various subtypes. Psychotic major depression (PMD) is a severe subtype of MDD that is under-identified and under-studied. We investigated the prevalence and related risk factors of anxiety in PMD patients.Methods: A total of 1718 first episode and drug naïve MDD patients were recruited. Measures included the Hamilton Depression Scale (HAMD), Clinical Global Impression-Severity scale (CGI-S), Hamilton Anxiety Scale (HAMA), and positive symptom scale of the Positive and Negative Syndrome Scale (PANSS), thyroid hormone levels, and metabolic parameters.Results: 171 of the entire MDD study sample met the criteria for the PMD subtype. The prevalence of severe anxiety was much higher in PMD patients (22.8 %) than in non-PMD patients (0.4 %) (χ2 = 294.69, P < 0.001, OR = 75.88, 95 % CI = 31.55-182.52). Compared to PMD patients without severe anxiety, PMD patients with severe anxiety had higher HAMD score, CGI-S score, positive symptom subscale score, suicide attempts, blood pressure, thyroid-stimulating hormone (TSH), anti-thyroglobulin (TgAb), and thyroid peroxidases antibody (TPOAb) levels. Furthermore, logistic regression analysis indicated that HAMD score and TSH levels were associated with severe anxiety in PMD patients.Limitations: Our cross-sectional study cannot explain the causal relationship between anxiety severity and risk factors in PMD patients.Conclusions: Our results suggest that PMD patients are more likely to experience severe anxiety than non-PMD patients. The severity of depression and TSH levels are independent risk factors for anxiety in PMD patients. [ABSTRACT FROM AUTHOR]

Self-management is essential for patients who require regular hemodialysis treatment. This study aimed to explore the relationships between social support, sense of coherence (SOC), and self-management in hemodialysis patients and to examine whether SOC plays a mediating role. In a cross-sectional study, 402 hemodialysis patients from four tertiary hospitals were recruited. Data were analyzed using structural equation modeling. Social support, SOC, and self-management were significantly correlated with each other. The proposed model provided a good fit to the data. Social support had a direct effect on self-management and SOC, partially mediated the effect of social support on self-management (β = 0.248, p = 0.001). Social support and SOC explained 69% of the variance in self-management. Our findings indicate that health care providers can enhance social support with an emphasis on strengthening SOC strategies to better improve self-management in hemodialysis patients. [ABSTRACT FROM AUTHOR]

This cross-sectional study assessed the overall symptom burden, including the prevalence, frequency, severity, and distress of symptoms among hemodialysis patients, and explored the relationship between demographic characteristics, clinical variables, self-management, sense of coherence, social support, and symptom burden in these patients. Herein, a regression analysis was performed to determine associations with symptom burden. The mean score of symptom burden among the participants (n = 382) was 74.12, with an average number of 12 symptoms. The analysis revealed that self-management, sense of coherence, and social support were negatively associated with the overall symptom burden. The multiple regression model showed that 48.6% of the variance in symptom burden was explained by meaningfulness, emotional management, daily urine output, subjective support, gender, and manageability. These findings contribute to the knowledge of symptom burden among hemodialysis patients and some new predictors (self-management, sense of coherence, and social support) of their symptom burden. [ABSTRACT FROM AUTHOR]