Relationship of sleep-quality and social-anxiety in patients with breast cancer: a network analysis.

BACKGROUND: There is a complex relationship between social anxiety and sleep quality. However, network analysis studies of associations between social anxiety and sleep quality are lacking, particularly among patients with breast cancer. The current study aimed to extend this research to a sample of patients with breast cancer and to examine symptom-level associations between social anxiety and sleep quality using network analysis. METHODS: Network analysis was conducted to explore their associations and identify bridge items of social anxiety and sleep quality. RESULTS: The network structure revealed 9 important edges between social anxiety and sleep quality. "Subjective sleep quality" had the highest EI value in the network. "Working difficulty under watching" and "Sleep disorders" had the highest BEI values in their own communities. CONCLUSION: There are complex pathological correlation pathways between social anxiety and sleep quality in breast cancer patients. "Subjective sleep quality", "Working difficulty under watching" and "Sleep disorders" have the potential to be intervention targets for sleep disorder-social anxiety comorbidity. Medical staff can take corresponding interventions according to the the centrality indices and bridge centrality indicators identified in this study, which is likely to effectively reduce the comorbidity of sleep disorders and social anxiety.

Characteristics and influencing factors of social isolation in patients with breast cancer: a latent profile analysis.

PURPOSE: The goal of this study is to investigate the social isolation (SI) subtypes of patients with breast cancer (BC) and to explore its influencing factors. METHODS: A sample of 303 BC patients participated in the study from September to December, 2021. Latent profile analysis (LPA) was performed to identify SI clusters based on the three sub-scales of the Chinese version of the Social Anxiety Scale, the Chinese version of the Social Avoidance and Distress Scale, and the Chinese version of the Loneliness Scale. RESULTS: We found that SI can be divided into three categories: high-level (Class 1), middle-level (Class 2), and low-level (Class 3), accounting for 20.46%, 33.00%, and 46.54%, respectively. Compared to Class 3, Class 1, which had the lower average monthly income per family member (RMB) (< 3000: OR = 5.298, P = .021; 3000 ~ 5000: OR = 5.320, P = .018), was more likely to suffer from SI due to occupation (Laborer: OR = 12.023, P = .009). Surgery (OR = 14.138, P < .001; OR = 2.777, P = .020), chemotherapy (OR = 10.224, P = .001; OR = 3.545, P = .001); poorer family functioning (OR = .671, P < .001; OR = .801, P = .002), and lower levels of self-transcendence (OR = .806, P < .001; OR = .911, P < .001) were important influencing factors for SI in Class 1 and Class 2 compared to Class 3. CONCLUSION: SI is classifiably heterogeneous among patients with BC. Strategies that identify characteristics of SI and give targeted intervention focusing on family functioning and improving self-transcendence levels contribute to the prevention of SI among patients with BC.

Effectiveness of three exercise programs and intensive follow-up in improving quality of life, pain, and lymphedema among breast cancer survivors: a randomized, controlled 6-month trial.

PURPOSE: Postoperative complications of breast cancer (BC) seriously affect the quality of life (QOL) of survivors. Physical activity is related to prevention of complications and improvement of QOL. Follow-up can keep patients motivated to exercise. This study aimed to (1) compare the effect of three exercise programs on lymphedema, pain, and QOL in BC patients and (2) explore the effect of intensive follow-up on the outcomes of exercise programs. METHODS: A single-blind randomized parallel controlled trial with a 6-month intervention was carried out in China in 2021. The study sample included 200 women with BC. The patients were randomly divided into 4 groups. G0 (control group) was joint mobility exercise (JME) group; G1 was joint mobility exercise + intensive follow-up (IF) group; G2 was JME + aerobic exercise (AE) + IF group; and G3 was JME + progressive resistance exercise (PRE) + IF group. Outcome measures were evaluated at baseline (T1), 3 months post-intervention (T2), and 6 months post-intervention (T3). The following instruments and measurements were administered before and after the intervention: the Functional Assessment of Cancer Therapy-Breast (FACT-B) instrument, the numerical rating scale (NRS), and the relative volume change (RVC). Verificating aim 1 is by comparing the results of G1, G2, and G3, and verificating aim 2 is achieved by comparing G0 and G1. Differences before and after the intervention were determined by analysis of variance of repeated measures and Kruskal-Wallis nonparametric analysis of variance. RESULTS: Among the exercise programs, JME + PRE + IF resulted in the best improvement in QOL (T2: ΔG3-G0 = 13.032, P = 0.008; T2: ΔG3-G1 = 13.066, P < 0.001; ΔG3-G0 = 17.379, P < 0.001). For pain relief, JME + AE + IF had the best improvement (T3: ΔG2-G1 = - 0.931, P = 0.010; ΔG2-G0 = - 1.577, P < 0.001). For the prevention of lymphedema, JME + AE + IF (Z = 2.651, P = 0.048) and JME + PRE + IF (Z = 3.277, P = 0.006) had the similar effect, but JME + PRE + IF is better than JME + AE + IF. CONCLUSION: JME + PRE have the best effect in improving the QOL and preventing lymphedema after surgery. In improving pain, the effect of JME + AE appears earlier, and the overall effect of JME + PRE is better. In addition, long-term and planned monitoring and follow-up are also important.

Trajectories and predictors of social avoidance in female patients with breast cancer.

Background: Social avoidance plays an important role in influencing quality of life among patients with breast cancer. Social avoidance behaviors change with treatment periods. However, the trajectory patterns and the predictive factors have not been fully studied. Objective: This study examined the growth trajectory of social avoidance and its predictors in patients with breast cancer. Materials and methods: A total of 176 patients with breast cancer in a university hospital in Shaanxi Province, China, were followed up four times over 6 months following surgery, and data from the final 144 patients were analyzed. The growth mixed model (GMM) was used to identify the trajectory categories, and the predictive factors of the trajectory types were analyzed by logistic regression. Results: The best-fit growth mixture modeling revealed three class models: persistent high social avoidance group (Class 1), social avoidance increased first and then decreased group (Class 2), and no social avoidance group (Class 3), accounting for 13.89, 31.94, and 54.17% of patients, respectively. Single-factor analysis showed that family income per capita, residence, and temperament type were related to the social avoidance trajectory. Logistic regression analysis showed that only temperament type was an independent predictor of the social avoidance trajectory, and patients with melancholia were more likely to have persistent high social avoidance. Conclusion: Our study proved the heterogeneity of social avoidance behaviors and the influencing effect of temperament type on the development of social avoidance behaviors in Chinese patients with breast cancer. Health professionals should pay more attention to patients who are at higher risk of developing a persistent social avoidance pattern and provide target interventions.

Occupational Stress and the Quality of Life of Nurses in Infectious Disease Departments in China: The Mediating Role of Psychological Resilience.

Aim: We aim to explore the impact of occupational stress on the quality of life of nurses in infectious disease departments and to explore the mediating role of psychological resilience on this impact. Background: Sudden public health events and the prevalence of infectious diseases give nurses in infectious disease departments a heavy task load and high occupational stress, which can affect their quality of life, and which is closely related to the quality of clinical care they provide. There are few existing studies on occupational stress, psychological resilience, and the quality of life of nurses in infectious disease departments. Methods: We collected data from infectious-disease-specialized hospitals or infectious disease departments of general hospitals in China. In total 1,536 nurses completed questionnaires: the Effort-Reward Imbalance Questionnaire, the Connor-Davidson Resilience Scale, and the World Health Organization Quality of Life Brief Scale. We use a structural equation model to test the mediating role of the psychological resilience in the relationship between occupational stress and quality of life. Results: Among 1,536 participants, 88.2% experienced an effort-reward imbalance. The average scores for psychological resilience and quality of life were 56.06 (SD = 14.19) and 51.80 (SD = 8.23), respectively. Our results show that occupational stress is negatively correlated with psychological resilience (r = -0.28, p < 0.01) and quality of life (r = -0.44, p < 0.01). In addition, we find that psychological resilience is positively correlated with quality of life (r = 0.55, p < 0.01) and that the indirect effect of occupational stress on quality of life through psychological resilience is significant (ß = -0.036, 95% CI: 0.027 to 0.426), indicating at least a partial mediating role of psychological resilience. Conclusion: A high proportion of nurses in infectious disease departments felt that their jobs' effort-reward imbalance was high. These nurses' scores for psychological resilience were in the middle level among Chinese people generally, but their quality of life was lower than the Chinese norm. We conclude that occupational stress has an important impact on their quality of life, and psychological resilience plays a partial mediating role on this impact. Implications for Nursing Management: Hospital managers can benefit from paying attention to the occupational stress of nurses and helping to improve the quality of life of nurses by alleviating this occupational stress and improving psychological resilience.