Hui Li’s research while affiliated with Sichuan University and other places

Objective: This study developed and evaluated a structured, 8-week community-based resilience group intervention for Chinese parents who have lost their only child and exhibit extended bereavement and suboptimal levels of resilience. Method: Eighty parents were recruited from two communities and allocated to the intervention group (n = 42) or the waitlist-control group (n = 38). The 8-week community-based resilience group intervention was developed based on Kumpfer’s resilience theory and previous studies. The primary outcomes were resilience and depression, and the secondary outcomes were posttraumatic growth (PTG), subjective well-being (SWB), social avoidance (SAD), sleep quality, and serum dehydroepiandrosterone (DHEA) levels. Outcomes were assessed at four time points: before (T0), immediately after (T1), 3 months after (T2), and 12 months after (T3) the intervention. The data were analyzed following the intention-to-treat principle. Results: The general linear model results indicated a significant Group × Time interaction effect on resilience, depression, PTG, SWB, and SAD, with medium and large effect sizes (Cohen’s d: 0.58–1.41). Those in the intervention group experienced better resilience from T1 to T2 and better depression, PTG, SWB, and SAD from T1 to T3 compared to the waitlist-control group. No significant differences were found between groups over time for sleep quality and DHEA levels. Conclusions: This intervention effectively increased resilience by T2 and improved PTG, SWB, depression, and SAD by T3 compared with control group, which can be implemented in the local community setting and collaborated with social workers to assist bereaved parents in the future.

Purpose Sleep problems are a significant issue in patients with lung cancer, and resilience is a closely related factor. However, few studies have identified subgroups of resilience and their relationship with sleep quality. This study aimed to investigate whether there are different profiles of resilience in patients with lung cancer, to determine the sociodemographic characteristics of each subgroup, and to determine the relationship between resilience and sleep quality in different subgroups. Methods A total of 303 patients with lung cancer from four tertiary hospitals in China completed the General Sociodemographic sheet, the Connor-Davidson Resilience Scale, and the Pittsburgh Sleep Quality Index. Latent profile analysis was applied to explore the latent profiles of resilience. Multivariate logistic regression was used to analyze the sociodemographic variables in each profile, and ANOVA was used to explore the relationships between resilience profiles and sleep quality. Results The following three latent profiles were identified: the “high-resilience group” (30.2%), the “moderate-resilience group” (46.0%), and the “low-resilience group” (23.8%). Gender, place of residence, and average monthly household income significantly influenced the distribution of resilience in patients with lung cancer. Conclusion The resilience patterns of patients with lung cancer varied. It is suggested that health care providers screen out various types of patients with multiple levels of resilience and pay more attention to female, rural, and poor patients. Additionally, individual differences in resilience may provide an actionable means for addressing sleep problems.

Background: Although the number of studies focusing on life satisfaction in women with cervical cancer is increasing, there are limited studies on the pathway between social support and life satisfaction in this population. Objective: This study explored the pathway between social support and life satisfaction in women with cervical cancer by examining the serial mediating effects of self-care self-efficacy, coping strategies, and depressive symptoms. Methods: In this cross-sectional study, a total of 292 women with cervical cancer completed a questionnaire for assessing social support, self-efficacy, coping strategies, depressive symptoms, and life satisfaction. Structural equation modeling was used to test the direct and/or indirect effects of the variables on life satisfaction. Results: Structural equation modeling analysis indicated that self-efficacy, coping strategies, and depressive symptoms mediates the effect of social support on life satisfaction. Direct paths from social support to life satisfaction, social support to self-efficacy, self-efficacy to coping strategies, coping strategies to depressive symptoms, and depressive symptoms to life satisfaction were significant (P < .05). Moreover, indirect paths from social support to life satisfaction, self-efficacy to life satisfaction, and coping strategies to life satisfaction were also significant (P < .05). Conclusions: Self-care self-efficacy, coping strategies, and depressive symptoms are potential pathways through which social support may affect life satisfaction in women with cervical cancer. Implication: Healthcare providers, family, and friends should offer more social support to the patients and make efforts to strengthen their self-care self-efficacy, facilitate active coping, and alleviate depressive symptoms to improve women's life satisfaction.

Background The prognosis of patients undergoing lung cancer treatment might be influenced by mental health status. Resilience is one of the important predictors to reflect the mental health status. It has been shown that patients with higher levels of social support, self-care self-efficacy, and positive coping have greater resilience. This study aimed to determine the mediating role of self-efficacy and positive coping in the relationship between social support and psychological resilience in patients with lung cancer. Method This is a cross-sectional study that was conducted in in the oncology departments and thoracic surgical wards of four tertiary hospitals in Hunan Province, China, between November 2016 and November 2017. Three hundred and three patients who were undergoing treatment for lung cancer volunteered their participation in the study. Participants completed questionnaires, including the Chinese version of the Perceived Social Support Seale Scale, the Chinese version of Strategies Used by People to Promote Health Scale, and the Chinese version of the Connor-Davidson Resilience Scale. Results Mediation analysis indicated that self-care self-efficacy and social support partially mediate the effect of social support on resilience. Direct paths from social support to self-efficacy, self-efficacy to positive coping, positive coping to psychological resilience, self-efficacy to psychological resilience, and social support to psychological resilience were significant (p < 0.001). The indirect paths from social support to self-efficacy and self-efficacy to psychological resilience were also significant. The chain mediation from social support to self-efficacy, self-efficacy to positive coping, and positive coping to resilience were significant. Conclusion Self-efficacy and positive coping play an important role in the relationship between social support and resilience in patients receiving cancer treatment. Social support not only directly influenced psychological resilience but also indirectly influenced psychological resilience through self-efficacy and positive coping.

Aim The aim was to examine the subgroups of work engagement in frontline nurses during the COVID‐19 pandemic. Background The pandemic may affect the work engagement of nurses who have direct contact with infected patients and lead to a poor quality of care. Identifying classification features of work engagement and tailoring interventions to support frontline nurses is imperative. Design This study utilized a cross‐sectional study design. Methods Three hundred fifty‐five nurses were enrolled in this cross‐sectional study from 14 February to 15 April 2020. A latent profile analysis was performed to identify classification features of work engagement. Multiple logistic regression analyses were used to examine predictors of profile membership. Results A four‐profile model provided the best fit. The four profiles were titled ‘low work engagement’ (n = 99), ‘high vigour‐low dedication and absorption’ (n = 58), ‘moderate work engagement’ (n = 63) and ‘high work engagement’ (n = 135). A regression analysis suggested that young nurses and nurses who were the only children of their family were more likely to be in the ‘low work engagement’ and ‘high vigour‐low dedication and absorption’ groups. Conclusion This study highlights the importance of tailoring interventions for frontline supporting nurses by considering their distinct work engagement patterns, especially during the COVID‐19 pandemic, to improve the promotion of work satisfaction and quality of care. Impact This was the first study to explore the latent profiles of work engagement in frontline nurses during the COVID‐19 pandemic. Over 40% of nurses were in the ‘low work engagement’ and ‘high vigour‐low dedication and absorption’ groups and reported low levels of work engagement. Understanding different patterns of work engagement in frontline nurses can help nursing managers provide emotional, material and organizational support based on the features of each latent profile, which may improve the quality of care and patient safety.

Purpose: The prognosis of patients with lung cancer might be influenced by mental health. Psychological resilience is one of the important indicators to reflect the psychological state. It has been shown that patients with higher social support and self-efficacy have better psychological resilience. The aim of this study was to determine whether or not self-efficacy mediates the relationship between social support and psychological resilience in patients with lung cancer. Methods: A cross-sectional study of 303 lung cancer patients was conducted. Participants completed questionnaires, including the Chinese version of the Perceived Social Support Seale Scale, the Chinese version of Strategies Used by People to Promote Health Scale, and the Chinese version of the Connor-Davidson Resilience Scale. Results: Mediation analysis indicated that self-efficacy had a partially mediating effect between social support and psychological resilience. Direct paths from social support to self-efficacy, self-efficacy to psychological resilience, and social support to psychological resilience were significant (p< 0.001). Moreover, indirect paths from social support to self-efficacy and self-efficacy to psychological resilience were also significant at the 95% level [0.120–0.550]; the mediating effect accounted for 38.16% of the total effect. Conclusions: Self-efficacy plays an important role in the relationships between social support and psychological resilience in cancer patients. Social support not only directly influenced the psychological resilience, but also indirectly influenced psychological resilience through self-efficacy.

Background: Resilience is important for patients with cancer. However, the relationships among factors affecting the resilience of patients with lung cancer have not been studied sufficiently. Objective: The aim of this study was to clarify the relationships among social support, resilience, self-efficacy, and symptom distress among patients with lung cancer. Methods: Through simple random sampling, 303 patients with lung cancer from 4 tertiary hospitals in Changsha, China, were recruited for a cross-sectional descriptive correlational survey. Data were collected using demographic and disease-related information, the Connor-Davidson Resilience Scale, Strategies Used by People to Promote Health, the Perceived Social Support Scale, and the Symptom Distress Scale. Results: Patients' mean total resilience score was 50.01 ± 15.25. The fit indices for the model indicated a good fit. Social support had multiple effects on resilience; specifically, it had direct and indirect effects through the mediating role of self-efficacy. Symptom distress had only an indirect effect on resilience through self-efficacy. Conclusions: Social support, symptom distress, and self-efficacy are key factors associated with resilience in patients with lung cancer. These factors had direct and indirect effects on each other and on resilience. Implications for practice: To enhance resilience among patients with lung cancer, interventions that strengthen self-efficacy, provide social support, and reduce symptom distress should be developed.

This quasi-experimental study aimed to evaluate the positive psychological intervention of recording three good things on alleviating nurses' burnout. Eighty-seven nurses with burnout were recruited. Nurses in the study group recorded three good things using communication tool WeChat for six months, no records were made in the control group. After intervention, the score of exhaustion decreased considerably for nurses in the study group. Nurses recording three good things on average twice a week returned the lowest score of exhaustion. This intervention combined with appropriate surveillance and encouragement is recommended to reduce nurses' burnout and create a positive work environment.