Objective: This study aims to explore the association between life events and coping styles, and how resilience and self-esteem mediate the association.Methods: A cross-sectional study was conducted among 981 left-behind adolescents (LBAs) in five junior high schools in Hunan Province, China, from April 13 to April 20, 2020. We utilized self-designed sociodemographic questionnaire, Adolescent Self-Rating Life Events Checklist, Resilience Scale Chinese Adolescent, Rosenberg Self-Esteem Scale, and Simplified Coping Style Questionnaire to assess the mental health of LBAs. Statistic description, Pearson correlation analysis, and structural equation model were adopted to analyze the data.Results: Results revealed that life events could negatively predict resilience (β = −0.29, P < 0.001) and self-esteem (β = −0.39, P < 0.001) and positively predict LBAs' positive coping style (β = 0.28, P < 0.001) and negative coping style (β = 0.21, P < 0.001). Self-esteem could also positively predict the resilience of LBAs (β = 0.62, P < 0.001); resilience could negatively predict the negative coping style (β = −0.21, P < 0.001) and positively predict the positive coping style (β = 0.79, P < 0.001). Life events not only have direct effects on negative coping style (β = 0.21) and positive coping style (β = 0.28) but also have indirect effects on coping styles by affecting resilience (β = −0.29) and self-esteem (β = −0.39). The total effect of life events on coping styles was 0.32, where 34.37% was mediated by resilience and self-esteem.Conclusion: We proved that resilience and self-esteem mediated most of the effects of life events on coping styles. The findings had important implications for interventions to promote mental health of LBAs, particularly the enhancement of resilience and self-esteem.
Background: Depression is a major risk factor for the morbidity and mortality of cardiovascular disease. A transtheoretical model-based intervention and motivational interviewing have been used to change health risk behaviors and have demonstrated positive effects. To our knowledge, no studies of patients with coronary heart disease (CHD) have used a transtheoretical model-based intervention and motivational interviewing as an intervention to provide dynamic education. Therefore, this study aimed to determine the effects of the transtheoretical model-based intervention and motivational interviewing on the management of depression in hospitalized patients with CHD. Method: A randomized controlled trial was designed. A total of 110 participants were randomly divided into an intervention group (n = 55) and a control group (n = 55). The Hamilton Rating Scale for Depression and the Depression Prevention & Management Survey items (stages of change, perceived benefits, perceived barriers, process of change and self-efficacy) were used to collect data at all time points. Analysis of covariance, chi-square test and repeated measures analysis of variance were used to analyze the data. Results: After the intervention, there were more positive changes in stages of change, higher scores for the cognitive and behavioral levels, the perceived benefits, and self-efficacy, and lower perceived barriers and depression in the intervention group than in the control group. Finally, there were statistically significant differences in the depression scores at different time points in the intervention group (F = 17.814, p = 0.000 < 0.01). Conclusions: The study showed that a transtheoretical model-based intervention and motivational interviewing exert positive effects on the management of depression in hospitalized patients with CHD. Trial registration: Clinicaltrials.gov, NCT03953924 (Date assigned: 16/5/2019). Retrospectively registered.
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.
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