Purpose The aim of this study was to identify the effects of stigma, social support, and resilience on post-traumatic growth in patients with stroke and to provide foundational data for developing nursing interventions that can effectively promote post-traumatic growth in this population.
Methods This cross-sectional study employed a questionnaire-based survey. The participants were 150 patients who attended the neurology outpatient clinic three months after a stroke diagnosis. Data were collected between February and April 2024 using a structured self-report questionnaire. Analyses included descriptive statistics, reliability analysis, inferential statistics(independent t-test, one-way ANOVA, and Scheffé's test), and hierarchical multiple regression using SPSS/WIN 27.0.
Results The mean post-traumatic growth score was 2.52±1.05 out of 5. Significant factors affecting post-traumatic growth were age, education, religion, the presence of a housemate, income, time since stroke onset, stroke type, and stroke recurrence. Post-traumatic growth was positively correlated with social support (r=.44, p<.001) and resilience (r=.53, p<.001), but not significantly correlated with stigma. Regression analysis identified resilience (β=.37, p<.001), religion (β=.29, p<.001), and stroke type (β=.23, p=.033) as significant predictors, explaining 44.2% of the variance in post-traumatic growth (F=9.45, p<.001).
Conclusion Developing and implementing nursing interventions to increase resilience may be crucial for promoting post-traumatic growth in patients with stroke. Further research is needed to design and evaluate these interventions.
Purpose This study aimed to construct and test a hypothetical model which explains the psychosocial adjustment of breast cancer survivors using the family resilience model suggested by McCubbin and McCubbin. Methods The study participants were 242 breast cancer survivors who had finished active treatments within the past five years. Data were collected from September to October 2017 from an offline breast cancer self-help group survey and an online breast cancer support group. Data were analyzed using SPSS version 22.0 and AMOS version 23.0. Results The model fit indices for the modified hypothetical model were suitable for the recommended level: x2 =223.80 (df=88, p<.001), x2 /df=2.54, RMR=.04, GFI=.90, IFI=.93, CFI=.93, and RMSEA=.08. Symptoms and posttraumatic growth directly affected psychosocial adjustment. Symptoms were found to be the most influential factors in the psychosocial adjustment. All three family resilience factors-family hardiness, problem-solving communication, and problem-solving coping-directly affected posttraumatic growth and indirectly affected psychosocial adjustment through posttraumatic growth. These variables explained 81.2% of breast cancer survivors’ psychosocial adjustment. Conclusion Health care professionals need to continue to provide interventions for symptom relief and support to improve the psychosocial adjustment of breast cancer survivors. Additionally, practical nursing interventions should be prepared for individuals and families of breast cancer survivors to promote recovery and reinforce family resilience. This will ultimately improve the quality of life for breast cancer survivors and their families.
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PURPOSE This study explored the level of Post-Traumatic Growth (PTG) in stroke patients receiving rehabilitation treatment and identified the effects of hope, meaning in life, and social support on PTG. METHODS A sample of 165 participants was surveyed in a cross-sectional study. Data were collected from January 17, 2018 to April 9, 2018 using self-report structured questionnaires and analyzed using descriptive statistics and hierarchical regression analysis with SPSS/WIN 24.0 program. RESULTS The mean score for PTG in stroke patients was 2.82±1.14 (range 0~5). Living with family (t=−2.37, p=.019), having a religion (t=2.91 p=.004), higher income (F=8.94, p<.001), shorter period in stroke diagnosis (≤6 month) (F=3.88, p=.010), having no speech defect (t=−2.24, p=.026), and good functional status (F=3.99, p=.020) were associated with higher PTG. The higher levels of hope (r=.73, p<.001), higher meaning in life (r=.64, p<.001), and higher social support (r=.49, p<.001) were related to higher PTG. Hierarchical regression analysis showed that hope (β=.43, p<.001), meaning in life (β=.25, p=.001), and social support (β=.12, p=.044) were effective factors of PTG in stroke patients. These variables accounted for 42%p of the variance in PTG (F=20.52, p<.001). CONCLUSION The study provides insights into how hope, meaning in life, and social support promote PTG in stroke patients. To increase PTG in stroke patients receiving rehabilitation treatment, health care providers should consider developing intervention programs to help increase hope, meaning in life, and social support.
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