(2019) Resilience and its Predictors among the Parents of Children with Cancer: A Descriptive-Correlational Study. Indian Journal of Palliative Care. pp. 79-83. ISSN 0973-1075
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Abstract
Context: As a common debilitating illness, cancer is among the leading causes of child mortality in developed and developing countries. Cancer diagnosis for children is considerably stressful for their parents. Resilience is a key factor behind effective coping with cancer-related problems. This study evaluated resilience and its predictors among the parents of children with cancer. Aim: This study evaluated resilience and its predictors among the parents of children with cancer. Settings and Design: This cross-sectional descriptive-analytical study was conducted in 2017 on 400 parents of children with cancer in Tabriz Children's Hospital, Iran. Methods: A demographic questionnaire and the Connor-Davidson Resilience Scale were used to collect the data. Parents were conveniently recruited from Tabriz Children's Hospital. Statistical Analysis: Data were analyzed using the SPSS for Windows program (v. 16) via descriptive and inferential statistical methods. Results: The mean score of parents' resilience was 66.83 +/- 14.28. Fathers obtained significantly higher resilience scores than mothers (P < 0.001). The predictors of parents' resilience were financial status, parents' gender, fathers' employment status, and children's gender. Conclusion: The parents of cancer-afflicted children, particularly their mothers, have low resilience and therefore may be at risk for different physical and mental health problems. Health-care providers need to identify at-risk parents and provide them with greater psychological and educational support.
Item Type: | Article |
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Keywords: | Cancer child parents resilience gender-differences distress scale Health Care Sciences & Services |
Divisions: | |
Page Range: | pp. 79-83 |
Journal or Publication Title: | Indian Journal of Palliative Care |
Journal Index: | ISI |
Volume: | 25 |
Number: | 1 |
Identification Number: | https://doi.org/10.4103/ijpc.ijpc₁₂₈₁₈ |
ISSN: | 0973-1075 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.bmsu.ac.ir/id/eprint/2868 |
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