A latent class analysis of resilience and its relationship with depressive symptoms in the parents of children with cancer
Supportive Care in Cancer, ISSN: 1433-7339, Vol: 30, Issue: 5, Page: 4379-4387
2022
- 14Citations
- 62Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations14
- Citation Indexes14
- 14
- CrossRef1
- Captures62
- Readers62
- 62
Article Description
Purpose: Depressive symptoms are among the most common afflictions that plague the parents of children with cancer. Given that resilience is an important factor that inhibits the development and progression of depressive symptoms, it can be harnessed as a potential solution for this psychological issue. This study aimed to identify the latent classes of resilience in the parents of children with cancer and explore the relationships of these classes with depressive symptoms. Methods: The study was conducted in three tertiary hospitals in mainland China. The parents of children (0–19 years old) with cancer were invited to participate in the study. We used standardised self-report questionnaires to collect data. A latent class analysis was performed to identify the classes of resilience in the parents of children with cancer. Results: The study recruited 258 participants. Four classes of resilience were identified, namely, good adaptation and optimism (24.9%), high strength and low control (12.1%), moderate resilience (37.3%), and maladaptation and low tenacity (25.6%). The mothers (OR = 3.48, P = 0.003) and parents with more than one child (OR = 2.73, P = 0.023) were more likely to belong to the maladaptation and low tenacity class. The depressive symptoms experienced by the participants differed significantly between the four classes of resilience (F = 30.80, P < 0.001). Conclusion: Targeted interventions should be developed and implemented based on the characteristics of each class of resilience to maximise the effectiveness of interventions and thereby promote parental well-being.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85123926246&origin=inward; http://dx.doi.org/10.1007/s00520-022-06860-7; http://www.ncbi.nlm.nih.gov/pubmed/35099615; https://link.springer.com/10.1007/s00520-022-06860-7; https://dx.doi.org/10.1007/s00520-022-06860-7; https://link.springer.com/article/10.1007/s00520-022-06860-7
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know