Heterogeneity in resilience patterns and its prediction of 1-year quality of life outcomes among patients with newly diagnosed cancer: An exploratory piecewise growth mixture model analysis
Journal article
Authors | Liang, M. Z., Liu, M. L., Tang, Y., Molasiotis, A., Knob, M. T., Chen, P., Hu, G. Y., Yu, Y. L. and Ye, Z. J. |
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Abstract | Purpose |
Keywords | Resilience; Heterogeneity; Patterns; Growth; Newly diagnosed cancer; Exploratory; Piecewise growth mixture model analysis; Psycho-oncology; Quality of life |
Year | 2023 |
Journal | European Journal of Oncology Nursing |
Journal citation | 66, pp. 1-7 |
Publisher | Elsevier |
ISSN | 1532-2122 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.ejon.2023.102374 |
Web address (URL) | https://www.sciencedirect.com/science/article/pii/S1462388923001084 |
Output status | Published |
Publication dates | Oct 2024 |
Online | 25 Jun 2023 |
Publication process dates | |
Accepted | 14 Jun 2023 |
Deposited | 04 Sep 2025 |
https://repository.derby.ac.uk/item/qzx06/heterogeneity-in-resilience-patterns-and-its-prediction-of-1-year-quality-of-life-outcomes-among-patients-with-newly-diagnosed-cancer-an-exploratory-piecewise-growth-mixture-model-analysis
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