Illness uncertainty in individuals with gynecologic and breast cancer: A latent profile analysis and structural equation modeling
- DOI
- 10.1371/journal.pone.0358366
- Published
- 2026-09-18
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0358366,
title = {Illness uncertainty in individuals with gynecologic and breast cancer: A latent profile analysis and structural equation modeling},
author = {Hui Zeng and Yan Lu and Quanping Zhao and Jingjing Gong and Li Mao and Yuxuan Wei and Xiaodan Li},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0358366},
url = {https://doi.org/10.1371/journal.pone.0358366}
}RIS
TY - JOUR TI - Illness uncertainty in individuals with gynecologic and breast cancer: A latent profile analysis and structural equation modeling AU - Hui Zeng AU - Yan Lu AU - Quanping Zhao AU - Jingjing Gong AU - Li Mao AU - Yuxuan Wei AU - Xiaodan Li PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0358366 UR - https://doi.org/10.1371/journal.pone.0358366 ER -
APA
Zeng, H., Lu, Y., Zhao, Q., Gong, J., Mao, L., Wei, Y., & Li, X. (2026). Illness uncertainty in individuals with gynecologic and breast cancer: A latent profile analysis and structural equation modeling. PLOS One. https://doi.org/10.1371/journal.pone.0358366
Source records
- crossref · retrieved 2026-11-11T01:21:56.617Z