PDF
Full
Outline
To explore the latent profile categories of economic toxicity in lung cancer patients and their differential characteristics, analyze the relationship between economic toxicity and health-related quality of life, and propose nursing interventions.
A survey was conducted among 218 lung cancer patients receiving treatment at two tertiary hospitals in Luzhou, Sichuan, using a general information questionnaire, the financial toxicity scale for cancer outcomes, the multidimensional social support scale, and the quality-of-life measurement scale for lung cancer patients. Latent profile analysis of economic toxicity was performed, and influencing factors were examined using univariate analysis and logistic regression. The correlation between economic toxicity and health-related quality of life was analyzed using Pearson correlation coefficients.
A total of 218 lung cancer patients were included, with economic toxicity classified into three categories: moderate economic toxicity risk group (C3), mild economic toxicity group (C2), and no economic toxicity group (C1). Logistic regression results indicated that household savings of >10 000 to 29 999 yuan (OR=28.763, 95%CI: 3.653-226.508), household savings of ≤10 000 yuan (OR=9.753, 95%CI: 2.642-36.003), and loss of employment due to illness (C2 vs. C1: OR=10.763, 95%CI: 2.091-55.394; C3 vs. C1:OR=18.745, 95%CI: 3.579-98.190) were significant influencing factors of economic toxicity in lung cancer patients. Additionally, there was a positive correlation between economic toxicity and overall health-related quality of life scores (r=0.241, P<0.01).
There is significant heterogeneity in the economic toxicity experienced by lung cancer patients. Nurses should develop personalized intervention strategies based on these classification characteristics to identify lung cancer patients at risk of economic toxicity early and alleviate their economic burden, thereby improving their health-related quality of life.
PDF
54
25
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
