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| Analysis of latent profile analysis and influencing factors of demoralization in lung cancer patients |
| Gao Ya, Zhou Feng, Hou Jinjin |
| Department of Geriatric Respiratory and Critical Care Medicine The First Affiliated Hospital of Anhui Medical University Hefei 230022
Anhui China |
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Abstract Objective To explore the status of demoralization in lung cancer patients and analyze the influencing factors of different
profile categories. Method A total of 150 lung cancer patients diagnosed and treated in the First Affiliated Hospital of Anhui Medical
University from April 2023 to September 2024 were continuously included as the research subjects by the convenience sampling
method. They were surveyed by using the basic information questionnaire the disorientation scale and the family care index
questionnaire. The latent profile analysis of the characteristics of demoralization syndrome in lung cancer patients was conducted and
the influencing factors of the latent profile analysis of demoralization syndrome were explored through single - factor combined with
Logistic regression analysis. Result 150 valid questionnaires were collected. The average age was 61. 09±9. 42 years including 112
males 74. 67% and 38 females 25. 33% . The demoralization of lung cancer patients was divided into three latent profile analysis
categories high desensitization group medium desensitization group and low desensitization group. The average probability of lung
cancer patients belonging to each latent profile analysis was 0. 964 0. 950 0. 964 respectively. Univariate analysis showed that family
income level place of residence presence of comorbidities family function and body mass index had statistically significant
differences in the groups of lung cancer patients with demoralization P < 0. 05 . Conclusion There is heterogeneity of demoralization
in lung cancer patients and it is affected by family income level place of residence comorbidities family function and body mass
index. Clinical staff should identify the characteristics of different categories of patients and actively adopt countermeasures for patients
with high desensitization of lung cancer so as to reduce their desensitization status as much as possible and reduce the occurrence of
chain reactions such as psychological pain and life-weariness caused by desensitization.
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| [1] |
1,2Liu Xiangrong,3Jiang Mingming,2Liu Lu,2Zhang Xinsheng,2Liu Zhao,4Yang Bo,1,2Liu Yinghua. Construction and validation of a lung cancer risk prediction model based on blood fatty acid profiles a multicenter
retrospective study[J]. Electron J Metab Nutr Cancer, 2025, 12(6): 710-720. |
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