Characteristics and influencing factors of demoralization in patients with lung cancer: A latent class analysis
Objective Demoralization has garnered increasing attention in recent years as a significant psychological distress. This study aims to identify latent classes of demoralization in lung cancer patients using Latent Class Analysis (LCA) from a person‐centered perspective and to explore the factors inf...
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Published in | Psycho-oncology (Chichester, England) Vol. 33; no. 3; pp. e6312 - n/a |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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01.03.2024
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Abstract | Objective
Demoralization has garnered increasing attention in recent years as a significant psychological distress. This study aims to identify latent classes of demoralization in lung cancer patients using Latent Class Analysis (LCA) from a person‐centered perspective and to explore the factors influencing the latent classes of demoralization.
Methods
A cross‐sectional study using convenience sampling was conducted among 567 lung cancer patients in three tertiary hospitals in China. LCA was employed to classify heterogeneous classes of demoralization. Multinomial logistic regression analyses were performed to explore the associations between demographic and clinical characteristics, as well as physical symptoms, resilience, family function, and coping strategies, with class membership in the identified heterogeneous subgroups of lung cancer patients.
Results
Three latent classes of demoralization were identified: the high demoralization group (Class 1, 14.8%), the moderate demoralization‐distress and helplessness group (Class 2, 37.2%), and the low demoralization group (Class 3, 48.0%). In comparison to Class 3, lung cancer patients with hypertension, higher core symptom burden, poorer resilience, dysfunctional family dynamics, and resignation coping were more likely to belong to Class 1 and Class 2.
Conclusions
The demoralization patterns in lung cancer patients were varied. Targeted intervention should be developed based on the characteristics of each class, and timely attention should be paid to high‐risk patients. |
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AbstractList | Abstract
Objective
Demoralization has garnered increasing attention in recent years as a significant psychological distress. This study aims to identify latent classes of demoralization in lung cancer patients using Latent Class Analysis (LCA) from a person‐centered perspective and to explore the factors influencing the latent classes of demoralization.
Methods
A cross‐sectional study using convenience sampling was conducted among 567 lung cancer patients in three tertiary hospitals in China. LCA was employed to classify heterogeneous classes of demoralization. Multinomial logistic regression analyses were performed to explore the associations between demographic and clinical characteristics, as well as physical symptoms, resilience, family function, and coping strategies, with class membership in the identified heterogeneous subgroups of lung cancer patients.
Results
Three latent classes of demoralization were identified: the high demoralization group (Class 1, 14.8%), the moderate demoralization‐distress and helplessness group (Class 2, 37.2%), and the low demoralization group (Class 3, 48.0%). In comparison to Class 3, lung cancer patients with hypertension, higher core symptom burden, poorer resilience, dysfunctional family dynamics, and resignation coping were more likely to belong to Class 1 and Class 2.
Conclusions
The demoralization patterns in lung cancer patients were varied. Targeted intervention should be developed based on the characteristics of each class, and timely attention should be paid to high‐risk patients. OBJECTIVEDemoralization has garnered increasing attention in recent years as a significant psychological distress. This study aims to identify latent classes of demoralization in lung cancer patients using Latent Class Analysis (LCA) from a person-centered perspective and to explore the factors influencing the latent classes of demoralization.METHODSA cross-sectional study using convenience sampling was conducted among 567 lung cancer patients in three tertiary hospitals in China. LCA was employed to classify heterogeneous classes of demoralization. Multinomial logistic regression analyses were performed to explore the associations between demographic and clinical characteristics, as well as physical symptoms, resilience, family function, and coping strategies, with class membership in the identified heterogeneous subgroups of lung cancer patients.RESULTSThree latent classes of demoralization were identified: the high demoralization group (Class 1, 14.8%), the moderate demoralization-distress and helplessness group (Class 2, 37.2%), and the low demoralization group (Class 3, 48.0%). In comparison to Class 3, lung cancer patients with hypertension, higher core symptom burden, poorer resilience, dysfunctional family dynamics, and resignation coping were more likely to belong to Class 1 and Class 2.CONCLUSIONSThe demoralization patterns in lung cancer patients were varied. Targeted intervention should be developed based on the characteristics of each class, and timely attention should be paid to high-risk patients. Objective Demoralization has garnered increasing attention in recent years as a significant psychological distress. This study aims to identify latent classes of demoralization in lung cancer patients using Latent Class Analysis (LCA) from a person‐centered perspective and to explore the factors influencing the latent classes of demoralization. Methods A cross‐sectional study using convenience sampling was conducted among 567 lung cancer patients in three tertiary hospitals in China. LCA was employed to classify heterogeneous classes of demoralization. Multinomial logistic regression analyses were performed to explore the associations between demographic and clinical characteristics, as well as physical symptoms, resilience, family function, and coping strategies, with class membership in the identified heterogeneous subgroups of lung cancer patients. Results Three latent classes of demoralization were identified: the high demoralization group (Class 1, 14.8%), the moderate demoralization‐distress and helplessness group (Class 2, 37.2%), and the low demoralization group (Class 3, 48.0%). In comparison to Class 3, lung cancer patients with hypertension, higher core symptom burden, poorer resilience, dysfunctional family dynamics, and resignation coping were more likely to belong to Class 1 and Class 2. Conclusions The demoralization patterns in lung cancer patients were varied. Targeted intervention should be developed based on the characteristics of each class, and timely attention should be paid to high‐risk patients. Demoralization has garnered increasing attention in recent years as a significant psychological distress. This study aims to identify latent classes of demoralization in lung cancer patients using Latent Class Analysis (LCA) from a person-centered perspective and to explore the factors influencing the latent classes of demoralization. A cross-sectional study using convenience sampling was conducted among 567 lung cancer patients in three tertiary hospitals in China. LCA was employed to classify heterogeneous classes of demoralization. Multinomial logistic regression analyses were performed to explore the associations between demographic and clinical characteristics, as well as physical symptoms, resilience, family function, and coping strategies, with class membership in the identified heterogeneous subgroups of lung cancer patients. Three latent classes of demoralization were identified: the high demoralization group (Class 1, 14.8%), the moderate demoralization-distress and helplessness group (Class 2, 37.2%), and the low demoralization group (Class 3, 48.0%). In comparison to Class 3, lung cancer patients with hypertension, higher core symptom burden, poorer resilience, dysfunctional family dynamics, and resignation coping were more likely to belong to Class 1 and Class 2. The demoralization patterns in lung cancer patients were varied. Targeted intervention should be developed based on the characteristics of each class, and timely attention should be paid to high-risk patients. |
Author | Zhang, Juan Huang, Fei Fei Ye, Bi Qin Hong, Yu Ting Chen, Wei‐Ti Chen, Qiu Hong Lin, Jia Ling |
Author_xml | – sequence: 1 givenname: Yu Ting surname: Hong fullname: Hong, Yu Ting organization: Fujian Medical University – sequence: 2 givenname: Bi Qin surname: Ye fullname: Ye, Bi Qin organization: Affiliated Hospital of Putian University – sequence: 3 givenname: Jia Ling surname: Lin fullname: Lin, Jia Ling organization: Fujian Medical University – sequence: 4 givenname: Qiu Hong surname: Chen fullname: Chen, Qiu Hong organization: Fujian Medical University – sequence: 5 givenname: Juan surname: Zhang fullname: Zhang, Juan organization: The 900th Hospital of Joint Logistics Support Force of the Chinese People's Liberation Army – sequence: 6 givenname: Wei‐Ti surname: Chen fullname: Chen, Wei‐Ti organization: University of California Los Angeles – sequence: 7 givenname: Fei Fei orcidid: 0000-0003-0197-8687 surname: Huang fullname: Huang, Fei Fei email: pt860315@163.com organization: Fujian Medical University |
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Keywords | lung cancer demoralization symptom burden family relations latent class analysis resilience coping skills psycho-oncology |
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Demoralization has garnered increasing attention in recent years as a significant psychological distress. This study aims to identify latent classes... Demoralization has garnered increasing attention in recent years as a significant psychological distress. This study aims to identify latent classes of... Abstract Objective Demoralization has garnered increasing attention in recent years as a significant psychological distress. This study aims to identify latent... ObjectiveDemoralization has garnered increasing attention in recent years as a significant psychological distress. This study aims to identify latent classes... OBJECTIVEDemoralization has garnered increasing attention in recent years as a significant psychological distress. This study aims to identify latent classes... |
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SubjectTerms | Attention coping skills Coping strategies Cross-Sectional Studies Demography Demoralization Family conflict Family relations Helplessness Hospitals Humans Hypertension Latent Class Analysis Lung cancer Lung Neoplasms Neoplasms - psychology Physical symptoms Psychological distress psycho‐oncology Resilience Resilience, Psychological symptom burden |
Title | Characteristics and influencing factors of demoralization in patients with lung cancer: A latent class analysis |
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