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 inPsycho-oncology (Chichester, England) Vol. 33; no. 3; pp. e6312 - n/a
Main Authors Hong, Yu Ting, Ye, Bi Qin, Lin, Jia Ling, Chen, Qiu Hong, Zhang, Juan, Chen, Wei‐Ti, Huang, Fei Fei
Format Journal Article
LanguageEnglish
Published England Wiley Subscription Services, Inc 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.
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
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Issue 3
Keywords lung cancer
demoralization
symptom burden
family relations
latent class analysis
resilience
coping skills
psycho-oncology
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Snippet Objective 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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crossref
pubmed
wiley
SourceType Aggregation Database
Index Database
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StartPage e6312
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
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fpon.6312
https://www.ncbi.nlm.nih.gov/pubmed/38429989
https://www.proquest.com/docview/2986487094/abstract/
https://search.proquest.com/docview/2934276824
Volume 33
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