The high burden of symptoms associated with cognitive impairment in lung cancer patients: A latent class analysis

Objective: To explore the association between the pain-fatigue-sleep disturbance-depression symptom cluster (SC) and cancer-related cognitive impairment (CRCI) in patients having lung cancer and to identify other factors influencing CRCI. Methods: A cross-sectional study was conducted to investigate...

Full description

Bibliographic Details
Main Authors: Jiahui Luo, Ruiqi Liu, Yuanyuan Luo, Qinghong Fang, Suting Liu, Zhihui Yang, Jingxia Miao, Lili Zhang
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Asia-Pacific Journal of Oncology Nursing
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2347562523000185
_version_ 1797842420185956352
author Jiahui Luo
Ruiqi Liu
Yuanyuan Luo
Qinghong Fang
Suting Liu
Zhihui Yang
Jingxia Miao
Lili Zhang
author_facet Jiahui Luo
Ruiqi Liu
Yuanyuan Luo
Qinghong Fang
Suting Liu
Zhihui Yang
Jingxia Miao
Lili Zhang
author_sort Jiahui Luo
collection DOAJ
description Objective: To explore the association between the pain-fatigue-sleep disturbance-depression symptom cluster (SC) and cancer-related cognitive impairment (CRCI) in patients having lung cancer and to identify other factors influencing CRCI. Methods: A cross-sectional study was conducted to investigate 378 patients having lung cancer in China from October 2021 to July 2022. The perceived cognitive impairment scale and the general anxiety disorder-7 were used to assess patients’ cognitive impairment and anxiety, respectively. The pain-fatigue-sleep disturbance-depression SC was assessed with the brief fatigue inventory, the brief pain inventory, the Patient Health Questionnaire-9, and the Athens Insomnia Scale. Latent class analysis by Mplus.7.4 was used to identify latent classes of the SC. We adjusted for covariates in the multivariable logistic regression model to examine the relationship between the pain-fatigue-sleep disturbance-depression SC and CRCI. Results: Among patients having lung cancer, two SC classes were identified: high and low symptom burden groups. In the crude model, compared to the low symptom burden group, the high symptom group had greater odds of developing CRCI (odds ratio: 10.065, 95% confidence interval: 4.138–24.478). After adjusting for covariates, in model 1, the high symptom group still had greater odds of developing CRCI (odds ratio: 5.531, 95% confidence interval: 2.133–14.336). Additionally, a diagnosis of over 6 months, anxiety, leisure activity, and a high platelet-to-lymphocyte ratio were found to be influencing factors of CRCI (all P ​< ​0.05). Conclusions: Our study revealed that a high symptom burden is a significant risk factor for CRCI, which may provide a new perspective for managing CRCI in lung patients having cancer.
first_indexed 2024-04-09T16:47:37Z
format Article
id doaj.art-1f3cc7cd685b41968ec0e07b519467ec
institution Directory Open Access Journal
issn 2347-5625
language English
last_indexed 2024-04-09T16:47:37Z
publishDate 2023-04-01
publisher Elsevier
record_format Article
series Asia-Pacific Journal of Oncology Nursing
spelling doaj.art-1f3cc7cd685b41968ec0e07b519467ec2023-04-22T06:21:01ZengElsevierAsia-Pacific Journal of Oncology Nursing2347-56252023-04-01104100200The high burden of symptoms associated with cognitive impairment in lung cancer patients: A latent class analysisJiahui Luo0Ruiqi Liu1Yuanyuan Luo2Qinghong Fang3Suting Liu4Zhihui Yang5Jingxia Miao6Lili Zhang7School of Nursing, Southern Medical University, Guangzhou, ChinaSchool of Nursing, Southern Medical University, Guangzhou, ChinaSchool of Nursing, Southern Medical University, Guangzhou, ChinaSchool of Nursing, Southern Medical University, Guangzhou, ChinaSchool of Nursing, Southern Medical University, Guangzhou, ChinaSchool of Nursing, Southern Medical University, Guangzhou, ChinaDepartment of Medical Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaSchool of Nursing, Southern Medical University, Guangzhou, China; Corresponding author.Objective: To explore the association between the pain-fatigue-sleep disturbance-depression symptom cluster (SC) and cancer-related cognitive impairment (CRCI) in patients having lung cancer and to identify other factors influencing CRCI. Methods: A cross-sectional study was conducted to investigate 378 patients having lung cancer in China from October 2021 to July 2022. The perceived cognitive impairment scale and the general anxiety disorder-7 were used to assess patients’ cognitive impairment and anxiety, respectively. The pain-fatigue-sleep disturbance-depression SC was assessed with the brief fatigue inventory, the brief pain inventory, the Patient Health Questionnaire-9, and the Athens Insomnia Scale. Latent class analysis by Mplus.7.4 was used to identify latent classes of the SC. We adjusted for covariates in the multivariable logistic regression model to examine the relationship between the pain-fatigue-sleep disturbance-depression SC and CRCI. Results: Among patients having lung cancer, two SC classes were identified: high and low symptom burden groups. In the crude model, compared to the low symptom burden group, the high symptom group had greater odds of developing CRCI (odds ratio: 10.065, 95% confidence interval: 4.138–24.478). After adjusting for covariates, in model 1, the high symptom group still had greater odds of developing CRCI (odds ratio: 5.531, 95% confidence interval: 2.133–14.336). Additionally, a diagnosis of over 6 months, anxiety, leisure activity, and a high platelet-to-lymphocyte ratio were found to be influencing factors of CRCI (all P ​< ​0.05). Conclusions: Our study revealed that a high symptom burden is a significant risk factor for CRCI, which may provide a new perspective for managing CRCI in lung patients having cancer.http://www.sciencedirect.com/science/article/pii/S2347562523000185Cognitive impairmentLung cancerSymptom clusterLatent class analysisLeisure activity
spellingShingle Jiahui Luo
Ruiqi Liu
Yuanyuan Luo
Qinghong Fang
Suting Liu
Zhihui Yang
Jingxia Miao
Lili Zhang
The high burden of symptoms associated with cognitive impairment in lung cancer patients: A latent class analysis
Asia-Pacific Journal of Oncology Nursing
Cognitive impairment
Lung cancer
Symptom cluster
Latent class analysis
Leisure activity
title The high burden of symptoms associated with cognitive impairment in lung cancer patients: A latent class analysis
title_full The high burden of symptoms associated with cognitive impairment in lung cancer patients: A latent class analysis
title_fullStr The high burden of symptoms associated with cognitive impairment in lung cancer patients: A latent class analysis
title_full_unstemmed The high burden of symptoms associated with cognitive impairment in lung cancer patients: A latent class analysis
title_short The high burden of symptoms associated with cognitive impairment in lung cancer patients: A latent class analysis
title_sort high burden of symptoms associated with cognitive impairment in lung cancer patients a latent class analysis
topic Cognitive impairment
Lung cancer
Symptom cluster
Latent class analysis
Leisure activity
url http://www.sciencedirect.com/science/article/pii/S2347562523000185
work_keys_str_mv AT jiahuiluo thehighburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis
AT ruiqiliu thehighburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis
AT yuanyuanluo thehighburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis
AT qinghongfang thehighburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis
AT sutingliu thehighburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis
AT zhihuiyang thehighburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis
AT jingxiamiao thehighburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis
AT lilizhang thehighburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis
AT jiahuiluo highburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis
AT ruiqiliu highburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis
AT yuanyuanluo highburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis
AT qinghongfang highburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis
AT sutingliu highburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis
AT zhihuiyang highburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis
AT jingxiamiao highburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis
AT lilizhang highburdenofsymptomsassociatedwithcognitiveimpairmentinlungcancerpatientsalatentclassanalysis