ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024
A latent profile analysis of resilience and their relation to differences in sleep quality in patients with lung cancer.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Latent profile analysis of resilience among people with serious mental illness.Psychology and psychotherapy · 2026Article
- Profiles of resilience and patient activation among patients with colorectal cancer and an enterostomy: A latent profile analysis.Asia-Pacific journal of oncology nursing · 2025Article
- A latent profile analysis of cancer survivors' return to work adaptability and the associations between its' categories and financial toxicity.Scientific reports · 2025Article
- Latent Profile Analysis of Resilience and Its Association With Psychological Factors in Patients Diagnosed With Depression and Anxiety Disorders.Psychiatry investigation · 2025Article
- Exploring the relationship between postoperative psychological resilience and symptom burden in esophageal cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Identifying latent profiles of quality of life and lifestyle behaviors in cancer survivors: The interplay of sedentary behavior, physical activity, and sleep.Journal of cancer survivorship : research and practice · 2025Article
- Latent profile analysis of family adaptation in breast cancer patients-cross-sectional study.Scientific reports · 2024Article
- Relationship between sense of coherence and subjective well-being among family caregivers of breast cancer patients: a latent profile analysis.Frontiers in psychiatry · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
purposeSleep problems are a significant issue in patients with lung cancer, and resilience is a closely related factor. However, few studies have identified subgroups of resilience and their relationship with sleep quality. This study aimed to investigate whether there are different profiles of resilience in patients with lung cancer, to determine the sociodemographic characteristics of each subgroup, and to determine the relationship between resilience and sleep quality in different subgroups.
methodsA total of 303 patients with lung cancer from four tertiary hospitals in China completed the General Sociodemographic sheet, the Connor-Davidson Resilience Scale, and the Pittsburgh Sleep Quality Index. Latent profile analysis was applied to explore the latent profiles of resilience. Multivariate logistic regression was used to analyze the sociodemographic variables in each profile, and ANOVA was used to explore the relationships between resilience profiles and sleep quality.
resultsThe following three latent profiles were identified: the "high-resilience group" (30.2%), the "moderate-resilience group" (46.0%), and the "low-resilience group" (23.8%). Gender, place of residence, and average monthly household income significantly influenced the distribution of resilience in patients with lung cancer.
conclusionThe resilience patterns of patients with lung cancer varied. It is suggested that health care providers screen out various types of patients with multiple levels of resilience and pay more attention to female, rural, and poor patients. Additionally, individual differences in resilience may provide an actionable means for addressing sleep problems.
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