A latent class analysis of resilience and its association with patient-reported symptoms in patients with esophageal cancer after esophagectomy
To identify the latent classes of resilience in patients with esophageal cancer after esophagectomy and develop a deeper understanding of the association between these classes and patient-reported symptoms.PurposeTo identify the latent classes of resilience in patients with esophageal cancer after e...
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Published in | Frontiers in psychology Vol. 14; p. 1241129 |
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Format | Journal Article |
Language | English |
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Abstract | To identify the latent classes of resilience in patients with esophageal cancer after esophagectomy and develop a deeper understanding of the association between these classes and patient-reported symptoms.PurposeTo identify the latent classes of resilience in patients with esophageal cancer after esophagectomy and develop a deeper understanding of the association between these classes and patient-reported symptoms.China accounts for more than half of the global burden of esophageal cancer, and patients with esophageal cancer experience numerous symptoms that affect their quality of life and prognosis. Given that resilience is a key element that alleviates the progression of symptoms, it may represent a potential means of to enhancing cancer patients' physical and psychological well-being.BackgroundChina accounts for more than half of the global burden of esophageal cancer, and patients with esophageal cancer experience numerous symptoms that affect their quality of life and prognosis. Given that resilience is a key element that alleviates the progression of symptoms, it may represent a potential means of to enhancing cancer patients' physical and psychological well-being.The study was implemented in the thoracic surgery departments of three tertiary hospitals in eastern China. The participants were patients who were still hospitalized after esophagectomy. Data were gathered by self-report questionnaires, and a latent class analysis was utilized to identify different categories of resilience among the patients.MethodsThe study was implemented in the thoracic surgery departments of three tertiary hospitals in eastern China. The participants were patients who were still hospitalized after esophagectomy. Data were gathered by self-report questionnaires, and a latent class analysis was utilized to identify different categories of resilience among the patients.A total of 226 patients were recruited. The three classes of resilience identified included high strength and striving (53.5%), medium resilience but weak self-recovery (35.9%), and minimal tenacity and external support (10.6%). Patients with low income (OR = 12.540, p = 0.004) were more likely to be in the minimal tenacity and external support class. Patients without comorbidities (OR = 2.413, p = 0.013) and aged 66-70 years (OR = 4.272, p < 0.001) were more likely to be in the high strength and striving class. The patient-reported symptoms and symptom-related interference of patients after esophagectomy varied considerably among the three categories of resilience.ResultsA total of 226 patients were recruited. The three classes of resilience identified included high strength and striving (53.5%), medium resilience but weak self-recovery (35.9%), and minimal tenacity and external support (10.6%). Patients with low income (OR = 12.540, p = 0.004) were more likely to be in the minimal tenacity and external support class. Patients without comorbidities (OR = 2.413, p = 0.013) and aged 66-70 years (OR = 4.272, p < 0.001) were more likely to be in the high strength and striving class. The patient-reported symptoms and symptom-related interference of patients after esophagectomy varied considerably among the three categories of resilience.Accurate interventions should be devised and executed according to the features of each type of resilience in patients after esophagectomy to maximize intervention efficacy. These findings highlight the important role of precision nursing.ConclusionAccurate interventions should be devised and executed according to the features of each type of resilience in patients after esophagectomy to maximize intervention efficacy. These findings highlight the important role of precision nursing. |
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AbstractList | To identify the latent classes of resilience in patients with esophageal cancer after esophagectomy and develop a deeper understanding of the association between these classes and patient-reported symptoms.PurposeTo identify the latent classes of resilience in patients with esophageal cancer after esophagectomy and develop a deeper understanding of the association between these classes and patient-reported symptoms.China accounts for more than half of the global burden of esophageal cancer, and patients with esophageal cancer experience numerous symptoms that affect their quality of life and prognosis. Given that resilience is a key element that alleviates the progression of symptoms, it may represent a potential means of to enhancing cancer patients' physical and psychological well-being.BackgroundChina accounts for more than half of the global burden of esophageal cancer, and patients with esophageal cancer experience numerous symptoms that affect their quality of life and prognosis. Given that resilience is a key element that alleviates the progression of symptoms, it may represent a potential means of to enhancing cancer patients' physical and psychological well-being.The study was implemented in the thoracic surgery departments of three tertiary hospitals in eastern China. The participants were patients who were still hospitalized after esophagectomy. Data were gathered by self-report questionnaires, and a latent class analysis was utilized to identify different categories of resilience among the patients.MethodsThe study was implemented in the thoracic surgery departments of three tertiary hospitals in eastern China. The participants were patients who were still hospitalized after esophagectomy. Data were gathered by self-report questionnaires, and a latent class analysis was utilized to identify different categories of resilience among the patients.A total of 226 patients were recruited. The three classes of resilience identified included high strength and striving (53.5%), medium resilience but weak self-recovery (35.9%), and minimal tenacity and external support (10.6%). Patients with low income (OR = 12.540, p = 0.004) were more likely to be in the minimal tenacity and external support class. Patients without comorbidities (OR = 2.413, p = 0.013) and aged 66-70 years (OR = 4.272, p < 0.001) were more likely to be in the high strength and striving class. The patient-reported symptoms and symptom-related interference of patients after esophagectomy varied considerably among the three categories of resilience.ResultsA total of 226 patients were recruited. The three classes of resilience identified included high strength and striving (53.5%), medium resilience but weak self-recovery (35.9%), and minimal tenacity and external support (10.6%). Patients with low income (OR = 12.540, p = 0.004) were more likely to be in the minimal tenacity and external support class. Patients without comorbidities (OR = 2.413, p = 0.013) and aged 66-70 years (OR = 4.272, p < 0.001) were more likely to be in the high strength and striving class. The patient-reported symptoms and symptom-related interference of patients after esophagectomy varied considerably among the three categories of resilience.Accurate interventions should be devised and executed according to the features of each type of resilience in patients after esophagectomy to maximize intervention efficacy. These findings highlight the important role of precision nursing.ConclusionAccurate interventions should be devised and executed according to the features of each type of resilience in patients after esophagectomy to maximize intervention efficacy. These findings highlight the important role of precision nursing. PurposeTo identify the latent classes of resilience in patients with esophageal cancer after esophagectomy and develop a deeper understanding of the association between these classes and patient-reported symptoms.BackgroundChina accounts for more than half of the global burden of esophageal cancer, and patients with esophageal cancer experience numerous symptoms that affect their quality of life and prognosis. Given that resilience is a key element that alleviates the progression of symptoms, it may represent a potential means of to enhancing cancer patients’ physical and psychological well-being.MethodsThe study was implemented in the thoracic surgery departments of three tertiary hospitals in eastern China. The participants were patients who were still hospitalized after esophagectomy. Data were gathered by self-report questionnaires, and a latent class analysis was utilized to identify different categories of resilience among the patients.ResultsA total of 226 patients were recruited. The three classes of resilience identified included high strength and striving (53.5%), medium resilience but weak self-recovery (35.9%), and minimal tenacity and external support (10.6%). Patients with low income (OR = 12.540, p = 0.004) were more likely to be in the minimal tenacity and external support class. Patients without comorbidities (OR = 2.413, p = 0.013) and aged 66–70 years (OR = 4.272, p < 0.001) were more likely to be in the high strength and striving class. The patient-reported symptoms and symptom-related interference of patients after esophagectomy varied considerably among the three categories of resilience.ConclusionAccurate interventions should be devised and executed according to the features of each type of resilience in patients after esophagectomy to maximize intervention efficacy. These findings highlight the important role of precision nursing. |
Author | Ma, Xuanxuan Zhang, Xue Li, Shuwen Li, Yanran Zhang, Zonghao |
AuthorAffiliation | Department of Nursing, Anhui Medical University , Hefei , China |
AuthorAffiliation_xml | – name: Department of Nursing, Anhui Medical University , Hefei , China |
Author_xml | – sequence: 1 givenname: Yanran surname: Li fullname: Li, Yanran – sequence: 2 givenname: Zonghao surname: Zhang fullname: Zhang, Zonghao – sequence: 3 givenname: Xuanxuan surname: Ma fullname: Ma, Xuanxuan – sequence: 4 givenname: Xue surname: Zhang fullname: Zhang, Xue – sequence: 5 givenname: Shuwen surname: Li fullname: Li, Shuwen |
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CitedBy_id | crossref_primary_10_1016_j_ejon_2025_102816 crossref_primary_10_1111_jan_16388 crossref_primary_10_1016_j_apjon_2024_100554 crossref_primary_10_1111_jan_16612 |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 These authors share first authorship Reviewed by: Arpo Aromaa, National Institute for Health and Welfare, Finland; Xiaorong Luan, Shandong University, China Edited by: Eleonora Pinto, Veneto Institute of Oncology (IRCCS), Italy |
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Snippet | To identify the latent classes of resilience in patients with esophageal cancer after esophagectomy and develop a deeper understanding of the association... PurposeTo identify the latent classes of resilience in patients with esophageal cancer after esophagectomy and develop a deeper understanding of the... |
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SubjectTerms | esophageal cancer latent class analysis patient-reported Psychology resilience symptom |
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Title | A latent class analysis of resilience and its association with patient-reported symptoms in patients with esophageal cancer after esophagectomy |
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