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Latent profiles of resilience among patients with lung cancer. Note: All items are rearranged by the dimension of CD-RISC, with items 1–13 for tenacity, items 14–21 for strength, and items 22–25 for optimism
Source publication
Purpose
Sleep 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...
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Citations
... While the rapid advancement of diagnostic and treatment technologies, has improved breast cancer patients' five-year relative survival rate of around 73%, and family caregivers are the primary caregivers during the recovery period (3). Cancer is considered "our disease" that has a significant impact on the families of patients (4). Long-term and comprehensive care from caregivers is necessary during the entire process of diagnosing, treating, and recovering breast cancer patients (5). ...
... Previous studies mainly measured the level of SOC in caregivers using the total score of a scale, which cannot accurately reflect the differences among groups with different levels of SOC, thereby affecting the effectiveness of interventions. As interest in personalized care continues to grow, tailored interventions based on specific group characteristics are becoming increasingly popular (4). Therefore, studying the categories of SOC among caregivers for breast cancer patients can help healthcare professionals accurately identify those with lower levels of SOC and intervene in groups. ...
Objective
Sense of coherence (SOC) assists cancer-affected caregivers in overcoming challenges in the process of caregiving and may potentially influence an individual’s subjective well-being (SWB). This study aimed to explore distinct SOC profiles among caregivers of breast cancer patients, identify the distribution differences of these profiles in sociodemographic and clinical characteristics, and explore their relationship with SWB.
Methods
A total of 360 patients with caregivers of breast cancer patients from one tertiary hospitals in Jiangsu completed the Sociodemographic and clinical characteristics, the Sense of Coherence Scale (SOC-13), and the General Subjective Well-Being Schedule (GWB). Mplus 8.3 for latent profile was performed to identify SOC classes. Multivariate logistic regression was used to analyze the impact of various factors on the different categories, and ANOVA was applied to compare the SWB among caregivers of different categories.
Results
Three latent profiles of SOC were identified: the “low sense of coherence-meaning group” (7.9%), the “moderate sense of coherence-manageability group” (37.3%), and the “high sense of coherence-optimism group” (54.7%). Age, residence, health status, financial pressure, caregiving duration, and breast cancer stage significantly influenced the distribution of SOC in caregivers of breast cancer patients. The SWB level differed significantly among these three categories.
Conclusion
This study identified three distinct classes of SOC among caregivers. It is recommended that health care providers screen caregivers with diverse profiles of SOC and pay more attention to young, rural, long-term caregiving duration, heavy economic burden, and caregivers in poor physical condition.
Purpose
This study aimed to identify distinct profiles of quality of life (QoL) and lifestyle behaviors among cancer survivors and explore their associations with clinical and demographic factors.
Methods
A cross-sectional survey was conducted globally from July to November 2020 among cancer survivors aged 18 and older. Sedentary behavior and sleep were assessed using a modified Domain-Specific Sitting Time Questionnaire, physical activity with the Godin Leisure-Time Exercise Questionnaire, and QoL via the Functional Assessment of Cancer Therapy scale. Latent profile analysis identified subgroups based on lifestyle behaviors, and multinomial logistic regression examined clinical and demographic associations.
Results
Among 477 cancer survivors (Mage = 48.5 ± 15.4 years), predominantly female (69.6%) and diagnosed with breast cancer (29.3%), three latent profiles were identified: Class 1 (“Limited 24-Hour Movement with Low Well-being”), Class 2 (“Partial 24-Hour Movement with Moderate Well-being”), and Class 3 (“Complete 24-Hour Movement with High Well-being”). Class 3 had the highest physical activity, lowest sedentary time, and best QoL, associated with older age, lower body mass index, fewer comorbidities, and less chemotherapy or hormone therapy.
Conclusions
Identifying latent profiles of QoL and lifestyle behaviors highlights opportunities for tailored interventions in cancer survivorship care.
Implications for Cancer Survivors
Survivors in low well-being profiles may benefit from targeted interventions to reduce sedentary behavior, increase physical activity, and address fatigue and comorbidities. Those in high well-being profiles may need support to sustain healthy habits and manage emotional well-being.
When individuals face life pressure or significant family changes, individuals with better family adaptation can better survive the crisis. Although the influencing factors of family adaptation have been investigated, the application of potential profile analysis has yet to be found. This analytical approach can reveal different potential categories of family adaptation, providing new perspectives for theoretical development and interventions. This study used latent profile analysis to explore family adaptation levels in breast cancer patients and identify different latent categories, examining their characteristic differences. A cross-sectional study was conducted in Jinzhou, China, from July 2023 to March 2024. The questionnaire included Sociodemographic and clinical characteristics, Benefit Finding Scale (BFS), Dyadic Coping Scale (DCI), Chinese Perceived Stress Scales (PSS), and Family adaptability and cohesion evaluation scales (FACES). Mplus8.3 and SPSS26.0 software were used for data analysis. The latent profile analysis (LPA) method was used to fit the family adaptations of breast cancer patients. Three latent categories of family adaptation were identified: low-level family adaptation (21.5%), medium level family adaptation (47.8%), and high-level family adaptation (30.6%). All 14 items with high levels of family adaptation scored higher than the other two groups. In particular, out of all the categories, item 9, "The idea of educating children is sound," scored highest. Compared with the low-level group, the influential factors of family adaptation in the high-level group were BFS, DCI, PSS, relapse and personal monthly income; The factors influencing family adaptation at the middle level are DCI, BFS, breast cancer type, family history of breast cancer, and personal monthly income. Compared with the medium level group, PSS and DCI were the influential factors of family adaptation in the high-level group. Family adaptation in breast cancer patients can be divided into three categories: low-level, medium-level, and high-level. There were significant differences among different categories of family adaptation levels in “personal monthly income”, “family history of breast cancer”, “type of breast cancer”, “recurrence”, “dyadic coping”, “benefit finding”, and “perception stress”.
Aim
To assess early postoperative core symptoms in oesophageal cancer patients and their relationship with resilience.
Background
Patients with oesophageal cancer face a high number of severe symptoms in the early post‐operative period and require the development of an effective symptom management programme. Identifying core symptoms through network analysis helps in accurate patient care.
Design
A multicentre cross‐sectional study.
Methods
A cross‐sectional survey was conducted from August 2022 to August 2023 at three hospitals in Anhui Province, China. A total of 469 patients were recruited for this study and 418 (89.1%) patients completed this investigation. Using network analysis to find early post‐operative core symptoms in oesophageal cancer patients. Multiple linear regression was used to analyse resilience factors affecting core symptoms.
Results
Sadness was the most core symptom in oesophageal cancer patients in the early post‐operative period (rs = 1.41), followed by incision pain and difficulty breathing while resting (rs = 1.20, rs = 1.08). Resilience was significantly associated with patients' feelings of sadness, with optimism having the greatest impact on sadness (p < .01).
Conclusion
Sadness is the most core symptom in patients in the early post‐operative period and special attention should be paid to improving their level of resilience. Local symptoms and dysfunction in the early post‐operative period should be treated in a synergistic manner.
Impact
This study identifies core symptoms and their relationship to resilience in patients with oesophageal cancer in the early post‐operative period. Symptoms as the main core symptom in patients in the early post‐operative period, which was sadness and was significantly associated with resilience. Precise interventions can be made to target patients' core post‐operative symptoms, which can help improve the effectiveness of symptom management.
Reporting Method
We have complied with the relevant EQUATOR research reporting checklist.
Patient or Public Contribution
No patient or public contribution in the study.
