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Liang M, Zhong T, Knobf MT, Chen L, Xu M, Cheng B, Pan Y, Zhou J, Ye Z. Sentinel and networked symptoms in patients with breast cancer undergoing chemotherapy. Eur J Oncol Nurs 2024; 70:102566. [PMID: 38513452 DOI: 10.1016/j.ejon.2024.102566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 03/09/2024] [Accepted: 03/12/2024] [Indexed: 03/23/2024]
Abstract
PURPOSE It was designed to identify the symptom clusters and sentinel symptoms among patients with breast cancer receiving chemotherapy at the community level, and to explore core and bridge symptoms at the global level. METHODS A cross-sectional survey was conducted using the MD Anderson Symptom Inventory. Patients with breast cancer receiving chemotherapy, recruited from the "Be Resilient to Breast Cancer" project between January 2023 and December 2023, were included in the study. Symptom clusters and their sentinel symptoms were identified using exploratory factor analysis and Apriori algorithm. Core and bridge symptoms were identified using network analysis. RESULTS A total of 468 patients with breast cancer participated in the current study. At the community level, three symptom clusters and their corresponding sentinel symptoms were identified: a gastrointestinal symptom cluster (with nausea as the sentinel symptom), a psycho-sleep-related symptom cluster (with distress as the sentinel symptom), and a neurocognition symptom cluster (with dry mouth as the sentinel symptom). At the global level, fatigue emerged as the core symptom, while disturbed sleep and lack of appetite as bridge symptoms. CONCLUSION Addressing nausea, distress, and dry mouth are imperative for alleviating specific symptom clusters at the community level. Furthermore, targeting fatigue, disturbed sleep, and lack of appetite are crucial to break the interactions among diverse symptoms at the global level.
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Affiliation(s)
- Minyu Liang
- School of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China
| | - Tong Zhong
- Tumor Radiotherapy Department, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, Guangdong Province, China
| | - M Tish Knobf
- School of Nursing, Yale University, Orange, CT, United States
| | - Lisi Chen
- Department of Medical Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, China
| | - Min Xu
- Galactophore Department, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, China
| | - Beibei Cheng
- Thyroid and Breast Department, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, Guangdong Province, China
| | - Yichao Pan
- Department of Cardiology, Guangzhou First People's Hospital, Guangzhou, Guangdong Province, China
| | - Jian Zhou
- Galactophore Department, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.
| | - Zengjie Ye
- School of Nursing, Guangzhou Medical University, Guangzhou, Guangdong Province, China.
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Li S, Jiang Y, Yuan B, Wang M, Zeng Y, Knobf MT, Wu J, Ye Z. The interplay between stigma and sleep quality in breast cancer: A cross-sectional network analysis. Eur J Oncol Nurs 2024; 68:102502. [PMID: 38194900 DOI: 10.1016/j.ejon.2023.102502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/16/2023] [Accepted: 12/26/2023] [Indexed: 01/11/2024]
Abstract
PURPOSE Stigma, a subjective internal shame, arises from the association of cancer with death. Sleep quality can be considered a product of stigma. However, the extent of overlap or difference between the two remains unclear. METHODS In total, 512 survivors with breast cancer were recruited from the "Be Resilient to Breast Cancer" project between May and August 2023. This study estimated the stigma, sleep quality, and their relationship by conducting a cross-sectional network analysis. The social impact scale and Pittsburgh Sleep Quality Index scale were employed in this study. RESULTS The core symptom for stigma from the network analysis was alienation by people (Strength = 1.213, Betweenness = 13, Closeness = 0.00211). The core symptom for sleep quality were the sleep quality (Str = 1.114, Bet = 17, Clo = 0.01586). Regarding the combination network, results showed that self-isolation and daytime dysfunction were the bridge nodes and that daytime dysfunction was positively associated with feeling less capable than before (according to self) (r = 0.15). CONCLUSION Our study demonstrates the core symptoms in different symptomatic networks, which can be targeted for treatment personalization and aid in the improvement of sleep quality and stigma in breast cancer patients.
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Affiliation(s)
- Shuhan Li
- School of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China
| | - Yingting Jiang
- School of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China
| | - Bixia Yuan
- School of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China
| | - Minyi Wang
- School of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China
| | - Yihao Zeng
- School of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China
| | - M Tish Knobf
- School of Nursing, Yale University, Orange, CT, United States
| | - Jiahua Wu
- Department of Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong Province, China.
| | - Zengjie Ye
- School of Nursing, Guangzhou Medical University, Guangzhou, Guangdong Province, China.
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Liang MZ, Liu ML, Tang Y, Molassiotis A, Knobf MT, Chen P, Hu GY, Sun Z, Yu YL, Ye ZJ. Heterogeneity in resilience patterns and its prediction of 1-year quality of life outcomes among patients with newly diagnosed cancer: An exploratory piecewise growth mixture model analysis. Eur J Oncol Nurs 2023; 66:102374. [PMID: 37499404 DOI: 10.1016/j.ejon.2023.102374] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 05/25/2023] [Accepted: 06/14/2023] [Indexed: 07/29/2023]
Abstract
PURPOSE This study was designed to explore the impact of a new cancer diagnosis on resilience of patients and whether the resilience patterns could predict Quality of Life (QoL) in the first year. METHODS An exploratory linear piecewise growth mixture modeling (PGMM) with one hypothetical dot (3 months since diagnosis, T1) was employed to identify different resilience patterns and growth in 289 patients with different cancer diagnoses at five assessment occasions (T0-T4). Logistic regression analysis was performed to select potential predictors and receiver operating characteristic (ROC) curve analysis was utilized to test PGMM's discriminative ability against 1-year QoL. RESULTS Five discrete resilience trajectories with two growing trends were identified, including "Transcendence" (7.3%), "Resilient" (47.4%), "Recovery" (18.7%), "Damaged" (14.9%) and "Maladaption" (11.8%). Advanced stage, colorectal cancer, and receiving surgery therapy were significant predictors of negative resilience trajectories ("Damaged" or "Maladaption"). Discriminative ability was good for PGMM (AUC = 0.81, 95%CI, 0.76-0.85, P < 0.0001). CONCLUSION Heterogeneity is identified in resilience growth before and after 3 months since diagnosis. 26.7% newly diagnosed patients need additional attention especially for those with advanced colorectal cancer and receiving surgery therapy.
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Affiliation(s)
- Mu Zi Liang
- Guangdong Academy of Population Development, Guangzhou, China
| | - Mei Ling Liu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Ying Tang
- Institute of Tumor, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Alex Molassiotis
- College of Arts, Humanities and Education, University of Derby, Derby, United Kingdom
| | - M Tish Knobf
- School of Nursing, Yale University, Orange, CT, United States
| | - Peng Chen
- Basic Medical School, Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Guang Yun Hu
- Army Medical University, Chongqing Municipality, China
| | - Zhe Sun
- The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yuan Liang Yu
- South China University of Technology, Guangzhou, China
| | - Zeng Jie Ye
- School of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.
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Ye ZJ. Editorial: Resilience in chronic disease, volume II. Front Psychiatry 2023; 14:1209709. [PMID: 37304437 PMCID: PMC10248497 DOI: 10.3389/fpsyt.2023.1209709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 05/03/2023] [Indexed: 06/13/2023] Open
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Önal G, Huri M, Karakükçü M, Demir HA. The Resilience Scale for Parents of Children with Cancer: Scale development and psychometric evaluation. Psychooncology 2023. [PMID: 37060214 DOI: 10.1002/pon.6137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 04/04/2023] [Accepted: 04/07/2023] [Indexed: 04/16/2023]
Abstract
OBJECTIVE This study aimed to develop a Resilience Scale for Parents of Children with Cancer (RSP-CC) designed specifically for parents of children with cancer and to evaluate its psychometric properties. METHODS Based on the Resilience Model for Families of Children with Cancer, items were created after an extensive literature review and evaluated through expert consultation and a pilot study. Psychometric evaluation was conducted with the parents of 601 children with cancer in the pediatric hematology oncology services of different hospitals in the Ankara and Kayseri provinces in Turkey. RESULTS A 4-factor structure was illustrated by exploratory factor analysis and confirmed by confirmatory factor analysis, explaining 62.192% of the total variance. In the reliability analysis of the scale, Interclass correlation = 0.993 and Cronbach's alpha = 0.994 were found for the scale. Robust correlation coefficients were found between test-retest, and the correlation between the two measurements was statistically significant (r = 0.990; p ˂ 0.001). As a result, the validity of a 24-item scale structure consisting of 4 dimensions was validated. CONCLUSIONS It may be said that the RSP-CC meets the necessary criteria to examine the resilience in parents of children aged 0-18 with a cancer diagnosis, and its psychometric properties are reasonable sufficient.
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Affiliation(s)
- Gözde Önal
- Department of Occupational Therapy, Ankara Medipol University, Ankara, Turkey
| | - Meral Huri
- Department of Occupational Therapy, Hacettepe University, Ankara, Turkey
| | | | - Hacı Ahmet Demir
- Department of Pediatric Hematology and Oncology, Private Ankara Memorial Hospital, Ankara, Turkey
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Liang MZ, Chen P, Knobf MT, Molassiotis A, Tang Y, Hu GY, Sun Z, Yu YL, Ye ZJ. Measuring resilience by cognitive diagnosis models and its prediction of 6-month quality of life in Be Resilient to Breast Cancer (BRBC). Front Psychiatry 2023; 14:1102258. [PMID: 36873211 PMCID: PMC9978149 DOI: 10.3389/fpsyt.2023.1102258] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 01/30/2023] [Indexed: 02/18/2023] Open
Abstract
Objective The application of advanced Cognitive Diagnosis Models (CDMs) in the Patient Reported Outcome (PRO) is limited due to its complex statistics. This study was designed to measure resilience using CDMs and its prediction of 6-month Quality of Life (QoL) in breast cancer. Methods A total of 492 patients were longitudinally enrolled from Be Resilient to Breast Cancer (BRBC) and administered with 10-item Resilience Scale Specific to Cancer (RS-SC-10) and Functional Assessment of Cancer Therapy-Breast (FACT-B). Generalized Deterministic Input, Noisy "And" Gate (G-DINA) was performed to measure cognitive diagnostic probabilities (CDPs) of resilience. Integrated Discrimination Improvement (IDI) and Net Reclassification Improvement (NRI) were utilized to estimate the incremental prediction value of cognitive diagnostic probabilities over total score. Results CDPs of resilience improved prediction of 6-month QoL above conventional total score. AUC increased from 82.6-88.8% to 95.2-96.5% in four cohorts (all P < 0.001). The NRI ranged from 15.13 to 54.01% and IDI ranged from 24.69 to 47.55% (all P < 0.001). Conclusion CDPs of resilience contribute to a more accurate prediction of 6-month QoL above conventional total score. CDMs could help optimize Patient Reported Outcomes (PROs) measurement in breast cancer.
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Affiliation(s)
- Mu Zi Liang
- Guangdong Academy of Population Development, Guangzhou, Guangdong, China
| | - Peng Chen
- Basic Medical School, Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - M. Tish Knobf
- School of Nursing, Yale University, Orange, CT, United States
| | - Alex Molassiotis
- College of Arts, Humanities and Education, University of Derby, Derby, United Kingdom
| | - Ying Tang
- Institute of Tumor, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Guang Yun Hu
- School of Nursing, Army Medical University, Chongqing, China
| | - Zhe Sun
- The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Yuan Liang Yu
- Mental Health Education and Counseling Center, South China University of Technology, Guangzhou, Guangdong, China
| | - Zeng Jie Ye
- School of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
- *Correspondence: Zeng Jie Ye,
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