Zeng Jie YeEditorial on the Research Topic
Resilience in chronic disease, volume II
Resilience, defined as one's ability to “bounce back” from adversity, is an important attribute of patients challenged with chronic disease (1, 2). The call for submissions on Resilience in Chronic Disease: Volume I received a great response with a total of over 7,100 participants with chronic pain (3), cancer (4), irritable bowel disease (5, 6), cardiovascular disease (7), neurocognitive disorders (Wang et al.), renal transplant (8), rheumatoid arthritis (9), as well as caregivers for children with chronic illness (7), patients with liver cancer (10), and maintenance hemodialysis (7). However, most manuscript are performed with a cross-sectional design and the distinct resilience trajectories throughout the course of chronic disease are not well-explored in the first collection (11).
In Resilience in chronic disease, volume II, five articles and two systematic reviews with a total of over 2,000 patients and their caregivers are included. Different populations are added to this collection, including patients with stroke (Zhang et al.), breast cancer (Liang et al.), cervical spondylosis (Chu et al.), and disabilities (Abulaiti et al.) as well as pregnant women (Mei et al.). Both cross-sectional and longitudinal designs are utilized in these manuscripts and quantitative and qualitative data are also well-analyzed. In addition, one review conceptualizes the concept of suicide resilience (Wang et al.) and another review summarizes the effect of life review on psychospiritual outcomes among older adults with life-threatening illnesses (Liu et al.). These manuscripts provide insights to raise awareness as well as reduce the detrimental impact of different chronic disease on patients and their caregivers. However, several limitations still remain and should be further addressed in future collections. First, new resilience theory or instrument are still missing and the debate about resilience construction cannot be further advanced (12–14). Second, as for studies designed for associations between resilience and other psychosocial outcomes in different populations, measurement errors should be taken into consideration especially in the moderated mediation analysis. Third, several advanced methods including latent profile analysis and latent growth mixed model can be performed to explore heterogeneity in cross-sectional and longitudinal studies respectively, which can provide the robustness of the conclusion (15). Fourth, most resilience instruments and other patient reported outcomes (PROs) are based on Classical Test Theory (CTT) and its hypothesis of linear association between score and ability is not feasible in real world. Thus, several advanced psychometric methods (i.e., multidimensional item response theory, cognitive diagnosis model, etc.) can be utilized to get a more accurate estimation of ability compared to a total score (16–18). Fifth, intervention research designed for enhancing resilience and resilience-related PROs in patients with chronic disease and their caregivers are still scarce in this collection and the efficacy, sustainability and implementation challenges of resilience programs in patient with different chronic diseases should be further explained (19–22). At last, multi-modal and cross-modal methods including Functional Magnetic Resonance Imaging, Positron Emission Computed Tomography, Intracranial Electroencephalography, Magnetoencephalography, etc., can be performed to explore the associations between resilience and brain functions or structure (23, 24).
Author contributions
The author confirms being the sole contributor of this work and has approved it for publication.
Funding
This research was funded by grants from National Natural Science Foundation of China (Nos. 72274043 and 71904033), Young Elite Scientists Sponsorship Program by CACM (No. 2021-QNRC2-B08), Humanity and Social Science Foundation of Department of Education of Guangdong Province (No. 2020WTSCX009), Humanity and Social Science Foundation of Guangzhou (No. 2021GZGJ57), Guangdong Research Center for TCM Service and Industrial Development, Guangzhou University of Chinese Medicine (No. 2022ZDA03), and Humanity and Social Science Foundation of Guangzhou University of Chinese Medicine (No. 2021SKYB07).
Acknowledgments
Thanks are due to other guest editors of this Research Topic, Jun E. Liu, Anni Wang, Yuli Li, Melissa Thong, Tish Knobf, and numerous reviewers. This Research Topic would not be realized without their inputs and dedication.
Conflict of interest
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. Rutter M. Resilience in the face of adversity: Protective factors and resistance to psychiatric disorder. Brit J Psychiatry. (1985) 147:598–611. doi: 10.1192/bjp.147.6.598
2. Ye ZJ, Qiu HZ, Li PF, Liang MZ, Zhu YF, Zeng Z, et al. Predicting changes in quality of life and emotional distress in Chinese patients with lung, gastric, and colon-rectal cancer diagnoses: The role of psychological resilience. Psycho-Oncol. (2017) 26:829–35. doi: 10.1002/pon.4237
3. Orakpo N, Vieux U, Castro-Nuñez C. Case Report: Virtual reality neurofeedback therapy as a novel modality for sustained analgesia in centralized pain syndromes. Front. Psychiatry. (2021) 12:660105. doi: 10.3389/fpsyt.2021.660105
4. Tang L, Zhang Y, Pang Y, Zhou Y, Li J, Song L, et al. Validation of death and dying distress scale-chinese version and prevalence of death anxiety among patients with advanced cancer. Front. Psychiatry. (2021) 12:715756. doi: 10.3389/fpsyt.2021.715756
5. Funaba M, Kawanishi H, Fujii Y, Higami K, Tomita Y, Maruo K, et al. Hybrid cognitive behavioral therapy with interoceptive exposure for irritable bowel syndrome: A feasibility study. Front. Psychiatry. (2121) 12. doi: 10.3389/fpsyt.2021.673939
6. Luo D, Zhou M, Sun L, Lin Z, Bian Q, Liu M, et al. Resilience as a mediator of the association between perceived stigma and quality of life among people with inflammatory bowel disease. Front. Psychiatry. (2021) 12:709295. doi: 10.3389/fpsyt.2021.709295
7. Qiu Y, Xu L, Pan Y, He C, Huang Y, Xu H, et al. Family resilience, parenting styles and psychosocial adjustment of children with chronic illness: A cross-sectional study. Front. Psychiatry. (2021) 12:646421. doi: 10.3389/fpsyt.2021.646421
8. Hu SM, Li Y, Quan MT, Yang SJ, Wan ZM, Yan XY, et al. A study on the correlations of anxiety and depression with self-management ability and endogenous creatinine clearance rate in renal transplant recipients. Front. Psychiatry. (2021) 12:715509. doi: 10.3389/fpsyt.2021.715509
9. Shen B, Chen H, Yang D, Yolanda O, Yuan C, Du A, et al. A structural equation model of health-related quality of life in chinese patients with rheumatoid arthritis. Front. Psychiatry. (2021) 12:716996. doi: 10.3389/fpsyt.2021.716996
10. Mao S, Lu H, Zhang Y, Yu J, Li X, Peng J, et al. Evaluation of psychosocial pathways to family adaptation of chinese patients with liver cancer using the McCubbin's family resilience model. Front. Psychiatry. (2021) 12:703137. doi: 10.3389/fpsyt.2021.703137
11. Ye ZJ. Editorial: Resilience in chronic disease. Front. Psychiatry. (2022). 13:846370. doi: 10.3389/fpsyt.2022.846370
12. Ye ZJ, Zhang Z, Zhang XY, Tang Y, Chen P, Liang MZ, et al. State or trait? Measuring resilience by generalisability theory in breast cancer. Eur J Oncol Nurs. (2020) 46:101727. doi: 10.1016/j.ejon.2020.101727
13. Ye ZJ, Liang MZ, Li PF, Sun Z, Chen P, Hu GY, et al. New resilience instrument for patients with cancer. Qual Life Res. (2018) 27:355–65. doi: 10.1007/s11136-017-1736-9
14. Liang MZ, Tang Y, Chen P, Liang J, Sun Z, Hu GY, et al. New resilience instrument for family caregivers in cancer: A multidimensional item response theory analysis. Health Qual Life Outcomes. (2021) 19:258. doi: 10.1186/s12955-021-01893-8
15. Ye ZJ, Zhang Z, Tang Y, Liang J, Sun Z, Hu GY, et al. Resilience patterns and transitions in the be resilient to breast cancer trial: An exploratory latent profile transition analysis. Psychooncology. (2021) 30:901–9. doi: 10.1002/pon.5668
16. Ye ZJ, Zhang Z, Tang Y, Liang J, Sun Z, Zhang XY, et al. Development and psychometric analysis of the 10-item resilience scale specific to cancer: A multidimensional item response theory analysis. Eur J Oncol Nurs. (2019) 41:64–71. doi: 10.1016/j.ejon.2019.06.005
17. Ye ZJ, Liang MZ, Zhang HW, Li PF, Ouyang XR, Yu YL, et al. Psychometric properties of the Chinese version of resilience scale specific to cancer: An item response theory analysis. Qual Life Res. (2018) 27:1635–45. doi: 10.1007/s11136-018-1835-2
18. Liang M, Chen P, Molassiotis A, Jeon S, Tang Y, Hu G, et al. Measurement invariance of 10-item resilience scale specific to cancer in Americans and Chinese: A propensity score-based multidimensional item response theory analysis. Asia Pac J Oncol Nurs. (2022) 10:100171. doi: 10.1016/j.apjon.2022.100171
19. Liu JJW, Ein N, Gervasio J, Battaion M, Reed M, Vickers K. Comprehensive meta-analysis of resilience interventions. Clin Psychol Rev. (2020) 82:101919. doi: 10.1016/j.cpr.2020.101919
20. Ye ZJ, Qiu HZ, Liang MZ, Liu ML, Li PF, Chen P, et al. Effect of a mentor-based, supportive-expressive program, Be Resilient to Breast Cancer, on survival in metastatic breast cancer—A randomized, controlled intervention trial. Br J Cancer. (2017) 117:1486–94. doi: 10.1038/bjc.2017.325
21. Ye ZJ, Liang MZ, Qiu HZ, Liu ML, Hu GY, Zhu YF, et al. Effect of a multidiscipline mentor-based program, be resilient to breast cancer (BRBC), on female breast cancer survivors in mainland china—A randomized, controlled, theoretically-derived intervention trial. Breast Cancer Res Tr. (2016) 158:509–22. doi: 10.1007/s10549-016-3881-1
22. Ye ZJ, Zhang Z, Zhang XY, Tang Y, Liang J, Sun Z, et al. Effectiveness of adjuvant supportive-expressive group therapy for breast cancer. Breast Cancer Res Tr. (2020) 180:121–34. doi: 10.1007/s10549-020-05526-4
23. Eaton S, Cornwell H, Hamilton-Giachritsis C, Fairchild G. Resilience and young people's brain structure, function and connectivity: A systematic review. Neurosci Biobehav Rev. (2022) 132:936–56. doi: 10.1016/j.neubiorev.2021.11.001
Keywords: resilience, chronic disease, vulnerability, cognition, intervention, psychosomatic
Citation: Ye ZJ (2023) Editorial: Resilience in chronic disease, volume II. Front. Psychiatry 14:1209709. doi: 10.3389/fpsyt.2023.1209709
Received: 21 April 2023; Accepted: 03 May 2023;
Published: 25 May 2023.
Edited and reviewed by: Stefan Borgwardt, University of Lübeck, Germany
Copyright © 2023 Ye. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Zeng Jie Ye, zengjieye@qq.com