高级检索
当前位置: 首页 > 详情页

State or trait? Measuring resilience by generalisability theory in breast cancer.

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE ◇ SSCI

机构: [a]Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, 510006, China [b]Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong Province, 510060, China [c]The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong Province, 510275, China [d]Institute of Tumor, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, 510006, China [e]Basic Medical School, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, 550025, China [f]Guangdong Academy of Population Development, Guangzhou, Guangdong Province, 510600, China [g]The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, 510405, China [h]South China University of Technology, Guangzhou, Guangdong Province, 510641, China
出处:
ISSN:

关键词: Resilience RS-SC Trait State Generalisability theory Breast cancer BRBC

摘要:
Whether resilience should be conceptualised as a state or trait is debated. The precise distinction between state versus trait aspects of resilience can help identify dynamic targets for resilience-based intervention trials involving cancer patients. This study was designed to disentangle the state and trait components of resilience in patients with breast cancer with the help of Generalisability Theory (GT) methods. The relative contributions of state (temporary) and trait (enduring) aspects of resilience were calculated using a 10-item Resilience Scale Specific to Cancer (RS-SC-10) and GT methods. In all, 391 patients were enrolled from the 'Be Resilient to Breast Cancer ' (BRBC) trial, and data from 317 patients (81.7%) were collected at baseline, 3 months, 6 months, and 12 months after the intervention. The subscale of Generic Elements demonstrated high generalisability value (relative G-coefficient = 0.81) across different occasions and captured 79% of the variance attributed to enduring aspects of resilience. The subscale of Shift-Persist showed low generalisability value (relative G-coefficient = 0.31) and identified 59% of the variance attributed to temporary aspects of resilience. The GT studies suggested that 5-7 items per scale and three measurement occasions were adequate for score reliability evaluation. Resilience should be conceptualised as a state-trait mixed psychological variable in breast cancer patients. The subscale of Shift-Persist in RS-SC-10 is amenable to intervention and could be utilised as a primary outcome in resilience-based intervention trials. None. Copyright © 2020 Elsevier Ltd. All rights reserved.

基金:
语种:
被引次数:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2019]版:
大类 | 4 区 医学
小类 | 2 区 护理 4 区 肿瘤学
最新[2025]版:
大类 | 3 区 医学
小类 | 2 区 护理 3 区 肿瘤学
JCR分区:
出版当年[2018]版:
Q1 NURSING Q4 ONCOLOGY
最新[2023]版:
Q1 NURSING Q3 ONCOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2018版] 出版当年五年平均 出版前一年[2017版] 出版后一年[2019版]

第一作者:
第一作者机构: [a]Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, 510006, China
共同第一作者:
通讯作者:
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:2018 今日访问量:0 总访问量:645 更新日期:2024-07-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 广东省中医院 技术支持:重庆聚合科技有限公司 地址:广州市越秀区大德路111号