Introduction
Cervical cancer (CC) has ranked the fourth in the number of new cases of women in the world, and has become an important public health problem1. There were 600,000 new cases of CC worldwide in 2020, and the number of deaths due to CC reached 340,0002. In the treatment stage of cancer patients, cancer related fatigue (CRF) usually runs through all stages of patients’ radiotherapy, chemotherapy and even hospice care3. Ma showed that the overall incidence rate of CRF among 144,813 cancer patients was 52%4. Gernier followed up 45 CC patients and found that the proportion of physical fatigue and mental fatigue was 45.2% and 37.8% respectively5. Cancer survivors reported that CRF was a serious and destructive symptom that can last for months to years after treatment6,7. Therefore, it is necessary for clinical workers to carry out early screening for CRF in patients with CC.
Clinical prediction models (CPMs) are used to evaluate the probability of a specific subject suffering from a certain disease or obtaining a certain clinical result in the future8,9. Studies showed that age, BMI, current smoking behavior, anxiety, insomnia, pain at diagnosis, peroxygenase-5, and connector protein were predictive factors of the models of CRF in patient with breast cancer10,11. In order to help identify high-risk groups of CRF, we included the influencing factors of CRF, such as sociodemographic, clinical, psychological, and behavioral factors into the CPMs to provide theoretical basis for implementing intervention measures12,13.
Mindfulness-Based Stress Reduction (MBSR) training was effective for CRF and its influencing factors according to previous studies14-16. But under the background of COVID-19, domestic and foreign studies have chosen to take online intervention to make up for the defect that patients cannot go to the hospital for relevant treatment. Nissen conducted 8-week therapist directed Internet-delivered Mindfulness-Based Cognitive Therapy (iMBCT)17. Kang conducted an 8-week Internet based Mindfulness Decompression (iMBSR) for breast cancer survivors during COVID-19 in China18. The results showed that the mental health of cancer patients was significantly improved. This study aimed to provide a more scientific, accurate and convenient CPMS for predicting severe CRF. At the same time, under the background of COVID-19, MBSR training based on WeChat video guidance was used to intervene in the independent influencing factors of severe CRF, so as to prevent the occurrence of CRF in CC patients or reduce the degree of CRF.