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.