Factors influencing quality of life among childhood cancer survivors in Korea: A quantile regression approach.
Hye Chong HongYoung Man KimAri MinPublished in: Research in nursing & health (2021)
Cancer treatment in childhood may negatively affect survivors' quality of life. In this study, we aimed to determine the contributing factors for health-related quality of life (HRQOL) in survivors of childhood cancer in Korea using quantile regression analysis. This study was a secondary analysis. Data were collected from 130 childhood cancer survivors (CCS) from November 2018 to July 2019. Participants completed the Memorial Symptom Assessment Scale, Depression Anxiety Stress Scale, Health-Promoting Lifestyle Profile-II, and 36-Item Short Form Health Survey (physical component summary [PCS] and mental component summary [MCS]). Quantile and multiple linear regressions were used to analyze the factors contributing to HRQOL. The quantile and linear regression models revealed different results on the contributing factors to HRQOL in CCS. Mean PCS and MCS scores were 78.55 (SD = 15.08) and 64.02 (SD = 18.00), respectively. Symptoms (e.g., difficulty concentrating, worrying, pain, and lack of energy), physical activity, spiritual growth, interpersonal relationships, stress management, depression, and anxiety were significant influencing factors in some PCS quantiles, while symptoms, spiritual growth, interpersonal relationships, depression, and stress were significant influencing factors in some MCS quantiles. The findings of this study showed specific contributing factors in CCS with different levels of HRQOL. There is a need for targeted interventions related to risk reduction and stratification for CCS with different HRQOL levels. Symptom management strategies, early detection programs for CCS with psychological distress, and clinical and counseling interventions for CCS with poor HRQOL need to be developed.
Keyphrases
- childhood cancer
- physical activity
- young adults
- sleep quality
- public health
- depressive symptoms
- chronic pain
- type diabetes
- metabolic syndrome
- risk assessment
- single cell
- cardiovascular disease
- drug delivery
- body mass index
- neural network
- artificial intelligence
- heat stress
- advanced cancer
- spinal cord injury
- pain management
- men who have sex with men
- big data
- patient reported