Influence of Self-Efficacy on Cancer-Related Fatigue and Health-Related Quality of Life in Young Survivors of Childhood Cancer

Masayo Saito, Izumi Hiramoto, Michihiro Yano, Arata Watanabe and Hideya Kodama
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Masayo Saito: Department of Nursing, School of Health Science, Akita University Graduate School of Medicine and Faculty of Medicine, Akita 010-8543, Japan
Izumi Hiramoto: Department of Nursing, School of Health Science, Akita University Graduate School of Medicine and Faculty of Medicine, Akita 010-8543, Japan
Michihiro Yano: Department of Pediatrics, Akita University Hospital, Akita 010-8543, Japan
Arata Watanabe: Department of Pediatrics, Nakadori General Hospital, Akita 010-8577, Japan
Hideya Kodama: Department of Nursing, School of Health Science, Akita University Graduate School of Medicine and Faculty of Medicine, Akita 010-8543, Japan

IJERPH, 2022, vol. 19, issue 3, 1-12

Abstract: This study aims to elucidate how self-efficacy influences cancer-related fatigue and health-related quality of life (HRQoL) in young survivors of childhood cancer. Forty-six young survivors (age range, 8–18 years) of childhood cancer who were currently in complete remission completed measures for self-efficacy (Pediatric General Self-Efficacy Scale (PedsSE)), cancer-related fatigue (Cancer-related Fatigue Score (CRFS)), and HRQoL (Pediatric Quality of Life Inventory 4.0 Generic Core Scale, Pediatric Quality of Life Inventory (PedsQL)). Structural relationships between the PedsSE and CRFS or PedsQL, including the effects of potential demographic or clinical confounders, were examined by machine learning random forest algorithms and structural equation modeling. According to the distribution of the PedsQL, six survivors with PedsQL < 70 were determined to have compromised HRQoL (referred to as “low-PedsQL survivors”). The random forest model identified six variables for the prediction of the CRFS, with the PedsSE being the most important, and eight variables for the distinction of low-PedsQL survivors, with the CRFS being the most and the PedsSE the third most important variable. The structural equation model indicated that a direct influence of the PedsSE on the PedsQL was less detectable (β = −0.049), whereas an indirect influence of the PedsSE on the PedsQL via the CRFS was evident (β = 0.333). The model explained 51% of the variation of the CRFS and 28% of the variation of the PedsQL. The PedsSE was strongly correlated with “altered mood” in the subclass of the CRFS (r = −0.470), and “altered mood” was strongly correlated with the PedsQL (r = 0.737). In conclusion, self-efficacy is a major determinant of cancer-related fatigue and influences HRQoL via cancer-related fatigue in survivors of childhood cancer. The main pathway from self-efficacy to HRQoL is thought to be via the emotional aspect of cancer-related fatigue. However, unlike adult survivors of cancer, self-efficacy for young survivors may not contribute much to self-management behaviors that maintain HRQoL.

Keywords: self-efficacy; cancer-related fatigue; health-related quality of life; childhood cancer survivors; structural equation model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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