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Estimation of the Relationship Structure of Quality of Life Mediated by Difficulty in Daily Life in Survivors of Breast Cancer: a Bayesian structural equation modeling approach
Watanabe, A.; Kawaguchi, T.; Nobematsu, A.; Sasada, S.; Kanari, N.; Maru, T.; Kobayashi, T. Estimation of a Structural Equation Modeling of Quality of Life Mediated by Difficulty in Daily Life in Survivors of Breast Cancer. Healthcare2023, 11, 2082.
Watanabe, A.; Kawaguchi, T.; Nobematsu, A.; Sasada, S.; Kanari, N.; Maru, T.; Kobayashi, T. Estimation of a Structural Equation Modeling of Quality of Life Mediated by Difficulty in Daily Life in Survivors of Breast Cancer. Healthcare 2023, 11, 2082.
Watanabe, A.; Kawaguchi, T.; Nobematsu, A.; Sasada, S.; Kanari, N.; Maru, T.; Kobayashi, T. Estimation of a Structural Equation Modeling of Quality of Life Mediated by Difficulty in Daily Life in Survivors of Breast Cancer. Healthcare2023, 11, 2082.
Watanabe, A.; Kawaguchi, T.; Nobematsu, A.; Sasada, S.; Kanari, N.; Maru, T.; Kobayashi, T. Estimation of a Structural Equation Modeling of Quality of Life Mediated by Difficulty in Daily Life in Survivors of Breast Cancer. Healthcare 2023, 11, 2082.
Abstract
Background The purpose of this study was to clarify the relationship structure of quality of life (QOL) in survivors of breast cancer, including difficulty in daily life and negative experience as health-related indicators.
Methods Participants were survivors of breast cancer for more than 2 years after primary breast cancer surgery and belonged to self-help groups. The assessment used FACT-B (QOL), HADS (anxiety and depression), SOC (sense of coherence), WHODAS 2.0 (difficulties in daily life), and CAOD (negative experiences). Bayesian structural equation modeling (BSEM) was performed to analyze the hypothesized model. If the causal model was significant, multiplication of the path coefficient from anxiety and depression to QOL, and from SOC to anxiety and depression, was considered a direct effect on QOL, and from SOC to difficulty in daily life, from difficulty in daily life to negative experiences, and from negative experiences to anxiety and depression were considered indirect effects on QOL.
Results Goodness of fit of the model in the BSEM was satisfactory. The direct effect was 0.274, and indirect effect was 0.163.
Conclusions These direct and indirect approaches to difficulties in daily life are very significant because they can provide a basis for development of support strategies to increase QOL.
Keywords
breast cancer; survivors; Bayesian structural equation modeling; Quality of life; Difficulty in daily life
Subject
Public Health and Healthcare, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
