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The effect of health literacy, self-efficacy, social support and fear of disease progression on the health-related quality of life of patients with cancer in China: a structural equation model

BACKGROUND: Health literacy (HL), self-efficacy (SE), social support (SS) and fear of disease progression (FOP) are all important factors affecting health-related quality of life (HRQoL) in cancer patients. However, their synergistic effects and underlying mechanisms on HRQoL in cancer patients rema...

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Autores principales: Zhang, Ling, Shi, Yumei, Deng, Jing, Yi, Dali, Chen, Ji-an
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353104/
https://www.ncbi.nlm.nih.gov/pubmed/37461043
http://dx.doi.org/10.1186/s12955-023-02159-1
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author Zhang, Ling
Shi, Yumei
Deng, Jing
Yi, Dali
Chen, Ji-an
author_facet Zhang, Ling
Shi, Yumei
Deng, Jing
Yi, Dali
Chen, Ji-an
author_sort Zhang, Ling
collection PubMed
description BACKGROUND: Health literacy (HL), self-efficacy (SE), social support (SS) and fear of disease progression (FOP) are all important factors affecting health-related quality of life (HRQoL) in cancer patients. However, their synergistic effects and underlying mechanisms on HRQoL in cancer patients remain unclear. Therefore, the purpose of this study was to construct a structural equation model (SEM) to explore the underlying mechanism of factors affecting HRQoL. It is hoped that this study will provide a theoretical basis for future interventions. METHODS: A cross-sectional design and convenience sampling method were used to investigate cancer inpatients in two general hospitals in Chongqing and Chengdu. Data were collected using structured scales, including HL, SE, SS, FOP and HRQoL. Finally, the SEM was constructed, and P ≤ 0.05 was considered significant. RESULTS: There were 1749 participants included in this study. Correlation analysis showed that all variables were significantly correlated with one another except for symptoms, physical health (PD) and social family (SF) (p < 0.01). The SEM of the HRQoL had a good overall fit (GFI = 0.943, AGFI = 0.917, NFI = 0.950, RFI = 0.936, CFI = 0.955, IFI = 0.955, RMSEA = 0.072). The model indicated that HL had the strongest correlation with HRQoL (β = 0.398, p < 0.01), followed by FOP (β = -0.364, p < 0.01), SE (β = 0.347, p < 0.01) and SS (β = 0.184, p < 0.01). CONCLUSIONS: The HRQoL of cancer patients is correlated with HL, SS, SE and FOP. HL can directly affect HRQoL and mediate HRQoL through SS and SE. Future programs should consider HL promotion, SE improvement and SS expansion as the breakthrough point when designing targeted intervention strategies. At the same time, the importance of the impact of FOP on the HRQoL of patients with cancer should not be ignored.
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spelling pubmed-103531042023-07-19 The effect of health literacy, self-efficacy, social support and fear of disease progression on the health-related quality of life of patients with cancer in China: a structural equation model Zhang, Ling Shi, Yumei Deng, Jing Yi, Dali Chen, Ji-an Health Qual Life Outcomes Research BACKGROUND: Health literacy (HL), self-efficacy (SE), social support (SS) and fear of disease progression (FOP) are all important factors affecting health-related quality of life (HRQoL) in cancer patients. However, their synergistic effects and underlying mechanisms on HRQoL in cancer patients remain unclear. Therefore, the purpose of this study was to construct a structural equation model (SEM) to explore the underlying mechanism of factors affecting HRQoL. It is hoped that this study will provide a theoretical basis for future interventions. METHODS: A cross-sectional design and convenience sampling method were used to investigate cancer inpatients in two general hospitals in Chongqing and Chengdu. Data were collected using structured scales, including HL, SE, SS, FOP and HRQoL. Finally, the SEM was constructed, and P ≤ 0.05 was considered significant. RESULTS: There were 1749 participants included in this study. Correlation analysis showed that all variables were significantly correlated with one another except for symptoms, physical health (PD) and social family (SF) (p < 0.01). The SEM of the HRQoL had a good overall fit (GFI = 0.943, AGFI = 0.917, NFI = 0.950, RFI = 0.936, CFI = 0.955, IFI = 0.955, RMSEA = 0.072). The model indicated that HL had the strongest correlation with HRQoL (β = 0.398, p < 0.01), followed by FOP (β = -0.364, p < 0.01), SE (β = 0.347, p < 0.01) and SS (β = 0.184, p < 0.01). CONCLUSIONS: The HRQoL of cancer patients is correlated with HL, SS, SE and FOP. HL can directly affect HRQoL and mediate HRQoL through SS and SE. Future programs should consider HL promotion, SE improvement and SS expansion as the breakthrough point when designing targeted intervention strategies. At the same time, the importance of the impact of FOP on the HRQoL of patients with cancer should not be ignored. BioMed Central 2023-07-18 /pmc/articles/PMC10353104/ /pubmed/37461043 http://dx.doi.org/10.1186/s12955-023-02159-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Ling
Shi, Yumei
Deng, Jing
Yi, Dali
Chen, Ji-an
The effect of health literacy, self-efficacy, social support and fear of disease progression on the health-related quality of life of patients with cancer in China: a structural equation model
title The effect of health literacy, self-efficacy, social support and fear of disease progression on the health-related quality of life of patients with cancer in China: a structural equation model
title_full The effect of health literacy, self-efficacy, social support and fear of disease progression on the health-related quality of life of patients with cancer in China: a structural equation model
title_fullStr The effect of health literacy, self-efficacy, social support and fear of disease progression on the health-related quality of life of patients with cancer in China: a structural equation model
title_full_unstemmed The effect of health literacy, self-efficacy, social support and fear of disease progression on the health-related quality of life of patients with cancer in China: a structural equation model
title_short The effect of health literacy, self-efficacy, social support and fear of disease progression on the health-related quality of life of patients with cancer in China: a structural equation model
title_sort effect of health literacy, self-efficacy, social support and fear of disease progression on the health-related quality of life of patients with cancer in china: a structural equation model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353104/
https://www.ncbi.nlm.nih.gov/pubmed/37461043
http://dx.doi.org/10.1186/s12955-023-02159-1
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