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Designing a Causal Model of Life Expectancy in Patients with Cancer Diseases based on Mental Toughness, Interpretation Bias and Body Image
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Mozaffar Ghaffari *   , Ahmad Esmali , Vahid Abdolmanafi , Kobra Faragji |
| Payame Noor University , mozaffar.ghaffari@pnu.ac.ir |
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Abstract: (178 Views) |
AIMS: Patients with chronic diseases have a low life expectancy. Therefore, the present study aimed to designing the causal model of life expectancy in patients with cancer diseases based on mental toughness, interpretation bias and body image.
METHODS: The present research method is descriptive and correlation
type (structural equations). The statistical population of the study was all cancer patients in Tabrize city at 2023 years. The statistical sample was 250 patients who were selected in a purposive sampling. In data collection, Miller's life expectancy(1988), Gaffiero et al.'s bias in pain interpretation(2022), Clough's mental toughness (2002) and Littleton's wory about body image (2008) questionnaires were used. The collected data were analyzed using AMOS and SPSS version 24 software.
FINDINGS: The results indicated that the 35% of the variance of the life expectancy variable was explained through the variables of the model. The direct effect of mental toughness (0.41), wory about body image (-0.28) and interpretation bias (-0.38) on the level of life expectancy was significant. And the indirect effect of wory about body image (t-value = 2.95) and mental toughness (t-value = 2.1) with the mediation role of interpretation bias on the life expectancy was significant.
CONCLUSION: Considering the direct and indirect effect of the interpretation bias, mental stability and self-image on the level of life expectancy, it seems that by strengthening mental toughness, improving interpretation bias and worry about body image in patients with cancer diseases, the life expectancy can be strengthened.
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| Keywords: Life Expectancy, Mental Toughness, Interpretation Bias, Body Image, Cancer. |
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Type of Study: Psychiatric and Mental Health Nursing |
Subject:
behavioral sciences
Received: 2024/03/4 | Accepted: 2024/03/30 | Published: 2024/07/31
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