AI Article Synopsis
- Previous research identified factors influencing the use of complementary medicine (CM) among cancer patients, this study aimed to connect CM benefits with various medical, sociodemographic, and psychosocial factors.
- In a survey of 292 cancer patients using CM, exploratory factor analysis identified two main expected benefits: a supportive effect (SPE) and an antitumoral effect (ATE).
- The study found that emotional functioning and breast cancer diagnosis are linked to higher SPE expectations, while ATE expectations are influenced by emotional state, education level, and presence of metastases, although these factors account for only a small portion of the variance observed.
Article Abstract
Introduction: Previous research showed that various factors are associated with the use of complementary medicine (CM) in cancer patients. This study aimed to analyse the expected benefits of CM use in its association with medical, sociodemographic and psychosocial variables.
Methods: In a cross-sectional survey, we assessed the use of CM, expected benefits of CM, depression and quality of life. An exploratory factor analysis (EFA) was performed. Multiple regression analysis was carried out with the factors derived from the EFA as dependent variables.
Results: Based on 292 cancer CM user, EFA revealed two factors: a supportive effect (SPE) and an antitumoral effect (ATE). In the multiple regression analysis, reduced emotional functioning and the diagnosis of breast cancer are associated with the higher expectation of a supportive effect of CM (p < 0.001), explaining 7.1% of the variance. Emotional functioning, educational level and metastases are associated with higher expectation of an antitumoral effect of CM (p < 0.001) and explained 14.8% of the variance.
Discussion: This study provides evidence that two overall domains (supportive effect and anti-tumoural effect) characterise the benefits of CM expected by cancer patients. Psychosocial and medical variables are associated with both domains, but explain only small proportion of the variance.
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| http://dx.doi.org/10.1111/ecc.13690 | DOI Listing |
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