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  • Title: A Structural Equation Model Linking Health Literacy to Self-efficacy, Self-care Activities, and Health-related Quality of Life in Patients with Type 2 Diabetes.
    Author: Lee EH, Lee YW, Moon SH.
    Journal: Asian Nurs Res (Korean Soc Nurs Sci); 2016 Mar; 10(1):82-7. PubMed ID: 27021840.
    Abstract:
    PURPOSE: Health literacy has been attracting increasing attention because low health literacy is considered an important predictor of adverse health outcomes in many chronic conditions, including diabetes. However, it is unclear how health literacy is associated with health outcomes. The purpose of this study was to formulate a hypothetical structural equation model linking health literacy to self-efficacy, self-care activities, and health-related quality of life (HRQOL) in patients with type 2 diabetes. METHODS: A cross-sectional survey design was employed, and 459 patients with type 2 diabetes were recruited from outpatient clinics in two university hospitals. The patients completed a pack of questionnaires. The hypothetical model was tested using structural equation modeling analysis. RESULTS: The values of multiple fit indices indicated that the proposed model provided a good fit to the data. Health literacy exerted not only a direct effect on self-care activities, but also an indirect effect on self-care activities via self-efficacy. However, health literacy exerted only an indirect effect on HRQOL. This structural model was invariant across hemoglobin-A1c-controlled and hemoglobin-A1c-uncontrolled groups. Based on R(2) values, the final model accounted for 20.0% of the variance in self-efficacy, 61.0% of the variance in self-care activities, and 16.0% of the variance in HRQOL. CONCLUSIONS: This study suggests that self-care activities are crucial to the link between health literacy and HRQOL. Both health literacy and self-efficacy need to be considered in clinical practice for enhancing self-care activities in patients with type 2 diabetes. This approach may ultimately improve HRQOL in these patients.
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