FreshRSS

🔒
❌ Acerca de FreshRSS
Hay nuevos artículos disponibles. Pincha para refrescar la página.
AnteayerWorldviews on Evidence-Based Nursing

Serial mediation roles of empowerment and self‐care activities connecting health literacy, quality of life, and glycemic control in people with type 2 diabetes

Abstract

Background

Health literacy, empowerment, and self-care activities are likely the crucial concepts affecting the quality of life and glycemic control in people with type 2 diabetes (T2D). However, evidence demonstrating the mechanisms underlying these concepts is scarce.

Aims

The aim of this study was to test the serial mediation roles of empowerment and self-care activities on the relationships between health literacy and quality of life and between health literacy and hemoglobin A1c (HbA1c) in people with T2D.

Methods

A cross-sectional study was conducted among 319 people with T2D in Guangzhou, China, from July 2019 to January 2020. Data were collected using the Health Literacy Scale, the Diabetes Empowerment Scale—Short Form, the Summary of Diabetes Self-Care Activities Measure, and the Adjusted Diabetes—Specific Quality of Life Scale. RStudio 4.2.1 was used for serial mediation analysis.

Results

The dimension of communicative health literacy accounted for the most total variance (β = 0.810, p < .001) in the construct of health literacy. The serial multiple mediation of empowerment and self-care activities in the associations between health literacy and quality of life (β = −.046, p = .019) and between health literacy and HbA1c (β = −.045, p = .005) were statistically significant.

Linking evidence to action

This study emphasized the vital role of communicative health literacy when improving health literacy in people with T2D. Diabetes care and education specialists could implement empowerment approaches and flexible self-care strategies to improve the quality of life and glycemic control in people with T2D. Enhancing health literacy was suggested as a favorable strategy for promoting empowerment and self-care activities in people with T2D.

Changes in fatigue among cancer patients before, during, and after radiation therapy: A meta‐analysis

Abstract

Background

Fatigue is a common symptom in cancer patients receiving radiotherapy. However, previous studies report inconsistent patterns of fatigue change.

Aim

The aim of this study was to estimate changes in fatigue among patients with cancer before, during, and after radiotherapy.

Methods

Five databases (PubMed, SDOL, CINAHL Plus with Full Text, Medline [ProQuest], and ProQuest Dissertations) were searched for studies published from January 2006 to May 2021. Three effect sizes of fatigue change (immediate, short-term, and long-term) were calculated for each primary study using standardized mean difference. A random-effect model was used to combine effect sizes across studies. Subgroup analyses and meta-regression were performed to identify potential categorical and continuous moderators, respectively.

Results

Sixty-five studies were included in this meta-analysis. The weighted mean effect size for immediate, short-term, and long-term effects was 0.409 (p < .001; 95% CI [0.280, 0.537]), 0.303 (p < .001; 95% CI [0.189, 0.417]), and 0.201 (p = .05; 95% CI [−0.001, 0.404]), respectively. Studies with prostate cancer patients had a significantly higher short-term (0.588) and long-term weight mean effect size (0.531) than studies with breast (0.128, −0.072) or other cancers (0.287, 0.215). Higher radiotherapy dosage was significantly associated with a higher effect size for both immediate (β = .0002, p < .05) and short-term (β = .0002, p < .05) effect.

Linking Evidence to Action

Findings from this meta-analysis indicated that radiotherapy-induced fatigue (RIF) exist for more than 3 months after the completion of treatment. Assessment of radiation-induced fatigue in cancer patients should extend long after treatment completion, especially for patients with prostate cancer and patients receiving a higher radiation dose. Interventions to reduce fatigue tailored for different treatment phases may be developed.

❌