Ates, Sema; Binay, Sengul Korkmaz; Karakurt, Papatya

Background: Health literacy and nutrition are crucial for managing diseases and protecting the health of individuals with chronic conditions. Aim: This study aimed to determine the digital healthy diet literacy and health literacy of individuals with chronic diseases in a city center in eastern Turkiye. Methods: This descriptive study was conducted with 451 volunteer participants living in a city center in eastern Turkiye between July and December 2022. Data were collected through face-to-face surveys using Descriptive Characteristics Form, Health Literacy Instrument-Short Form, and Digital Healthy Diet Literacy Instrument. Data were analyzed using number, percentage, mean, t-test for independent groups, Kruskal-Wallis test, and correlation analysis. Results: The mean age of the participants was 39.28 . 13.61 years, and 54.3% were female. The mean score for the Health Literacy Instrument-Short Form was 28.36 . 6.05, and the mean score for the Digital Healthy Diet Literacy Instrument score was 26.11 . 11.51. A negative, statistically significant, weak relationship was found between the participants' ages and the mean scores forthe Health Literacy Instrument-Short Form and Digital Healthy Diet Literacy Instrument. Additionally, a weak positive and statistically significant relationship was observed between the Health Literacy Instrument-Short Form and Digital Healthy Diet Literacy Instrument (P < 0.05). Conclusion: The health literacy and digital healthy diet literacy levels of individuals with chronic diseases were found to be at a medium level, with a positive relationship between health literacy and digital healthy diet literacy levels.

Kanbay, Yalçın; Firat, Meryem; Gökmen, Burcu Demir; Utkan, Mehmet

Background: It is important to identify the factors that affect burnout and examining psychological resilience, which is thought to have a positive impact on burnout. Aim: This cross-sectional study was conducted to examine the effects of psychological resilience and other factors on nurses’ burnout levels. Method: Data were collected between June and August 2020 using the snowball sampling method. The sample consisted of 275 nurses working in different facilities across our country. The data collection instruments used were the “Demographic Characteristics Form,” the “Brief Psychological Resilience Scale,” and the “Burnout Scale Short Form.” Data were analyzed with numbers, averages, percentages, and the structural equation model explaining the relationship between the observed/hidden variables. Results: The goodness-of-fit values of the revised model for estimating factors influencing burnout in the nursing population were acceptable (χ2 = 252.41, χ2/df = 2.25, NFI (Normed Fit Index) = 0.92, TLI (Tucker Leis Index) = 0.94, CFI (Comparative Fit Index) = 0.95, GFI (Goodness of Fit Index) = 0.90, AGFI (Adjustment Goodness of Fit Index) = 0.88, RMSEA (Root Mean Square Error of Approximation) = 0.07, RMR (Root Mean Square Residual) = 0.14). Psychological resilience (t = −6.913; P < .001) in the model had 53% effect on burnout, while job satisfaction (t = −4.815; P < .001) had 31% effect. As can be seen, the level of “psychological resilience” and “job satisfaction” affected burnout in nurses by 59%. As the psychological resilience and job satisfaction levels of nurses increased, the burnout level decreased. However, the gender, age, marital status, family type, seniority, and educational status variables did not contribute significantly to the model. Conclusion: According to the model obtained from the study, it was found that psychological resilience and job satisfaction were variables that influenced burnout levels in the opposite direction. Efforts can be made to enhance the psychological resilience of nurses.