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    Multiple factors influencing mortality in hemodialysis patients
    (Verduci Publisher, 2023) Yaprak, B.; Arslan, N.; Alatas, H.
    OBJECTIVE: Both decreased food intake and elevated inflammation contribute to malnutrition in hemodialysis (HD) patients. Malnutrition, inflammation, anthropometric measurements, and other comorbidity factors were investigated in this study as potential indicators of mortality in HD patients.PATIENTS AND METHODS: By measuring geriatric nutritional risk index (GNRI), malnutrition inflammation score (MIS), and prognostic nutritional index (PNI), 334 HD patients' nutritional status was assessed. Through the use of four different models and logistic regression analysis, the predictors of each individual's survival status were examined. The models were matched using the Hosmer-Lemeshow test. On the survival of patients, the effects of malnutrition indices in Model 1, anthropometric measurements in Model 2, blood parameters in Mod-el 3, and sociodemographic characteristics in Model 4 were investigated.RESULTS: Five years later, 286 individuals were still on hemodialysis. Patients who had a high GNRI value had a lower mortality rate in Model 1. The body mass index (BMI) value of the patients was found to be the best predictor of mortality in Model 2, and it was found that patients with high muscle percentage had a lower mortality risk. The difference in urea level measured at the beginning and end of hemodialysis was found to be the most potent predictor of mortality in Model 3, although C-reactive protein (CRP) level was also discovered to be one of the best predictors for this model. The final model, Model 4, revealed that mortality was low-er in women than in men and that income status was a reliable predictor of mortality estimation.CONCLUSIONS: The best indicator of mortality in hemodialysis patients is the malnutrition index.
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    The relationship between food addiction and emotional eating in individuals at risk for anorexia nervosa
    (Verduci Publisher, 2023) Aytas, O.; Alatas, H.
    OBJECTIVE: The aim of this study was to determine the relationship between anorexia nervosa, food addiction, and emotional eating.SUBJECTS AND METHODS: The study was carried out with 395 university students. The Eating Attitude Test (EAT)-26 was used to determine the risk of anorexia nervosa in individuals. Yale Eating Addiction Scale (YFAS) and The Dutch Eating Behavior Questionnaire (DEBQ) were used to determine the eating behaviors that may be effective in anorexia nervosa. Digital scales were used for weight measurement, and a non-stretchable tape measure according to standard techniques was used for measuring height, waist, and hip circumferences.RESULTS: In this study, in which individuals at (high and medium) risk of anorexia nervosa were examined, 62.03% were females, and the mean age was 25.21 +/- 4.33 years. The mean BMI value was 22.25 +/- 3.48 kg/cm2. In the study, 8.35% of people with both anorexia nervosa (AN) risk and food addiction made up 19.75% of the food addict population (p=0.023). The distribution of DEBQ scores by sub-dimension shows that AN risk decreases as external eating score decreases. The group at the highest risk for AN also had the highest emotional eating score (p=0.029). In the multiple linear regression analyses, emotional eating behavior, gender, and BMI were predictive factors for eating attitude or anorexia nervosa risk.CONCLUSIONS: Food addiction increases the risk of eating disorders and the most important factor affecting them is BMI. Women were more likely than men to have anorexia nervosa and food addiction. This study informed young adults about food addiction, eating disorders, and anorexia nervosa.