Mohsen Taghavi; Seyyed Ali Keshavarz; Alireza Hoveyda; Asal Ataie-Jafari
Volume 3, Issue 4 , December 2020, , Pages 14-18
Abstract
Chronic renal failure (CKD) is a progressive and irreversible disease that in the final stages (ESRD), the person forever needs kidney replacement therapy such as hemodialysis. Protein-energy malnutrition is very common among hemodialysis patients and depression is also very common in these patients. ...
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Chronic renal failure (CKD) is a progressive and irreversible disease that in the final stages (ESRD), the person forever needs kidney replacement therapy such as hemodialysis. Protein-energy malnutrition is very common among hemodialysis patients and depression is also very common in these patients. This study was designed to determine the relationship between depression and malnutrition in patients undergoing hemodialysis. In this study, the Depression, Anxiety and Stress Scale- 21 Items (DASS-21) questionnaire was used to determine depression and Subjective Global Assessment (SGA), Malnutrition Inflammation Score (MIS), and Dialysis Malnutrition Score (DMS) questionnaires were used to determine malnutrition. Demographic, anthropometric, biochemical, and clinical indicators were also examined. The study involved 100 patients (59 men and 41 women). The mean age of participants was 62.12 ± 13.22. According to the DASS-21 questionnaire, 59% of patients had depression. Also, 23%, 25%, and 23% of patients were malnourished based on the results of SGA, MIS, and DMS questionnaires. There was no statistically significant relationship between depression and malnutrition. Also, the relation between depression and most demographic, anthropometric, biochemical, and clinical variables was not significant. But there was a significant relationship between depression and the duration of hemodialysis in men (r =-0.29, p=0.02) and serum level of TIBC in all participants (r =-0.21, p=0.03). In this study, depression was not associated with malnutrition. Further studies are needed to determine this relationship.
Maryam Moussavi; Majid Karandish; Ariyo Movahedi; Behnood Abbasi
Volume 3, Issue 1 , March 2020, , Pages 11-14
Abstract
Bioelectrical impedance analysis (BIA) is a simple, inexpensive, quick, and non-invasive technique for measuring body composition and its analysis is used as an alternative to examine muscle mass and body fat percentage Obesity and depression are two major public health problems among adolescents. Both ...
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Bioelectrical impedance analysis (BIA) is a simple, inexpensive, quick, and non-invasive technique for measuring body composition and its analysis is used as an alternative to examine muscle mass and body fat percentage Obesity and depression are two major public health problems among adolescents. Both obesity and depression are very prevalent and associated with numerous health complications, including hypertension, coronary heart disease, diabetes, and increased mortality. The present study was a cross-sectional study on 157 adult females and males from student and staff of Science and Research Branch of Islamic Azad University (SRBIAU) of Tehran that classified in two groups of normal weight and overweight or obese. The proportion of body tissues was determined according to the resistance created. The weight of the subjects was measured and recorded using BIA. Using the DASS-21 Questionnaire for Depression, Anxiety and Stress Based on the present findings, anthropometric indices such as weight, skeletal muscle mass, body mass index, waist to hip ratio, visceral fat level, whole-body water (L), body fat mass (kg), basal metabolic ratio (kcal), degree of obesity (%) ), fat percentage analysis (%), muscle weight analysis (kg), muscle percentage analysis were significantly different between the two groups (P <0.0001) and were higher in obese or overweight groups than the normal one. There were no significant differences in anxiety (p=0.496), stress (p=0.407), and mental health score (p=0.251) in both groups. Whereas, depression was significantly higher in the overweight or obese group (p=0.012). There was no meaningful relationship between BMI and stress (CC=0.04, P=0.612), anxiety (CC=0.052, P=0.519), whereas the positive correlation between BMI and depression (CC=0.932, P=0.035) was significant. There was a direct relationship between obesity and depression, anxiety, and stress. BMI correlates positively with mental health parameters.
