malnutrition in hemodialysis patients and predicting factors: a cross-sectional study

Background: protein-energy malnutrition, oneof themostimportant risk factors for cardiovascular diseases, iscommonin dialysis patients. in this way, several characteristics and socio-economic factors could influence nutritional stats. the diagnosis of malnutrition and its related factors can assist the healthcare team in planning for the care of hemodialysis patients. objectives: in this study, we are aimed to determine the nutritional status among hemodialysis patients and characteristics and also socio-economic factors. methods: in this cross-sectional study, 312 patients were selected randomly. modified subjective global assessment (sga) tool was used for data collection. the data was expressed as meansd and frequency. logistic regression analysis was performed to detect predicting factors of malnutrition using spss software. results: about 65.1% of hemodialysis patients suffered from mild-to-moderate malnutrition and 15% of patients were severely malnourished. most patients were married (82.7%), low- income (63.1%), illiterate (63.8%) and employed (52.2 percent). following the subgroup analysis, we found significant weight changes in malnourished patients (p value = 0.000). in addition, we found that severely malnourished patients were older, married or divorced, unemployed and lived in large families compared with other groups (p value < 0.05). the illiterate people were in greater risk for malnutrition (aor = 8.14, 95% ci: 1.8 - 36.89). conclusions: socio-economic factors such as income, education, living conditions, marital status, family size and employment affect nutritional status. therefore, taking socio-economic factors into account can help the treatment team in the care of hemodialysis patients.