Malnutrition in Hemodialysis Patients and Predicting Factors: A Cross-Sectional Study
| Author | Farahnaz Joukar | en |
| Author | Zahra Moradi | en |
| Author | Farideh Hasavari | en |
| Author | Zahra Atrkar Roushan | en |
| Author | Asieh Sedighi | en |
| Author | Mehrnaz Asgharnezhad | en |
| Orcid | Farahnaz Joukar [0000-0003-0102-0575] | en |
| Orcid | Zahra Atrkar Roushan [0000-0001-8687-1242] | en |
| Orcid | Mehrnaz Asgharnezhad [0000-0002-0409-3852] | en |
| Issued Date | 2019-08-11 | en |
| Abstract | Background: Protein-energy malnutrition, one of the most important risk factors for cardiovascular diseases, is common in 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 mean ± SD 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 sub-group 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. | en |
| DOI | https://doi.org/10.5812/numonthly.86586 | en |
| Keyword | Malnutrition | en |
| Keyword | Renal Dialysis | en |
| Keyword | Patients | en |
| Publisher | Brieflands | en |
| Title | Malnutrition in Hemodialysis Patients and Predicting Factors: A Cross-Sectional Study | en |
| Type | Research Article | en |
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