Relationship between Body Mass Index (BMI) and Comorbidities in Dialysis Patients
- Authors
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Dr . Fathia Faid
1 University of Musrata , Faculty oh Health Sciences, Nutrition Department, Musrata, LibyaAuthor -
Dr . Salw Muftah Eljamay
College of Medical Technology, Public Health Department, Derna, LibyaAuthor
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- Keywords:
- Body Mass Index (BMI), Dialysis, Zarrouk Dialysis Center, Misrata
- Abstract
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Body mass on the development and progression of comorbidities, such as cardiovascular disease, diabetes mellitus, hypertension, and malnutrition the "obesity paradox," suggests that higher body mass index (BMI) is associated with improved survival in dialysis patients with CVD. Amid to Find out the Relationship between Body Mass Index (BMI) and Comorbidities in Dialysis Patients. Material and Methods: 50 random samples of dialysis patients were selected, their ages ranging from 25 to 80 years, the number of males was 32 and females were 18. Was conducted at the Zarrouk Dialysis Center, Misrata, The body mass index (BMI) was calculated by law (kg/m2) for each patient and then they were classified into three categories according to the result. Those with a BMI less than 18.5 kg/m2 are considered underweight and a BMI between 18.5 and 24.9 kg/m2 is considered normal. Those whose BMI ranges between 25.0 kg/m2 and above suffer from overweight and obesity. Result the lowest percentage of “underweight” mass was (6%), followed by the “normal” mass percentage of (28%), then the highest percentage of overweight and obese was (66%), which indicates the prevalence of Widespread malnutrition among patients, while another study found the percentage of individuals with a body mass index (20 kg/m2, or kg) less than this value (19.4%), and the body mass index (75.0%) of patients and the analysis was in the normal range, The rest were obese. Conclusion: These findings highlight the need for targeted interventions and management strategies to address these health issues within the population under investigation. Further research with a larger and more diverse sample is needed to confirm these findings and inform public health interventions aimed at addressing the obesity epidemic and its associated health risks.
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- Published
- 2024-04-01
- Issue
- Vol. 2 No. 1 (2024)
- Section
- Original Articles
- License
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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