Evaluation of Mini Nutritional Assessment tool among Elderly population in Yeka Sub city, Addis Ababa, Ethiopia

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Date

2017-06

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Addis Abeba Universty

Abstract

Background: Malnutrition is the most important determinant factor for elders on their general health and quality of life. Eventhogh the life expectancy of Ethiopian elders is increasing; there was no valid tool to assess the nutritional status of elders. Body Mass Index (BMI) may be unreliable to assess the nutritional status of elders if used as single measurement. Mini nutritional assessment (MNA) tool is the most widely used and noninvasive tool to assess the nutritional status of elders. MNA tool was not validated and practiced for intervention in Ethiopian elderly population. Objective: To evaluate the reliability and validity of mini nutritional assessment tool among elders in Yeka sub city, Addis Ababa, Ethiopia. Method: Community based cross sectional study was conducted among 506 elders. Two stage cluster sampling method and systematic random sampling technique was employed to address study subjects. The reliability and validity of the MNA tool and MNA-SF were evaluated against BMI. A modified short Mini Nutritional Assessment (MS-MNA) tool was derived by a principal component analysis. The items to create MS-MNA were derived from the full MNA tool and appetite assessment tool. Accuracy, sensitivity, specificity and cut off point were evaluated to determine validity of full MNA and MS-MNA. The reliability also assessed using Cronbaches α coefficient. Criterion-related validity of the MNA tool was evaluated computing the correlation between total MNA score and single anthropometric measurements. Youden index used to determine best cut of points for MNA and MS-MNA tool. Result: The mean MNA score was 19.9± 4.5. Cronbaches α value of full MNA tool was found 0.7.The overall accuracy of full MNA was 91% (95 % CI, 87.5%--94.9%, p< 0.001). The sensitivity and specificity of full MNA tool using established cut of point was 87.9% and 89.6% respectively. Using Youden index the best cut of point to detect malnourished and risk of malnutrition was found 16 with sensitivity 90.4% and specificity 86.8%. Cronbaches α value of MS-MNA tool was found 0.71. The overall accuracy of MS-MNA was found 87 %( 95%CI, 0.837-0.910, p<0.001). Using Youden index the best cut of point was 14.5 with sensitivity and specificity of 80% and 80.2% respectively. Conclusion: Full MNA tool was valid and reliable to identify elders as malnourished, at risk of malnutrition and well-nourished with modulation of cut of points. The MS-MNA tool was also reliable and valid nutritional assessment tool. However, the short MNA tool was not valid and reliable in this study. Further research is recommended to validate the MS-MNA tool against biochemical markers.

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Evaluation of Mini Nutritional Assessment tool

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