Evaluation Of Mini Nutritional Assessment Tool Among Elderly Population In Yeka Sub City Addis Ababa Ethiopia

Background: Malnutrition is the most important determinant factor for elders on their generalrnhealth and quality of life. Eventhogh the life expectancy of Ethiopian elders is increasing; therernwas no valid tool to assess the nutritional status of elders. Body Mass Index (BMI) may bernunreliable to assess the nutritional status of elders if used as single measurement. Mini nutritionalrnassessment (MNA) tool is the most widely used and noninvasive tool to assess the nutritionalrnstatus of elders. MNA tool was not validated and practiced for intervention in Ethiopian elderlyrnpopulation.rnObjective: To evaluate the reliability and validity of mini nutritional assessment tool amongrnelders in Yeka sub city, Addis Ababa, Ethiopia.rnMethod: Community based cross sectional study was conducted among 506 elders. Two stagerncluster sampling method and systematic random sampling technique was employed to addressrnstudy subjects. The reliability and validity of the MNA tool and MNA-SF were evaluated againstrnBMI. A modified short Mini Nutritional Assessment (MS-MNA) tool was derived by a principalrncomponent analysis. The items to create MS-MNA were derived from the full MNA tool andrnappetite assessment tool. Accuracy, sensitivity, specificity and cut off point were evaluated torndetermine validity of full MNA and MS-MNA. The reliability also assessed using Cronbaches αrncoefficient. Criterion-related validity of the MNA tool was evaluated computing the correlationrnbetween total MNA score and single anthropometric measurements. Youden index used torndetermine best cut of points for MNA and MS-MNA tool.rnResult: The mean MNA score was 19.9± 4.5. Cronbaches α value of full MNA tool was foundrn0.7.The overall accuracy of full MNA was 91% (95 % CI, 87.5%--94.9%, p< 0.001). Thernsensitivity and specificity of full MNA tool using established cut of point was 87.9% and 89.6%rnrespectively. Using Youden index the best cut of point to detect malnourished and risk ofrnmalnutrition was found 16 with sensitivity 90.4% and specificity 86.8%. Cronbaches α value ofrnMS-MNA tool was found 0.71. The overall accuracy of MS-MNA was found 87 %( 95%CI,rn0.837-0.910, p

Get Full Work

Report copyright infringement or plagiarism