ABSTRACT
Introduction@#Sarcopenia is a prevalent condition characterized by decrease in muscle strength and loss of body function which result from the decrease of muscle mass in older age. In 2014, the Asian Working Group for Sarcopenia developed the diagnosis criterion for sarcopenia. The measurements were changed to accommodate for the physical characteristics of asians. The loss of muscle mass increases after age 40 and decreases by 8 percent every 10 years. After age 70 this number is increased to 15 percent every 10 years. @*Goal@#Assess the prevalence of sarcopenia among men by comparing body height and mass@*Materials and Methods@#The study included 196 older men aged 40 and above chosen by random sampling from the geriatric and rehabilitation cabinets of the Mongolian National Gerontology Center. </br> Sarcopenia diagnosis was made based on the criteria from the Asian Working Group for Sarcopenia using methods by Janssen I and others to compare body mass and height.@*Results@#Comparing body muscle mass and height 11.7 percent of participant aged 40-86 had sarcopenia. When comparing body muscle mass and weigth 33.2 percent had sarcopenia.@*Conclusion@#Determining sarcopenia among Mongolian men by comparing muscle mass and body mass resulted in 33.2 percent sarcopenia. When compared with height, 11.7 percent had sarcopenia.
ABSTRACT
Introduction: With advancing age, the risk of developing nutritional deficiencies increases. Malnutrition can lead to functional dependency, increases morbidity, mortality, and greater use of health care resources. Goal: The goal of our study was to assess the nutritional risk among recently hospitalized elderly in Secondary healthcare systems by the NSI screening tool and assess indicators of anthropometry assessment in nutritionally different groups. Materials and Methods: To the study were enrolled 411 hospitalized elderly patients in secondary healthcare systems. The study protocol was approved by the Ethics Committee of the HSUM, and written informed consent was obtained from all study participants. The nutritional status was classified by the NSI (Nutrition Screening Initiative) into: high risk of malnutrition, moderate risk of malnutrition and without malnutrition (adequate). Results: Among the assessed elderly, 8.03% had adequate nutritional status; 32.85% were at a risk of malnutrition and 59.12% were at a moderate risk of malnutrition. Some anthropometric variables such as weight, abdominal circumference, calf and mid-arm circumference assessed were significantly more deteriorated among the malnourished individuals. Among the NSI variables tooth loss/ mouth pain (21.6%), eating few fruits or vegetables or milk products (14.3%), chronic illness (13.8%), multiple medicines (13.4%) or economic hardship (11.3%) were found as the risk of malnourished elderly. Conclusion: There is an interrelationship between the nutritional status of the elderly and some anthropometric variables.
ABSTRACT
Introduction: While the prevalence of malnutrition in the free living elderly population is relatively low, the risk of malnutrition increases dramatically in the hospitalized elderly. Patients who are malnourished when admitted to the hospital tend to have longer hospital stays, experience more complications, and have greater risk of morbidity and mortality than those whose nutritional state is normal. Goal: To assess the nutritional status among hospitalized elderly in Secondary healthcare systems by the MNA screening tool. Materials and Methods: To the study were enrolled 411 hospitalized elderly patients in secondary healthcare systems. The study protocol was approved by the Ethics Committee of the HSUM, and written informed consent was obtained from all study participants. We assessed the participants’ nutritional status by the MNA (Mini nutritional assessment) tool and divided into three groups: malnourished, risk of malnutrition and normal nutritional status. We compared the relationship between nutritional status and some biochemical indicates such as total protein, albumin, cholesterol and blood glucose levels. The ANOVA and Pearson correlation tests were used for statistical analysis. Results: 146 (36.01%) elders were well nourished among our study participants. Serum albumin was significantly low in malnourished elders. Conclusion: Among the assessed elderly 36.01% had adequate nutritional status; 43.79% were at a risk of malnutrition and 20.19% were malnourished. Serum albumin was significantly low in malnourished elders.