Assessment of Nutrient Intake for Middle Aged with and without Metabolic Syndrome Using 2005 and 2007 Korean National Health and Nutrition Survey

The prevalence rate of metabolic syndrome has increased rapidly among the middle-aged and seems to be affected by socioeconomic factors, lifestyles and dietary habits. This research tries to find out the difference in dietary intake between middle-aged with and without metabolic syndrome. Using Korean National Health and Nutrition Survey (KNHANES) in 2005 and 2007, this study investigated 2,382 people (normal: 1,575, disease: 807) in 2005 and 1152 people (normal: 747, disease: 405) in 2007 (between the age of 40 and 64). Analysis was performed to discover the difference in nutrient intakes between people with and without metabolic syndrome. Also differences among people with various socioeconomic factors (such as age, education level, and income level), which can affect nutrient intake, were analyzed. In the nutrient intake people with metabolic syndrome has lower intake in most of nutrients than those of normal group, except carbohydrate. In 2007, normal group had higher intake in most nutrients, except for carbohydrate, sodium, potassium and vitamin A. Carbohydrate: protein: fat (C: P: F) ratio for syndrome group showed higher rate for carbohydrate, than normal group, in 2005, and 2007. Overall, the higher age and income level, the more carbohydrate intake rate is increase in syndrome group. The Quality of each nutrient intake was assessed using NAR (Nutrient adequacy ratio) and MAR (Mean adequacy ratio). According to the MAR, there was significant difference in 2005, 0.83 for normal group and 0.81 for syndrome group but there wasn't any in 2007 (0.81 for normal group, 0.82 for syndrome group). By NAR, in 2005, all nutrient except phosphorus, iron, vitamin A for Normal group higher then those of syndrome group (p < 0.05). In 2007 intake of syndrome group were higher then those normal group in most of nutrient by NAR. For age, education and income, MAR for normal group is higher then that of metabolic syndrome. In conclusion, Quality of nutrient intake in normal group is better then in metabolic syndrome group. Therefore, it is necessary to monitor dietary of intake people with metabolic syndrome, and necessary measures should be taken.

Reliability of Nutritional Screening Using DETERMINE Checklist for Elderly in Korean Rural Areas by Season / 대한지역사회영양학회지

It is very important to screen the elderly for nutritional risk, because nutritional status is a critical factor to maintain their health. Some nutrition checklists used in Korea for the elderly are from other countries. Reliability of those checklist in Korea is not studied enough. This survey was done for the elderly over 65-years-old who live in Hongcheon, An-dong, Dam-yang and Yeon-gi in Korea (subject; summer: 146, winter: 145) to study the reliability of DETERMINE checklist which is adopted widely in Korea. Using the score of DETERMINE checklist, the elderly were divided as high, middle and low risk groups. For nutritional assessment for those elderly, dietary assessment using 24 recall, anthropometry, biochemical assessment and health condition were used. Results for the checklist showed that percentage below EAR for energy intake and protein intake in winter were higher in the high risk group than other groups. The intakes of phosphorus and iron and most vitamins were below the DRI. The percentage of subjects with intake below DRI was highest in the high risk group. Sensitivity, specificity, and positive predictive values using the DETERMINE were calculated using 6 point as a cut-off point. Subjects were divided into two groups by MAR (MAR< 0.75:undernutrition, MAR< 0.75 : normal). Sensitivity recorded 49.4% and 34.3%, specificity did 61.9% and 65.4 and Positive predictive value did 62.1% and 46.0% each for summer and winter. Results of screening using DETERMINE Checklist were not matched with dietary assessment but not with anthropometric and biochemical measurement. In conclusion DETERMINE 'Checklist' is shown be a good screening tool for finding out risk groups for dietary intake in the elderly, It needs to verify reliability and validity through large-scale survey.