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1.
Korean Journal of Community Nutrition ; : 490-498, 2014.
Article in Korean | WPRIM | ID: wpr-49146

ABSTRACT

OBJECTIVES: This study was conducted to propose the need of re-establishing the criteria of the body weight classification in the elderly. We compared the Asia-Pacific Region Criteria (APR-C) with Entropy Model Criteria (ENT-C) using Morbidity rate of chronic diseases which correlates significantly with Body Mass Index (BMI). METHODS: Subjects were 886 elderly female participating in the 2007-2009 Korea National Health and Nutrition Examination Survey (KNHANES). We compared APR-C with those of ENT-C using Receiver Operating Characteristics (ROC) curve and logistic regression analysis. RESULTS: In the case of the morbidity of hypertension, the results were as follows: Where it was in the T-off point of APR-C, sensitivity was 67.5%, specificity was 43.1%, and Youden's index was 10.6. While in the cut-off point of ENT-C, it was 56.7%, 56.6%, and 13.3 respectively. In the case of the morbidity of diabetes, the results were as follows: In the cut-off point of APR-C, Youden's index was 14.2. While in the cut-off point of ENT-C, it was 17.2 respectively. The Area Under the ROC Curve (AUC) of the subjects who had more than 2 diseases among hypertension, diabetes, and dyslipidemia was 0.615 (95% CI: 0.578-0.652). Compared to the normal group, the odds ratio of the hypertension group which will belong to the overweight or obesity was 1.79 (95% CI: 1.30-2.47) in the APR-C, and 2.04 (95% CI: 1.49-2.80) in the ENT-C (p > 0.001). CONCLUSIONS: We conclude that the optimal cut-off point of BMI to distinguish between normal weight and overweight was 24 kg/m2 (ENT-C) rather than 23 kg/m2 (APR-C).


Subject(s)
Aged , Female , Humans , Body Mass Index , Body Weight , Chronic Disease , Classification , Dyslipidemias , Entropy , Hypertension , Korea , Logistic Models , Nutrition Surveys , Obesity , Odds Ratio , Overweight , ROC Curve , Sensitivity and Specificity
2.
Korean Journal of Community Nutrition ; : 34-45, 2008.
Article in Korean | WPRIM | ID: wpr-72256

ABSTRACT

For the correct dietary habit and balanced dietary intake of aged people, the nutrition management that fits to the dietary behavior change stage has to be accomplished. In order to do so, in this paper, we chose 175 women that are aged more than 65 years old who are rural long life community residents and surveyed the dietary intake for 2 days including a twice depth interview and the 24 hour recall method. Also, for the sake of our aim, using the transtheoretical model, the dietary behavior change stage group was divided into the contemplation stage group, the preparation stage group, the action stage group and the maintenance stage group. The results are as follows: In the intake amount of protein (p < 0.01), vitamin B1 (p < 0.05) and vitamin B6 (p < 0.05), the intake amount of these nutrients in the action stage group and the maintenance stage group were significantly larger than the intake amount in the contemplation stage group and the preparation stage group. The nutrition evaluation according to the dietary behavior change stage, the ratio of subjects who took insufficient amount of energy, protein, vitamin A, and vitamin C were low as the dietary behavior change stage was upgraded. The subjects of maintenance stage group were most likely to consume vegetables more than once a day, and consume fruits and milk and milk products more than 5 times/week. MAR [13], MAR [10] and MAR [4] of subjects in the action stage group and the maintenance stage roup were significantly higher than MAR [13], MAR [10] and MAR [4] of subjects in the contemplation stage group and the preparation stage group (p < 0.001). From the above results, there were differences of nutrient intakes according to the dietary behavior change stage. Therefore, it is considered that the intervention for the dietary behavior motivation induction has to be advanced before accomplishing the individually fitting intervention at the time of nutrient management intervention.


Subject(s)
Aged , Female , Humans , Ascorbic Acid , Feeding Behavior , Fruit , Milk , Motivation , Thiamine , Vegetables , Vitamin A , Vitamin B 6
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