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Original Article
[English]
A Comparison between Asia-Pacific Region Criteria and Entropy Model Criteria about Body Mass Index of Elderly Females Using Morbidity of Chronic Disease
Gu Beom Jeong, Jin Yong Park, Se Young Kwon, Kyung Ok Park, Pil Sook Park, Mi Yeon Park
Korean J Community Nutr 2014;19(5):490-498.   Published online October 31, 2014
DOI: https://doi.org/10.5720/kjcn.2014.19.5.490
AbstractAbstract PDFPubReader
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).

Citations

Citations to this article as recorded by  
  • Factors related to cancer screening behaviors
    Boyoung Choi, Tae Rim Um, Kwang-Soo Lee
    Epidemiology and Health.2018; 40: e2018011.     CrossRef
  • Nutrition States and Related Factors of Female Elderly according to Residence
    Mi-Yeon Park
    Journal of the East Asian Society of Dietary Life.2015; 25(1): 39.     CrossRef
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