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Prospective Study of Optimal Obesity Index Cutoffs for Predicting Development of Multiple Metabolic Risk Factors: The Korean Genome and Epidemiology Study

BACKGROUND: In this prospective cohort study, we estimated the risk of developing more than 1 metabolic risk factor, using different obesity indices. In addition, we investigated the relative usefulness of the obesity indices for predicting development of such risk factors and calculated optimal cut...

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Autores principales: Ko, Kwang-Pil, Oh, Dae-Kyu, Min, Haesook, Kim, Cheong-Sik, Park, Jae-Kyung, Kim, Yeonjung, Kim, Sung Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japan Epidemiological Association 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3798638/
https://www.ncbi.nlm.nih.gov/pubmed/22955044
http://dx.doi.org/10.2188/jea.JE20110164
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author Ko, Kwang-Pil
Oh, Dae-Kyu
Min, Haesook
Kim, Cheong-Sik
Park, Jae-Kyung
Kim, Yeonjung
Kim, Sung Soo
author_facet Ko, Kwang-Pil
Oh, Dae-Kyu
Min, Haesook
Kim, Cheong-Sik
Park, Jae-Kyung
Kim, Yeonjung
Kim, Sung Soo
author_sort Ko, Kwang-Pil
collection PubMed
description BACKGROUND: In this prospective cohort study, we estimated the risk of developing more than 1 metabolic risk factor, using different obesity indices. In addition, we investigated the relative usefulness of the obesity indices for predicting development of such risk factors and calculated optimal cutoffs for the obesity indices. METHODS: The cohort comprised 10 038 representative residents of a small city and a rural county who were recruited in 2001–2002. Follow-up examinations were conducted every 2 years. Among the 3857 participants without metabolic syndrome at baseline, 1102 new cases occurred during the 6-year follow-up. Receiver operating characteristic (ROC) curves for the obesity indices were plotted to compare the usefulness of the obesity indices. RESULTS: The numbers of new cases of multiple metabolic risk factors among people in the highest quintiles of body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), and waist-height ratio at the baseline examination were 2 to 3 times those in the lowest quintiles. The area under the ROC curve for WHR was significantly higher than that for BMI. The optimal BMI cutoff was 24 kg/m(2) in men and women, and the optimal WC cutoffs were 80 cm and 78 cm in men and women, respectively. CONCLUSIONS: Both overall obesity and central obesity predicted risk of developing multiple metabolic risk factors, and WHR appeared to be a better discriminator than BMI. To prevent development of metabolic diseases among Koreans, it might be useful to lower the cutoff for abdominal obesity, as defined by WC.
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spelling pubmed-37986382013-12-03 Prospective Study of Optimal Obesity Index Cutoffs for Predicting Development of Multiple Metabolic Risk Factors: The Korean Genome and Epidemiology Study Ko, Kwang-Pil Oh, Dae-Kyu Min, Haesook Kim, Cheong-Sik Park, Jae-Kyung Kim, Yeonjung Kim, Sung Soo J Epidemiol Original Article BACKGROUND: In this prospective cohort study, we estimated the risk of developing more than 1 metabolic risk factor, using different obesity indices. In addition, we investigated the relative usefulness of the obesity indices for predicting development of such risk factors and calculated optimal cutoffs for the obesity indices. METHODS: The cohort comprised 10 038 representative residents of a small city and a rural county who were recruited in 2001–2002. Follow-up examinations were conducted every 2 years. Among the 3857 participants without metabolic syndrome at baseline, 1102 new cases occurred during the 6-year follow-up. Receiver operating characteristic (ROC) curves for the obesity indices were plotted to compare the usefulness of the obesity indices. RESULTS: The numbers of new cases of multiple metabolic risk factors among people in the highest quintiles of body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), and waist-height ratio at the baseline examination were 2 to 3 times those in the lowest quintiles. The area under the ROC curve for WHR was significantly higher than that for BMI. The optimal BMI cutoff was 24 kg/m(2) in men and women, and the optimal WC cutoffs were 80 cm and 78 cm in men and women, respectively. CONCLUSIONS: Both overall obesity and central obesity predicted risk of developing multiple metabolic risk factors, and WHR appeared to be a better discriminator than BMI. To prevent development of metabolic diseases among Koreans, it might be useful to lower the cutoff for abdominal obesity, as defined by WC. Japan Epidemiological Association 2012-09-05 /pmc/articles/PMC3798638/ /pubmed/22955044 http://dx.doi.org/10.2188/jea.JE20110164 Text en © 2012 Japan Epidemiological Association. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Ko, Kwang-Pil
Oh, Dae-Kyu
Min, Haesook
Kim, Cheong-Sik
Park, Jae-Kyung
Kim, Yeonjung
Kim, Sung Soo
Prospective Study of Optimal Obesity Index Cutoffs for Predicting Development of Multiple Metabolic Risk Factors: The Korean Genome and Epidemiology Study
title Prospective Study of Optimal Obesity Index Cutoffs for Predicting Development of Multiple Metabolic Risk Factors: The Korean Genome and Epidemiology Study
title_full Prospective Study of Optimal Obesity Index Cutoffs for Predicting Development of Multiple Metabolic Risk Factors: The Korean Genome and Epidemiology Study
title_fullStr Prospective Study of Optimal Obesity Index Cutoffs for Predicting Development of Multiple Metabolic Risk Factors: The Korean Genome and Epidemiology Study
title_full_unstemmed Prospective Study of Optimal Obesity Index Cutoffs for Predicting Development of Multiple Metabolic Risk Factors: The Korean Genome and Epidemiology Study
title_short Prospective Study of Optimal Obesity Index Cutoffs for Predicting Development of Multiple Metabolic Risk Factors: The Korean Genome and Epidemiology Study
title_sort prospective study of optimal obesity index cutoffs for predicting development of multiple metabolic risk factors: the korean genome and epidemiology study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3798638/
https://www.ncbi.nlm.nih.gov/pubmed/22955044
http://dx.doi.org/10.2188/jea.JE20110164
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