Literature DB >> 19410320

Lower waist-circumference cutoff point for the assessment of cardiometabolic risk in Koreans.

Hong-Kyu Kim1, Chul-Hee Kim, Joong-Yeol Park, Ki-Up Lee.   

Abstract

AIMS: To determine the appropriate cutoff value of waist circumference associated with cardiometabolic risk factors in Koreans.
METHODS: Clinical and laboratory data on 31,076 Korean adults (age 20-89 years, 40% women) were recorded at regular health check-ups. Receiver operating characteristic curves were used to determine the cutoff values of waist circumference with respect to myocardial ischemia, hypertension, diabetes, and multiple risk factors for metabolic syndrome.
RESULTS: Age-adjusted odds ratios for myocardial ischemia, diabetes, hypertension, and multiple components of metabolic syndrome for one standard-deviation increase in waist circumference were 1.45, 1.37, 1.55, and 1.89 for men, and 1.28, 2.03, 1.64, and 2.08 for women, respectively. The cutoff value showing the maximum sensitivity plus specificity for detecting myocardial ischemia was 87 cm for men and 74 cm for women. The cutoff values for discrimination of hypertension, diabetes, and multiple risk factors for metabolic syndrome, were 84, 85, and 83 cm, respectively, for men, and 77, 77, and 76 cm, respectively, for women.
CONCLUSIONS: The waist-circumference cutoff values for cardiometabolic disease and its risk factors are lower than those recommended for Asians by the WHO. Waist-circumference cutoff for defining metabolic syndrome should be lowered in the Korean population.

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Year:  2009        PMID: 19410320     DOI: 10.1016/j.diabres.2009.04.009

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  7 in total

1.  Cut-off points of waist circumference and body mass index for detecting diabetes, hypercholesterolemia and hypertension according to National Non-Communicable Disease Risk Factors Surveillance in Iran.

Authors:  Abbaszadeh-Ahranjani Shabnam; Kashani Homa; Mohajeri-Tehrani Mohammad Reza; Larijani Bagher; Forouzanfar Mohammad Hossein; Afshani Hamidreza
Journal:  Arch Med Sci       Date:  2012-09-08       Impact factor: 3.318

2.  Optimal Waist Circumference Cutoff Value Based on Insulin Resistance and Visceral Obesity in Koreans with Type 2 Diabetes.

Authors:  Jung Soo Lim; Young Ju Choi; Soo-Kyung Kim; Byoung Wook Huh; Eun Jig Lee; Kap Bum Huh
Journal:  Diabetes Metab J       Date:  2015-04-24       Impact factor: 5.376

3.  The association of fasting blood glucose (FBG) and waist circumference in northern adults in Iran: a population based study.

Authors:  Gholamreza Veghari; Mehdi Sedaghat; Hamidreza Joshaghani; Samieh Banihashem; Pooneh Moharloei; Abdolhamid Angizeh; Ebrahim Tazik; Abbas Moghaddami; Karimollah Hajian-Tilaki; Yedolla Zahedpasha
Journal:  J Diabetes Metab Disord       Date:  2014-01-06

4.  Optimal cut-off point of waist circumference for the diagnosis of metabolic syndrome in Japanese subjects.

Authors:  Daisuke Ogawa; Kenji Kahara; Terunobu Shigematsu; Soichiro Fujii; Nobuhiko Hayakawa; Morihiro Okazaki; Hirofumi Makino
Journal:  J Diabetes Investig       Date:  2010-06-01       Impact factor: 4.232

5.  The Prevalence of Metabolic Syndrome Using Three Different Diagnostic Criteria among Low Earning Nomadic Kazakhs in the Far Northwest of China: New Cut-Off Points of Waist Circumference to Diagnose MetS and Its Implications.

Authors:  Heng Guo; Jiaming Liu; Jingyu Zhang; Rulin Ma; Yusong Ding; Mei Zhang; Jia He; Shangzhi Xu; Shugang Li; Yizhong Yan; Lati Mu; Dongsheng Rui; Qiang Niu; Shuxia Guo
Journal:  PLoS One       Date:  2016-02-22       Impact factor: 3.240

6.  The Optimal Ethnic-Specific Waist-Circumference Cut-Off Points of Metabolic Syndrome among Low-Income Rural Uyghur Adults in Far Western China and Implications in Preventive Public Health.

Authors:  Jia He; Rulin Ma; Jiaming Liu; Mei Zhang; Yusong Ding; Heng Guo; Lati Mu; Jingyu Zhang; Bin Wei; Yizhong Yan; Jiaolong Ma; Hongrui Pang; Shugang Li; Shuxia Guo
Journal:  Int J Environ Res Public Health       Date:  2017-02-08       Impact factor: 3.390

7.  Prospective study of optimal obesity index cutoffs for predicting development of multiple metabolic risk factors: the Korean genome and epidemiology study.

Authors:  Kwang-Pil Ko; Dae-Kyu Oh; Haesook Min; Cheong-Sik Kim; Jae-Kyung Park; Yeonjung Kim; Sung Soo Kim
Journal:  J Epidemiol       Date:  2012-08-25       Impact factor: 3.211

  7 in total

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