title: Does waist indicate dyslipidemia better than BMI in Korean adult population?
abstract: Obesity is an independent and modifiable risk factor for cardiovascular disease, and known as a core of the metabolic syndrome. Obesity has been largely diagnosed based upon anthrompometric measurements like waist circumference (WC) and body mass index (BMI). We sought to determine associations between anthropometric measurements and dyslipidemia in a community adult sample composed of 1,032 community residents (356 men, 676 women) aged 50 yr and over in Namwon, Korea. Blood tests for lipid profiles, including total cholesterol (TC) and HDL cholesterol (HDL) were performed, and dyslipidemia was defined as TC/HDL greater than 4. Anthropometric measurements included WC, waist-to-height ratio (WHtR), waist-to-hip ratio, and BMI. All anthropometric measures were categorized into quartiles and evaluated for associations with dyslipidemia. TC/HDL showed the significant associations with the anthropometric measures, independently of potential confounders. In women, increases of obesity indexes by quartile analyses showed linear increases of odds ratios for dyslipidemia (p values <0.01 by trend test). In men, except BMI, same patterns of association were noted. WC and WHtR were significantly associated with dyslipidemia in Korean adult population. As a simple and non-invasive method for a detection of obesity and dyslipidemia, anthropometric measurements could be efficiently used in clinical and epidemiologic fields.
authors.affiliation: Department of Neurology, Chonbuk National Unversity School of Medicine, Jeonju, Korea.
authors.forename: Seul-Ki
authors.initials: SK
authors.lastname: Jeong
authors.forename: Man-Wook
authors.initials: MW
authors.lastname: Seo
authors.forename: Young-Hyun
authors.initials: YH
authors.lastname: Kim
authors.forename: Sun-Seog
authors.initials: SS
authors.lastname: Kweon
authors.forename: Hae-Sung
authors.initials: HS
authors.lastname: Nam
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D001823:Body Composition; D015992:Body Mass Index; D049628:Body Size; D002318:Cardiovascular Diseases / Q000473:pathology; D002784:Cholesterol / Q000378:metabolism; D008076:Cholesterol, HDL / Q000378:metabolism; D005260:Female; D006801:Humans; D006949:Hyperlipidemias / Q000473:pathology*; D007723:Korea; D050356:Lipid Metabolism; D008297:Male; D008875:Middle Aged; D009765:Obesity; D016017:Odds Ratio; D012307:Risk Factors; D049629:Waist-Hip Ratio
chemical_list: D008076:Cholesterol, HDL; D002784:Cholesterol
references.citation: Am J Clin Nutr. 2002 Nov;76(5):975-9
references.pmid: 12399268
references.citation: Dement Geriatr Cogn Disord. 2005;19(2-3):91-6
references.pmid: 15591798
references.citation: Obes Res. 2003 Feb;11(2):202-8
references.pmid: 12582215
references.citation: Paediatr Perinat Epidemiol. 2003 Apr;17(2):148-55
references.pmid: 12675781
references.citation: Int J Obes Relat Metab Disord. 2003 May;27(5):610-6
references.pmid: 12704405
references.citation: Diabetes Care. 2003 May;26(5):1380-4
references.pmid: 12716792
references.citation: JAMA. 2003 May 21;289(19):2560-72
references.pmid: 12748199
references.citation: Nutrition. 2003 Jun;19(6):503-9
references.pmid: 12781849
references.citation: Am J Clin Nutr. 2003 Jun;77(6):1498-505
references.pmid: 12791630
references.citation: Am J Prev Med. 2003 Jul;25(1):50-7
references.pmid: 12818310
references.citation: Diabetes Nutr Metab. 2003 Feb;16(1):32-40
references.pmid: 12848303
references.citation: Lancet. 2000 Jan 15;355(9199):159
references.pmid: 10675109
references.citation: J Clin Epidemiol. 2000 Apr;53(4):393-400
references.pmid: 10785570
references.citation: J Clin Epidemiol. 2000 Apr;53(4):401-8
references.pmid: 10785571
references.citation: Acta Cardiol. 2001 Apr;56(2):75-81
references.pmid: 11357928
references.citation: JAMA. 2001 May 16;285(19):2486-97
references.pmid: 11368702
references.citation: Int J Epidemiol. 2002 Apr;31(2):390-4
references.pmid: 11980801
references.citation: Uisahak. 1999;8(2):137-45
references.pmid: 12212608
references.citation: J Nutr. 2003 Aug;133(8):2655-62
references.pmid: 12888654
references.citation: Int J Food Sci Nutr. 2003 Nov;54(6):467-71
references.pmid: 14522692
references.citation: Eur J Epidemiol. 2003;18(9):883-90
references.pmid: 14561048
references.citation: Prim Care. 2003 Jun;30(2):317-25
references.pmid: 14567150
references.citation: Exp Biol Med (Maywood). 2003 Nov;228(10):1175-80
references.pmid: 14610257
references.citation: Int J Obes Relat Metab Disord. 2004 Aug;28(8):1033-8
references.pmid: 15197411
references.citation: Br J Nutr. 1974 Jul;32(1):77-97
references.pmid: 4843734
references.citation: Diabetes Res Clin Pract. 1996 Oct;34 Suppl:S65-72
references.pmid: 9015672
references.citation: J Clin Epidemiol. 1997 Apr;50(4):425-34
references.pmid: 9179101
references.citation: Diabetes Care. 1997 Jul;20(7):1183-97
references.pmid: 9203460
references.citation: Ann Epidemiol. 1998 Jan;8(1):14-21
references.pmid: 9465989
references.citation: Paediatr Perinat Epidemiol. 1998 Jul;12 Suppl 1:96-113
references.pmid: 9690276
references.citation: J Cardiovasc Risk. 1998 Oct-Dec;5(5-6):313-8
references.pmid: 9920002
references.citation: J Clin Epidemiol. 2002 Oct;55(10):990-6
references.pmid: 12464375