The aim of this study was to combine as a new index age with an anthropometric indicator of obesity that is more closely associated with metabolic syndrome (MS) risk than other anthropometric indicators for postmenopausal Taiwanese women. In this cross-sectional study, data were collected from 1128 postmenopausal women volunteers during the period from September 2008 to December 2009. Receiver operating characteristic (ROC) curves for assessing the risk of MS for postmenopausal Taiwanese women were computed for the optimal scaling combination (OSC) and anthropometric indicator of obesity. The area under the ROC curves of the OSC was significantly larger than those of the anthropometric indicator. OSC ≥ 4.98 was found to be the most prevalent cutoff point. The present investigation suggests that the OSC could be used in clinical practice as a simple parameter for the identification of postmenopausal Taiwanese women at risk of MS.
CarrDBUtzschneideretKMHullRL. Intra-abdominal fat is a major determinant of the National Cholesterol Education Program Adult Treatment Panel III criteria for the metabolic syndrome. Diabetes. 2004;53:2087-2094.
ParkYWZhuSPalaniappanLHeshkaSCarnethonMRHeymsfieldSB. The metabolic syndrome: prevalence and associated risk factor findings in the US population from the Third National Health and Nutrition Examination Survey, 1988-1994. Arch Intern Med. 2003;163:427-436.
4.
TanCEMaSWaiDChewSKTaiES. Can we apply the National Cholesterol Education Program Adult Treatment Panel definition of the metabolic syndrome to Asians?Diabetes Care. 2004;27:1182-1186.
5.
GuDReynoldsKWuX. Prevalence of the metabolic syndrome and overweight among adults in China. Lancet. 2005;365:1398-1405.
6.
TurcatoEZamboniMDe PergolaG. Interrelationships between weight loss, body fat distribution and sex hormones in pre- and postmenopausal obese women. J Intern Med. 1997;241:363-372.
7.
TothMJTchernofASitesCKPoehlmanET. Effect of menopausal status on body composition and abdominal fat distribution. Int J Obes Relat Metab Disord. 2000;24:226-231.
8.
ChangCJWuCHYaoWJYangYCWuJSLuFH. Relationships of age, menopause and central obesity on cardiovascular disease risk factors in Chinese women. Int J Obes Relat Metab Disord. 2000;24:1699-1704.
9.
LambrinoudakiIChristodoulakosGPanoulisC. Determinants of serum leptin levels in healthy postmenopausal women. J Endocrinol Invest. 2003;26:1225-1230.
10.
ChuMCCosperPOrioFCarminaELoboRA. Insulin resistance in postmenopausal women with metabolic syndrome and the measurements of adiponectin, leptin, resistin, and ghrelin. Am J Obstet Gynecol. 2006;194:100-104.
11.
MeschVRBoeroLESiselesNO. Metabolic syndrome throughout the menopausal transition: influence of age and menopausal status. Climacteric. 2006;9:40-48.
12.
MisraAWasirJSPandeyRM. An evaluation of candidate definitions of the metabolic syndrome in adult Asian Indians. Diabetes Care. 2005;28:398-403.
13.
FauciAFauciASBraunwaldE. Harrison’s Principles of Internal Medicine. 20th ed.New York, NY: McGraw-Hill; 2008.
14.
RyanMCFensterFarinHMAbbasiFReavenGM. Comparison of waist circumference versus body mass index in diagnosing metabolic syndrome and identifying apparently healthy subjects at increased risk of cardiovascular disease. Am J Cardiol. 2008;102:40-46.
15.
AdamsRJAppletonSWilsonDH. Population comparison of two clinical approaches to the metabolic syndrome: implications of the new International Diabetes Federation consensus definition. Diabetes Care. 2005;28:2777-2779.
16.
RodriguezAMullerDCMetterEJ. Aging, androgens, and the metabolic syndrome in a longitudinal study of aging. J Clin Endocrinol Metab. 2007;92:3568-3572.
17.
RodriguezAMullerDCEngelhardtMAndresR. Contribution of impaired glucose tolerance in subjects with the metabolic syndrome: Baltimore Longitudinal Study of Aging. Metabolism. 2005;54:542-547.
18.
HwangLCBaiCHChenCJ. Prevalence of obesity and metabolic syndrome in Taiwan. J Formos Med Assoc. 2006;105:626-635.
19.
ChangPCLiTCWuMT. Association between television viewing and the risk of metabolic syndrome in a community-based population. BMC Public Health. 2008;8:193-201.
20.
ChuangSYChenCHChouP. Prevalence of metabolic syndrome in a large health check-up population in Taiwan. J Chin Med Assoc. 2004;67:611-620.
21.
National Cholesterol Education Program (NCEP) Expert Panel. Third report of the National Cholesterol Education Program (NCEP) expert panel on the detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) final report. Circulation. 2002;106:3143-3421.
22.
BalkauBCharlesMADrivsholmT. Frequency of the WHO metabolic syndrome in European cohorts, and an alternative definition of an insulin resistance syndrome. Diabetes Metab. 2002;28:364-376.
23.
CameronAJShawJEZimmetPZ. The metabolic syndrome: prevalence in worldwide populations. Endocrinol Metab Clin North Am. 2004;33:351-375.
24.
SeboPBeer-BorstSHallerDMBovierPA. Reliability of doctors’ anthropometric measurements to detect obesity. Prev Med. 2008;47:389-393.
25.
FolsomARLiYRaoX. Body mass, fat distribution and cardiovascular risk factors in a lean population of south China. J Clin Epidemiol. 1994;47:173-181.
26.
SakuraiYKonoSShinchiK. Relation of waist-hip ratio to glucose tolerance, blood pressure, and serum lipids in middle-aged Japanese males. Int J Obes Relat Metab Disord. 1995;19:632-637.
27.
The Bureau of Health Promotion (BHP), Department of Health, Executive Yuan, R.O.C. (Taiwan). The criteria for metabolic syndrome. http://www.bhp.doh.gov.tw/BHPnet/Portal/Default.aspx. Accessed February 22, 2012.
28.
ChangCHYenCHChenMY. Using principal component analysis to develop a single-parameter screening tool for metabolic syndrome. BMC Public Health. 2010;10:708-715.
29.
HanleyJAMcNeilBJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143:29-36.
30.
JohnsonBDMerzCNBraunsteinGD. Determination of menopausal status in women: the NHLBI-sponsored Women’s Ischemia Syndrome Evaluation (WISE) Study. J Womens Health (Larchmt). 2004;13:872-887.
31.
EknoyanG. Adolphe Quetelet (1796-1874): the average man and indices of obesity. Nephrol Dial Transplant. 2008;23:47-51.
32.
DeLongERDeLongDMClarke-PearsonDL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837-845.
33.
BrianGRamkeJMaherL. Body mass index among Melanesian and Indian Fijians aged ≥40 years living in Fiji. Asia Pac J Public Health. 2011;23:34-43.
34.
HoHHTsaiTYLinCL. Prevalence and associated factors for metabolic syndrome in Taiwanese hospital employees. Asia Pac J Public Health. 2011;23:307-314.
