Kirkendoll K, Clark PC, Grossniklaus D, Igho-Pemu P, Mullis R, Dunbar SB. Metabolic syndrome in African Americans: views on making lifestyle changes. J Transcult Nurs 2010; 21:104–113.
Article
Google Scholar
Yamaoka K, Tango T. Effects of lifestyle modification on metabolic syndrome: a systematic review and meta-analysis. BMC Med 2012; 10:138–148.
Article
CAS
Google Scholar
Walther G, Obert P, Dutheil F, Chapier R, Lesourd B, Naughton G, et al. Metabolic syndrome individuals with and without type 2 diabetes mellitus present generalized vascular dysfunction: cross-sectional study. Arterioscler Thromb Vasc Biol 2015; 35:1022–1029.
Article
CAS
Google Scholar
Anderson PJ, Critchley JA, Chan JC, Cockram CS, Lee ZS, Thomas GN, Tomlinson B. Factor analysis of the metabolic syndrome: obesity vs insulin resistance as the central abnormality. Int J Obes Relat Metab Disord 2001; 25:1782–1788.
Article
CAS
Google Scholar
Mottillo S, Filion KB, Genest J, Joseph L, Pilote L, Poirier P, et al. The metabolic syndrome and cardiovascular risk a systematic review and meta-analysis. J Am Coll Cardiol 2010; 56:1113–1132.
Article
Google Scholar
Kassi E, Pervanidou P, Kaltsas G, Chrousos G. Metabolic syndrome: definitions and controversies. BMC Med 2011; 9: 48–61.
Article
Google Scholar
Finucane MM, Stevens GA, Cowan MJ, Danaei G, Lin JK, Paciorek CJ, et al. National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9 • 1 million participants. Lancet 2011; 377:557–567.
Article
Google Scholar
Badran M, Laher I. Obesity in Arabic-speaking countries. J Obesity 2011. 24:1–9.
Article
Google Scholar
Frühbeck G. Obesity: screening for the evident in obesity. Nat Rev Endocrinol 2012; 8:570–572.
Article
Google Scholar
Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014; 384:766–781.
Article
Google Scholar
Jackson AS, Stanforth PR, Gagnon J, Rankinen T, Leon AS, Rao DC, et al. The effect of sex, age and race on estimating percentage body fat from body mass index: The Heritage Family Study. Int J Obes Relat Metab Disord 2002; 26:789–796.
Article
CAS
Google Scholar
Cornier MA, Després JP, Davis N, Grossniklaus DA, Klein S, Lamarche B, et al. Assessing adiposity: a scientific statement from the American Heart Association. Circulation 2011; 124:1996–2019.
Article
Google Scholar
InterAct C, Langenberg C, Sharp SJ, Schulze MB, Rolandsson O, Overved K, et al. Long-term risk of incident type 2 diabetes and measures of overall and regional obesity: the EPIC-InterAct case cohort study. PLoS Med 2012; 9:e1001230.
Article
Google Scholar
Browning LM, Hsieh SD, Ashwell M. A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0.5 could be a suitable global boundary value. Nutr Res Rev 2010; 23:247–269.
Article
Google Scholar
Amato MC, Giordano C, Galia M, Criscimanna A, Vitabile S, Midiri M, et al. Visceral adiposity index: a reliable indicator of visceral fat function associated with cardiometabolic risk. Diabetes Care 2010; 33:920–922.
Article
Google Scholar
Bergman RN, Stefanovski D, Buchanan TA, Sumner AE, Reynolds JC, Sebring NG, et al. A better index of body adiposity. Obesity (Silver Spring) 2011; 19:1083–1089.
Article
Google Scholar
Alberti KGM, Zimmet P, Shaw J, Group I. The metabolic syndrome – a new worldwide definition. Lancet 2005; 366:1059–1062.
Article
Google Scholar
Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 1972; 18:499–502.
Article
CAS
Google Scholar
Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and b-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985; 28:412–419.
Article
CAS
Google Scholar
Pradeep AR, Nagpal K, Karvekar S, Patnaik K. Levels of lipocalin-2 in crevicular fluid and tear fluid in chronic periodontitis and obesity subjects. J Investig Clin Dent 2015; 19:1–7.
Google Scholar
Gharipour M, Sarrafzadegan N, Sadeghi M, Andalib E, Talaie M, Shafie D. Predictors of metabolic syndrome in the Iranian population: waist circumference, body mass index, or waist to hip ratio? Cholesterol 2013; 24:2013.
Google Scholar
Beydoun MA, Kuczmarski MT, Wang Y, Mason MA, Evans MK, Zonderman AB. Receiver-operating characteristics of adiposity for metabolic syndrome: the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study. Public Health Nutr 2011; 14:77–92.
Article
Google Scholar
Tulloch-Reid MK, Williams DE, Looker HC, Hanson RL, Knowler WC. Do measures of body fat distribution provide information on the risk of type 2 diabetes in addition to measures of general obesity? Comparison of anthropometric predictors of type 2 diabetes in Pima Indians. Diabetes Care 2003; 26:2556–2561.
PubMed
Google Scholar
Warne DK, Charles MA, Hanson RL, Jacobsson LT, McCance DR, Knowler WC. Comparison of body size measurements as predictors of NIDDM in Pima Indians. Diabetes Care 1995; 18:435–439.
Article
CAS
Google Scholar
Hsieh SD, Yoshinaga H, Muto T. Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women. Int J Obes Relat Metab Disord 2003; 27:610–616
Article
CAS
Google Scholar
MacKay MF, Haffner SM, Wagenknecht LE, D’Agostino RB Jr, Hanley AJ. Prediction of type 2 diabetes using alternate anthropometric measures in a multi-ethnic cohort: the insulin resistance atherosclerosis study. Diabetes Care 2009; 32:956–958.
Article
Google Scholar
He YH, Chen YC, Jiang GX, Huang HE, Li R, Li XY. Evaluation of anthropometric indices for metabolic syndrome in Chinese adults aged 40 years and over. Eur J Nutr 2012; 51:81–87.
Article
Google Scholar
Bosy-Westphal A, Geisler C, Onur S, Korth O, Selberg O, Schrezenmeir J. Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors. Int J Obes (Lond) 2006; 30:475–483.
Article
CAS
Google Scholar
Sayeed M, Mahtab H, Latif Z, Khanam P, Ahsan K, Banu A, et al. Waist-to-height ratio is a better obesity index than body mass index and waist-to-hip ratio for predicting diabetes, hypertension and lipidemia. Bangladesh Med Res Counc Bull 2003; 29:1.
CAS
PubMed
Google Scholar
Kahn HS. Choosing an index for abdominal obesity: an opportunity for epidemiologic clarification. J Clin Epidemiol 1993; 46:491–494.
Article
CAS
Google Scholar
Bennasar-Veny M, Lopez-Gonzalez AA, Tauler P, Cespedes ML, Vicente-Herrero T, Yañez A, et al. Body adiposity index and cardiovascular health risk factors in Caucasians: a comparison with the body mass index and others. PLoS One 2013; 8:e63999.
Article
CAS
Google Scholar