Predicting Metabolic Syndrome by Visceral Adiposity Index, Body Roundness Index and a Body Shape Index in Adults: A Cross-Sectional Study from the Iranian RaNCD Cohort Data

References

• Ranasinghe P, Mathangasinghe Y, Jayawardena R, Hills A, Misra A Prevalence and trends of metabolic syndrome among adults in the asia-pacific region: a systematic review. BMC Public Health. 2017;17(1):101. doi:10.1186/s12889-017-4041-1
   PubMed Web of Science ®Google Scholar
• Alberti KG, Eckel RH, Grundy SM, et al. Harmonizing the metabolic syndrome: a joint interim statement of the international diabetes federation task force on epidemiology and prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120(16):1640–1645. doi:10.1161/CIRCULATIONAHA.109.192644
   PubMed Web of Science ®Google Scholar
• Isomaa B, Almgren P, Tuomi T, et al. Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care. 2001;24(4):683–689. doi:10.2337/diacare.24.4.683
   PubMed Web of Science ®Google Scholar
• Amirkalali B, Fakhrzadeh H, Sharifi F, et al. Prevalence of metabolic syndrome and its components in the Iranian adult population: a systematic review and meta-analysis. Iran Red Crescent Med J. 2015;17(12). doi:10.5812/ircmj
   PubMedGoogle Scholar
• Chobot A, Górowska‐Kowolik K, Sokołowska M, Jarosz‐Chobot P. Obesity and diabetes—not only a simple link between two epidemics. Diabetes/Metab Res Rev. 2018;34(7):e3042. doi:10.1002/dmrr.3042
   PubMed Web of Science ®Google Scholar
• Stefanescu A, Revilla L, Lopez T, Sanchez SE, Williams MA, Gelaye B Using a body shape index (ABSI) and Body Roundness Index (BRI) to predict risk of metabolic syndrome in Peruvian adults. J Int Med Res. 2019:1–12.
   Google Scholar
• Bouchi R, Asakawa M, Ohara N, et al. Indirect measure of visceral adiposity ‘A Body Shape Index’(ABSI) is associated with arterial stiffness in patients with type 2 diabetes. BMJ Open Diabetes Res Care. 2016;4(1):e000188. doi:10.1136/bmjdrc-2015-000188
   PubMedGoogle Scholar
• Krakauer NY, Krakauer JC A new body shape index predicts mortality hazard independently of body mass index. PLoS One. 2012;7(7):e39504. doi:10.1371/journal.pone.0039504
   PubMed Web of Science ®Google Scholar
• Wang F, Chen Y, Chang Y, Sun G, Sun Y New anthropometric indices or old ones: which perform better in estimating cardiovascular risks in Chinese adults. BMC Cardiovasc Disord. 2018;18(1):14. doi:10.1186/s12872-018-0754-z
   PubMedGoogle Scholar
• Thomas DM, Bredlau C, Bosy‐Westphal A, et al. Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model. Obesity. 2013;21(11):2264–2271. doi:10.1002/oby.20408
   PubMed Web of Science ®Google Scholar
• Tian S, Zhang X, Xu Y, Dong H Feasibility of body roundness index for identifying a clustering of cardiometabolic abnormalities compared to BMI, waist circumference and other anthropometric indices: the China Health and Nutrition Survey, 2008 to 2009. Medicine. 2016;95(34):e4642. doi:10.1097/MD.0000000000004642
   PubMedGoogle Scholar
• Amato MC, Giordano C, Galia M, et al. Visceral adiposity index: a reliable indicator of visceral fat function associated with cardiometabolic risk. Diabetes Care. 2010;33(4):920–922. doi:10.2337/dc09-1825
   PubMed Web of Science ®Google Scholar
• Carroll JF, Chiapa AL, Rodriquez M, et al. Visceral fat, waist circumference, and BMI: impact of race/ethnicity. Obesity. 2008;16(3):600–607. doi:10.1038/oby.2007.92
   PubMed Web of Science ®Google Scholar
• Li Y, Wang H, Wang K, et al. Optimal body fat percentage cut-off values for identifying cardiovascular risk factors in Mongolian and Han adults: a population-based cross-sectional study in Inner Mongolia, China. BMJ Open. 2017;7(4):e014675. doi:10.1136/bmjopen-2016-014675
   PubMedGoogle Scholar
• Pasdar Y, Hamzeh B, Najafi F, Darbandi M Optimal cutoff values of fat mass index, body fat percentage and visceral fat area for identifying metabolic syndrome in the kurdish population: results from an iranian RaNCD cohort study. Med J Nutr Metab. 2019;12(4):397–409. doi:10.3233/MNM-190324
   Google Scholar
• Darbandi M, Najafi F, Pasdar Y, Rezaeian S Structural equation model analysis for the evaluation of factors associated with overweight and obesity in menopausal women in RaNCD cohort study. Menopause. 2020;27(2):208–215. doi:10.1097/GME.0000000000001452
   PubMedGoogle Scholar
• Pasdar Y, Najafi F, Moradinazar M, et al. Cohort profile: Ravansar non-communicable disease cohort study: the first cohort study in a Kurdish population. Int J Mol Epidemiol. 2019;48(3):682–683.doi: doi:10.1093/ije/dyy296.
   PubMed Web of Science ®Google Scholar
• Poustchi H, Eghtesad S, Kamangar F, et al. Prospective epidemiological research studies in Iran (the PERSIAN Cohort Study): rationale, objectives, and design. Am J Epidemiol. 2017;187(4):647–655. doi:10.1093/aje/kwx314
   Web of Science ®Google Scholar
• Huang PL A comprehensive definition for metabolic syndrome. Dis Models Mech. 2009; 2 (5–6): 231–237. doi:10.1242/dmm.001180
   PubMed Web of Science ®Google Scholar
• Li R, Li Q, Cui M, et al. Clinical surrogate markers for predicting metabolic syndrome in middle‐aged and elderly Chinese. J Diabetes Investig. 2018;9(2):411–418. doi:10.1111/jdi.2018.9.issue-2
   PubMedGoogle Scholar
• Pekgor S, Duran C, Berberoglu U, Eryilmaz MA The role of visceral adiposity index levels in predicting the presence of metabolic syndrome and insulin resistance in overweight and obese patients. Metab Syndr Relat Disord. 2019;17(5):296–302. doi:10.1089/met.2019.0005
   PubMed Web of Science ®Google Scholar
• Motamed N, Khonsari M, Rabiee B, et al. Discriminatory ability of visceral adiposity index (VAI) in diagnosis of metabolic syndrome: a population based study. Exp Clin Endocrinol Diabetes Care. 2017;125(03):202–207. doi:10.1055/s-0042-119032
   PubMedGoogle Scholar
• Knowles K, Paiva L, Sanchez S, et al. Waist circumference, body mass index, and other measures of adiposity in predicting cardiovascular disease risk factors among Peruvian adults. Int J Hypertens. 2011;2011
   Google Scholar
• Wang H, Liu A, Zhao T, et al. Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study. BMJ Open. 2017;7(9):e016062. doi:10.1136/bmjopen-2017-016062
   PubMed Web of Science ®Google Scholar
• Liu B, Liu B, Wu G, Yin F Relationship between body-roundness index and metabolic syndrome in type 2 diabetes. Diabetes Metab Syndr Obes. 2019;12:931. doi:10.2147/DMSO.S209964
   PubMed Web of Science ®Google Scholar
• Ramírez-Vélez R, Pérez-Sousa MÁ, Izquierdo M, et al. Validation of surrogate anthropometric indices in older adults: what is the best indicator of high cardiometabolic risk factor clustering? Nutrients. 2019;11(8):1701. doi:10.3390/nu11081701
   PubMedGoogle Scholar
• Chang Y, Guo X, Chen Y, et al. A body shape index and body roundness index: two new body indices to identify diabetes mellitus among rural populations in northeast China. BMC Public Health. 2015;15(1):794. doi:10.1186/s12889-015-2150-2
   PubMedGoogle Scholar
• Barazzoni R, Cappellari GG, Semolic A, et al. Central adiposity markers, plasma lipid profile and cardiometabolic risk prediction in overweight-obese individuals. Clin Nutr. 2019;38(3):1171–1179. doi:10.1016/j.clnu.2018.04.014
   PubMedGoogle Scholar
• Feng J, He S, Chen X Body adiposity index and body roundness index in identifying insulin resistance among adults without diabetes. Am J Med Sci. 2019;357(2):116–123. doi:10.1016/j.amjms.2018.11.006
   PubMedGoogle Scholar
• Li G, Wu H-K, Wu X-W, et al. The feasibility of two anthropometric indices to identify metabolic syndrome, insulin resistance and inflammatory factors in obese and overweight adults. Nutrition. 2019;57:194–201. doi:10.1016/j.nut.2018.05.004
   PubMed Web of Science ®Google Scholar
• Adejumo EN, Adejumo AO, Azenabor A, et al. Anthropometric parameter that best predict metabolic syndrome in south west Nigeria. Diabetes Metab Syndr Clin Res Rev. 2019;13(1):48–54. doi:10.1016/j.dsx.2018.08.009
   PubMed Web of Science ®Google Scholar
• Haghighatdoost F, Sarrafzadegan N, Mohammadifard N, Asgary S, Boshtam M, Azadbakht L Assessing body shape index as a risk predictor for cardiovascular diseases and metabolic syndrome among Iranian adults. Nutrition. 2014;30(6):636–644. doi:10.1016/j.nut.2013.10.021
   PubMedGoogle Scholar
• He J, Guo S, Liu J, et al. Ethnic differences in prevalence of general obesity and abdominal obesity among low-income rural Kazakh and Uyghur adults in far western China and implications in preventive public health. PLoS One. 2014;9(9):e106723. doi:10.1371/journal.pone.0106723
   PubMedGoogle Scholar
• Zaccagni L, Rinaldo N, Bramanti B, Gualdi-Russo E Relation between lifestyle behaviors and body composition patterns among healthy young Italians: a cross-sectional study. J Sports Med Phys Fitness. 2018;58(11):1652–1656. doi:10.23736/S0022-4707.17.07871-9
   PubMedGoogle Scholar
• Maessen MF, Eijsvogels TM, Verheggen RJ, Hopman MT, Verbeek AL, de Vegt F Entering a new era of body indices: the feasibility of a body shape index and body roundness index to identify cardiovascular health status. PLoS One. 2014;9(9):e107212. doi:10.1371/journal.pone.0107212
   PubMed Web of Science ®Google Scholar