154
Views
14
CrossRef citations to date
0
Altmetric
Original Research

Relationship between body-roundness index and metabolic syndrome in type 2 diabetes

, , &
Pages 931-935 | Published online: 19 Jun 2019

References

  • Federation. ID. Idf Diabetes Atlas . 8th ed. Brussels, Belgium: International Diabetes Federation; 2017 Available from: www.diabetesatlas.org.
  • Federation. ID. Diabetes and Cardiovascular Disease . Brussels, Belgium: International Diabetes Federation; 2016 Available from: www.idf.org/cvd.
  • Udenze IC , Azinge EC , Arikawe AP , et al. The prevalence of metabolic syndrome in persons with type 2 diabetes at the Lagos university tteaching hospital, Lagos, Nigeria. West Afr J Med . 2013;32:126–132.23913501
  • Guzder RN , Gatling W , Mullee MA , Byrne CD . Impact of metabolic syndrome criteria on cardiovascular disease risk in people with newly diagnosed type 2 diabetes. Diabetologia . 2006;49:49–55. doi:10.1007/s00125-005-0063-9 16341841
  • Bonora E , Targher G , Formentini G , et al. The metabolic syndrome is an independent predictor of cardiovascular disease in type 2 diabetic subjects. prospective data from the verona diabetes complications study. Diabet Med . 2004;21:52–58.14706054
  • Yao MF , He J , Sun X , et al. Gender differences in risks of coronary heart disease and stroke in patients with type 2 diabetes mellitus and their association with metabolic syndrome in China. Int J Endocrinol . 2016;2016:8483405. doi:10.1155/2016/8483405 28042294
  • Ma CM , Lu N , Wang R , Liu XL , Lu Q , Yin FZ . Three novel obese indicators perform better in monitoring management of metabolic syndrome in type 2 diabetes. Sci Rep . 2017;7:9843. doi:10.1038/s41598-017-10446-3 28852155
  • 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;30:636–644. doi:10.1016/j.nut.2013.10.021 24800666
  • Costa EC , Sa JC , Soares EM , Lemos TM , Maranhao TM , Azevedo GD . Anthropometric indices of central obesity how discriminators of metabolic syndrome in Brazilian women with polycystic ovary syndrome. Gynecol Endocrinol . 2012;28:12–15. doi:10.3109/09513590.2011.583956
  • Motamed N , Sohrabi M , Poustchi H , et al. The six obesity indices, which one is more compatible with metabolic syndrome? A population based study. Diabetes Metab Syndr . 2017;11:173–177. doi:10.1016/j.dsx.2016.08.024 27658893
  • 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 (Silver Spring) . 2013;21:2264–2271. doi:10.1002/oby.20408 23519954
  • Zhang J , Zhu W , Qiu L , Huang L , Fang L . Sex- and age-specific optimal anthropometric indices as screening tools for metabolic syndrome in Chinese adults. Int J Endocrinol . 2018;2018:1067603. doi:10.1155/2018/1528437 30310390
  • Li G , Wu HK , Wu XW , 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 30176572
  • Liu PJ , Ma F , Lou HP , Zhu YN . Body roundness index and body adiposity index: two new anthropometric indices to identify metabolic syndrome among Chinese postmenopausal women. Climacteric . 2016;19:433–439. doi:10.1080/13697137.2016.1202229 27410775
  • Gomez-Marcos MA , Gomez-Sanchez L , Patino-Alonso MC , et al. Capacity adiposity indices to identify metabolic syndrome in subjects with intermediate cardiovascular risk (MARK study). PLoS One . 2019;14:e0209992. doi:10.1371/journal.pone.0209992 30682054
  • 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:e016062. doi:10.1136/bmjopen-2017-016062
  • Zhao Q , Zhang K , Li Y , et al. Capacity of a body shape index and body roundness index to identify diabetes mellitus in han Chinese people in Northeast China: a cross-sectional study. Diabet Med . 2018;35:1580–1587. doi:10.1111/dme.13787 30059165
  • 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;15:794. doi:10.1186/s12889-015-2150-2 26286520
  • Yang J , Wang F , Wang J , et al. Using different anthropometric indices to assess prediction ability of type 2 diabetes in elderly population: a 5 year prospective study. BMC Geriatr . 2018;18:218. doi:10.1186/s12877-018-0912-2 30223783
  • American Diabetes A. Diagnosis and classification of diabetes mellitus. Diabetes Care . 2014;37(Suppl 1):S81–90. doi:10.2337/dc14-S081 24357215
  • Society CD. Chinese guideline for type 2 diabetes. Chin J Endocrinol Metab . 2014;30:893–942.
  • Foroozanfar ZM , Najafipour HP , Khanjani NPM , Bahrampour APM , Ebrahimi HM . The prevalence of metabolic syndrome according to different criteria and its associated factors in type 2 diabetic patients in Kerman, Iran. Iran J Med Sci . 2015;40:522–525.26538781
  • Zaid M , Ameer F , Munir R , et al. Anthropometric and metabolic indices in assessment of type and severity of dyslipidemia. J Physiol Anthropol . 2017;36:19. doi:10.1186/s40101-017-0134-x 28241855
  • Chang Y , Guo X , Guo L , Li Z , Li Y , Sun Y . The feasibility of two new anthropometric indices to identify hypertension in rural China: a cross-sectional study. Medicine (Baltimore) . 2016;95:e5301. doi:10.1097/MD.0000000000004864 27858905
  • 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 (Baltimore) . 2016;95:e4642. doi:10.1097/MD.0000000000004864 27559964
  • 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;357:116–123. doi:10.1016/j.amjms.2018.11.006 30665492
  • Barazzoni R , Gortan Cappellari G , Semolic A , et al. Central adiposity markers, plasma lipid profile and cardiometabolic risk prediction in overweight-obese individuals. Clin Nutr . 2019;38:1171–1179.