Optimal Body Fat Percentage Cut-Off Values in Predicting the Obesity-Related Cardiovascular Risk Factors: A Cross-Sectional Cohort Study

References

• Boutayeb A, Boutayeb S. The burden of non communicable diseases in developing countries. Int J Equity Health. 2005;4(1). doi:10.1186/1475-9276-4-2
   PubMedGoogle Scholar
• Ortega Francisco B, Lavie Carl J, Blair Steven N. Obesity and cardiovascular disease. Circ Res. 2016;118(11):1752–1770. doi:10.1161/CIRCRESAHA.115.306883
   PubMedGoogle Scholar
• Rodgers JL, Jones J, Bolleddu SI, et al. Cardiovascular risks associated with gender and aging. J Cardiovasc Dev Dis. 2019;6(2):19. doi:10.3390/jcdd6020019
   PubMed Web of Science ®Google Scholar
• Missud DC, Parot-Schinkel E, Connan L, Vielle B, Huez J-F. Physical activity prescription for general practice patients with cardiovascular risk factors–the PEPPER randomised controlled trial protocol. BMC Public Health. 2019;19(1):688. doi:10.1186/s12889-019-7048-y
   PubMedGoogle Scholar
• Fa-Binefa M, Clará A, Pérez-Fernández S, et al. Early smoking-onset age and risk of cardiovascular disease and mortality. Prev Med. 2019;124:17–22. doi:10.1016/j.ypmed.2019.04.022
   PubMedGoogle Scholar
• Vornamen M, Konttinen H, Kaariainen H, et al.Family history and perceived risk of diabetes, cardiovascular disease, cancer, and depression. PubMed - NCBI. Available from: https://www.ncbi.nlm.nih.gov/pubmed/27353304. Accessed April 4, 2020.
   Google Scholar
• WHO. Obesity. WHO. Available from: https://www.who.int/topics/obesity/en/. Accessed June 18, 2019.
   Google Scholar
• Flegal KM, Kit BK, Orpana H, Graubard BI. Association of all-cause mortality with overweight and obesity using standard body mass index categories. JAMA. 2013;309(1):71–82. doi:10.1001/jama.2012.113905
   PubMed Web of Science ®Google Scholar
• NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants. Lancet Lond Engl. 2016;387(10026):1377–1396. doi:10.1016/S0140-6736(16)30054-X.
   PubMed Web of Science ®Google Scholar
• Akoumianakis I, Antoniades C. The interplay between adipose tissue and the cardiovascular system: is fat always bad? Cardiovasc Res. 2017;113(9):999–1008. doi:10.1093/cvr/cvx111
   PubMedGoogle Scholar
• Nicklas TA, O’Neil CE. Prevalence of obesity: a public health problem poorly understood. AIMS Public Health. 2014;1(2):109–122. doi:10.3934/publichealth.2014.2.109
   PubMedGoogle Scholar
• Williams EP, Mesidor M, Winters K, Dubbert PM, Wyatt SB. Overweight and obesity: prevalence, consequences, and causes of a growing public health problem. Curr Obes Rep. 2015;4(3):363–370. doi:10.1007/s13679-015-0169-4
   PubMed Web of Science ®Google Scholar
• Fletcher I. Defining an epidemic: the body mass index in British and US obesity research 1960–2000. Sociol Health Illn. 2014;36(3):338–353. doi:10.1111/1467-9566.12050
   PubMed Web of Science ®Google Scholar
• Organization WH. Obesity: Preventing and Managing the Global Epidemic. World Health Organization; 2000.
   Google Scholar
• Jensen B, Braun W, Geisler C, et al. Limitations of fat-free mass for the assessment of muscle mass in obesity. Obes Facts. 2019;12(3):307–315. doi:10.1159/000499607
   PubMed Web of Science ®Google Scholar
• WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet Lond Engl. 2004;363(9403):157–163. doi:10.1016/S0140-6736(03)15268-3.
   PubMed Web of Science ®Google Scholar
• Tomiyama AJ, Hunger JM, Nguyen-Cuu J, Wells C. Misclassification of cardiometabolic health when using body mass index categories in NHANES 2005–2012. Int J Obes 2005. 2016;40(5):883–886. doi:10.1038/ijo.2016.17
   Google Scholar
• Bredella MA. Sex differences in body composition. In: Mauvais-Jarvis F, editor. Sex and Gender Factors Affecting Metabolic Homeostasis, Diabetes and Obesity. Vol. 1043. Cham: Springer International Publishing; 2017: 9–27. doi:10.1007/978-3-319-70178-3_2.
   Google Scholar
• Schorr M, Dichtel LE, Gerweck AV, et al. Sex differences in body composition and association with cardiometabolic risk. Biol Sex Differ. 2018;9(1). doi:10.1186/s13293-018-0189-3
   PubMed Web of Science ®Google Scholar
• Yan W, Bingxian H, Hua Y, et al. Waist-to-height ratio is an accurate and easier index for evaluating obesity in children and adolescents. Obesity. 2007;15(3):748–752. doi:10.1038/oby.2007.601
   PubMedGoogle Scholar
• Liao Q, Zheng Z, Xiu S, Chan P. Waist circumference is a better predictor of risk for frailty than BMI in the community-dwelling elderly in Beijing. Aging Clin Exp Res. 2018;30(11):1319–1325. doi:10.1007/s40520-018-0933-x
   PubMed Web of Science ®Google Scholar
• Qiao Q, Nyamdorj R. The optimal cutoff values and their performance of waist circumference and waist-to-hip ratio for diagnosing type II diabetes. Eur J Clin Nutr. 2010;64(1):23–29. doi:10.1038/ejcn.2009.92
   PubMed Web of Science ®Google Scholar
• Ho-Pham LT, Lai TQ, Nguyen MTT, Nguyen TV. Relationship between body mass index and percent body fat in Vietnamese: implications for the diagnosis of obesity. Blachier F ed. PLoS One. 2015;10(5):e0127198. doi:10.1371/journal.pone.0127198
   PubMed Web of Science ®Google Scholar
• Lizak D, Budzowski A, Seń M, Czarny W. Anthropometric measures of body composition used in obesity diagnosis – an overview. Hygeia Public Health. 2016;51(2):124–133.
   Google Scholar
• Courville AB, Yang SB, Andrus S, et al. Body adiposity measured by bioelectrical impedance is an alternative to dual-energy x-ray absorptiometry in black Africans: the Africans in America Study. Nutrition. 2020;74:110733. doi:10.1016/j.nut.2020.110733
   PubMedGoogle Scholar
• Flegal KM, Shepherd JA, Looker AC, et al. Comparisons of percentage body fat, body mass index, waist circumference, and waist-stature ratio in adults. Am J Clin Nutr. 2009;89(2):500–508. doi:10.3945/ajcn.2008.26847
   PubMed Web of Science ®Google Scholar
• Achamrah N, Colange G, Delay J, et al. Comparison of body composition assessment by DXA and BIA according to the body mass index: a retrospective study on 3655 measures. Handelsman DJ ed. PLoS One. 2018;13(7):e0200465. doi:10.1371/journal.pone.0200465
   PubMed Web of Science ®Google Scholar
• Suliga E, Koziel D, Cieśla E, Rębak D, Głuszek S. Sleep duration and the risk of obesity – a cross-sectional study. Med Stud. 2017;33(3):176–183. doi:10.5114/ms.2017.70343
   Google Scholar
• Dickey RA, Bartuska D, Bray GA, et al. AACE/ACE position statement of the prevention, diagnosis, and treatment of obesity. Endocr Pract. 1998;4:297–350.
   Google Scholar
• Ho-Pham LT, Campbell LV, Nguyen TV. More on body fat cutoff points. Mayo Clin Proc. 2011;86(6):584. doi:10.4065/mcp.2011.0097
   PubMed Web of Science ®Google Scholar
• Macek P, Terek-Derszniak M, Zak M, et al. WHO recommendations on physical activity versus compliance rate within a specific urban population as assessed through IPAQ survey: a cross-sectional cohort study. BMJ Open. 2019;9(6):e028334. doi:10.1136/bmjopen-2018-028334
   PubMed Web of Science ®Google Scholar
• Kim C-H, Park HS, Park M, Kim H, Kim C. Optimal cutoffs of percentage body fat for predicting obesity-related cardiovascular disease risk factors in Korean adults. Am J Clin Nutr. 2011;94(1):34–39. doi:10.3945/ajcn.110.001867
   PubMedGoogle Scholar
• Bei-Fan Z. the cooperative meta-analysis group of working group on obesity in China. Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults: study on optimal cut-off points of body mass index and waist circumference in Chinese adults. Asia Pac J Clin Nutr. 2002;11(s8):S685–S693. doi:10.1046/j.1440-6047.11.s8.9.x
   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
• Britton KA, Massaro JM, Murabito JM, Kreger BE, Hoffmann U, Fox CS. Body fat distribution, incident cardiovascular disease, cancer, and all-cause mortality. J Am Coll Cardiol. 2013;62(10):921–925. doi:10.1016/j.jacc.2013.06.027
   PubMed Web of Science ®Google Scholar
• Seravalle G, Grassi G. Obesity and hypertension. Pharmacol Res. 2017;122:1–7. doi:10.1016/j.phrs.2017.05.013
   PubMed Web of Science ®Google Scholar
• Fang H, Berg E, Cheng X, Shen W. How to best assess abdominal obesity. Curr Opin Clin Nutr Metab Care. 2018;21(5):360–365. doi:10.1097/MCO.0000000000000485
   PubMed Web of Science ®Google Scholar
• De Lorenzo A, Deurenberg P, Pietrantuono M, Di Daniele N, Cervelli V, Andreoli A. How fat is obese? Acta Diabetol. 2003;40(S1):s254–s257. doi:10.1007/s00592-003-0079-x
   PubMedGoogle Scholar
• WHO. TRS_854.pdf. Available from: https://apps.who.int/iris/bitstream/handle/10665/37003/WHO_TRS_854.pdf?sequence=1&isAllowed=y. Accessed June 20, 2019.
   Google Scholar
• Tafeit E, Cvirn G, Lamprecht M, et al. Using body mass index ignores the intensive training of elite special force personnel. Exp Biol Med Maywood NJ. 2019:1535370219848986. doi:10.1177/1535370219848986.
   Google Scholar
• Vinknes K, Nurk E, Tell G, Sulo G, Refsum H, Elshorbagy AK. The relation of CUN-BAE index and BMI with body fat, cardiovascular events and diabetes during a 6-year follow-up: the Hordaland Health Study. Clin Epidemiol. 2017;9:555–566. doi:10.2147/CLEP.S145130
   PubMed Web of Science ®Google Scholar
• Ahmad N, Adam SIM, Nawi AM, Hassan MR, Ghazi HF. Abdominal obesity indicators: waist circumference or waist-to-hip ratio in Malaysian adults population. Int J Prev Med. 2016;(7). doi:10.4103/2008-7802.183654
   PubMedGoogle Scholar
• Tyson N, Frank M. Childhood and adolescent obesity definitions as related to BMI, evaluation and management options. Best Pract Res Clin Obstet Gynaecol. 2018;48:158–164. doi:10.1016/j.bpobgyn.2017.06.003
   PubMed Web of Science ®Google Scholar
• Wang J, Thornton JC, Russell M, Burastero S, Heymsfield S, Pierson RN. Asians have lower body mass index (BMI) but higher percent body fat than do whites: comparisons of anthropometric measurements. Am J Clin Nutr. 1994;60(1):23–28. doi:10.1093/ajcn/60.1.23
   PubMed Web of Science ®Google Scholar
• Winter JE, MacInnis RJ, Wattanapenpaiboon N, Nowson CA. BMI and all-cause mortality in older adults: a meta-analysis. Am J Clin Nutr. 2014;99(4):875–890. doi:10.3945/ajcn.113.068122
   PubMed Web of Science ®Google Scholar
• Vanavanan S, Srisawasdi P, Rochanawutanon M, Kumproa N, Kruthkul K, Kroll MH. Performance of body mass index and percentage of body fat in predicting cardiometabolic risk factors in Thai adults. Diabetes Metab Syndr Obes. 2018;11:241.doi:10.2147/DMSO.S167294
   PubMed Web of Science ®Google Scholar
• Zhu S, Heshka S, Wang Z, et al. Combination of BMI and waist circumference for identifying cardiovascular risk factors in Whites. Obes Res. 2004;12(4):633–645. doi:10.1038/oby.2004.73
   PubMedGoogle Scholar
• Guasch-Ferré M, Bulló M, Martínez-González MÁ, et al. Waist-to-height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk. PLoS One. 2012;7(8):e43275. doi:10.1371/journal.pone.0043275
   PubMedGoogle Scholar
• Kerkadi A, Suleman D, Salah LA, et al. Adiposity indicators as cardio-metabolic risk predictors in adults from country with high burden of obesity. Diabetes Metab Syndr Obes. 2020;13:175. doi:10.2147/DMSO.S238748
   PubMed Web of Science ®Google Scholar
• Ramírez-Vélez R, Correa-Bautista J, Sanders-Tordecilla A, et al. Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian University students. Nutrients. 2017;9(9):1009. doi:10.3390/nu9091009
   PubMed Web of Science ®Google Scholar