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Original Research

The Impact of BMI Categories on Metabolic Abnormality Development in Chinese Adults Who are Metabolically Healthy: A 7-Year Prospective Study

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Pages 819-834 | Published online: 19 Mar 2020

References

  • Piccolo R, Giustino G, Mehran R, et al. Stable coronary artery disease: revascularisation and invasive strategies. Lancet. 2015;386(9994):702–713. doi:10.1016/S0140-6736(15)61220-X
  • Benjamin EJ, Muntner P, Alonso A, et al. Heart disease and stroke statistics-2019 update: a report from the American Heart Association. Circulation. 2019;139:e56–e528. doi:10.1161/CIR.0000000000000659
  • Hu SS, Gao RL, Liu LS, et al. Summary of the 2018 report on cardiovascular diseases in China. Chin Circ J. 2019;34:209–220.
  • Williams KJ, Wu X. Imbalanced insulin action in chronic over nutrition: clinical harm, molecular mechanisms, and a way forward. Atherosclerosis. 2016;247:225–282. doi:10.1016/j.atherosclerosis.2016.02.004
  • Gurka MJ, Filipp SL, Musani SK, et al. Use of BMI as the marker of adiposity in a metabolic syndrome severity score: derivation and validation in predicting long-term disease outcomes. Metabolism. 2018;83:68–74. doi:10.1016/j.metabol.2018.01.015
  • Saklayen MG. The global epidemic of the metabolic syndrome. Curr Hypertens Rep. 2018;20(2):12. doi:10.1007/s11906-018-0812-z
  • Lu JL, Wang LM, Li M, et al. Metabolic syndrome among adults in China: the 2010 China noncommunicable disease surveillance. J Clin Endocrinol Metab. 2017;102(2):507–515. doi:10.1210/jc.2016-2477
  • Cameron AJ, Boyko EJ, Sicree RA, et al. Central obesity as a precursor to the metabolic syndrome in the AusDiab study and Mauritius. Obesity. 2008;16(12):2707–2716. doi:10.1038/oby.2008.412
  • Weber KE, Fischl AF, Murray PJ, et al. Effect of BMI on cardiovascular and metabolic syndrome risk factors in an Appalachian pediatric population. Diabetes Metab Syndr Obes. 2014;7:445–453. doi:10.2147/dmso.S68283
  • Maison P, Byrne CD, Hales CN, et al. Do different dimensions of the metabolic syndrome change together over time? Evidence supporting obesity as the central feature. Diabetes Care. 2001;24(10):1758–1763. doi:10.2337/diacare.24.10.1758
  • Pienkowska J, Brzeska B, Kaszubowski M, et al. MRI assessment of ectopic fat accumulation in pancreas, liver and skeletal muscle in patients with obesity, overweight and normal BMI in correlation with the presence of central obesity and metabolic syndrome. Diabetes Metab Syndr Obes. 2019;12:623–636. doi:10.2147/dmso.S194690
  • Hillier TA, Fagot-Campagna A, Eschwège E, et al. Weight change and changes in the metabolic syndrome as the French population moves towards overweight: the D.E.S.I.R. cohort. Int J Epidemiol. 2006;35(1):190–196. doi:10.1093/ije/dyi281
  • Chuang SY, Chou P, Hsu PF, et al. Presence and progression of abdominal obesity are predictors of future high blood pressure and hypertension. Am J Hypertens. 2006;19(8):788–795. doi:10.1016/j.amjhyper.2006.01.010
  • Bradshaw PT, Reynolds KR, Wagenknecht LE, et al. Incidence of components of metabolic syndrome in the metabolically healthy obese over 9 years follow-up: the Atherosclerosis Risk In Communities study. Int J Obes (Lond). 2018;42(3):295–301. doi:10.1038/ijo.2017.249
  • Liu J, Tao LX, Zhao Z, et al. 2-year changes in hyperuricemia and risk of diabetes: a 5-year Prospective Cohort Study. J Diabetes Res. 2018;2018:6905720. doi:10.1155/2018/6905720
  • Liu XT, Li ZW, Zhang JB, et al. A novel risk score for type 2 diabetes containing sleep duration: a 7-year prospective cohort study among Chinese participants. J Diabetes Res. 2020;2020:2969105. doi:10.1155/2020/2969105
  • Zhang L, Cordeiro LS, Liu J, et al. The association between breakfast skipping and body weight, nutrient intake, and metabolic measures among participants with metabolic syndrome. Nutrients. 2017;9(4):384. doi:10.3390/nu9040384
  • Saito M, Shimazaki Y, Nonoyama T, et al. Number of teeth, oral self-care, eating speed, and metabolic syndrome in an aged Japanese population. J Epidemiol. 2019;29(1):26–32. doi:10.2188/jea.JE20170210
  • 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:10.1159/000365591
  • Hu H, Kurotani K, Sasaki N, et al. Optimal waist circumference cut-off points and ability of different metabolic syndrome criteria for predicting diabetes in Japanese men and women: japan epidemiology collaboration on occupational health study. BMC Public Health. 2016;16(1):220. doi:10.1186/s12889-016-2856-9
  • WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363(9403):157–163. doi:10.1016/S0140-6736(03)15268-3.
  • Yelland LN, Salter AB, Ryan P. Performance of the modified poisson regression approach for estimating relative risks from clustered prospective data. Am J Epidemiol. 2011;174(8):984. doi:10.1093/aje/kwr183
  • Stringhini S, Dugravot A, Shipley M, et al. Health behaviours, socioeconomic status, and mortality: further analyses of the British Whitehall II and the French GAZEL prospective cohorts. PLoS Med. 2011;8(2):e1000419. doi:10.1371/journal.pmed.1000419
  • Park SH, Jang SY, Kim H, et al. An association rule mining-based framework for understanding lifestyle risk behaviors. PLoS One. 2014;9(2):e88859. doi:10.1371/journal.pone.0088859
  • Lee DG, Ryu KS, Bashir M, et al. Discovering medical knowledge using association rule mining in young adults with acute myocardial infarction. J Med Syst. 2013;37(2):9896. doi:10.1007/s10916-012-9896-1
  • Mongraw-Chaffin M, Foster MC, Kalyani RR, et al. Obesity severity and duration are associated with incident metabolic syndrome: evidence against metabolically healthy obesity from the multi-ethnic study of atherosclerosis. J Clin Endocrinol Metab. 2016;101(11):4117–4124. doi:10.1210/jc.2016-2460
  • Kanagasabai T, Thakkar NA, Kuk JL, et al. Differences in physical activity domains, guideline adherence, and weight history between metabolically healthy and metabolically abnormal obese adults: a cross-sectional study. Int J Behav Nutr Phys Act. 2015;12(1):64. doi:10.1186/s12966-015-0227-z
  • Karelis AD, Rabasa-Lhoret R. Obesity: can inflammatory status define metabolic health? Nat Rev Endocrinol. 2013;9(12):694–695. doi:10.1038/nrendo.2013.198
  • Franco OH, Massaro JM, Civil J, et al. Trajectories of entering the metabolic syndrome: the Framingham heart study. Circulation. 2009;120(20):1943–1950. doi:10.1161/CIRCULATIONAHA.109.855817
  • Al-Bachir M, Bakir MA. Predictive value of body mass index to metabolic syndrome risk factors in Syrian adolescents. J Med Case Rep. 2017;11(1):170. doi:10.1186/s13256-017-1315-2
  • Huo D, Tao L, Li X, et al. Association of blood pressure with development of metabolic syndrome components: a five-year Retrospective Cohort study in Beijing. BMC Public Health. 2013;13(1):912. doi:10.1186/1471-2458-13-912
  • Yadav D, Mishra M, Tiwari A, et al. Prevalence of dyslipidemia and hypertension in Indian type 2 diabetic patients with metabolic syndrome and its clinical significance. Osong Public Health Res Perspect. 2014;5(3):169–175. doi:10.1016/j.phrp.2014.04.009
  • Knowles KM, Paiva LL, Sanchez SE, 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;2011:931402. doi:10.4061/2011/931402
  • Klop B, Elte JW, Cabezas MC. Dyslipidemia in obesity: mechanisms and potential targets. Nutrients. 2013;5(4):1218–1240. doi:10.3390/nu5041218
  • Onat A, Can G. Enhanced proinflammatory state and autoimmune activation: a breakthrough to understanding chronic diseases. Curr Pharm Des. 2014;20(4):575–584. doi:10.2174/138161282004140213145551
  • Tao LX, Wang W, Zhu HP, et al. Risk profiles for metabolic syndrome and its transition patterns for the elderly in Beijing, 1992–2009. Endocrine. 2014;47:161–168. doi:10.1007/s12020-013-0143-4
  • Liu X, Tao L, Cao K, et al. Association of high-density lipoprotein with development of metabolic syndrome components: a five-year follow-up in adults. BMC Public Health. 2015;15(1):412. doi:10.1186/s12889-015-1747-9
  • Huang CY, Chang HH, Lu CW, et al. Vitamin D status and risk of metabolic syndrome among non-diabetic young adults. Clin Nutr. 2015;34(3):484–489. doi:10.1016/j.clnu.2014.05.010
  • Haring R, Rosvall M, Völker U, et al. A network-based approach to visualize prevalence and progression of metabolic syndrome components. PLoS One. 2012;7(6):e39461. doi:10.1371/journal.pone.0039461
  • Hwang YC, Hayashi T, Fujimoto WY, et al. Visceral abdominal fat accumulation predicts the conversion of metabolically healthy obese subjects to an unhealthy phenotype. Int J Obes. 2015;39(9):1365–1370. doi:10.1038/ijo.2015.75
  • Van Gaal LF, Mertens IL, De Block CE. Mechanisms linking obesity with cardiovascular disease. Nature. 2006;444(7121):875–880. doi:10.1038/nature05487
  • Bays HE. Adiposopathy, diabetes mellitus, and primary prevention of atherosclerotic coronary artery disease: treating “sick fat” through improving fat function with antidiabetes therapies. Am J Cardiol. 2012;110(9 Suppl):4b–12b. doi:10.1038/nature05487
  • Bays HE. Adiposopathy is “sick fat” a cardiovascular disease? J Am Coll Cardiol. 2011;57(25):2461–2473. doi:10.1016/j.jacc.2011.02.038
  • Pedersen SD. Metabolic complications of obesity. Best Pract Res Cl En. 2013;27(2):179–193. doi:10.1016/j.beem.2013.02.004
  • Bodegard J, Sundström J, Svennblad B, et al. Changes in body mass index following newly diagnosed type 2 diabetes and risk of cardiovascular mortality: a cohort study of 8486 primary-care patients. Diabetes Metab. 2013;39(4):306–313. doi:10.1016/j.diabet.2013.05.004
  • Ferguson TF, Funkhouser E, Roseman J. Factor analysis of metabolic syndrome components in the Coronary Artery Risk Development in Young Adults (CARDIA) study: examination of factors by race-sex groups and across time. Ann Epidemiol. 2010;20:194–200. doi:10.1016/j.annepidem.2009.11.002
  • Dulloo AG, Miles-Chan JL, Montani JP. Nutrition, movement and sleep behaviours: their interactions in pathways to obesity and cardiometabolic diseases. Obes Rev. 2017;18(Suppl 1):3–6. doi:10.1111/obr.12513
  • Cui Z, Truesdale KP, Bradshaw PT, et al. Three-year weight change and cardiometabolic risk factors in obese and normal weight adults who are metabolically healthy: the atherosclerosis risk in communities study. Int J Obes. 2015;39(8):1203–1208. doi:10.1038/ijo.2015.56