Implication of high-body-fat percentage on cardiometabolic risk in middle-aged, healthy, normal-weight adults

Obesity

Volumn 21, Issue 8, 2013, Pages 1571-1577

  Kim, Ji Young ^a   Han, Sang Hwan ^b   Yang, Bong Min ^a  

^a Seoul National University   (South Korea)

^b Gachon University College of Medicine   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CHOLESTEROL; GLUCOSE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; INSULIN; LOW DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL;

ABDOMINAL OBESITY; ADULT; AGE DISTRIBUTION; ARTICLE; BODY FAT; BODY MASS; CARDIOMETABOLIC RISK; CHOLESTEROL BLOOD LEVEL; CROSS-SECTIONAL STUDY; DIASTOLIC BLOOD PRESSURE; DYSLIPIDEMIA; ETHNIC GROUP; FEMALE; GLUCOSE BLOOD LEVEL; HIGH BODY FAT PERCENTAGE; HUMAN; HUMAN EXPERIMENT; HYPERGLYCEMIA; HYPERTENSION; INSULIN BLOOD LEVEL; KOREAN; MALE; MIDDLE AGED; NORMAL HUMAN; PREVALENCE; RISK ASSESSMENT; RISK FACTOR; SYSTOLIC BLOOD PRESSURE; TRIACYLGLYCEROL BLOOD LEVEL; WAIST CIRCUMFERENCE;

ADIPOSITY; ADULT; ASIAN CONTINENTAL ANCESTRY GROUP; BLOOD GLUCOSE; BODY MASS INDEX; CARDIOVASCULAR DISEASES; CHOLESTEROL; CROSS-SECTIONAL STUDIES; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; OBESITY; ODDS RATIO; PREVALENCE; QUESTIONNAIRES; REPUBLIC OF KOREA; RISK FACTORS; TRIGLYCERIDES; WAIST CIRCUMFERENCE;

EID: 84883174805     PISSN: 19307381     EISSN: 1930739X     Source Type: Journal    
DOI: 10.1002/oby.20020     Document Type: Article

References (35)

1. Haslam DW, James WPT., Obesity. Lancet 2005; 366: 1197-1209.
2. WHO. Obesity: preventing and managing the global epidemic. Report of a WHO Consultation on Obesity, Geneva, 3-5 June 1997. Geneva: World Health Organization; 1998.
3. WHO Expert Consultation,. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004; 363: 157-163.
4. Bray GA,. Classification and evaluation of the obesities. Med Clin North Am 1989; 73: 161-184.
5. Inoue S, Zimmet P, Caterson I, Chunming C, Ikeda Y, Khalid A., WHO/IASO/IOTF. The Asia-Pacific perspective: redefining obesity and its treatment. Sydney (Australia): Australasian Society for the Study of Obesity; 2000.
6. Lee DY, Choi ES, Kim JH, et al. Comparison of the predictability of cardiovascular disease risk according to different metabolic syndrome criteria of American Heart Association/National Heart, Lung, and Blood Institute and International Diabetes Federation in Korean Men. Korean Diab J 2008; 32: 317-327. (Korean)
7. Deurenberg-Yap M, Chew S, Deurenberg P,. Elevated body fat percentage and cardiovascular risks at low body mass index levels among Singaporean Chinese, Malays and Indians. Obes Rev 2002; 3: 209-215.
8. Kishimoto N, Okita K, Takada S, et al. Lipoprotein metabolism, insulin resistance, and adipocytokine levels in Japanese female adolescents with a normal body mass index and high body fat mass. Circ J 2009; 73: 534-539.
9. Ito H, Nakasuga K, Ohshima A, et al. Excess accumulation of body fat is related to dyslipidemia in normal-weight subjects. Int J Obes Relat Metab Disord 2004; 28: 242-247.
10. Tanaka S, Togashi K, Rankinen T, et al. Is adiposity at normal body weight relevant for cardiovascular disease risk? Int J Obes Relat Metab Disord 2002; 26: 176-183.
11. Han JH, Kim SM,. Relationship between percent body fat and cardiovascular risk factors for normal weight adults. J Korean Acad Fam Med 2006; 27: 352-357.
12. Ruderman NB, Schneider SH, Berchtold P,. The "metabolically-obese, " normal-weight individual. Am J Clin Nutr 1981; 34: 1617-1621.
13. Lee K,. Metabolically obese but normal weight (MONW) and metabolically healthy but obese (MHO) phenotypes in Koreans: characteristics and health behaviors. Asia Pac J Clin Nutr 2009; 18: 280-284.
14. Romero-Corral A, Somers VK, Sierra-Johnson J, et al. Normal weight obesity: a risk factor for cardiometabolic dysregulation and cardiovascular mortality. Eur Heart J 2010; 31: 737-746.
15. U.S. Preventive Services, Task Force., Screening and behavioral counseling interventions in primary care to reduce alcohol misuse: recommendation statement. Ann Intern Med 2004; 140: 554-556.
16. Jeong DW, Lee SY, Min HG, et al. Measuring performance evaluation of body fat measuring instrument applying body measuring value method. Korean J Health Promot Dis Prev 2006; 6: 79-87. (Korean)
17. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC,. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985; 28: 412-419.
18. WHO/IASO/IOTF. The Asia-Pacific perspective: redefining obesity and its treatment. Health Communications Australia Pty Ltd.; 2000.
19. WHO. Physical status: the use and interpretation of anthropometry. Report of a WHO expert committee. WHO Tech Rep Ser 1995; 854: 1-452.
20. SJ Sim, HS Park,. The cut-off values of body fat to identify cardiovascular risk among Korean adults. Korean J Obes 2004; 13: 14-21. (Korean)
21. Cho YG, Song HJ, Kim JM, et al. The estimation of cardiovascular risk factors by body mass index and body fat percentage in Korean male adults. Metabolism 2009; 58: 765-771.
22. Dudeja V, Misra A, Pandey RM, Devina G, Kumar G, Vikram NK,. BMI does not accurately predict overweight in Asian Indians in northern India. Br J Nutr 2001; 86: 105-112.
23. Goh VH, Tain CF, Tong TY, Mok HP, Wong MT,. Are BMI and other anthropometric measures appropriate as indices for obesity? A study in an Asian population. J Lipid Res 2004; 45: 1892-1898.
24. International Diabetes Federation: the IDF consensus worldwide definition of the metabolic syndrome. . Accessed 2 January 2012.
25. Lee K, Song YM, Sung J,. Which obesity indicators are better predictors of metabolic risk?: healthy twin study. Obesity 2008; 16: 834-840.
26. National Cholesterol Education Program (NCEP) Expert Panel on Detection E, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation 2002; 106: 3143-3421.
27. American Diabetes Association. Standards of medical care in diabetes. Diabetes Care 2004; 27: S15-S35.
28. De Lorenzo A, Martinoli R, Vaia F, Di Renzo L,. Normal weight obese (NWO) women: an evaluation of a candidate new syndrome. Nutr Metab Cardiovasc Dis 2006; 16: 513-523.
29. Di Renzo L, Del Gobbo V, Bigioni M, Premrov MG, Cianci R, De Lorenzo A,. Body composition analyses in normal weight obese women. Eur Rev Med Pharmacol Sci 2006; 10: 191-196.
30. De Lorenzo A, Del Gobbo V, Premrov M, Bigioni M, Galvano F, Di Renzo L,. Normal-weight obese syndrome: early inflammation? Am J Clin Nutr 2007; 85: 40-45.
31. Lopez JC, Montesinos R, Velázquez C, González-Barranco J,. Short stature is related to high body fat composition despite body mass index in a Mexican population. Arch Med Res 2003; 34: 137-140.
32. Bosy-Westphal A, Plachta-Danielzik S, Dorhofer RP, Muller MJ,. Short stature and obesity: positive association in adults but inverse association in children and adolescents. Br J Nutr 2009; 102: 453-461.
33. Clasey JL, Bouchard C, Teates CD, et al. The use of anthropometric and dual-energy X-ray absorptiometry (DXA) measures to estimate total abdominal and abdominal visceral fat in men and women. Obes Res 1999; 7: 256-264.
34. Mendelsohn ME, Karas RH,. The protective effects of est999rogen on the cardiovascular system. N Engl J Med 1999; 340: 1801-1811.
35. Pietrobelli A, Rubiano F, St-Onge MP, Heymsfield SB,. New bioimpedance analysis system: improved phenotyping with whole-body analysis. Eur J Clin Nutr 2004; 58: 1479-1484.