Evaluating CMR

Clinical Tools

Indices of Total Adiposity

References


Page: Go to Previous Page 8 of 8 Go to Next Page
  1. Folsom AR, Kushi LH, Anderson KE, et al. Associations of general and abdominal obesity with multiple health outcomes in older women: the Iowa Women's Health Study. Arch Intern Med 2000; 160: 2117-28.
  2. Ho SC, Chen YM, Woo JL, et al. Association between simple anthropometric indices and cardiovascular risk factors. Int J Obes Relat Metab Disord 2001; 25: 1689-97.
  3. Bigaard J, Tjonneland A, Thomsen BL, et al. Waist circumference, BMI, smoking, and mortality in middle-aged men and women. Obes Res 2003; 11: 895-903.
  4. Allison DB, Zhu SK, Plankey M, et al. Differential associations of body mass index and adiposity with all-cause mortality among men in the first and second National Health and Nutrition Examination Surveys (NHANES I and NHANES II) follow-up studies. Int J Obes Relat Metab Disord 2002; 26: 410-6.
  5. Calle EE, Thun MJ, Petrelli JM, et al. Body-mass index and mortality in a prospective cohort of U.S. adults. N Engl J Med 1999; 341: 1097-105.
  6. Wang Z and Hoy WE. Waist circumference, body mass index, hip circumference and waist-to-hip ratio as predictors of cardiovascular disease in Aboriginal people. Eur J Clin Nutr 2004; 58: 888-93.
  7. Farin HM, Abbasi F and Reaven GM. Body mass index and waist circumference both contribute to differences in insulin-mediated glucose disposal in nondiabetic adults. Am J Clin Nutr 2006; 83: 47-51.
  8. Wildman RP, Gu D, Reynolds K, et al. Are waist circumference and body mass index independently associated with cardiovascular disease risk in Chinese adults? Am J Clin Nutr 2005; 82: 1195-202.
  9. Janssen I, Katzmarzyk PT and Ross R. Body mass index, waist circumference, and health risk: evidence in support of current National Institutes of Health guidelines. Arch Intern Med 2002; 162: 2074-9.
  10. Karter AJ, D'Agostino RB, Jr., Mayer-Davis EJ, et al. Abdominal obesity predicts declining insulin sensitivity in non-obese normoglycaemics: the Insulin Resistance Atherosclerosis Study (IRAS). Diabetes Obes Metab 2005; 7: 230-8.
  11. Janssen I, Katzmarzyk PT and Ross R. Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr 2004; 79: 379-84.
  12. Lau DC, Douketis JD, Morrison KM, et al. 2006 Canadian clinical practice guidelines on the management and prevention of obesity in adults and children. CMAJ 2007; 176: S1-117.
  13. Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults--The Evidence Report. National Institutes of Health. Obes Res 1998; 6 Suppl 2: 51S-209S.
  14. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004; 363: 157-63.
  15. Deurenberg-Yap M and Deurenberg P. Is a re-evaluation of WHO body mass index cut-off values needed? The case of Asians in Singapore. Nutr Rev 2003; 61: S80-7.
  16. Dalton M, Cameron AJ, Zimmet PZ, et al. Waist circumference, waist-hip ratio and body mass index and their correlation with cardiovascular disease risk factors in Australian adults. J Intern Med 2003; 254: 555-63.
  17. Spencer EA, Appleby PN, Davey GK, et al. Validity of self-reported height and weight in 4808 EPIC-Oxford participants. Public Health Nutr 2002; 5: 561-5.
  18. Gallagher D, Heymsfield SB, Heo M, et al. Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index. Am J Clin Nutr 2000; 72: 694-701.
  19. Gurrici S, Hartriyanti Y, Hautvast JG, et al. Relationship between body fat and body mass index: differences between Indonesians and Dutch Caucasians. Eur J Clin Nutr 1998; 52: 779-83.
  20. Janssen I, Heymsfield SB, Allison DB, et al. Body mass index and waist circumference independently contribute to the prediction of nonabdominal, abdominal subcutaneous, and visceral fat. Am J Clin Nutr 2002; 75: 683-8.
  21. Després JP, Prud'homme D, Pouliot MC, et al. Estimation of deep abdominal adipose-tissue accumulation from simple anthropometric measurements in men. Am J Clin Nutr 1991; 54: 471-7.
  22. Han TS, McNeill G, Seidell JC, et al. Predicting intra-abdominal fatness from anthropometric measures: the influence of stature. Int J Obes Relat Metab Disord 1997; 21: 587-93.
  23. Ross R, Shaw KD, Rissanen J, et al. Sex differences in lean and adipose tissue distribution by magnetic resonance imaging: anthropometric relationships. Am J Clin Nutr 1994; 59: 1277-85.
  24. Ross R, Leger L, Morris D, et al. Quantification of adipose tissue by MRI: relationship with anthropometric variables. J Appl Physiol 1992; 72: 787-95.
  25. Seidell JC, Bjorntorp P, Sjostrom L, et al. Regional distribution of muscle and fat mass in men--new insight into the risk of abdominal obesity using computed tomography. Int J Obes 1989; 13: 289-303.
  26. van der Kooy K, Leenen R, Seidell JC, et al. Waist-hip ratio is a poor predictor of changes in visceral fat. Am J Clin Nutr 1993; 57: 327-33.
  27. Lohman TG, Roche AF and Martello R. Anthropometric Standardization Reference Manual. 1988.
  28. Wang J, Thornton JC, Kolesnik S, et al. Anthropometry in body composition. An overview. Ann N Y Acad Sci 2000; 904: 317-26.
  29. Heymsfield SB, Lohman TG, Wang Z, et al. Human Body Composition. 2005.
  30. Bray GA, Bouchard C and James WPT. Handbook of Obesity. 1998.
  31. Pollock ML, Hickman T, Kendrick Z, et al. Prediction of body density in young and middle-aged men. J Appl Physiol 1976; 40: 300-4.
  32. van der Ploeg GE, Gunn SM, Withers RT, et al. Use of anthropometric variables to predict relative body fat determined by a four-compartment body composition model. Eur J Clin Nutr 2003; 57: 1009-16.
  33. Peterson MJ, Czerwinski SA and Siervogel RM. Development and validation of skinfold-thickness prediction equations with a 4-compartment model. Am J Clin Nutr 2003; 77: 1186-91.
  34. Fogelholm GM, Sievanen HT, van Marken Lichtenbelt WD, et al. Assessment of fat-mass loss during weight reduction in obese women. Metabolism 1997; 46: 968-75.
  35. Mueller WH and Malina RM. Relative reliability of circumferences and skinfolds as measures of body fat distribution. Am J Phys Anthropol 1987; 72: 437-9.
  36. Steinberger J, Jacobs DR, Jr, Raatz S, et al. Comparison of body fatness measurements by BMI and skinfolds vs dual energy X-ray absorptiometry and their relation to cardiovascular risk factors in adolescents. Int J Obes 2005; 29: 1346-52.
  37. Kim J, Meade T and Haines A. Skinfold thickness, body mass index, and fatal coronary heart disease: 30 year follow up of the Northwick Park heart study. J Epidemiol Community Health 2006; 60: 275-9.
  38. Yarnell JW, Patterson CC, Thomas HF, et al. Central obesity: predictive value of skinfold measurements for subsequent ischaemic heart disease at 14 years follow-up in the Caerphilly Study. Int J Obes Relat Metab Disord 2001; 25: 1546-9.
  39. Kalmijn S, Curb JD, Rodriguez BL, et al. The association of body weight and anthropometry with mortality in elderly men: the Honolulu Heart Program. Int J Obes Relat Metab Disord 1999; 23: 395-402.
  40. Ellis KJ, Bell SJ, Chertow GM, et al. Bioelectrical impedance methods in clinical research: a follow-up to the NIH Technology Assessment Conference. Nutrition 1999; 15: 874-80.
  41. Fogelholm M and van Marken Lichtenbelt W. Comparison of body composition methods: a literature analysis. Eur J Clin Nutr 1997; 51: 495-503.
  42. Baumgartner R, Chumlea W and Roche A. Bioelectric impedance phase angle and body composition. Am J Clin Nutr 1988; 48: 16-23.
  43. Willett K, Jiang R, Lenart E, et al. Comparison of bioelectrical impedance and BMI in predicting obesity-related medical conditions. Obesity (Silver Spring) 2006; 14: 480-90.
  44. Nagaya T, Yoshida H, Takahashi H, et al. Body mass index (weight/height2) or percentage body fat by bioelectrical impedance analysis: which variable better reflects serum lipid profile? Int J Obes Relat Metab Disord 1999; 23: 771-4.
  45. Kobayashi J, Murano S, Kawamura I, et al. The relationship of percent body fat by bioelectrical impedance analysis with blood pressure, and glucose and lipid parameters. J Atheroscler Thromb 2006; 13: 221-6.
  46. Akers R and Buskirk ER. An underwater weighing system utilizing "force cube" transducers. J Appl Physiol 1969; 26: 649-52.
  47. Fields DA, Goran MI and McCrory MA. Body-composition assessment via air-displacement plethysmography in adults and children: a review. Am J Clin Nutr 2002; 75: 453-67.
  48. Bosy-Westphal A, Geisler C, Onur S, et al. Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors. Int J Obes 2005; 30: 475-83.

Document Center


Role of the Dysregulated Endocannabinoid System in Determining Cardiometabolic Risk by Vincenzo Di Marzo, PhD

Role of the Dysregulated Endocannabinoid System in Determining Cardiometabolic Risk by Vincenzo Di Marzo, PhD

More

What is the role of low HDL cholesterol in the elevated CHD risk of metabolic syndrome patients? By Philip J. Barter, MBBS, FRACP, PhD

What is the role of low HDL cholesterol in the elevated CHD risk of metabolic syndrome patients? By Philip J. Barter, MBBS, FRACP, PhD

More

Waist circumference: Getting it right! By Robert Ross, PhD

Waist circumference: Getting it right! By Robert Ross, PhD

More

Hypertrophy and hyperplasia of abdominal adipose tissues in women. Int J Obes (Lond) 2008;32:283-91

Hypertrophy and hyperplasia of abdominal adipose tissues in women. Int J Obes (Lond) 2008;32:283-91

More

Schematic representation of how smoking might add to several mechanisms linking obesity to cardiovascular disease

Schematic representation of how smoking might add to several mechanisms linking obesity to cardiovascular disease

More