Waist circumference, waist-to-hip ratio and body mass index as predictors of adipose tissue compartments in men
Abstract
BACKGROUND: The accumulation of fat in visceral and posterior subcutaneous adipose tissue compartments is highly correlated with the metabolic abnormalities that contribute to increased risk of diabetes mellitus and cardiovascular disease. AIM: To determine which of waist circumference (WC), waist-to-hip ratio (WHR) and body mass index (BMI) was the best predictor of intraperitoneal and posterior subcutaneous abdominal adipose tissue mass in men. METHODS: We studied 59 free-living men with a wide range of BMI. WC, WHR and BMI were determined using standard methods. Intraperitoneal, retroperitoneal, anterior subcutaneous and posterior subcutaneous abdominal adipose tissue masses (IPATM, RPATM, ASAATM and PSAATM, respectively) were quantified using magnetic resonance imaging. RESULTS: In univariate regression analysis, WC, WHR and BMI were all significantly and positively correlated (all p < 0.05) with IPATM, RPATM, ASAATM and PSAATM. To assess the relative strength of these associations, we used non-nested regression models. There was no significant difference between WC and WHR in predicting IPATM and RPATM; WC was a stronger predictor of ASAATM (p < 0.001) and PSAATM (p < 0.001) than WHR; WC was also a stronger predictor of IPATM (p = 0.042) and RPATM (p = 0.045) than BMI, but the relative strengths of WC and BMI in predicting ASSATM and PSAATM did not different significantly (p > 0.05); there was no significant difference between BMI and WHR in predicting IPATM and RPATM (p>0.05), but BMI was a stronger predictor of ASAATM (p = 0.036) and PSAATM (p < 0.001) than WHR. DISCUSSION: In men WC is the anthropometric index that most uniformly predicts the distribution of adipose tissue among several fat compartments in the abdominal region, there apparently being little value in measuring WHR or BMI.
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Waist circumference assesses abdominal fat, with elevated values associated with a higher risk of metabolic diseases.
“Similarly, waist circumference, also measured with a tape measure, assesses abdominal fat, with elevated values associated with a higher risk of metabolic diseases [69].”
From Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity (2024) · cites this paper as [69]
Cites
Obesity and insulin resistance
Kahn, B. B., & Flier, J. S. (2000) · Journal of Clinical Investigation · doi:10.1172/jci10842 · Cited by 3,283 · see citing works
Subcutaneous and visceral adipose tissue: their relation to the metabolic syndrome
Wajchenberg, B. L. (2000) · Endocrine Reviews · doi:10.1210/edrv.21.6.0415 · Cited by 2,961 · see citing works
Pouliot, M.-C., Despres, J., Lemieux, S., Moorjani, S., Bouchard, C., Tremblay, A., Nadeau, A., & Lupien, P. (1994) · American Journal of Cardiology · doi:10.1016/0002-9149(94)90676-9 · Cited by 2,238 · see citing works
Assessment of fat-free mass using bioelectrical impedance measurements of the human body
Lukaski, H., Johnson, P., Bolonchuk, W., & Lykken, G. (1985) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/41.4.810 · Cited by 1,896 · see citing works
Waist circumference as a measure for indicating need for weight management
Lean, M. E. J., Han, T. S., & Morrison, C. E. (1995) · BMJ · doi:10.1136/bmj.311.6998.158 · Cited by 1,869 · see citing works
Lapidus, L., Bengtsson, C., Larsson, B., Pennert, K. M., Rybo, E., & Sjöström, L. (1984) · BMJ · doi:10.1136/bmj.289.6454.1257 · Cited by 1,657 · see citing works
Insulin resistance and cardiovascular disease
Ginsberg, H. N. (2000) · Journal of Clinical Investigation · doi:10.1172/jci10762 · Cited by 1,358 · see citing works
Regional distribution of body fat, plasma lipoproteins, and cardiovascular disease.
Després, J. P., Moorjani, S., Lupien, P. J., Tremblay, A., Nadeau, A., & Bouchard, C. (1990) · Arteriosclerosis: An Official Journal of the American Heart Association, Inc. · doi:10.1161/01.atv.10.4.497 · Cited by 1,248 · see citing works
Ohlson, L., Larsson, B., Svärdsudd, K., Welin, L., Eriksson, H., Wilhelmsen, L., Björntorp, P., & Tibblin, G. (1985) · Diabetes · doi:10.2337/diab.34.10.1055 · Cited by 1,143 · see citing works
"Portal" adipose tissue as a generator of risk factors for cardiovascular disease and diabetes.
Björntorp, P. A. (1990) · Arteriosclerosis An Official Journal of the American Heart Association Inc · doi:10.1161/01.atv.10.4.493 · Cited by 1,115 · see citing works
The Public Health Impact of Obesity
Visscher, T. L. S., & Seidell, J. C. (2001) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.22.1.355 · Cited by 1,013 · see citing works
Relationships of generalized and regional adiposity to insulin sensitivity in men.
Abate, N., Garg, A., Peshock, R. M., Stray-Gundersen, J., & Grundy, S. M. (1995) · Journal of Clinical Investigation · doi:10.1172/jci118083 · Cited by 759 · see citing works
Janssen, I., Heymsfield, S. B., Allison, D. B., Kotler, D. P., & Ross, R. (2002) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/75.4.683 · Cited by 714 · see citing works
Smith, S. R., Lovejoy, J. C., Greenway, F., Ryan, D. H., de Jonge, L., de la Bretonne, J. A., Volafova, J., & Bray, G. A. (2001) · Metabolism · doi:10.1053/meta.2001.21693 · Cited by 596 · see citing works
Subdivisions of subcutaneous abdominal adipose tissue and insulin resistance
Kelley, D. E., Thaete, F. L., Troost, F., Huwe, T., & Goodpaster, B. H. (2000) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.2000.278.5.e941 · Cited by 538 · see citing works
Quantification of adipose tissue by MRI: relationship with anthropometric variables
Ross, R., Léger, L., Morris, D., de Guise, J. A., & Guardo, R. (1992) · Journal of Applied Physiology · doi:10.1152/jappl.1992.72.2.787 · Cited by 517 · see citing works
The prediction of abdominal visceral fat level from body composition and anthropometry: ROC analysis
Rankinen, T., Kim, S.-Y., Pérusse, L., Després, J.-P., & Bouchard, C. (1999) · International Journal of Obesity · doi:10.1038/sj.ijo.0800929 · Cited by 414 · see citing works
Ferland, M., Després, J., Tremblay, A., Pinault, S., Nadeau, A., Moorjani, S., Lupien, P. J., Thériault, G., & Bouchard, C. (1989) · British Journal Of Nutrition · doi:10.1079/bjn19890104 · Cited by 349 · see citing works
Abate, N., Burns, D., Peshock, R. M., Garg, A., & Grundy, S. M. (1994) · Journal of Lipid Research · doi:10.1016/s0022-2275(20)40090-2 · Cited by 335 · see citing works
Abdominal adiposity and insulin resistance in obese men
Ross, R., Aru, J., Freeman, J., HUDSON, R. W., & Janssen, I. (2002) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00469.2001 · Cited by 284 · see citing works
Després, J., Moorjani, S., Ferland, M., Tremblay, A., Lupien, P. J., Nadeau, A., Pinault, S., Thériault, G., & Bouchard, C. (1989) · Arteriosclerosis An Official Journal of the American Heart Association Inc · doi:10.1161/01.atv.9.2.203 · Cited by 254 · see citing works
Adipose tissue distribution measured by magnetic resonance imaging in obese women
Ross, R., Shaw, K., Martel, Y., de Guise, J. A., & Avruch, L. I. (1993) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/57.4.470 · Cited by 214 · see citing works
Misra, A., Garg, A., Abate, N. I., Peshock, R. M., Stray‐Gundersen, J., & Grundy, S. M. (1997) · Obesity Research · doi:10.1002/j.1550-8528.1997.tb00648.x · Cited by 206 · see citing works
The assessment of obesity: methods for measuring body fat and global prevalence of obesity
Deurenberg, P., & Yap, M. (1999) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1053/beem.1999.0003 · Cited by 159 · see citing works
Usefulness of Anthropometry and DXA in Predicting Intra‐abdominal Fat in Obese Men and Women
Kamel, E. G., McNeill, G., & van Wijk, M. C. W. (2000) · Obesity Research · doi:10.1038/oby.2000.6 · Cited by 140 · see citing works
Prediction of Visceral Adipose Tissue from Simple Anthropometric Measurements in Youths with Obesity
Owens, S., Litaker, M. S., Allison, J. D., Riggs, S., Ferguson, M., & Gutin, B. (1999) · Obesity Research · doi:10.1002/j.1550-8528.1999.tb00386.x · Cited by 65 · see citing works
The Role of Body Fat Distribution in Insulin Resistance
Garg, A. (1999) · Humana Press eBooks · doi:10.1007/978-1-59259-716-1_5 · Cited by 11 · see citing works
On non-nested regression models
Anděl, J. (1993) · Czech digital mathematics library · Cited by 3 · see citing works
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Advanced Body Composition Assessment: From Body Mass Index to Body Composition Profiling
Borga, M., West, J., Bell, J. D., Harvey, N. C., Romu, T., Heymsfield, S. B., & Leinhard, O. D. (2018) · Journal of Investigative Medicine · doi:10.1136/jim-2018-000722 · Cited by 626 · see citing works
Klein, S., Allison, D. B., Heymsfield, S. B., Kelley, D. E., Leibel, R. L., Nonas, C., & Kahn, R. (2007) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/85.5.1197 · Cited by 560 · see citing works
MacDonald, A. A., Herbison, P., Showell, M. G., & Farquhar, C. M. (2009) · Human Reproduction Update · doi:10.1093/humupd/dmp047 · Cited by 539 · see citing works
Liu, J., Fox, C. S., Hickson, D. A., May, W. D., Hairston, K. G., Carr, J. J., & Taylor, H. A. (2010) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2010-1378 · Cited by 521 · see citing works
Waist Circumference and Cardiometabolic Risk
Klein, S., Allison, D. B., Heymsfield, S. B., Kelley, D. E., Leibel, R. L., Nonas, C., & Kahn, R. (2007) · Diabetes Care · doi:10.2337/dc07-9921 · Cited by 387 · see citing works
Klein, S., Allison, D. B., Heymsfield, S. B., Kelley, D. E., Leibel, R. L., Nonas, C., & Kahn, R. (2007) · Obesity · doi:10.1038/oby.2007.632 · Cited by 388 · see citing works
Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity
Wu, Y., Li, D., & Vermund, S. H. (2024) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph21060757 · Cited by 332 · see citing works
“Similarly, waist circumference, also measured with a tape measure, assesses abdominal fat, with elevated values associated with a higher risk of metabolic diseases [69].”
BackgroundRole of quercetin as an alternative for obesity treatment: You are what you eat!
Nabavi, S. F., Russo, G. L., Daglia, M., & Nabavi, S. M. (2015) · Food Chemistry · doi:10.1016/j.foodchem.2015.02.006 · Cited by 304 · see citing works
I Diretriz Brasileira de Diagnóstico e Tratamento da Síndrome Metabólica
de Carvalho, M. H. C., Mancini, M. C., de Melo, M. E., Bahia, L., Negrão, C. E., de Matos, L. D. N. J., Sanjuliani, A. F., Kohlmann, O., Oliveira, J. E. P. D., Lerário, A. C., et al. (2005) · Arquivos Brasileiros de Cardiologia · doi:10.1590/s0066-782x2005000700001 · Cited by 300 · see citing works
Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors
Bosy‐Westphal, A., Geisler, C., Onur, S., Korth, O., Selberg, O., Schrezenmeir, J., & Müller, M. J. (2005) · International Journal of Obesity · doi:10.1038/sj.ijo.0803144 · Cited by 285 · see citing works
Standardized assessment of whole body adipose tissue topography by MRI
Machann, J., Thamer, C., Schnoedt, B., Haap, M., Haring, H., Claussen, C., Stumvoll, M., Fritsche, A., & Schick, F. (2005) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20292 · Cited by 266 · see citing works
Emwas, A.-H. M., Luchinat, C., Turano, P., Tenori, L., Roy, R., Salek, R. M., Ryan, D., Merzaban, J. S., Kaddurah-Daouk, R. F., Zeri, A. C. D. M., et al. (2014) · Metabolomics · doi:10.1007/s11306-014-0746-7 · Cited by 237 · see citing works
Waller, K., Kaprio, J., & Kujala, U. M. (2008) · International Journal of Obesity · doi:10.1038/sj.ijo.0803692 · Cited by 185 · see citing works
Hunte, H. E. R., & Williams, D. R. (2008) · American Journal of Public Health · doi:10.2105/ajph.2007.128090 · Cited by 189 · see citing works
BMI compared with 3-dimensional body shape: the UK National Sizing Survey
Wells, J. C. K., Treleaven, P. C., & Cole, T. J. (2007) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/85.2.419 · Cited by 181 · see citing works
Flint, A. J., Rexrode, K. M., Hu, F. B., Glynn, R. J., Caspard, H., Manson, J. E., Willett, W. C., & Rimm, E. B. (2010) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2010.01.001 · Cited by 179 · see citing works
Hingorjo, M. R., Qureshi, M. A., & Mehdi, A. (2012) · PubMed · Cited by 136 · see citing works
Bal, K., Öder, M., Şahin, A., Karataş, C. T., Demir, Ö., Can, E., Gümüş, B., Özer, K., Şahin, O. Ğ., & Esen, A. (2007) · Urology · doi:10.1016/j.urology.2006.09.057 · Cited by 135 · see citing works
Rana, J. S., Arsenault, B. J., Després, J., Cote, M., Talmud, P. J., Ninio, E., Jukema, J. W., Wareham, N. J., Kastelein, J. J. P., Khaw, K., et al. (2009) · European Heart Journal · doi:10.1093/eurheartj/ehp010 · Cited by 114 · see citing works
Denko, C. W., & Malemud, C. J. (2005) · Rheumatology International · doi:10.1007/s00296-005-0588-8 · Cited by 106 · see citing works
Body fatness and sex steroid hormone concentrations in US men: results from NHANES III
Rohrmann, S., Shiels, M. S., López, D. S., Rifai, N., Nelson, W. G., Kanarek, N., Güallar, E., Menke, A., Joshu, C. E., Feinleib, M., et al. (2011) · Cancer Causes & Control · doi:10.1007/s10552-011-9790-z · Cited by 105 · see citing works
Liau, K. M., Lee, Y. Y., Chen, C. K., & Rasool, A. H. G. (2011) · ISRN Pharmacology · doi:10.5402/2011/949686 · Cited by 106 · see citing works
Topography mapping of whole body adipose tissue using A fully automated and standardized procedure
Würslin, C., Machann, J., Rempp, H., Claussen, C. D., Yang, B., & Schick, F. (2010) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22036 · Cited by 101 · see citing works
Ketel, I. J. G., Volman, M. N. M., Seidell, J. C., Stehouwer, C. D. A., Twisk, J. W. R., & Lambalk, C. B. (2007) · European Journal of Endocrinology · doi:10.1530/eje-06-0730 · Cited by 99 · see citing works
Obesity: Its Epidemiology, Comorbidities, and Management
Jarolimova, J., Tagoni, J. R., & Stern, T. A. (2013) · The Primary Care Companion For CNS Disorders · doi:10.4088/pcc.12f01475 · Cited by 92 · see citing works
Food and drinking patterns as predictors of 6-year BMI-adjusted changes in waist circumference
Halkjær, J., Sørensen, T. I. A., Tjønneland, A. M., Togo, P., Holst, C., & Heitmann, B. L. (2004) · British Journal Of Nutrition · doi:10.1079/bjn20041246 · Cited by 92 · see citing works
Slimness is Associated with Greater Intercourse and Lesser Masturbation Frequency
Brody, S. (2004) · Journal of Sex & Marital Therapy · doi:10.1080/00926230490422368 · Cited by 89 · see citing works
Gaida, J. E., Cook, J. L., & Bass, S. L. (2008) · Disability and Rehabilitation · doi:10.1080/09638280701786864 · Cited by 88 · see citing works
Perioperative management of the obese surgical patient
Lang, L., Parekh, K. N., Tsui, B., & Maze, M. (2017) · British Medical Bulletin · doi:10.1093/bmb/ldx041 · Cited by 89 · see citing works
Hora, F., Nápolis, L. M., Daltro, C., Kodaira, S. K., Tufik, S., Togeiro, S. M., & Nery, L. E. (2006) · Respiration · doi:10.1159/000097790 · Cited by 80 · see citing works
Abdominal obesity, dynapenia and dynapenic-abdominal obesity as factors associated with falls
Máximo, R. D. O., Santos, J. L. F., Perracini, M. R., de Oliveira, C. M., Duarte, Y. A. D. O., & Alexandre, T. D. S. (2018) · Brazilian Journal of Physical Therapy · doi:10.1016/j.bjpt.2018.10.009 · Cited by 82 · see citing works
Wald, D., Teucher, B., Dinkel, J., Kaaks, R., Delorme, S., Boeing, H., Seidensaal, K., Meinzer, H., & Heimann, T. (2012) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.23775 · Cited by 79 · see citing works
Obesity associated disease risk: the role of inherent differences and location of adipose depots
Hill, J. H., Solt, C., & Foster, M. T. (2018) · Hormone Molecular Biology and Clinical Investigation · doi:10.1515/hmbci-2018-0012 · Cited by 79 · see citing works
Visceral obesity is associated with outcomes of total mesorectal excision for rectal adenocarcinoma
Ballian, N., Lubner, M. G., Munoz, A., Harms, B. A., Heise, C. P., Foley, E. F., & Kennedy, G. D. (2011) · Journal of Surgical Oncology · doi:10.1002/jso.22031 · Cited by 78 · see citing works
Aitken‐Buck, H. M., Moharram, M., Babakr, A. A., Reijers, R., van Hout, I., Fomison‐Nurse, I. C., Sugunesegran, R., Bhagwat, K., Davis, P. J., Bunton, R. W., et al. (2019) · Adipocyte · doi:10.1080/21623945.2019.1701387 · Cited by 74 · see citing works
Body circumferences: clinical implications emerging from a new geometric model
Heymsfield, S. B., Nguyen, A. M., Fong, T. M., Gallagher, D., & Pietrobelli, A. (2008) · Nutrition & Metabolism · doi:10.1186/1743-7075-5-24 · Cited by 72 · see citing works
Quantification of human body fat tissue percentage by MRI
Müller, H., Raudies, F., Unrath, A., Heiko Neumann, B., Ludolph, A. C., & Kassubek, J. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1549 · Cited by 69 · see citing works
Singh, D. K., Sakhuja, P., Malhotra, V., Gondal, R., & Sarin, S. K. (2007) · Digestive Diseases and Sciences · doi:10.1007/s10620-007-0074-0 · Cited by 67 · see citing works
Chin, K., Wong, S. K., Ekeuku, S. O., & Pang, K.-L. (2020) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s275560 · Cited by 64 · see citing works
Holdsworth, D., Chamley, R. R., Barker-Davies, R. M., O’Sullivan, O., Ladlow, P., Mitchell, J., Dewson, D., Mills, D. S., May, S., Cranley, M., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0267392 · Cited by 62 · see citing works
Age‐variability in Body Shape Associated With Excess Weight: The UK National Sizing Survey
Wells, J. C. K., Cole, T. J., & Treleaven, P. C. (2008) · Obesity · doi:10.1038/oby.2007.62 · Cited by 60 · see citing works
Accuracy of anthropometric measurements by general practitioners in overweight and obese patients
Sebo, P., Herrmann, F. R., & Haller, D. M. (2017) · BMC Obesity · doi:10.1186/s40608-017-0158-0 · Cited by 60 · see citing works
Metabolic Syndrome in a Workplace: Prevalence, Co-Morbidities, and Economic Impact
Schultz, A. B., & Edington, D. W. (2009) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2009.0008 · Cited by 60 · see citing works
Ricciardi, R., & Talbot, L. A. (2007) · Journal of the American Academy of Nurse Practitioners · doi:10.1111/j.1745-7599.2007.00220.x · Cited by 57 · see citing works
Zayed, K. N., Ahmed, M. D., Niekerk, R. L. V., & Ho, W. K. Y. (2018) · Cogent Psychology · doi:10.1080/23311908.2018.1430716 · Cited by 51 · see citing works
Abdominal obesity and prostate cancer risk: epidemiological evidence from the EPICAP study
Lavalette, C., Trétarre, B., Rébillard, X., Lamy, P., Cénée, S., & Menegaux, F. (2018) · Oncotarget · doi:10.18632/oncotarget.26128 · Cited by 51 · see citing works
Amin, F., Fatima, S. S., Islam, N., & Gilani, A. H. (2015) · BMC Obesity · doi:10.1186/s40608-015-0044-6 · Cited by 46 · see citing works
Huerta, J. M., Tormo, M.-J., Chirlaque, M., Gavrila, D., Amiano, P., Arriola, L., Ardanáz, E., Rodríguez, L., Sánchez, M., Méndez, M. A., et al. (2013) · BMC Endocrine Disorders · doi:10.1186/1472-6823-13-7 · Cited by 46 · see citing works
Visceral Obesity Predicts Fewer Lymph Node Metastases and Better Overall Survival in Colon Cancer
Park, S. W., Lee, H. L., Doo, E. Y., Lee, K. N., Jun, D. W., Lee, O. Y., Han, D. S., Yoon, B. C., Choi, H. S., & Lee, K. H. (2015) · Journal of Gastrointestinal Surgery · doi:10.1007/s11605-015-2834-z · Cited by 46 · see citing works
The relationship between varicoceles and obesity in a young adult population
Tsao, C., Hsu, C., Chou, Y., Wu, S., Sun, G., Yü, D., Fan, P., Chen, H., Chang, S., & Cha, T. (2009) · International Journal of Andrology · doi:10.1111/j.1365-2605.2008.00926.x · Cited by 45 · see citing works
Measuring obesity in the absence of a gold standard
O’Neill, D. (2015) · Economics & Human Biology · doi:10.1016/j.ehb.2015.02.002 · Cited by 45 · see citing works
Moderate and severe periodontitis are positively associated with metabolic syndrome
Gomes‐Filho, I. S., Balinha, I. D. S. C. E., da Cruz, S. S., Trindade, S. C., Cerqueira, E. D. M. M., Passos‐Soares, J. D. S., Coelho, J. M. F., Ladeia, A. M. T., Vianna, M. I. P., Hintz, A. M., et al. (2020) · Clinical Oral Investigations · doi:10.1007/s00784-020-03699-2 · Cited by 40 · see citing works
The Association Between Changes in Metabolic Syndrome and Changes in Cost in a Workplace Population
Schultz, A. B., & Edington, D. W. (2009) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0b013e3181a88da5 · Cited by 39 · see citing works
den Dekker, H. T., Ros, K. P. I., de Jongste, J. C., Reiss, I. K. M., Jaddoe, V. W. V., & Duijts, L. (2016) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2016.06.022 · Cited by 39 · see citing works
Aimo, A., Januzzi, J. L., Vergaro, G., Clerico, A., Latini, R., Meessen, J. M. T. A., Anand, I. S., Cohn, J. N., Gravning, J. A., Ueland, T., et al. (2019) · European Journal of Preventive Cardiology · doi:10.1177/2047487319852809 · Cited by 39 · see citing works
Ulbrich, E. J., Nanz, D., Leinhard, O. D., Marcon, M., & Fischer, M. A. (2017) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26676 · Cited by 38 · see citing works
Risk of obesity in immigrants compared with Swedes in two deprived neighbourhoods
Faskunger, J., Eriksson, U., Johansson, S., Sundquist, K., & Sundquist, J. (2009) · BMC Public Health · doi:10.1186/1471-2458-9-304 · Cited by 37 · see citing works
Waist to Height Ratio as a Predictor of Abdominal Fat Distribution in Men
Wu, H. (2009) · The Chinese Journal of Physiology · doi:10.4077/cjp.2009.amh064 · Cited by 36 · see citing works
Role of waist circumference in predicting the risk of high blood pressure in children
Kovacs, V. A., Gábor, A., Fajcsak, Z., & Martos, É. (2010) · International Journal of Pediatric Obesity · doi:10.3109/17477160903111771 · Cited by 34 · see citing works
Schütz, U. H. W., Billich, C., König, K., Würslin, C., Wiedelbach, H., Brambs, H., & Machann, J. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-122 · Cited by 33 · see citing works
Huang, H., Liao, D., Dong, Y. Q., & Pu, R. (2019) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s199830 · Cited by 32 · see citing works
Gomes‐Filho, I. S., Santos, P. N. P., Cruz, S. S., Figueiredo, A. C. M. G., Trindade, S. C., Ladeia, A. M., Cerqueira, E. M. M., Passos‐Soares, J. S., Coelho, J. M. F., Hintz, A. M., et al. (2021) · Journal of Periodontology · doi:10.1002/jper.21-0004 · Cited by 32 · see citing works
Predicting abdominal adipose tissue in overweight Latino youth
Ball, G. D. C., Huang, T. T. ‐., Cruz, M. L., Shaibi, G. Q., Weigensberg, M. J., & Goran, M. I. (2006) · International Journal of Pediatric Obesity · doi:10.1080/17477160600913578 · Cited by 32 · see citing works
Childhood Obesity Is a High-risk Factor for Hypertriglyceridemia: A Case-control Study in Vietnam
Hạnh, N. T. H., Tuyết, L. T., Đào, D. T. A., Tao, Y., & Chu, D. (2017) · Osong Public Health and Research Perspectives · doi:10.24171/j.phrp.2017.8.2.06 · Cited by 31 · see citing works
Almeida, N. S., Rocha, R., Cotrim, H. P., & Daltro, C. (2018) · World Journal of Hepatology · doi:10.4254/wjh.v10.i10.695 · Cited by 31 · see citing works
Szeto, C., Kost, K. M., Hanley, J. A., Roy, A., & Christou, N. V. (2010) · Otolaryngology · doi:10.1016/j.otohns.2010.03.007 · Cited by 31 · see citing works
Setiati, S., Istanti, R., Andayani, R., Kuswardhani, R. A. T., Aryana, I. G. P. S., Putu, I. D., Apandi, M., Ichwani, J., Soewoto, S., Dinda, R., et al. (2010) · PubMed · Cited by 31 · see citing works
Scafoglieri, A., Clarys, J. P., Cattrysse, E., & Bautmans, I. (2014) · PubMed Central · doi:10.14366/ad.2014.0500373 · Cited by 31 · see citing works
Identifying obesity indicators which best correlate with type 2 diabetes in a Chinese population
Zhong, X., Liu, C., Niu, W.-Y., Feng, J., Zhao, L., Ma, Y., Hua, L., & Yang, J. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-732 · Cited by 30 · see citing works
Fat oxidation over a range of exercise intensities: fitness versus fatness
Croci, I., Hickman, I. J., Wood, R. E., Borrani, F., Macdonald, G. A., & Byrne, N. M. (2014) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2014-0144 · Cited by 30 · see citing works
Association of Neck Circumference With Perioperative Adverse Respiratory Events in Children
Nafiu, O. O., Burke, C. N., Gupta, R., Christensen, R. E., Reynolds, P. I., & Malviya, S. V. (2011) · PEDIATRICS · doi:10.1542/peds.2010-2471 · Cited by 30 · see citing works
Özkaya, İ., & Tunçkale, A. (2016) · Central European Journal of Public Health · doi:10.21101/cejph.a4555 · Cited by 30 · see citing works
Park, S. K., Ryoo, J., Oh, C., Choi, J., & Jung, J. Y. (2018) · European Journal of Endocrinology · doi:10.1530/eje-17-0868 · Cited by 30 · see citing works
Rohin, M. A. K., Rozano, N., Hadi, N. A., Nor, M. N. M., Abdullah, S., & Venkateshaiah, M. D. (2013) · The Scientific World JOURNAL · doi:10.1155/2013/308041 · Cited by 30 · see citing works
Impact of body mass index on injury in abdominal stab wounds: implications for management
Bloom, M. B., Ley, E. J., Liou, D. Z., Tran, T. M., Chung, R., Melo, N., & Margulies, D. R. (2015) · Journal of Surgical Research · doi:10.1016/j.jss.2015.03.052 · Cited by 30 · see citing works
The Impact of Obesity on Inflammatory Bowel Disease
Kaazan, P., Seow, W., Yong, S., Heilbronn, L. K., & Segal, J. P. (2023) · Biomedicines · doi:10.3390/biomedicines11123256 · Cited by 32 · see citing works
Ehala-Aleksejev, K., & Punab, M. (2015) · Andrology · doi:10.1111/andr.12002 · Cited by 29 · see citing works
Liang, H., Chen, X., Chen, Q., Wang, Y., Wu, X., Li, Y., Pan, B., Liu, H., & Li, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074121 · Cited by 29 · see citing works
Zazai, R., Wilms, B., Ernst, B., Thurnheer, M., & Schultes, B. (2013) · Obesity Surgery · doi:10.1007/s11695-013-1141-6 · Cited by 28 · see citing works
Stegger, J. G., Schmidt, E. B., Obel, T., Berentzen, T. L., Tjønneland, A. M., Sørensen, T. I. A., & Overvad, K. (2011) · International Journal of Obesity · doi:10.1038/ijo.2010.278 · Cited by 28 · see citing works
Whole grains and adiposity: little association among British adults
Thane, C. W., Stephen, A. M., & Jebb, S. A. (2007) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602911 · Cited by 28 · see citing works
Periodontitis is a factor associated with dyslipidemia
Gomes‐Filho, I. S., Oliveira, M. T., da Cruz, S. S., Cerqueira, E. D. M. M., Trindade, S. C., Vieira, G. O., Souza, P. H. C., Adan, L., Hintz, A. M., Passos‐Soares, J. D. S., et al. (2021) · Oral Diseases · doi:10.1111/odi.13779 · Cited by 27 · see citing works
Lin, Y., Huybrechts, I., Vandevijvere, S., Bolca, S., Keyzer, W. D., Vriese, S. D., Polet, A., Neve, M. D., Oyen, H. J. V., Camp, J. V., et al. (2011) · British Journal Of Nutrition · doi:10.1017/s0007114510005088 · Cited by 27 · see citing works
Ferreira, A. A., Filho, Z. A. D. S., Gonçalves, M. J. F., dos Santos, J., & Pierin, Â. M. G. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182352 · Cited by 27 · see citing works
Odenigbo, U. M., Odenigbo, U., Oguejiofor, O., & Adogu, P. O. U. (2010) · Pakistan Journal of Nutrition · doi:10.3923/pjn.2011.15.18 · Cited by 26 · see citing works
Han, H. J., Jung, U. J., Kim, H.-J., Cho, S.-J., Kim, A. H., Han, Y., & Choi, M. (2016) · Journal of Medicinal Food · doi:10.1089/jmf.2015.3488 · Cited by 26 · see citing works
Chiba, I., Lee, S., Bae, S., Makino, K., Shinkai, Y., & Shimada, H. (2020) · The journal of nutrition health & aging · doi:10.1007/s12603-020-1330-7 · Cited by 26 · see citing works
Yu, R., Ho, S. C., Ho, S. S. Y., Woo, J., & Ahuja, A. T. (2007) · Menopause The Journal of The North American Menopause Society · doi:10.1097/gme.0b013e31806458c9 · Cited by 25 · see citing works
Mkhonto, S. S., Labadarios, D., & Mabaso, M. (2012) · BMC Research Notes · doi:10.1186/1756-0500-5-118 · Cited by 24 · see citing works
RetractedHukportie, D. N., Li, F., Zhou, R., Zheng, J., Wu, X., & Wu, X. (2022) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2021.0258 · Cited by 23 · see citing works
Sleep problems in adolescence and overweight/obesity in young adults: is there a causal link?
Fatima, Y., Doi, S. A. R., & Mamun, A. A. (2018) · Sleep Health · doi:10.1016/j.sleh.2018.01.002 · Cited by 21 · see citing works
Waist Circumference Might Be a Predictor of Primary Liver Cancer: A Population-Based Cohort Study
Wei, L., Li, N., Wang, G., Feng, X., Lyu, Z., Li, X., Wen, Y., Chen, Y., Chen, H., Chen, S., et al. (2018) · Frontiers in Oncology · doi:10.3389/fonc.2018.00607 · Cited by 22 · see citing works
Jiang, Y., Zhang, J., Yuan, Y., Zha, X., Xing, C., Shen, C., Shen, Z., Qin, C., Zeng, M., Yang, G., et al. (2016) · Scientific Reports · doi:10.1038/srep27918 · Cited by 22 · see citing works
Central Obesity and Elevated Liver Enzymes
Lam, G. M., & Mobarhan, S. (2004) · Nutrition Reviews · doi:10.1111/j.1753-4887.2004.tb00010.x · Cited by 22 · see citing works
Anthropometric indices in relation to overweight and obesity among Turkish medical students
Karakaş, P., & Bozkır, M. G. (2012) · Archives of Medical Science · doi:10.5114/aoms.2012.28546 · Cited by 21 · see citing works
Economic Costs of Abdominal Obesity
Højgaard, B., Olsen, K. R., Søggard, J., rensen, T. I. A. S. O., & Gyrd‐Hansen, D. (2008) · Obesity Facts · doi:10.1159/000137822 · Cited by 21 · see citing works
Predicting abdominal adipose tissue among women with familial partial lipodystrophy
JOY, T. R., Kennedy, B. A., Al-Attar, S. A., Rutt, B. K., & Hegele, R. A. (2009) · Metabolism · doi:10.1016/j.metabol.2009.03.001 · Cited by 21 · see citing works
Ambulatory Activity and Body Mass Index in White and Non-White Older Adults
Swartz, A. M., Strath, S. J., Parker, S., Miller, N. E., & Cieslik, L. J. (2007) · Journal of Physical Activity and Health · doi:10.1123/jpah.4.3.294 · Cited by 21 · see citing works
Deka, P., Pathak, D., Klompstra, L. V., Sempere‐Rubio, N., Querol‐Giner, F., & Marqués‐Sulé, E. (2021) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2021.05.034 · Cited by 20 · see citing works
Age-related changes in body composition among Turkana males of Kenya
Campbell, B., Gray, P. B., & Leslie, P. W. (2005) · American Journal of Human Biology · doi:10.1002/ajhb.20422 · Cited by 20 · see citing works
- Authors
- Chan, D. C.
- Affiliations
- The University of Western Australia (AU)
- Corresponding author
- Chan, D.C.
- ORCID
- Chan, D.C.
- Venue
- QJM
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-06-01
- Volume
- 96
- Issue
- 6
- Pages
- 441-447
- ISSN
- 0033-5622 (ISSN-L)
- 1460-2393
- OpenAlex
- W2167245895
- Cited by
- 266
- References
- 28
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 7 · 2023: 4 · 2022: 6 · 2021: 9 · 2020: 13 · 2019: 14 · 2018: 20 · 2017: 12 · 2016: 11 · 2015: 20 · 2014: 16 · 2013: 17 · 2012: 10
- FWCI
- 4.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- QJM (publishedVersion)
- PubMed (publishedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- Royal Perth Hospital Medical Research Foundation
- National Heart Foundation of Australia
- Raine Medical Research Foundation
- Medical Research Council
- National Health and Medical Research Council
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- waist circumference, waist-to-hip ratio, body mass index, body fat distribution, visceral adipose tissue, subcutaneous adipose tissue, retroperitoneal adipose tissue, abdominal fat, anthropometric predictors, men
- MeSH terms
- Abdomen, Adipose Tissue, Adult, Body Composition, Body Weights and Measures, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Body Mass Index
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