Cited by 266Body Composition Measurement TechniquesCardiovascular Disease and AdiposityDiabetes, Cardiovascular Risks, and Lipoproteins

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Waist circumference, waist-to-hip ratio and body mass index as predictors of adipose tissue compartments in men

Chan, D.C.·2003·QJM

DOI 10.1093/qjmed/hcg069

Open this paper in CoChat — free account

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.

Integrity signals

Registry

Crossref · 10.1093/qjmed/hcg069

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Obesity and insulin resistance
Kahn, B. B., & Flier, J. S. (2000) · Journal of Clinical Investigation · doi:10.1172/jci10842 · Cited by 3,345
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
Waist circumference and abdominal sagittal diameter: Best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women
Pouliot, M., Després, J., Lemieux, S., Moorjani, S., Bouchard, C., Tremblay, A., Nadeau, A., & Lupien, P. J. (1994) · The American Journal of Cardiology · doi:10.1016/0002-9149(94)90676-9 · Cited by 2,099
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
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
Distribution of adipose tissue and risk of cardiovascular disease and death: a 12 year follow up of participants in the population study of women in Gothenburg, Sweden.
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
Insulin resistance and cardiovascular disease
Ginsberg, H. N. (2000) · Journal of Clinical Investigation · doi:10.1172/jci10762 · Cited by 1,372
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
The Influence of Body Fat Distribution on the Incidence of Diabetes Mellitus: 13.5 Years of Follow-up of the Participants in the Study of Men Born in 1913
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
"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

Show all 28 references

Sorted by citations

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
Waist circumference and cardiometabolic risk: a consensus statement from Shaping America’s Health: Association for Weight Management and Obesity Prevention; NAASO, The Obesity Society; the American Society for Nutrition; and the American Diabetes Association
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 577
The impact of body mass index on semen parameters and reproductive hormones in human males: a systematic review with meta-analysis
MacDonald, A. A., Herbison, P., Showell, M. G., & Farquhar, C. M. (2009) · Human Reproduction Update · doi:10.1093/humupd/dmp047 · Cited by 539
Impact of Abdominal Visceral and Subcutaneous Adipose Tissue on Cardiometabolic Risk Factors: The Jackson Heart Study
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 534
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 402
Waist Circumference and Cardiometabolic Risk: A Consensus Statement from Shaping America's Health: Association for Weight Management and Obesity Prevention; NAASO, The Obesity Society; the American Society for Nutrition; and the American Diabetes Association
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 400
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
“Similarly, waist circumference, also measured with a tape measure, assesses abdominal fat, with elevated values associated with a higher risk of metabolic diseases [69].”
Background
Role 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
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 305
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
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
Standardizing the experimental conditions for using urine in NMR-based metabolomic studies with a particular focus on diagnostic studies: a review
Emwas, A.-H. M., Luchinat, C., Turano, P., Tenori, L., Roy, R., Salek, R. M., Ryan, D., Merzaban, J. S., Kaddurah‐Daouk, R., Zeri, A. C. D. M., et al. (2014) · Metabolomics · doi:10.1007/s11306-014-0746-7 · Cited by 250
The Association Between Perceived Discrimination and Obesity in a Population-Based Multiracial and Multiethnic Adult Sample
Hunte, H. E. R., & Williams, D. R. (2008) · American Journal of Public Health · doi:10.2105/ajph.2007.128090 · Cited by 202
Associations between long-term physical activity, waist circumference and weight gain: a 30-year longitudinal twin study
Waller, K., Kaprio, J., & Kujala, U. M. (2008) · International Journal of Obesity · doi:10.1038/sj.ijo.0803692 · Cited by 185
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
Body mass index, waist circumference, and risk of coronary heart disease: A prospective study among men and women
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
Neck circumference as a useful marker of obesity: a comparison with body mass index and waist circumference.
Hingorjo, M. R., Qureshi, M. A., & Mehdi, A. (2012) · PubMed · Cited by 136
Prevalence of Metabolic Syndrome and Its Association with Erectile Dysfunction Among Urologic Patients: Metabolic Backgrounds of Erectile Dysfunction
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
Inflammatory biomarkers, physical activity, waist circumference, and risk of future coronary heart disease in healthy men and women
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
Body mass index and blood glucose: correlations with serum insulin, growth hormone, and insulin-like growth factor-1 levels in patients with diffuse idiopathic skeletal hyperostosis (DISH)
Denko, C. W., & Malemud, C. J. (2005) · Rheumatology International · doi:10.1007/s00296-005-0588-8 · Cited by 104
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
An Open-Label Pilot Study to Assess the Efficacy and Safety of Virgin Coconut Oil in Reducing Visceral Adiposity
Liau, K. M., Lee, Y. Y., Chen, C. K., & Rasool, A. H. G. (2011) · ISRN Pharmacology · doi:10.5402/2011/949686 · Cited by 106
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
Superiority of skinfold measurements and waist over waist-to-hip ratio for determination of body fat distribution in a population-based cohort of Caucasian Dutch adults
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
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 101
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
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
Adiposity and tendinopathy
Gaida, J. E., Cook, J. L., & Bass, S. L. (2008) · Disability and Rehabilitation · doi:10.1080/09638280701786864 · Cited by 89
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 91
Clinical, Anthropometric and Upper Airway Anatomic Characteristics of Obese Patients with Obstructive Sleep Apnea Syndrome
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 81
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
Automatic quantification of subcutaneous and visceral adipose tissue from whole‐body magnetic resonance images suitable for large cohort studies
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
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
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
Relationship between epicardial adipose tissue thickness and epicardial adipocyte size with increasing body mass index
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 79
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
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 72
Independent Predictors of Steatohepatitis and Fibrosis in Asian Indian Patients with Non-Alcoholic Steatohepatitis
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
Relationship Between Metabolic Syndrome and Bone Health – An Evaluation of Epidemiological Studies and Mechanisms Involved
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
Comprehensive clinical assessment identifies specific neurocognitive deficits in working-age patients with long-COVID
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 64
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
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
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
Use of bioelectrical impedance analysis in the evaluation, treatment, and prevention of overweight and obesity
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
The mediating role of exercise behaviour on satisfaction with life, mental well-being and BMI among university employees
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
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 56
Prevalence of obesity and overweight, its clinical markers and associated factors in a high risk South-Asian population
Amin, F., Fatima, S. S., Islam, N., & Gilani, A. H. (2015) · BMC Obesity · doi:10.1186/s40608-015-0044-6 · Cited by 48
Risk of type 2 diabetes according to traditional and emerging anthropometric indices in Spain, a Mediterranean country with high prevalence of obesity: results from a large-scale prospective cohort study
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 52
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 47
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
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
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
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 40
Body fat mass distribution and interrupter resistance, fractional exhaled nitric oxide, and asthma at school-age
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
Revisiting the obesity paradox in heart failure: Per cent body fat as predictor of biomarkers and outcome
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
Whole‐body adipose tissue and lean muscle volumes and their distribution across gender and age: MR‐derived normative values in a normal‐weight Swiss population
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
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
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 35
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
Characteristics, changes and influence of body composition during a 4486 km transcontinental ultramarathon: results from the Transeurope Footrace mobile whole body MRI-project
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
Clinical effectiveness of quercetin supplementation in the management of weight loss: a pooled analysis of randomized controlled trials
Huang, H., Liao, D., Dong, Y. Q., & Pu, R. (2019) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s199830 · Cited by 32
Periodontitis and its higher levels of severity are associated with the triglyceride/high density lipoprotein cholesterol ratio
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
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
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
Anthropometric indicators of visceral adiposity as predictors of non-alcoholic fatty liver disease: A review
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
A simple method to predict pretracheal tissue thickness to prevent accidental decannulation in the obese
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
Cut-off of anthropometry measurement and nutritional status among elderly outpatient in Indonesia: multi-centre study.
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
Use of anthropometry for the prediction of regional body tissue distribution in adults: benefits and limitations in clinical practice.
Scafoglieri, A., Clarys, J. P., Cattrysse, E., & Bautmans, I. (2014) · PubMed Central · doi:10.14366/ad.2014.0500373 · Cited by 36
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
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
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
Neck Circumference Positively Related with Central Obesity and Overweight in Turkish University Students: A Preliminary Study
Özkaya, İ., & Tunçkale, A. (2016) · Central European Journal of Public Health · doi:10.21101/cejph.a4555 · Cited by 30
Longitudinally evaluated the relationship between body fat percentage and the risk for type 2 diabetes mellitus: Korean Genome and Epidemiology Study (KoGES)
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
Anthropometry and Body Composition Status during Ramadan among Higher Institution Learning Centre Staffs with Different Body Weight Status
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
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
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
The different surrogate measures of adiposity in relation to semen quality and serum reproductive hormone levels among Estonian fertile men
Ehala-Aleksejev, K., & Punab, M. (2015) · Andrology · doi:10.1111/andr.12002 · Cited by 29
The Metabolic Syndrome among Postmenopausal Women in Rural Canton: Prevalence, Associated Factors, and the Optimal Obesity and Atherogenic Indices
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
Waist Circumference and Related Anthropometric Indices Are Associated with Metabolic Traits in Severely Obese Subjects
Zazai, R., Wilms, B., Ernst, B., Thurnheer, M., & Schultes, B. (2013) · Obesity Surgery · doi:10.1007/s11695-013-1141-6 · Cited by 28
Body composition and body fat distribution in relation to later risk of acute myocardial infarction: a Danish follow-up study
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
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
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
Fibre intake among the Belgian population by sex–age and sex–education groups and its association with BMI and waist circumference
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
Relationship between alcohol drinking and arterial hypertension in indigenous people of the Mura ethnics, Brazil
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
Relationship of Waist Circumference, Waist Hip Ratio and Body Mass Index as Predictors of Obesity in Adult Nigerians
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
Combined Supplementation with Grape Pomace and Omija Fruit Ethanol Extracts Dose-Dependently Improves Body Composition, Plasma Lipid Profiles, Inflammatory Status, and Antioxidant Capacity in Overweight and Obese Subjects
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
Visceral Fat Accumulation is Associated with Mild Cognitive Impairment in Community-Dwelling Older Japanese Women
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
Association of general and abdominal obesities and metabolic syndrome with subclinical atherosclerosis in asymptomatic Chinese postmenopausal women
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
Association of body weight and physical activity with blood pressure in a rural population in the Dikgale village of Limpopo Province in South Africa
Mkhonto, S. S., Labadarios, D., & Mabaso, M. (2012) · BMC Research Notes · doi:10.1186/1756-0500-5-118 · Cited by 24
Retracted
Waist Circumference and Body Mass Index Variability and Incident Diabetic Microvascular Complications: A Post Hoc Analysis of ACCORD Trial
Hukportie, 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
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
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
Association of Increased Serum Leptin with Ameliorated Anemia and Malnutrition in Stage 5 Chronic Kidney Disease Patients after Parathyroidectomy
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
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
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
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
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
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
High-Intensity Interval and Resistance Training Improve Health Outcomes in Older Adults With Coronary Disease
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 26
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

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
DOI: 10.1093/qjmed/hcg069
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 (medical) › 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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Waist circumference, waist-to-hip ratio and body mass index as predictors of adipose tissue compartments in men

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks