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Waist circumference action levels in the identification of cardiovascular risk factors: prevalence study in a random sample
Open accessAbstract
Objective: To determine the frequency of cardiovascular risk factors in people categorised by previously defined “action g126 levels” of waist circumference. Design: Prevalence study in a random population sample. Setting: Netherlands. Subjects: 2183 men and 2698 women aged 20-59 years selected at random from the civil registry of Amsterdam and Maastricht. Main outcome measures: Waist circumference, waist to hip ratio, body mass index (weight (kg)/height (m 2 )), total plasma cholesterol concentration, high density lipoprotein cholesterol concentration, blood pressure, age, and lifestyle. Results: A waist circumference exceeding 94 cm in men and 80 cm in women correctly identified subjects with body mass index of >/=25 and waist to hip ratios >/=0.95 in men and >/=0.80 in women with a sensitivity and specificity of >/=96%. Men and women with at least one cardiovascular risk factor (total cholesterol >/=6.5 mmol/l, high density lipoprotein cholesterol </=0.9 mmol/l, systolic blood pressure >/=160 mm Hg, diastolic blood pressure >/=95 mm Hg) were identified with sensitivities of 57% and 67% and specificities of 72% and 62% respectively. Compared with those with waist measurements below action levels, age and lifestyle adjusted odds ratios for having at least one risk factor were 2.2 (95% confidence interval 1.8 to 2.8) in men with a waist measurement of 94-102 cm and 1.6 (1.3 to 2.1) in women with a waist measurement of 80-88 cm. In men and women with larger waist measurements these age and lifestyle adjusted odds ratios were 4.6 (3.5 to 6.0) and 2.6 (2.0 to 3.2) respectively. Conclusions: Larger waist circumference identifies people at increased cardiovascular risks.
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Cites
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
Self-citationObesity, Fat Distribution, and Weight Gain as Risk Factors for Clinical Diabetes in Men
Chan, J. M., Rimm, E. B., Colditz, G. A., Stampfer, M. J., & Willett, W. C. (1994) · Diabetes Care · doi:10.2337/diacare.17.9.961 · Cited by 1,808
Cited by
Alberti, K. G. M. M., Zimmet, P., & Shaw, J. (2006) · Diabetic Medicine · doi:10.1111/j.1464-5491.2006.01858.x · Cited by 6,597
Kopelman, P. G. (2000) · Nature · doi:10.1038/35007508 · Cited by 4,795
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
Park, Y.-W., Zhu, S., Palaniappan, L., Heshka, S., Carnethon, M. R., & Heymsfield, S. B. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.4.427 · Cited by 2,074
(2002) · PubMed · Cited by 1,755
New Criteria for `Obesity Disease' in Japan
The Examination Committee of Criter (2002) · Circulation Journal · doi:10.1253/circj.66.987 · Cited by 1,650
Browning, L. M., Hsieh, S. D., & Ashwell, M. (2010) · Nutrition Research Reviews · doi:10.1017/s0954422410000144 · Cited by 1,400
Second Joint Task Force of European (1998) · European Heart Journal · doi:10.1053/euhj.1998.1243 · Cited by 1,131
de Koning, L., Merchant, A. T., Pogue, J., & Anand, S. S. (2007) · European Heart Journal · doi:10.1093/eurheartj/ehm026 · Cited by 1,073
Laaksonen, D. E. (2002) · American Journal of Epidemiology · doi:10.1093/aje/kwf145 · Cited by 916
Appropriate waist circumference cutoff points for central obesity in Korean adults
Lee, S. Y., Park, H. S., Kim, D. J., Han, J. H., Kim, S. M., Cho, G. J., Kim, D. Y., Kwon, H. S., Kim, S. R., Lee, C. B., et al. (2007) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2006.04.013 · Cited by 904
Rössner, S., Sjöström, L., Noack, R., Meinders, A. E., Noseda, G., & Study, O. B. O. T. E. O. O. (2000) · Obesity Research · doi:10.1038/oby.2000.8 · Cited by 476
Canoy, D., Boekholdt, S. M., Wareham, N., Luben, R., Welch, A., Bingham, S., Buchan, I., Day, N., & Khaw, K.-T. (2007) · Circulation · doi:10.1161/circulationaha.106.673756 · Cited by 472
Visscher, T., Seidell, J., Molarius, A., van der Kuip, D., Hofman, A., & Witteman, J. (2001) · International Journal of Obesity · doi:10.1038/sj.ijo.0801787 · Cited by 434
Self-citationThe 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
Obesity trajectories and risk of dementia: 28 years of follow-up in the Whitehall II study
Singh‐Manoux, A., Dugravot, A., Shipley, M., Brunner, E. J., Elbaz, A., Sabia, S., & Kivimaki, M. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.06.2637 · Cited by 401
Obesity and inflammation: the effects of weight loss
Forsythe, L. K., Wallace, J. M. W., & Livingstone, M. B. E. (2008) · Nutrition Research Reviews · doi:10.1017/s0954422408138732 · Cited by 381
Misra, A., Vikram, N. K., Gupta, R., Pandey, R. M., Wasir, J. S., & Gupta, V. P. (2006) · International Journal of Obesity · doi:10.1038/sj.ijo.0803111 · Cited by 332
Harris, L., Hamilton, S., Azevedo, L. B., Olajide, J., De Brún, C., Waller, G., Whittaker, V., Sharp, T., Lean, M., Hankey, C., et al. (2018) · JBI Database of Systematic Reviews and Implementation Reports · doi:10.11124/jbisrir-2016-003248 · Cited by 319
“These results are promising as reductions in waist circumference or central fat distribution reduce cardiovascular risk.(30) The reduction in waist circumference may partially explain the decrease in fasting insulin, although this is also likely to be associated with the periods of acute energy restriction, particular…”
BackgroundResultSelf-citationInfluence of body fat content and distribution on variation in metabolic risk
Vega, G. L., Adams-Huet, B., Peshock, R., Willett, D., Shah, B., & Grundy, S. M. (2006) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2006-0814 · Cited by 312
Okosun, I. S., Liao, Y., Rotimi, C. N., Prewitt, T. E., & Cooper, R. S. (2000) · Annals of Epidemiology · doi:10.1016/s1047-2797(00)00045-4 · Cited by 193
Waller, K., Kaprio, J., & Kujala, U. M. (2008) · International Journal of Obesity · doi:10.1038/sj.ijo.0803692 · Cited by 185
Lord, J., Thomas, R., Fox, B., Acharya, U., & Wilkin, T. (2006) · BJOG: An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.2006.00973.x · Cited by 158
Ioachimescu, A. G., Brennan, D. M., Hoar, B. M., & Hoogwerf, B. J. (2010) · Obesity · doi:10.1038/oby.2009.453 · Cited by 147
Effect of weight change on natural history of pelvic organ prolapse
Kudish, B. I., Iglesia, C. B., Sokol, R. J., Cochrane, B., Richter, H. E., Larson, J., Hendrix, S. L., & Howard, B. V. (2009) · Obstetrics & Gynecology · doi:10.1097/aog.0b013e318190a0dd · Cited by 140
Nordhamn, K., Södergren, E., Olsson, E., Karlström, B., Vessby, B., & Berglund, L. (2000) · International Journal of Obesity · doi:10.1038/sj.ijo.0801216 · Cited by 131
Accuracy of self-reported waist and hip measurements in 4492 EPIC-Oxford participants
Spencer, E. A., Roddam, A. W., & Key, T. J. (2004) · Public Health Nutrition · doi:10.1079/phn2004600 · Cited by 109
Risk factors for prolapse development in white, black, and Hispanic women
Kudish, B. I., Iglesia, C. B., Gutman, R. E., Sokol, A. I., Rodgers, A. K., Gass, M., O'Sullivan, M. J., Larson, J., Abu-Sitta, M., & Howard, B. V. (2011) · Female Pelvic Medicine & Reconstructive Surgery · doi:10.1097/spv.0b013e31820e5d06 · Cited by 63
Body composition and overweight of liver transplant recipients
Anastácio, L. R., Ferreira, L. G., de Sena Ribeiro, H., Lima, A. S., Garcia Vilela, E., & Toulson Davisson Correia, M. I. (2011) · Transplantation · doi:10.1097/tp.0b013e31822e0bee · Cited by 54
Sonmez, A., Bayram, F., Barcin, C., Ozsan, M., Kaya, A., & Gedik, V. (2013) · International Journal of Endocrinology · doi:10.1155/2013/767202 · Cited by 30
Impaired handgrip exercise-induced brachial artery flow-mediated dilation in young obese males
Slattery, D. J., Stuckless, T. J. R., King, T. J., & Pyke, K. E. (2016) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2015-0459 · Cited by 22
Mersebach, H., Svendsen, O. L., Holst, J. J., Astrup, A., & Feldt‐Rasmussen, U. (2003) · Clinical Endocrinology · doi:10.1046/j.1365-2265.2003.01675.x · Cited by 22
(2012) · Australasian Journal on Ageing · doi:10.1111/j.1741-6612.2012.00652.x · Cited by 17
Correction of Hypothyroidism Seems to Have No Effect on Body Fat
Bakiner, O., Bozkirli, E., Ersozlu Bozkirli, E. D., & Ozsahin, K. (2013) · International Journal of Endocrinology · doi:10.1155/2013/576794 · Cited by 14
Carvalho, V. C. H. D. S., Moreira, L. B., Luft, V. C., & Fuchs, S. C. (2023) · Healthcare · doi:10.3390/healthcare11172406 · Cited by 10
Metadata
- Authors
- Han, T. S., van Leer, E. M., Seidell, J. C., & Lean, M. E. J.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 1995-11-25
- Volume
- 311
- Issue
- 7017
- Pages
- 1401-1405
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- OpenAlex
- W2015605491
- Cited by
- 976
- References
- 2
- FWCI
- 6.90
- Type
- journal article
- Language
- en
- Open access
- green
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