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Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women. The Nurses’ Health Study
Abstract
Obesity is an established risk factor for non-insulin-dependent diabetes mellitus (NIDDM). Anthropometric measures of overall and central obesity as predictors of NIDDM risk have not been as well studied, especially in women. Among 43,581 women enrolled in the Nurses' Health Study who in 1986 provided waist, hip, and weight information and who were initially free from diabetes and other major chronic diseases, NIDDM incidence was followed from 1986 to 1994. After adjustment for age, family history of diabetes, smoking, exercise, and several dietary factors, the relative risk of NIDDM for the 90th percentile of body mass index (BMI) (weight (kg)/height (m)2) (BMI = 29.9) versus the 10th percentile (BMI = 20.1) was 11.2 (95% confidence interval (CI) 7.9-15.9). Controlling for BMI and other potentially confounding factors, the relative risk for the 90th percentile of waist: hip ratio (WHR) (WHR = 0.86) versus the 10th percentile (WHR = 0.70) was 3.1 (95% CI 2.3-4.1), and the relative risk for the 90th percentile of waist circumference (36.2 inches or 92 cm) versus the 10th percentile (26.2 inches or 67 cm) was 5.1 (95% CI 2.9-8.9). BMI, WHR, and waist circumference are powerful independent predictors of NIDDM in US women. Measurement of BMI and waist circumference (with or without hip circumference) are potentially useful tools for clinicians in counseling patients regarding NIDDM risk and risk reduction.
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“a depot associated with metabolic dysfunction that is enlarged in individuals with T2D (34,35).”
From A Lower-Carbohydrate, Higher-Fat Diet Reduces Abdominal and Intermuscular Fat and Increases Insulin Sensitivity in Adults at Risk of Type 2 Diabetes (2015) · cites this paper as [34]
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Circunferencia de la cintura y riesgo cardiovascular y metabólico
Formiguera, X. (2005) · Medicina Clínica · doi:10.1157/13076476 · Cited by 4
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López-Jiménez, F. A., & Sochor, O. (2014) · Revista Española de Cardiología (English Edition) · doi:10.1016/j.rec.2014.01.011 · Cited by 4
Boyraz, L., Bilge, U., nalacak, M., et al. (2016) · Biomedical Research-tokyo · Cited by 4
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Luong, Q. V., & Lee, K. Y. (2018) · InTech eBooks · doi:10.5772/intechopen.76898 · Cited by 5
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Ley, S. H., & Meigs, J. B. (2018) · Endocrinology · doi:10.1007/978-3-319-45015-5_5 · Cited by 7
Dixit, J. V., Giri, P. A., & Badgujar, S. Y. (2022) · Journal of Family Medicine and Primary Care · doi:10.4103/jfmpc.jfmpc_129_22 · Cited by 7
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Kim, G. L., Hwang, H. R., Kim, Y. J., Lee, S. Y., Lee, J. G., Jeong, D. W., Yi, Y. H., Tak, Y. J., Lee, S. H., & Park, A.-H. (2018) · Korean Journal of Family Medicine · doi:10.4082/kjfm.17.0045 · Cited by 4
Wang, S. (2009) · Open Scholarship Institutional Repository (Washington University in St. Louis) · doi:10.7936/k7dz06c1 · Cited by 4
Prevention of type 2 diabetes.
Lai, L. C. (2002) · PubMed · Cited by 4
Ordered Stratification to Reduce Heterogeneity in Linkage to Diabetes‐related Quantitative Traits
Meigs, J. B., Manning, A. K., Dupuis, J., Liu, C., Florez, J. C., & Cupples, L. A. (2008) · Obesity · doi:10.1038/oby.2008.354 · Cited by 4
Watanabe, Y., Eto, T., Taniguchi, S., & Terauchi, Y. (2016) · Internal Medicine · doi:10.2169/internalmedicine.55.6583 · Cited by 4
Change in women's body mass index and waist circumference, 1997 to 2002: The Nepean Study
Shrewsbury, V. A., Garnett, S. P., Cowell, C. T. C. T., et al. (2005) · Australian and New Zealand Journal of Public Health · doi:10.1111/j.1467-842x.2005.tb00071.x · Cited by 4
Azzam, A. Y., Morsy, M. M., Ellabban, M. H., Morsy, A. M., Zahran, A. A., Nassar, M., Elsayed, O. S., Elswedy, A., Elamin, O., Zomia, A. S. A., et al. (2024) · medRxiv · doi:10.1101/2024.10.20.24315837 · Cited by 4
Azzam, A. Y., Morsy, M. M., Ellabban, M. H., Morsy, A. M., Zahran, A. A., Nassar, M., Elsayed, O. S., Elswedy, A., Elamin, O., Zomia, A. S. A., et al. (2024) · ASIDE Internal Medicine · doi:10.71079/h1fr8h68 · Cited by 3
Padhye, S. M. (2017) · Journal of Nepal Medical Association · doi:10.31729/jnma.3319 · Cited by 3
Siddiqui, R., Mirza, E. H., Javed, R., & Alqahtani, M. (2022) · Current Medical Imaging Formerly Current Medical Imaging Reviews · doi:10.2174/1573405618666220805101527 · Cited by 3
A study on body mass index and its correlation with type 2 diabetes
Jain, S., Gupta, R., Gupta, D., & Jain, M. (2014) · International Journal of Research in Medical Sciences · doi:10.5455/2320-6012.ijrms20141173 · Cited by 3
BMI, Waist Circumference, and Metabolic Syndrome: Lessons from Japanese Perspectives
Sakurai, M., Ota, T., Miura, K., Nakagawa, H., Kaneko, S., & Takamura, T. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1788-1_121 · Cited by 3
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López-Jiménez, F. A., & Sochor, O. (2014) · Revista Española de Cardiología · doi:10.1016/j.recesp.2014.01.012 · Cited by 3
Waist Circumference and Metabolic Syndrome: A Review
Marjani, A. (2014) · Annual Research & Review in Biology · doi:10.9734/arrb/2014/6811 · Cited by 3
Tratamiento quirúrgico de la obesidad: recomendaciones prácticas basadas en la evidencia
Morales, M. J., Díaz-Fernández, M. J., Caixàs, A., Goday, A., Moreiro, J., Arrizabalaga, J. J., Calañas-Continente, A., Cuatrecasas, G., García‐Luna, P. P., Masmiquel, L., et al. (2008) · Endocrinología y Nutrición · doi:10.1016/s1575-0922(08)76398-8 · Cited by 3
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Aujla, N., Stone, M. A., Taub, N. A., Davies, M. J., & Khunti, K. (2013) · Primary care diabetes · doi:10.1016/j.pcd.2013.08.002 · Cited by 4
Bays, H. E., Mandarino, L. J., & DeFronzo, R. A. (2004) · Cited by 3
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Grills, N. (2011) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.2011.tb03032.x · Cited by 3
Gentile, P., Sarlo, F., Angelis, B. D., LORENZO, A. D., & Cervelli, V. (2016) · Advanced Biomedical Research · doi:10.4103/2277-9175.187396 · Cited by 3
Damayati, R. P., Roosita, K., & Sulaeman, A. (2018) · Jurnal Gizi dan Pangan · doi:10.25182/jgp.2018.13.3.137-144 · Cited by 4
Conte, C. (2021) · Springer eBooks · doi:10.1007/978-3-030-80267-7_7 · Cited by 4
Determinants of relative weight and body fat distribution in an international perspective
Molarius, A. (1999) · RePub (Erasmus University Rotterdam) · Cited by 3
All's Fair... but Not in Diabetes Women's Unique Vulnerability: Part I
Finn, S. C. (1998) · Journal of Women s Health · doi:10.1089/jwh.1998.7.167 · Cited by 2
Diabetes mellitus and macrovascular disease: epidemiology and cardiovascular risk assessment
Fan, W., & Wong, N. D. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-99991-5.00011-5 · Cited by 2
Xu, L., Ma, J., Li, D., Yang, X., Wang, X., Liu, J., & Xu, Y. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112980 · Cited by 2
Paisey, R., Daniels, C., Howitt, W., Greatorex, D., Campbell, C., Paisey, R., Paisey, R., Frost, J. D., & Bromige, R. (2022) · BMJ Nutrition Prevention & Health · doi:10.1136/bmjnph-2021-000363 · Cited by 3
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Miklishanskaya, S. V., Solomasova, L. V., & Mazur, N. A. (2021) · Obesity Medicine · doi:10.1016/j.obmed.2021.100350 · Cited by 2
Melesse, D. Y., Halli, S. S., & TATE, R. B. (2015) · Canadian Journal of Public Health · doi:10.17269/cjph.106.4641 · Cited by 2
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Capes, S. E. (2007) · Humana Press eBooks · doi:10.1007/978-1-59745-008-9_19 · Cited by 2
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Hossain, M., Kabir, G., Hasan, N., Faruque, O. M., Sikdar, D., Alauddin, M., & Ali, L. (2009) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2009.04.007 · Cited by 2
Outpatient management of type 2 diabetic patients: a review of evidence-based literature.
AlFaris, E., Amin, H. S., & Al-Rukban, M. O. (2006) · PubMed · Cited by 2
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Okosun, I. S., & Ghogomu, T. A. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1788-1_128 · Cited by 2
Hr, A. M., & Azizi, F. (2009) · Journal of Diabetes & Metabolic Disorders · Cited by 2
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Svendstrup, M., Sandholt, C. H., Galijatovic, E. A. A., Linneberg, A. R., Jørgensen, T., Sørensen, T. I. A., Pedersen, O. B., Grarup, N., Hansen, T. F., & Vestergaard, H. (2016) · Obesity · doi:10.1002/oby.21473 · Cited by 2
Fatouros, I. G., & Mitrakou, A. (2012) · CRC Press eBooks · doi:10.1201/b12085-16 · Cited by 2
Kopiczko, A., & Bogucka, A. (2018) · Biomedical Human Kinetics · doi:10.1515/bhk-2018-0007 · Cited by 2
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BackgroundOrdemann, J., Elbelt, U., Stengel, A., & Hofmann, T. (2017) · Springer eBooks · doi:10.1007/978-3-662-48698-6_1 · Cited by 2
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Mahmud, I. A., & Al-Domi, H. A. (2014) · Jordan Journal of Agricultural Sciences · Cited by 3
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Kataja-Tuomola, M. (2011) · Työväentutkimus Vuosikirja · Cited by 2
The escalating diabetes epidemic: determinants of prevalence disparity between country income groups
Wefuan, F. K. (2013) · NORA - Norwegian Open Research Archives · Cited by 2
de l’Inserm, G. D. C. (2007) · Obésité · doi:10.1007/s11690-007-0028-x · Cited by 2
Metabolic Effects of Abdominal Fats in Animal Models and Humans
Masternak, M. M. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-407869-7.00027-1 · Cited by 1
Powell, R. O. (2014) · D-Scholarship@Pitt (University of Pittsburgh) · Cited by 1
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Esefeld, K., Halle, M., & Blair, S. N. (2011) · Der Diabetologe · doi:10.1007/s11428-010-0614-7 · Cited by 1
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den Engelsen, C., Salomé, P., & Rutten, G. E. H. M. (2014) · Huisarts en Wetenschap · doi:10.1007/s12445-014-0092-z · Cited by 1
Two-Stage Evaluation for Selecting Individuals for Chronic Disease Lifestyle Guidance
Hori, S., Takahashi, T., & Kitagawa, Y. (2008) · Health Evaluation and Promotion · doi:10.7143/jhep.35.416 · Cited by 1
Metabolic Syndrome: A Construct with Limited Relevance to Children
Marlatt, K. L., & Steinberger, J. (2014) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-014-0402-9 · Cited by 1
Lerman, A., Quyyumi, A. A., Rogers, W. J., Wessel, T. R., Arant, C. B., Pohost, G. M., Kelsey, S. F., Olson, M. B., Johnson, B. D., Mankad, S. V., et al. (2007) · Cited by 1
Golden, S. H., Hsu, H.-C., Astor, B. C., Malhotra, S., Wand, G. S., & Wasserman, B. A. (2013) · The Open Obesity Journal · doi:10.2174/1876823701305010005 · Cited by 1
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Barak, S. (2009) · Cited by 1
Kohl, A., & Pfeiffer, A. F. H. (2007) · Der Diabetologe · doi:10.1007/s11428-006-0106-y · Cited by 1
Yamada, C., Kondo, M., Oroguchi, T., Ebihara, A., Shibata, T., NAGAI, Y., Imanishi, T., Ishii, N., & Nishizaki, Y. (2014) · Health Evaluation and Promotion · doi:10.7143/jhep.41.518 · Cited by 1
Saadati, H., Lotfi, M. H., & Ardakani, M. A. (2013) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 1
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Yasukawa, T., & Katsuragi, Y. (2004) · AOCS Publishing eBooks · doi:10.1201/9781439822333.ch1 · Cited by 1
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Sailors, M. H., & Bray, M. S. (2011) · Humana Press eBooks · doi:10.1007/978-1-60761-355-8_5 · Cited by 1
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BackgroundCathorall, M. L., Xin, H., Aronson, R. E., Peachey, A. A., Bibeau, D. L., Schulz, M. R., & Dave, G. (2015) · Health Culture and Society · doi:10.5195/hcs.2015.184 · Cited by 1
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Istfan, N. W., & Anderson, W. (2006) · CRC series in modern nutrition science · doi:10.1201/9781420004649.ch2 · Cited by 1
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Akinlade, K. S., Habila, K. G., Rahamon, S. K., et al. (2017) · Nigerian Journal of Clinical Practice · doi:10.4103/njcp.njcp_173_15 · Cited by 1
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Lahera, V. (2018) · Clínica e Investigación en Arteriosclerosis (English Edition) · doi:10.1016/j.artere.2018.05.001 · Cited by 1
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Hejazi, N., & Rajikan, R. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-800769-3.00002-0 · Cited by 1
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Khunti, K. K. (2006) · Practical Diabetes · doi:10.1002/pdi.990 · Cited by 1
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Clément, K. (2010) · Wiley eBooks · doi:10.1002/9783527629527.ch14 · Cited by 1
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Corsica, J. A., & Perri, M. G. (2012) · Handbook of Psychology, Second Edition · doi:10.1002/9781118133880.hop209006 · Cited by 1
Adipocyte Development and Experimental Obesity
ISGANAITIS, E. M., & Patti, M. (2010) · Endocrine updates · doi:10.1007/978-1-4419-7034-3_16 · Cited by 1
Dietary factors and type 2 diabetes mellitus in urban Saudi adults
Al-Khudairy, L. (2026) · Warwick Research Archive Portal (University of Warwick) · doi:10.82444/warw.33651487 · Cited by 1
Setayeshgar, Z. (2014) · University Library - University of Saskatchewan (University of Saskatchewan) · Cited by 1
Practical management of obesity in primary care
Hilll, J. (2005) · British Journal of Nursing · doi:10.12968/bjon.2005.14.17.19749 · Cited by 1
Bonora, E., Brangani, C., & Pichiri, I. (2008) · Giornale italiano di cardiologia · doi:10.1714/669.7812 · Cited by 1
Moebus, S., Ju, H., Lösch, C., et al. (2008) · Journal für Kardiologie (Krause & Pachernegg GmbH) · Cited by 1
Eviö, S. (2006) · Työväentutkimus Vuosikirja · Cited by 1
ADIPOCYTE-DERIVED HORMONES AND CARDIOVASCULAR DISEASE
Eriksson, M. (2010) · DiVA at Umeå University (Umeå University) · Cited by 1
Multimorbidität in der EPIC-Potsdam Studie
Schienkiewitz, A. (2007) · DepositOnce · doi:10.14279/depositonce-1629 · Cited by 1
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BackgroundThe Impact of Obesity on Cardiometabolic Risk
Aronne, L. J. (2007) · JAAPA · doi:10.1097/01720610-200711000-00003 · Cited by 1
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BackgroundExercise and Insulin Resistance
Frank, L. L. (2005) · Nutrition and disease prevention · doi:10.1201/9781420026641.ch8 · Cited by 1
Hormone replacement therapy and diabetes
Kaplan, B., Hirsch, M., & Feldberg, D. (2008) · Series in maternal-fetal medicine · doi:10.3109/9781439802007.060 · Cited by 1
Chuengsamarn, S., & Rattanamongkoulgul, S. (2010) · PubMed · Cited by 1
C/EBPβ regulates hypertrophic versus hyperplastic fat tissue growthPreprint
Müller, C., Zidek, L. M., Eichwald, S., & Calkhoven, C. F. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.02.278911 · Cited by 1
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BackgroundEFFECTS OF INHALED GLUCOCORTICOIDS ON BONE DENSITY IN PREMENOPAUSAL WOMEN
Srael, E. L. I., Anerjee, T. A. R. B., Itzmaurice, G. A. M. F., et al. (2001) · Cited by 1
Hagiwara, H., Watanabe, M., Kadosaka, T., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4003868 · Cited by 1
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Finn, S. C. (1998) · Journal of Women s Health · doi:10.1089/jwh.1998.7.311 · Cited by 1
The Impact of Obesity on Cardiometabolic Risk
Aronne, L. J. (2007) · JAAPA · doi:10.1097/01720610-200711010-00002 · Cited by 1
Liu, Z., Shu, W., Liu, M., & Chong, W. (2024) · medRxiv · doi:10.1101/2024.03.19.24304562 · Cited by 1
“These include metabolic syndrome 11,12 , insulin resistance 13,14 , hypertension 15 , and risk of systemic inflammation 16 , although the mechanisms are not yet fully understood.”
BackgroundOutcomes of a Community-Based Rehabilitation Programme for People with Diabetes/Prediabetes
Higgs, C. D. (2014) · Otago University Research Archive (University of Otago) · Cited by 1
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Visscher, T. L. S., Rissanen, A., Seidell, J. C., Heliövaara, M., Knekt, P., Reunanen, A., & Aromaa, A. (2004) · Archives of Internal Medicine · doi:10.1001/archinte.164.13.1413 · Cited by 98
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Botell, M. A. L. (2014) · CorSalud (Revista de Enfermedades Cardiovasculares)
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Yoon, S., & Park, J. (2009) · Springer eBooks · doi:10.1007/978-0-387-78665-0_63
Metadata
- Authors
- Carey, V. J., Walters, E. E., Colditz, G. A., Solomon, C. G., Willet, W. C., Rosner, B. A., Speizer, F. E., & Manson, J. E.
- Affiliations
- Brigham and Women's Hospital (US)
- Corresponding author
- Carey, V. J.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1997-04-01
- Volume
- 145
- Issue
- 7
- Pages
- 614-619
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2154904247
- Cited by
- 827
- References
- 0
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 9 · 2023: 22 · 2022: 24 · 2021: 22 · 2020: 22 · 2019: 16 · 2018: 23 · 2017: 38 · 2016: 32 · 2015: 38 · 2014: 55 · 2013: 31 · 2012: 48
- FWCI
- 9.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Cancer Institute (CA-40356)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK 46798)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Oncology › Cancer Risks and Factors
- Keywords
- type 2 diabetes, body fat distribution, abdominal obesity, waist circumference, waist-to-hip ratio, body mass index, obesity, women, diabetes risk factors, Nurses' Health Study
- MeSH terms
- Adult, Body Constitution, Diabetes Mellitus, Diabetes Mellitus, Type 2, Female, Follow-Up Studies, Humans, Middle Aged, Obesity, Prospective Studies, Surveys and Questionnaires, Risk Factors, Time Factors, United States, Body Mass Index, Incidence, Multivariate Analysis, Age Distribution
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