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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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Green, S. M., & Gillett, A. (1998) · British Journal of Nursing · doi:10.12968/bjon.1998.7.13.5650 · Cited by 24
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Arnaíz, P., Marín, A., Pino, F., Salesa Barja, Y., Marlene Aglony, I., Navarrete, C., & Mónica Acevedo, B. (2010) · Revista médica de Chile · doi:10.4067/s0034-98872010001200006 · Cited by 22
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Dunn, S. M., Hilgers, R. H. P., & Das, K. C. (2017) · Physiological Reports · doi:10.14814/phy2.13502 · Cited by 24
Xu, M., Wang, Y., Li, W.-Q., Huang, C., Li, J., Xie, W., Zeng, H., Tao, L., & Li, X. (2020) · Genes & Diseases · doi:10.1016/j.gendis.2020.08.009 · Cited by 22
Martin, L. J., Burke, S. M., Shapiro, S., Carron, A. V., Irwin, J. D., Petrella, R. J., Harry Prapavessis, A., & Shoemaker, J. K. (2009) · BMC Public Health · doi:10.1186/1471-2458-9-277 · Cited by 21
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Bloomgarden, Z. T. (2001) · Diabetes Care · doi:10.2337/diacare.24.2.399 · Cited by 21
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Sung, E., Sunwoo, S., Kim, S. W., & Kim, Y. S. (2001) · Journal of Korean Medical Science · doi:10.3346/jkms.2001.16.4.391 · Cited by 21
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Lahti‐Koski, M. (2001) · STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) · Cited by 22
Mutschler, J., Abbruzzese, E., Wiedemann, K., von der Goltz, C., Dinter, C., Mobascher, A., Thiele, H., Diaz-Lacava, A. N., Dahmen, N., Gallinat, J., et al. (2013) · Annals of Nutrition and Metabolism · doi:10.1159/000346799 · Cited by 20
Lei, X., Callaway, M., Zhou, H., et al. (2015) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2015.05.001 · Cited by 20
Current knowledge in the neurophysiologic modulation of obesity
Angelopoulos, N., Goula, A., & Tolis, G. (2005) · Metabolism · doi:10.1016/j.metabol.2005.04.005 · Cited by 20
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BackgroundYehia, R., Lone, I. M., Yehia, I., & Iraqi, F. A. (2022) · Phytomedicine Plus · doi:10.1016/j.phyplu.2022.100394 · Cited by 19
Sattar, N., Deanfield, J., & Delles, C. (2024) · Cardiovascular Research · doi:10.1093/cvr/cvac186 · Cited by 20
Yu, H., Ho, M. M., Liu, X., Yang, J., Chau, P. H., & Fong, D. (2023) · Journal of Global Health · doi:10.7189/jogh.13.04088 · Cited by 24
Prevalence and associated risk factors of undiagnosed diabetes among adult Moroccan Sahraoui women
Rguibi, M. A., & Belahsen, R. (2006) · Public Health Nutrition · doi:10.1079/phn2005866 · Cited by 19
Ezenwaka, C. E., Okoye, O., Esonwune, C., Onuoha, P. C., Dioka, C. E., Osuji, C. U., Oguejiofor, C. O., & Meludu, S. (2014) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2013.0139 · Cited by 21
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Park, J. Y., Kim, J. Y., Lee, S. P., & Lee, J. H. (2010) · Journal of Nutrition and Health · doi:10.4163/kjn.2010.43.4.374 · Cited by 19
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Poret, J. M., Gaudet, D. A., Braymer, H. D., & Primeaux, S. D. (2021) · Life Sciences · doi:10.1016/j.lfs.2021.119290 · Cited by 19
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Villegas, R., Williams, S. M., Gao, Y., Cai, Q., Li, H., Elasy, T. A., Cai, H., Edwards, T. L., Xiang, Y., Zheng, W., et al. (2011) · Annals of Human Genetics · doi:10.1111/j.1469-1809.2011.00669.x · Cited by 18
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BackgroundJafari‐Koshki, T., Mansourian, M., Hosseini, S. M., & Amini, M. (2016) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2016.05.003 · Cited by 18
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Mendes, L. L., Gazzinelli, A., & Velásquez-Meléndez, G. (2009) · Arquivos Brasileiros de Endocrinologia & Metabologia · doi:10.1590/s0004-27302009000300006 · Cited by 18
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Gondo, T., Ohno, Y., Nakashima, J., et al. (2016) · International Urology and Nephrology · doi:10.1007/s11255-016-1462-1 · Cited by 17
de Castro, J. J., Dias, T., Chambel, P., Carvalheiro, M. C., Correia, L. G., Guerreiro, L., Marques, O., Medina, J. L., Nobre, E. L., Silva‐Nunes, J., et al. (2009) · PubMed · Cited by 17
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Moreno, B., & Casanueva, F. F. (2007) · Medicina Clínica · doi:10.1157/13100347 · Cited by 17
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Rojas, R., Aguilar-Salinas, C. A., & Jiménez-Corona, A. (2012) · PubMed · Cited by 16
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Lifecourse predictors of normal metabolic parameters in overweight and obese adults
Hayes, L. D., Pearce, M. S., & Unwin, N. C. (2006) · International Journal of Obesity · doi:10.1038/sj.ijo.0803213 · Cited by 16
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Brown, W. V. (2000) · Diabetes Obesity and Metabolism · doi:10.1046/j.1463-1326.2000.00001.x · Cited by 16
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Livingston, E. H., Chandalia, M., & Abate, N. I. (2007) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2007.07.013 · Cited by 16
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Clawson, R. E., Davis, S. Y., Miller, R. B., & Webster, T. N. (2017) · Journal of Marital and Family Therapy · doi:10.1111/jmft.12263 · Cited by 19
Smith, K., Taylor, G., Allerton, D. M., Brunsgaard, L. H., Davies, K. A. B., Stevenson, E., & West, D. J. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.696977 · Cited by 17
Perng, W., Kelsey, M. M., Sauder, K. A., & Dabelea, D. (2021) · Diabetologia · doi:10.1007/s00125-021-05515-2 · Cited by 15
Lee, H. H., Lee, H. J., Cho, J. I., Stampfer, M. J., Willett, W. C., Kim, C., & Cho, E. (2012) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2012.181 · Cited by 16
Janghorbani, M., & Amini, M. (2009) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2009.07.002 · Cited by 15
Capers, P. L., Kinsey, A. W., Miskell, E. L., & Affuso, O. (2016) · Clinical Medicine Insights Women s Health · doi:10.4137/cmwh.s37587 · Cited by 15
Salman, M. A., Abdallah, A., Mikhail, H. M. S., Abdelsalam, A., Ibrahim, A. H., Sultan, A. A. E. A., El‐ghobary, M., Ismail, A. A. M., Abouelregal, T. E., Omar, M. G., et al. (2020) · Obesity Surgery · doi:10.1007/s11695-020-04471-x · Cited by 15
Medical consequences of obesity
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Tang, Y., Gao, R., Lee, H. H., Wells, Q. S., Spann, A., Terry, J. G., Carr, J. J., Huo, Y., Bao, S., & Landman, B. A. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-60946-7_2 · Cited by 17
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Wahlroos, S., Phillips, M. L., Lewis, M., Kow, L., Toouli, J., Slavotinek, J., Valentine, R., & Thompson, C. H. (2007) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2006.08.002 · Cited by 15
Management of obesity and overweight
Lean, M. E. J. (2015) · Medicine · doi:10.1016/j.mpmed.2014.11.008 · Cited by 15
Handbook of preventive interventions for adults
Dulmus, C. N., & Rapp-Paglicci, L. A. (2006) · Choice Reviews Online · doi:10.5860/choice.43-2838 · Cited by 15
Secretory granule exocytosis and its amplification by cAMP in pancreatic β-cells
Nagao, M., Lagerstedt, J. O., & Eliasson, L. (2022) · Diabetology International · doi:10.1007/s13340-022-00580-3 · Cited by 14
López-López, J., Gonzalez, A. M., Lanza, P., Martínez-Bello, D., Gómez-Arbeláez, D., Otero, J. A., Cohen, D. D., Pérez-Mayorga, M., García-Peña, Á. A., Rangarajan, S., et al. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1204885 · Cited by 14
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Kal, S., Mahata, S., Jati, S., & Mahata, S. K. (2023) · Peptides · doi:10.1016/j.peptides.2023.171147 · Cited by 15
Aasen, G., Fagertun, H., & Halse, J. (2009) · Scandinavian Journal of Clinical and Laboratory Investigation · doi:10.1080/00365510902778734 · Cited by 14
Eghan, B., Agyemang-Yeboah, F., Togbe, E., Annani-Akollor, M. E., Donkor, S., & Afranie, B. O. (2019) · Alexandria Journal of Medicine · doi:10.1080/20905068.2019.1658340 · Cited by 14
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Guardo, F. D., Currò, J. M., Valenti, G., Rossetti, P., Di Gregorio, L. M., Conway, F., Chiofalo, B., Garzon, S., Bruni, S., & Rizzo, G. (2020) · Journal of Complementary and Integrative Medicine · doi:10.1515/jcim-2019-0111 · Cited by 14
Bethel, M. A., DEEDWANIA, P. C., Levitt, N. S., Schmitz, O., Huntsman-Labed, A., Califf, R. M., Haffner, S. M., Diem, P., & for the NAVIGATOR Study Group (2009) · Diabetic Medicine · doi:10.1111/j.1464-5491.2009.02864.x · Cited by 12
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Alves, M. G., Moreira, Â., Guimarães, M., Nora, M. C., Sousa, M., Oliveira, P. F., & Monteiro, M. P. (2017) · BBA Clinical · doi:10.1016/j.bbacli.2017.05.001 · Cited by 14
Prevalence of abdominal obesity in primary care: the IDEA UK study
Morrell, J., & Fox, K. A. A. (2009) · International Journal of Clinical Practice · doi:10.1111/j.1742-1241.2009.02126.x · Cited by 14
Hofsø, D., Jenssen, T. G., Bollerslev, J., et al. (2009) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2009.06.016 · Cited by 14
Visceral Adiposity, Insulin Resistance, and Type 2 Diabetes
Griffith, M. L., Younk, L. M., & Davis, S. N. (2010) · American Journal of Lifestyle Medicine · doi:10.1177/1559827609360959 · Cited by 14
High Prevalence of Metabolic Syndrome among Young Women with Nonfatal Myocardial Infarction
Lawry, L. L., Ridker, P. M., Rifai, N., Loughrey, C. M., & Komaroff, A. L. (2004) · Journal of Women s Health · doi:10.1089/154099904322966146 · Cited by 15
Hagiwara, H., Watanabe, M., Kadosaka, T., Koizumi, T., Kobayashi, Y., Koya, T., Nakao, M., Tsuneta, S., Kato, Y., Komoriyama, H., et al. (2023) · Heart and Vessels · doi:10.1007/s00380-022-02229-2 · Cited by 13
Liu, N., Wang, B., Zhang, G., Shen, M., Peng, C., Guo, Z., Zuo, L., Yang, J., Guo, M. A., Wang, M., et al. (2025) · Annals of Medicine · doi:10.1080/07853890.2025.2462447 · Cited by 13
“…ratio (WhtR) have been studied to estimate body adiposity and predict the risk of developing t2D in clinical practice and research settings [3–5]. however, it remains controversial as to which measure can better estimate t2D risk and whether Wc, WhpR, or WhtR can better predict the…”
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Correa, R. R., Tella, S. H., Elshimy, G., & Davidson, J. A. (2020) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108274 · Cited by 14
Genome-wide association study of body fat distribution traits in Hispanics/Latinos from the HCHS/SOL
Justice, A. E., Young, K. L., Gogarten, S. M., Sofer, T., Graff, M., Love, S. A., Wang, Y., Klimentidis, Y. C., Cruz, M., Guo, X., et al. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab166 · Cited by 15
“Obesity, and especially central obesity, is a leading risk factor for metabolic and cardiovascular diseases (CVDs), with the greatest burden carried by minority populations (1–4), particularly Hispanic/Latino Americans and African Americans (5).”
Differentiation and Metabolic Interrogation of Human Adipocytes
Baker, N. A., Muir, L. A., Lumeng, C. N.-K., et al. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-6820-6_7 · Cited by 13
Wang, X., Chen, J., Li, L., Zhu, C., Gao, J., Rampersad, S., Bu, L., & Qu, S. (2017) · Lipids in Health and Disease · doi:10.1186/s12944-017-0462-1 · Cited by 14
de Sá-Caputo, D. D. C., Sonza, A., Coelho-Oliveira, A. C., Pessanha-Freitas, J., dos Reis, A. S., Francisca-Santos, A., dos Anjos, E. M., Paineiras-Domingos, L. L., Guerra, T. D. R. B., Franco, A. D. S., et al. (2021) · Biology · doi:10.3390/biology10111209 · Cited by 15
“Studies indicated that the location and distribution of adipose tissue is related to an increased risk of developing diseases than adiposity in general [6,7].”
BackgroundDuggleby, S., Jackson, A. A., Godfrey, K. M., Robinson, S. M., Inskip, H. M., & the Southampton Women's Survey Study Group (2008) · British Journal Of Nutrition · doi:10.1017/s0007114508012245 · Cited by 14
Atypical antipsychotic agents and increased risk of diabetes: class action or differential action?
Ananth, J., & Kolli, S. (2005) · Expert Opinion on Drug Safety · doi:10.1517/14740338.4.1.55 · Cited by 13
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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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