The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Identifying Individuals at High Risk for Diabetes
Abstract
OBJECTIVE—To develop and evaluate clinical rules to predict risk for diabetes in middle-aged adults. RESEARCH DESIGN AND METHODS—The Atherosclerosis Risk in Communities is a cohort study conducted from 1987–1989 to 1996–1998. We studied 7,915 participants 45–64 years of age, free of diabetes at baseline, and ascertained 1,292 incident cases of diabetes by clinical diagnosis or oral glucose tolerance testing. RESULTS—We derived risk functions to predict diabetes using logistic regression in a random half of the sample. Rules based on these risk functions were evaluated in the other half. A risk function based on waist, height, hypertension, blood pressure, family history of diabetes, ethnicity, and age was performed similarly to one based on fasting glucose (area under the receiver-operating characteristic curve [AUC] 0.71 and 0.74, respectively; P = 0.2). Risk functions composed of the clinical variables plus fasting glucose (AUC 0.78) and additionally including triglycerides and HDL cholesterol (AUC 0.80) performed better (P < 0.001). Evaluation of scores based on the metabolic syndrome as defined by the National Cholesterol Education Program or with slight variations showed AUCs of 0.75 and 0.78, respectively. Rules based on all these approaches, while identifying 20–56% of the sample as screen positive, achieved sensitivities of 40–87% and specificities of 50–86%. CONCLUSIONS—Rules derived from clinical information, alone or combined with simple laboratory measures, can characterize degrees of diabetes risk in middle-aged adults, permitting preventive actions of appropriate intensity. Rules based on the metabolic syndrome are reasonable alternatives to rules derived from risk functions.
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Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
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“CONCLUSIONS — Clinical trials demonstrate that high-risk individuals, defined as having IGT, can reduce their risk of diabetes by more than half when offered a well-structured intensive lifestyle modification program (2,3).”
BackgroundReport of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
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Cited by
Mancia, G., Fagard, R., Narkiewicz, K., Redón, J., Zanchetti, A., Böhm, M., Christiaens, T., Cifkova, R., De Backer, G., Dominiczak, A., et al. (2013) · Journal of Hypertension · doi:10.1097/01.hjh.0000431740.32696.cc · Cited by 5,655
Prevalence of Diabetes among Men and Women in China
Yang, W., Lu, J., Weng, J., Jia, W., Ji, L., Xiao, J., Shan, Z., Liu, J., Tian, H., Ji, Q., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0908292 · Cited by 3,031
Authors/Task Force Members:, Mancia, G., De Backer, G., Dominiczak, A., Cifkova, R., Fagard, R., Germano, G., Grassi, G., Heagerty, A. M., Kjeldsen, S. E., et al. (2006) · European Heart Journal · doi:10.1093/eurheartj/ehm236 · Cited by 2,384
Imamura, F., O’Connor, L., Ye, Z., Mursu, J., Hayashino, Y., Bhupathiraju, S. N., & Forouhi, N. G. (2015) · BMJ · doi:10.1136/bmj.h3576 · Cited by 977
Prediction of Incident Diabetes Mellitus in Middle-aged Adults: The Framingham Offspring Study
Wilson, P. W. F. (2007) · Archives of Internal Medicine · doi:10.1001/archinte.167.10.1068 · Cited by 4
Metadata
- Authors
- Schmidt, M. I., Duncan, B. B., Bang, H., Pankow, J. S., Ballantyne, C. M., Golden, S. H., Folsom, A. R., Chambless, L. E., & for the Atherosclerosis Risk in Communities Investigators
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2005-08-01
- Volume
- 28
- Issue
- 8
- Pages
- 2013-2018
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2094050483
- Cited by
- 455
- References
- 25
- FWCI
- 10.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- Schmidt, M. I., Duncan, B. B., Bang, H., Pankow, J. S., Ballantyne, C. M., Golden, S. H., Folsom, A. R., Chambless, L. E., & for the Atherosclerosis Risk in Communities Investigators. (2005). Identifying Individuals at High Risk for Diabetes. Diabetes Care. https://doi.org/10.2337/diacare.28.8.2013
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