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The Diabetes Prevention Program: baseline characteristics of the randomized cohort. The Diabetes Prevention Program Research Group.
Open accessAbstract
OBJECTIVE: The Diabetes Prevention Program (DPP) is a 27-center randomized clinical trial designed to evaluate the safety and efficacy of interventions that may delay or prevent development of diabetes in people at increased risk for type 2 diabetes. RESEARCH DESIGN AND METHODS: Eligibility requirements were age > or = 25 years, BMI > or = 24 kg/m2 (> or = 22 kg/m2 for Asian-Americans), and impaired glucose tolerance plus a fasting plasma glucose of 5.3-6.9 mmol/l (or < or = 6.9 mmol for American Indians). Randomization of participants into the DPP over 2.7 years ended in June 1999. Baseline data for the three treatment groups--intensive lifestyle modification, standard care plus metformin, and standard care plus placebo--are presented for the 3,234 participants who have been randomized. RESULTS: Of all participants, 55% were Caucasian, 20% were African-American, 16% were Hispanic, 5% were American Indian, and 4% were Asian-American. Their average age at entry was 51 +/- 10.7 years (mean +/- SD), and 67.7% were women. Moreover, 16% were < 40 years of age, and 20% were > or = 60 years of age. Of the women, 48% were postmenopausal. Men and women had similar frequencies of history of hypercholesterolemia (37 and 33%, respectively) or hypertension (29 and 26%, respectively). On the basis of fasting lipid determinations, 54% of men and 40% of women fit National Cholesterol Education Program criteria for abnormal lipid profiles. More men than women were current or former cigarette smokers or had a history of coronary heart disease. Furthermore, 66% of men and 71% of women had a first-degree relative with diabetes. Overall, BMI averaged 34.0 +/- 6.7 kg/m2 at baseline with 57% of the men and 73% of women having a BMI > or = 30 kg/m2. Average fasting plasma glucose (6.0 +/- 0.5 mmol/l) and HbA1c (5.9 +/- 0.5%) in men were comparable with values in women (5.9 +/- 0.4 mmol/l and 5.9 +/- 0.5%, respectively). CONCLUSIONS: The DPP has successfully randomized a large cohort of participants with a wide distribution of age, obesity, and ethnic and racial backgrounds who are at high risk for developing type 2 diabetes. The study will examine the effects of interventions on the development of diabetes.
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“Dysglycemia is strongly associated with the development of overweight status or obesity, as most DM2 patients are overweight or obese (44–46).”
From GDF-15 as a Weight Watcher for Diabetic and Non-Diabetic People Treated With Metformin (2020) · cites this paper as [45]
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Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (1997) · Diabetes Care · doi:10.2337/diacare.20.7.1183 · Cited by 6,220
Antihyperlipidemic and Biochemical Activities of Mcy Protein in Streptozotocin Induced Diabetic Rats
Marella, S., Maddirela, D. R., Badri, K. R., Kumar, M. V. J., & Chippada, A. R. (2015) · Cellular Physiology and Biochemistry · doi:10.1159/000373954 · Cited by 5,938
Pan, X.-R., Li, G.-W., Hu, Y.-H., Wang, J.-X., Yang, W.-Y., An, Z.-X., Hu, Z.-X., Juan-Lin, Xiao, J.-Z., Cao, H.-B., et al. (1997) · Diabetes Care · doi:10.2337/diacare.20.4.537 · Cited by 4,320
Harris, M. I., Flegal, K. M., Cowie, C. C., Eberhardt, M. S., Goldstein, D. E., Little, R. R., Wiedmeyer, H.-M., & Byrd-Holt, D. D. (1998) · Diabetes Care · doi:10.2337/diacare.21.4.518 · Cited by 2,703
Warnick, G. R., Benderson, J., & Albers, J. J. (1982) · Clinical Chemistry · doi:10.1093/clinchem/28.6.1379 · Cited by 2,171
Eriksson, K. F., & Lindg�rde, F. (1991) · Diabetologia · doi:10.1007/bf00400196 · Cited by 1,092
(1999) · Diabetes Care · doi:10.2337/diacare.22.4.623 · Cited by 725
Statistical Considerations in the Intent-to-Treat Principle
Lachin, J. M. (2000) · Controlled Clinical Trials · doi:10.1016/s0197-2456(00)00046-5 · Cited by 652
Edelstein, S. L., Knowler, W. C., Bain, R. P., Andres, R., Barrett-Connor, E. L., Dowse, G. K., Haffher, S. M., Pettitt, D. J., Sorkin, J. D., Muller, D. C., et al. (1997) · Diabetes · doi:10.2337/diab.46.4.701 · Cited by 641
Research works printed but not linked: 1
- [32]32. Hainline A Jr, Karon J, Lippel K (Eds.): Manual of Laboratory Operations. 2nd ed. Lipid Research Clinics Program, Lipid and Lipoprotein Analysis, U.S. Department of Health and Human Services, Public Health Service, National Institutes of Health (updated 1983)
Cited by
Sorted by citations
Items 201–300 of 399
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Maniar, K., Moideen, A., Bhattacharyya, R., & Banerjee, D. (2017) · Medical Hypotheses · doi:10.1016/j.mehy.2017.06.001 · Cited by 25
Μanios, Y., Lambrinou, C., Mavrogianni, C., Cardon, G., Lindström, J., Iotova, V., Tankova, T. I., Rurik, I., Stappen, V. V., Kivelä, J., et al. (2020) · Nutrients · doi:10.3390/nu12071949 · Cited by 23
The impact of diabetes mellitus on health and economy of Gulf Cooperation Council countries
Al-Rubeaan, K. A. (2014) · Diabetes Management · doi:10.2217/dmt.14.28 · Cited by 23
Sullivan, S. D., Jablonski, K. A., Florez, J. C., Dabelea, D., Franks, P. W., Dagogo-Jack, S. E., Kim, C., Knowler, W. C., Christophi, C. A., & Ratner, R. E. (2013) · Diabetes Care · doi:10.2337/dc13-0700 · Cited by 23
Chirinos, D. A., Goldberg, R. B., Llabre, M. M., Gellman, M. D., Gutt, M., McCalla, J. R., Mendez, A. J., & Schneiderman, N. (2016) · Journal of Behavioral Medicine · doi:10.1007/s10865-016-9721-2 · Cited by 23
Metabolic syndrome and other factors associated with increased risk of diabetes
Streja, D. A. (2004) · Clinical cornerstone · doi:10.1016/s1098-3597(04)80094-2 · Cited by 23
Lee, E. T., Jobe, J. B., Yeh, J. L., Ali, T., Rhoades, E. R., KNEHANS, A. W., Willis, D. J., Johnson, M. R., Zhang, Y., Poolaw, B., et al. (2012) · The Journal of Primary Prevention · doi:10.1007/s10935-012-0273-0 · Cited by 22
Zhang, C., Gao, F., Luo, H., Zhang, C., & Zhang, R. (2015) · Cardiovascular Diabetology · doi:10.1186/s12933-015-0240-1 · Cited by 22
Christophi, C. A., Resnick, H. E., Ratner, R. E., Temprosa, M. G., Fowler, S. E., Knowler, W. C., Shamoon, H., Barrett-Connor, E. L., & Kahn, S. E. (2012) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2012.09.012 · Cited by 21
Parental Longevity and Diabetes Risk in the Diabetes Prevention Program
Florez, H. J., Ma, Y., Crandall, J. P., Perreault, L., Marcovina, S. M., Bray, G. A., Saudek, C. D., Barrett-Connor, E. L., & Knowler, W. C. (2011) · The Journals of Gerontology Series A · doi:10.1093/gerona/glr114 · Cited by 21
Merino, J., Jablonski, K. A., Mercader, J. M., Kahn, S. E., Chen, L., Harden, M. V., Delahanty, L. M., Araneta, M. R. G., Walford, G. A., Jacobs, S. B. R., et al. (2019) · Diabetes · doi:10.2337/db19-0097 · Cited by 21
Is there cardiac autonomic neuropathy in prediabetes?
Zilliox, L. A., & Russell, J. W. (2020) · Autonomic Neuroscience · doi:10.1016/j.autneu.2020.102722 · Cited by 23
Billings, L. K., Jablonski, K. A., Warner, A. S., Cheng, Y.-C., McAteer, J. B., Tipton, L., Shuldiner, A. R., Ehrmann, D. A., Manning, A. K., Dabelea, D., et al. (2017) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2016-3429 · Cited by 20
Li, J. H., Perry, J. A., Jablonski, K. A., Srinivasan, S., Chen, L., Todd, J. N., Harden, M. V., Mercader, J. M., Pan, Q., Dawed, A. Y., et al. (2022) · Diabetes · doi:10.2337/db22-0702 · Cited by 21
Role of metformin in the management of type 2 diabetes: recent advances
Gonzalez-Lopez, C., & Wojeck, B. S. (2023) · Polskie Archiwum Medycyny Wewnętrznej · doi:10.20452/pamw.16511 · Cited by 26
Driver, S. J., Juengst, S. B., McShan, E., Bennett, M., Bell, K. R., & Dubiel, R. (2019) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2019.100328 · Cited by 23
Zweig, S. B., Tolentino, M. C., & Poretsky, L. (2004) · Springer eBooks · doi:10.1007/978-1-4757-6260-0_38 · Cited by 19
Evidence generation, decision making, and consequent growth in health disparities
Basu, A., & Gujral, K. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1920197117 · Cited by 19
Li, J. H., Brenner, L. N., Kaur, V., Figueroa, K., Schroeder, P. H., Huerta‐Chagoya, A., MaGiC Investigators, Chen, J., Spracklen, C. N., Marenne, G., et al. (2023) · Diabetologia · doi:10.1007/s00125-023-05922-7 · Cited by 19
Ackermann, R. T., Finch, E. A., Schmidt, K., Hoen, H. M., Hays, L. M., Marrero, D. G., & Saha, C. (2013) · Contemporary Clinical Trials · doi:10.1016/j.cct.2013.10.003 · Cited by 19
Heideman, W. H., Nierkens, V., Stronks, K., Middelkoop, B. J., Twisk, J. W. R., Verhoeff, A. P., de Wit, M., & Snoek, F. J. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-751 · Cited by 19
Casazza, K., & Allison, D. B. (2012) · Clinical Obesity · doi:10.1111/j.1758-8111.2012.00052.x · Cited by 18
Cha, S., Lim, S., Kim, K.-R., Lee, E., Kang, B., Choi, Y., Yoon, K., Ahn, Y., Lee, J., & Ko, S. (2017) · BMC Public Health · doi:10.1186/s12889-017-4283-y · Cited by 18
Delahanty, L. M. (2002) · Diabetes Spectrum · doi:10.2337/diaspect.15.3.183 · Cited by 18
Willging, C. E., Helitzer, D., & Thompson, J. L. (2006) · Evaluation and Program Planning · doi:10.1016/j.evalprogplan.2006.01.005 · Cited by 18
Do effects on blood pressure contribute to improved clinical outcomes with metformin?
Schäfers, R. F. (2003) · Diabetes & Metabolism · doi:10.1016/s1262-3636(03)72789-x · Cited by 18
Lifestyle Intervention for Sustained Remission of Metabolic Syndrome
Powell, L. H., Berkley‐Patton, J., Drees, B. M., Karavolos, K., Lohse, B., Masters, K. S., Nicklas, J. M., Rothschild, S. K., Yeh, C., Zimmermann, L. J., et al. (2025) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2025.5900 · Cited by 20
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Flowers, E., Kanaya, A. M., Zhang, L., & Aouizerat, B. E. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.853633 · Cited by 17
Valensi, P. E. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-024-02436-3 · Cited by 21
Yoon, U., Kwok, L. L., & Magkidis, A. (2012) · BMC Proceedings · doi:10.1186/1753-6561-6-s3-p28 · Cited by 17
Evidence-based management and treatment of high-risk individuals with pre-diabetes
Chun, K. H. (2011) · Journal of Korean Medical Association · doi:10.5124/jkma.2011.54.10.1020 · Cited by 17
Characteristics of American Young Adults With Increased Risk for Type 2 Diabetes
Cha, E., Umpierrez, G. E., Kim, K. H., Bello, M. K., & Dunbar, S. B. (2013) · The Science of Diabetes Self-Management and Care · doi:10.1177/0145721713486199 · Cited by 16
Powell, L. H., Daniels, B. T., Drees, B. M., Karavolos, K., Lohse, B., Masters, K. S., Nicklas, J. M., Ruder, E. H., Suzuki, S., Trabold, N., et al. (2024) · American Heart Journal · doi:10.1016/j.ahj.2023.12.016 · Cited by 16
Mogre, V., Apala, P., Nsoh, J. A., & Wanaba, P. (2015) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2015.09.022 · Cited by 16
Detecting ‘wrong blood in tube’ errors: Evaluation of a Bayesian network approach
Doctor, J. N., & Strylewicz, G. (2010) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2010.05.008 · Cited by 16
Type 2 Diabetes in Children: Oxymoron or Medical Metamorphosis?
Copeland, K. C., Chalmers, L. J., & Brown, R. D. R. (2005) · Pediatric Annals · doi:10.3928/0090-4481-20050901-09 · Cited by 16
Ritter, S., Vetter, M. L., & Sarwer, D. B. (2012) · Postgraduate Medicine · doi:10.3810/pgm.2012.07.2578 · Cited by 15
Dynamic risk prediction for diabetes using biomarker change measurements
Parast, L. M., Mathews, M., & Friedberg, M. W. (2019) · BMC Medical Research Methodology · doi:10.1186/s12874-019-0812-y · Cited by 16
Thompson, J. L., Herman, C. J., Allen, P. M., Helitzer, D., Wilson, N., Whyte, A. N., Perez, G. E., & Wolfe, V. K. (2007) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2006.0015 · Cited by 15
Ryder, E., Gómez, M. E., Fernández, V., Campos, G., Morales, L. M., Valbuena, H., & Raleigh, X. (2003) · Diabetes Research and Clinical Practice · doi:10.1016/s0168-8227(02)00282-6 · Cited by 15
Costa, B., Piñol, J. L., Martín‐Luján, F., Donado, Á., & Castell, C. (2002) · Medicina Clínica · doi:10.1016/s0025-7753(02)72362-2 · Cited by 15
Racial/ethnic differences in circulating natriuretic peptide levels: The Diabetes Prevention Program
Gupta, D. K., Walford, G. A., Ma, Y., Jarolı́m, P., & Wang, T. J. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229280 · Cited by 15
Benefits of Exercise in the Elderly
Amsterdam, E. A., & Kappagoda, C. T. (2014) · Springer eBooks · doi:10.1007/978-1-4939-0268-2_11 · Cited by 14
The Diabetes Prevention Program: headline results
Bailey, C. J. (2001) · The British Journal of Diabetes · doi:10.1177/14746514010010011001 · Cited by 13
Azar, K. M. J., Xiao, L., & Ma, J. (2013) · BioMed Research International · doi:10.1155/2013/191209 · Cited by 17
Srinivasan, S., Jablonski, K. A., Knowler, W. C., Dagogo-Jack, S. E., Kahn, S. E., Boyko, E. J., Bray, G. A., Horton, E. S., Hivert, M., Goldberg, R. B., et al. (2019) · Journal of the Endocrine Society · doi:10.1210/js.2019-00069 · Cited by 13
Vitolins, M. Z., Isom, S. P., Blackwell, C. S., Kernodle, D., Sydell, J. M., Pedley, C. F., Katula, J. A., Case, L. D., & Goff, D. C. (2016) · Translational Behavioral Medicine · doi:10.1007/s13142-016-0447-z · Cited by 13
Shariff, A. I., Kumar, N., Yancy, W. S., & Corsino, L. (2020) · Current Diabetes Reports · doi:10.1007/s11892-020-1291-6 · Cited by 13
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Marrero, D. G., & Ackermann, R. T. (2007) · Diabetes Spectrum · doi:10.2337/diaspect.20.4.205 · Cited by 13
Tang, M. L., Zhou, Y., Song, A. Q., Wang, J., Wan, Y. P., & Xu, R. (2021) · Journal of Diabetes Research · doi:10.1155/2021/5581349 · Cited by 14
Kutlu, R., Sayın, S., & Koçak, A. (2016) · Konuralp Tıp Dergisi · doi:10.18521/ktd.283060 · Cited by 12
Hannon, T. S., Saha, C., Carroll, A. E., Palmer, K. N. B., Phillips, E. O., & Marrero, D. G. (2018) · Pediatric Diabetes · doi:10.1111/pedi.12692 · Cited by 12
Orlistat in the treatment of Type 2 diabetes mellitus
Jneidi, M., & Kelley, D. E. (2002) · Expert Opinion on Pharmacotherapy · doi:10.1517/14656566.3.5.599 · Cited by 12
New and Emerging Strategies for Reducing Cardiometabolic Risk Factors
Rodgers, P. T., & Fuke, D. C. (2006) · Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy · doi:10.1592/phco.26.5part2.13s · Cited by 12
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Billings, L. K., Jablonski, K. A., Pan, Q., Florez, J. C., Franks, P. W., Goldberg, R. B., Hivert, M.-F., Kahn, S. E., Knowler, W. C., Lee, C. G., et al. (2024) · Diabetes · doi:10.2337/db23-0761 · Cited by 11
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MicroRNA biomarkers target genes and pathways associated with type 2 diabetes
Kariuki, D., Aouizerat, B. E., Asam, K. R., Kanaya, A. M., Zhang, L., Florez, J. C., & Flowers, E. (2023) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2023.110868 · Cited by 11
Du, X., Xie, C., Shi, L., Gao, H., Yang, C., & Liu, Q. (2020) · Medicine · doi:10.1097/md.0000000000019708 · Cited by 11
Psychosocial and Behavioral Correlates of A1C and Quality of Life Among Young Adults With Diabetes
Vigen, C. L. P., Carandang, K. M., Blanchard, J., Sequeira, P. A., Wood, J., Spruijt‐Metz, D., Whittemore, R., Peters, A. L., & Pyatak, E. A. (2018) · The Science of Diabetes Self-Management and Care · doi:10.1177/0145721718804170 · Cited by 15
Varga, T. V., Liu, J., Goldberg, R. B., Chen, G., Dagogo-Jack, S. E., Lorenzo, C., Mather, K. J., Pi-Sunyer, X., Brunak, S., & Temprosa, M. G. (2021) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2020-001953 · Cited by 12
The role of the renin angiotensin hormonal system in the metabolic syndrome and type 2 diabetes
Nosadini, R., & Tonolo, G. (2004) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/s0939-4753(04)80015-2 · Cited by 11
Luo, Y., Paul, S. K., Zhou, X., Chang, C., Chen, W., Guo, X., Yang, J., Ji, L., & Wang, H. (2017) · Journal of Diabetes Research · doi:10.1155/2017/7602408 · Cited by 13
STROEBEL, B. M., Gadgil, M. D., Lewis, K., Longoria, K. D., Zhang, L., & Flowers, E. (2025) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaf163 · Cited by 10
Screening for diabetes in schoolchildren in Trinidad, West Indies
Batson, Y. A., Teelucksingh, S., Maharaj, R. G., Singh, V. K., Balkaran, S., & Cockburn, B. N. (2012) · Paediatrics and International Child Health · doi:10.1179/2046905512y.0000000032 · Cited by 10
Perceived barriers to physical activity during and after a behavioural weight loss programme
Call, C. C., Roberts, S. R., Schumacher, L. M., Remmert, J. E., Kerrigan, S. G., & Butryn, M. L. (2019) · Obesity Science & Practice · doi:10.1002/osp4.373 · Cited by 11
Revising Diabetes Programming for Black Men and Their Families
Hurt, T. R., Francis, S. L., Seawell, A. H., Krisco, M. P., Flynn, M. H., O’Connor, M. C., Rudolph, C. S., & Hill, A. (2020) · Global Qualitative Nursing Research · doi:10.1177/2333393620960183 · Cited by 10
Franks, P. W., Huang, T. T. ‐., & Ball, G. D. C. (2007) · Canadian Journal of Diabetes · doi:10.1016/s1499-2671(07)13011-2 · Cited by 10
Mogre, V., Wanaba, P., Apala, P., & Nsoh, J. A. (2016) · SpringerPlus · doi:10.1186/s40064-016-2029-4 · Cited by 10
Haregu, T., Lekha, T. R., Jasper, S., Kapoor, N., Sathish, T., Jeemon, P., Tapp, R. J., Thankappan, K. R., Mahal, A. S., Absetz, P., et al. (2023) · BMC Public Health · doi:10.1186/s12889-023-15392-6 · Cited by 9
Jaeger, B. C., Casanova, R., Demesie, Y. N., Stafford, J. M., Wells, B. J., & Bancks, M. P. (2025) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaf250 · Cited by 9
Lifestyle intervention strategies to prevent and control type 2 diabetes
Otto, A. D., Garcia, D. O., & Jakicic, J. M. (2008) · Current Diabetes Reports · doi:10.1007/s11892-008-0070-6 · Cited by 9
Wang, X., Gao, H., & Xu, H. (2019) · Diabetes Therapy · doi:10.1007/s13300-019-00676-1 · Cited by 9
Gonzales, K. L., Jiang, L., Garcia-Alexander, G., Jacob, M. M., Chang, J. J., Williams, D. R., Bullock, A. K., & Manson, S. M. (2021) · Journal of Aging and Health · doi:10.1177/08982643211013188 · Cited by 10
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American Diabetes Association and National Institute of Diabetes and Digestive and Kidney Diseases (2002) · Diabetes Spectrum · doi:10.2337/diaspect.15.3.147 · Cited by 9
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Nicasio, J., El-Atat, F. A., McFarlane, S. I., & LaRosa, J. H. (2005) · Current Diabetes Reports · doi:10.1007/s11892-005-0011-6 · Cited by 9
Sood, M., Zweig, S. B., Tolentino, M. C., Strizhevsky, M., & Poretsky, L. (2015) · Springer eBooks · doi:10.1007/978-3-319-20797-1_33-1 · Cited by 8
Šabović, M., Lavre, S., & Keber, I. (2004) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/01.hjr.0000124213.21584.75 · Cited by 8
Weng, C.-M., Chou, C.-H., Huang, Y., Lin, C., Liu, Y.-W., & Tsai, W. (2010) · Heart and Vessels · doi:10.1007/s00380-009-1218-2 · Cited by 8
Clark, D. O., Srinivas, P., Bodke, K., Keith, N. R., Hood, S. M., & Tu, W. (2018) · Contemporary Clinical Trials · doi:10.1016/j.cct.2018.01.006 · Cited by 9
Physical activity and the older adult: Measurement, benefits, and risks
Brach, J. S., Kriska, A. M., Glynn, N. W., & Newman, A. B. (2008) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-008-0056-6 · Cited by 8
Li, W.-J., Procter-Gray, E., Youssef, G. A., Crouter, S. E., Cheng, J., Brown, K., Churchill, L. C., Clarke, A., Ockene, J., & Magee, M. (2017) · AIMS Public Health · doi:10.3934/publichealth.2017.2.149 · Cited by 7
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Metadata
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2000-11-01
- Volume
- 23
- Issue
- 11
- Pages
- 1619-1629
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC1360735
- OpenAlex
- W1935237410
- Cited by
- 399
- References
- 44
- Citations by year
- 2026: 11 · 2025: 9 · 2024: 19 · 2023: 8 · 2022: 6 · 2021: 10 · 2020: 12 · 2019: 11 · 2018: 10 · 2017: 18 · 2016: 16 · 2015: 16 · 2014: 17 · 2013: 17 · 2012: 22
- FWCI
- 12.13
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- American Diabetes Association
- Bristol-Myers Squibb
- National Institutes of Health
- Centers for Disease Control and Prevention
- National Institute on Aging
- National Institute of Diabetes and Digestive and Kidney Diseases (U01DK048489)
- National Institute of Child Health and Human Development
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- type 2 diabetes prevention, impaired glucose tolerance, prediabetes, metformin, lifestyle modification, baseline characteristics, sex differences, racial and ethnic differences, body mass index, fasting blood glucose, HbA1c, hypercholesterolemia, hypertension, smoking, coronary artery disease, Diabetes Prevention Program
- MeSH terms
- Adult, Asian, Black or African American, Blood Glucose, Blood Pressure, Cholesterol, Coronary Disease, Diabetes Mellitus, Type 2, Female, Hispanic or Latino, Humans, Hypercholesterolemia, Indians, North American, Lipids, Male, Middle Aged, Patient Education as Topic, Risk Factors, Sex Factors, Smoking, Socioeconomic Factors, United States, Cohort Studies, Body Mass Index, Glucose Intolerance, White People, Racial Groups
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