The DOI matches its Crossref record; 13 of the 14 references it cites were found in a registry or an index.
Projection of Diabetes Burden Through 2050
Open accessAbstract
OBJECTIVE: To project the number of people with diagnosed diabetes in the U.S. through 2050, accounting for changing demography and diabetes prevalence rates. RESEARCH DESIGN AND METHODS: We combined age-, sex-, and race-specific diagnosed diabetes prevalence rates-predicted from 1980-1998 trends in prevalence data from the National Health Interview Survey-with Bureau of Census population demographic projections. Sensitivity analyses were performed by varying both prevalence rate and population projections. RESULTS: The number of Americans with diagnosed diabetes is projected to increase 165%, from 11 million in 2000 (prevalence of 4.0%) to 29 million in 2050 (prevalence of 7.2%). The largest percent increase in diagnosed diabetes will be among those aged > or =75 years (+271% in women and +437% in men). The fastest growing ethnic group with diagnosed diabetes is expected to be black males (+363% from 2000-2050), with black females (+217%), white males (+148%), and white females (+107%) following. Of the projected 18 million increase in the number of cases of diabetes in 2050, 37% are due to changes in demographic composition, 27% are due to population growth, and 36% are due to increasing prevalence rates. CONCLUSIONS: If recent trends in diabetes prevalence rates continue linearly over the next 50 years, future changes in the size and demographic characteristics of the U.S. population will lead to dramatic increases in the number of Americans with diagnosed diabetes.
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“The rates of type 2 diabetes and insulin resistance are significantly greater in the elderly population compared to young adults,91, 92 leading to greater risk for cardiovascular events.”
From Hormonal and Metabolic Changes of Aging and the Influence of Lifestyle Modifications (2021) · cites this paper as [92]
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Cites
Global Burden of Diabetes, 1995–2025: Prevalence, numerical estimates, and projections
King, H. O. M., Aubert, R. E., & Herman, W. H. (1998) · Diabetes Care · doi:10.2337/diacare.21.9.1414 · Cited by 6,294
Overweight and obesity in the United States: prevalence and trends, 1960–1994
Flegal, K., Carroll, M., Kuczmarski, R., & Johnson, C. (1998) · International Journal of Obesity · doi:10.1038/sj.ijo.0800541 · Cited by 3,045
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
Increasing Prevalence of Overweight Among US Adults
Kuczmarski, R. J. (1994) · JAMA · doi:10.1001/jama.272.3.205 · Cited by 2,544
The Spread of the Obesity Epidemic in the United States, 1991-1998
Mokdad, A. H. (1999) · JAMA · doi:10.1001/jama.282.16.1519 · Cited by 2,384
Type 2 diabetes among North adolescents: An epidemiologic health perspective
Fagot‐Campagna, A., Pettitt, D. J., Engelgau, M. M., Burrows, N. R., Geiss, L. S., Valdez, R. A., Beckles, G. L., SAADDINE, J. B., Gregg, E. W., Williamson, D. F., et al. (2000) · The Journal of Pediatrics · doi:10.1067/mpd.2000.105141 · Cited by 1,123
Diabetes trends in the U.S.: 1990-1998.
Mokdad, A. H., Ford, E. S., Bowman, B. A., Nelson, D. E., Engelgau, M. M., Vinicor, F., & Marks, J. S. (2000) · Diabetes Care · doi:10.2337/diacare.23.9.1278 · Cited by 1,042
Screening for type 2 diabetes.
Engelgau, M. M., Narayan, K. M. V., & Herman, W. H. (2000) · Diabetes Care · doi:10.2337/diacare.23.10.1563 · Cited by 1,026
(1999) · Diabetes Care · doi:10.2337/diacare.22.4.623 · Cited by 725
Diabetes — a common, growing, serious, costly, and potentially preventable public health problem
Narayan, K. M. V., Gregg, E. W., Fagot‐Campagna, A., Engelgau, M. M., & Vinicor, F. (2000) · Diabetes Research and Clinical Practice · doi:10.1016/s0168-8227(00)00183-2 · Cited by 312
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Ansah, J. P., Malhotra, R., Matchar, D. B., & Bautista, M. A. (2014)
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Punia, R. S., Kundu, R., Jassal, V., Attri, A. K., & Jagdish, C. (2015) · Diabetes Mellitus · doi:10.14341/dm2015279-83
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Neto, N. M. A., Carlo, R. J. D., Monteiro, B. S., Nardi, N. B., Chagastelles, P. C., Brito, A. F. S., Reis, A. M. S., & Silva, L. M. C. (2016) · Pesquisa Veterinária Brasileira · doi:10.1590/s0100-736x2016000700010
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da Silva, J. C. O. R. (2017) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · doi:10.34626/2kh7-wb32
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Ma, X., Park, C., Lin, H., Andrews, S., & Chang, J. (2017) · Journal of Hospital Administration · doi:10.5430/jha.v6n2p59
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BackgroundBennion, N. (2021) · Digital Commons - USU (Utah State University) · doi:10.26076/5ab1-5d0c
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BackgroundHASSAN, I. R., Adesokan, A. A., & Odeyemi, O. T. (2020) · American Journal of Health Medicine and Nursing Practice · doi:10.47672/ajhmn.607
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Kucera, C. L., Stoll, J. F., Fraser, C., Leonard, J. C., & Shelton, P. (2007) · Springer eBooks · doi:10.1007/0-387-23490-x_30
Dennis, C., Campbell, P., Watson, J. D., Crick, F. H. C., Wilkins, M. H. F., STOKES, A. R., Wilson, H. R., FRANKLIN, R. E., Gosling, R. G., Olby, R., et al. (2003) · Palgrave Macmillan UK eBooks · doi:10.1007/978-1-137-11781-6_11 · Cited by 1
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Paich, M., Peck, C., & Valant, J. J. (2004) · CRC Press eBooks · doi:10.1201/9780203492529-8
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“By 2050, this is projected at >29 million people—a 165% increase over the 2000 level [1].”
BackgroundTahir, F. N., Ali, H. R., & Taqi, I. (2022) · Gomal Journal of Medical Sciences · doi:10.46903/gjms/20.01.1078
Martínez-Pérez, P., Orozco‐Beltrán, D., Pomares, F., Gil-Guillén, V. F., Quesada, J. A., López‐Pineda, A., Nouni-García, R., & Carratalá‐Munuera, C. (2022) · Journal of Healthcare Quality Research · doi:10.1016/j.jhqr.2022.06.003 · Cited by 2
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Maral, İ., Tütüncü, N. B., Bakar, Ç., Durukan, E., Budakoğlu, I. I. R., Özkan, S., Ayçan, S., Aygün, R., & Bumin, M. A. (2010) · Journal of Investigative Medicine · doi:10.2310/jim.0b013e3181e44921
Vudu, S., Dusa, I., Arnaut, O., Șeremet, A., Furdui, V., Bacinschi-Gheorghiţă, S., Ambros, T., Munteanu, D., Piterschi, C., & Vudu, L. (2024) · Moldovan Journal of Health Sciences · doi:10.52645/mjhs.2024.1.04
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BackgroundKattakayam, R. T. (2022) · Digital Archive @ GSU · doi:10.57709/1293516
Hales, T. N. (2015) · Aquila Digital Community (University of Southern Mississippi)
Wang, M., He, Y., He, Q., 邸阜生, Zou, K., Wang, W., & Sun, X. (2024) · Figshare · doi:10.6084/m9.figshare.24742957
Wang, M., He, Y., He, Q., 邸阜生, Zou, K., Wang, W., & Sun, X. (2023) · Figshare · doi:10.6084/m9.figshare.24741902
Maksimovic, N., Cvjeticanin, O., Rossi, C., Manojlović, M., Roklicer, R., Bianco, A., Carraro, A., Sekulić, D., Milovančev, A., Trivić, T., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25045568
Halalau, A., Ince, M. S., Uddin, A., Karabon, P., Scherzer, Z. A., & Keeney, S. (2022) · Figshare · doi:10.6084/m9.figshare.19373388
Batir, D. M., Boev, M., Gurău, G., Matei, M. N., Nechita, A., & Maftei, N.-M. (2026) · IntechOpen eBooks · doi:10.5772/intechopen.1014475
Tripathi, R., Mishra, N., Pandey, D., Shah, K., & Chauhan, N. S. (2026) · Comparative Clinical Pathology · doi:10.1007/s00580-026-03794-y
The coordinated actions of metformin in the intestine and liver improves hyperglycemia
He, L., An, H., Ramirez, K., Radovick, S., & Wondisford, F. E. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117791 · Cited by 1
Metadata
- Authors
- Boyle, J. P., Honeycutt, A. A., Narayan, K. M. V., Hoerger, T. J., Geiss, L. S., Chen, H., & Thompson, T. J.
- Affiliations
- Centers for Disease Control and Prevention (US)
- RTI International (US)
- ORCID
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2001-11-01
- Volume
- 24
- Issue
- 11
- Pages
- 1936-1940
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2060151575
- Cited by
- 1,004
- References
- 14
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 23 · 2023: 16 · 2022: 27 · 2021: 27 · 2020: 23 · 2019: 28 · 2018: 25 · 2017: 30 · 2016: 50 · 2015: 30 · 2014: 46 · 2013: 50 · 2012: 59
- FWCI
- 29.64
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- diabetes prevalence, population projections, age-specific prevalence, racial and ethnic disparities, older adults, Black men, population growth, diabetes epidemiology, United States
- MeSH terms
- Adolescent, Adult, Aged, Black or African American, Child, Demography, Diabetes Mellitus, Ethnicity, Female, Forecasting, Humans, Male, Middle Aged, Sex Factors, United States, Prevalence, Cost of Illness, Age Distribution, White People, Racial Groups
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