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. 2007 May;50(5):934-40.
doi: 10.1007/s00125-006-0528-5. Epub 2006 Nov 21.

Impact of the population at risk of diabetes on projections of diabetes burden in the United States: an epidemic on the way

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Impact of the population at risk of diabetes on projections of diabetes burden in the United States: an epidemic on the way

A G Mainous 3rd et al. Diabetologia. 2007 May.

Abstract

Aims/hypothesis: The aim of this study was to make projections of the future diabetes burden for the adult US population based in part on the prevalence of individuals at high risk of developing diabetes.

Materials and methods: Models were created from data in the nationally representative National Health and Nutrition Examination Survey (NHANES) II mortality survey (1976-1992), the NHANES III (1988-1994) and the NHANES 1999-2002. Population models for adults (>20 years of age) from NHANES III data were fitted to known diabetes prevalence in the NHANES 1999-2002 before making future projections. We used a multivariable diabetes risk score to estimate the likelihood of diabetes incidence in 10 years. Estimates of future diabetes (diagnosed and undiagnosed) prevalence in 2011, 2021, and 2031 were made under several assumptions.

Results: Based on the multivariable diabetes risk score, the number of adults at high risk of diabetes was 38.4 million in 1991 and 49.9 million in 2001. The total diabetes burden is anticipated to be 11.5% (25.4 million) in 2011, 13.5% (32.6 million) in 2021, and 14.5% (37.7 million) in 2031. Among individuals aged 30 to 39 years old who are not currently targeted for screening according to age, the prevalence of diabetes is expected to rise from 3.7% in 2001 to 5.2% in 2031. By 2031, 20.2% of adult Hispanic individuals are expected to have diabetes.

Conclusions/interpretation: The prevalence of diabetes is projected to rise to substantially greater levels than previously estimated. Diabetes prevalence within the Hispanic community is projected to be potentially overwhelming.

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References

    1. {'text': '', 'ref_index': 1, 'ids': [{'type': 'PubMed', 'value': '15172919', 'is_inner': True, 'url': 'https://pubmed.ncbi.nlm.nih.gov/15172919/'}]}
    2. Englegau MM, Geiss LS, Saaddine JB et al (2004) The evolving diabetes burden in the United States. Ann Intern Med 140:945–950 - PubMed
    1. None
    2. Newnham A, Ryan R, Khunti K, Majeed A (2002) Prevalence of diagnosed diabetes mellitus in general practice in England and Wales, 1994 to 1998. Health Stat Q 14:5–13
    1. {'text': '', 'ref_index': 1, 'ids': [{'type': 'DOI', 'value': '10.1056/NEJMp068008', 'is_inner': False, 'url': 'https://doi.org/10.1056/nejmp068008'}, {'type': 'PubMed', 'value': '16467539', 'is_inner': True, 'url': 'https://pubmed.ncbi.nlm.nih.gov/16467539/'}]}
    2. Steinbrook R (2006) Facing the diabetes epidemic—mandatory reporting of glycosylated hemoglobin values in New York City. N Engl J Med 345:545–548 - PubMed
    1. {'text': '', 'ref_index': 1, 'ids': [{'type': 'DOI', 'value': '10.1001/jama.286.10.1195', 'is_inner': False, 'url': 'https://doi.org/10.1001/jama.286.10.1195'}, {'type': 'PubMed', 'value': '11559264', 'is_inner': True, 'url': 'https://pubmed.ncbi.nlm.nih.gov/11559264/'}]}
    2. Mokdad AH, Bowman BA, Ford ES, Vinicor F, Marks JS, Koplan JP (2001) The continuing epidemics of obesity and diabetes in the United States. JAMA 286:1195–1200 - PubMed
    1. {'text': '', 'ref_index': 1, 'ids': [{'type': 'DOI', 'value': '10.1023/A:1024467522972', 'is_inner': False, 'url': 'https://doi.org/10.1023/a:1024467522972'}, {'type': 'PubMed', 'value': '12943151', 'is_inner': True, 'url': 'https://pubmed.ncbi.nlm.nih.gov/12943151/'}]}
    2. Honeycutt AA, Boyle JP, Broglio KR et al (2003) A dynamic Markov model for forecasting diabetes prevalence in the United States through 2050. Health Care Manage Sci 6:155–164 - PubMed

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