Prevalence of Diabetes and Impaired Glucose Tolerance and Plasma Glucose Levels in U.S. Population Aged 20–74 Yr
Abstract
The prevalence of physician-diagnosed diabetes and of undiagnosed diabetes and impaired glucose tolerance (IGT) that meet National Diabetes Data Group (NDDG) and World Health Organization (WHO) criteria have been estimated for the U.S. population aged 20–74 yr from the 1976–1980 National Health and Nutrition Examination Survey. This survey included a demographic/medical history questionnaire administered in the participant's home and a detailed examination composed of a physician's exam, special clinical procedures, other tests, and collection of blood and urine specimens. Survey participants were selected from 1970 census data through a stratified multistage probability sampling scheme. Of 17,390 eligible residents aged 20–74 yr, 15,357 (88.3%) participated in the interview and are the basis for estimates of diagnosed diabetes; 11,858 (68%) participated in the exam. A half sample of 5901 examinees was selected to receive a 75-g oral glucose tolerance test (OGTT) performed in the morning after an overnight 10- to 16-h fast. Of these examinees, valid OGTT data were obtained for 3772 people without a medical history of diabetes, and these are the basis for estimates of undiagnosed diabetes and IGT. The major reasons for incomplete OGTT data were inability of participants to attend the examination center in the morning and lack of adherence to the fasting instructions. Despite the relatively low response rates, evidence is presented that data on both the interviewed sample and those receiving the OGTT, when adjusted for the 1970–1980 census characteristics by age, race, sex, income, and geographic location, are representative of the U.S. population. Extrapolation of these data to the U.S. population aged 20–74 yr indicates a total diabetes prevalence of 6.6% by NDDG criteria, or more than 8 million people with diabetes. The prevalence of undiagnosed diabetes (3.2%) was almost equal to that of previously diagnosed diabetes (3.4%). Total rates of diabetes increased with age, from 2.0% at age 20–44 yr to 17.7% at age 65–74 yr. Rates were approximately equal by sex but were greater in Blacks than in Whites. The prevalence of undiagnosed diabetes by WHO criteria (3.4%) was similar to that by NDDG criteria, but the rate of impaired glucose tolerance (11.2%) was more than twice the NDDG estimate (4.6%). Both obesity and parental history of diabetes were associated with significantly higher rates of diabetes and IGT. Fasting plasma glucose was relatively insensitive to age, but 1-h and 2-h post-75-g glucose values increased significantly with age.
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BackgroundMetabolic Changes in Persons After Spinal Cord Injury
Bauman, W. A., & Spungen, A. M. (2000) · Physical Medicine and Rehabilitation Clinics of North America · doi:10.1016/s1047-9651(18)30150-5 · Cited by 229 · see citing works
Non-insulin-dependent diabetes mellitus
Hales, C. N. (1997) · British Medical Bulletin · doi:10.1093/oxfordjournals.bmb.a011594 · Cited by 222 · see citing works
Puavilai, G., Chanprasertyotin, S., & Sriphrapradaeng, A. (1999) · Diabetes Research and Clinical Practice · doi:10.1016/s0168-8227(99)00008-x · Cited by 221 · see citing works
“As many as about 50% of adults with diabetes in the USA are undiagnosed [14,15], depending on the diagnostic criteria used and the study population.”
BackgroundDiabetes as a risk factor for stroke. A population perspective
Stegmayr, B. G., & Asplund, K. (1995) · Diabetologia · doi:10.1007/bf00402176 · Cited by 231 · see citing works
“The prevalence of undiagnosed diabetes in northern Sweden was 2.6 % (men and women together) and in the United States study 3.2 % [ 20 ].”
BackgroundInfluentialImproving self-care among older patients with type II diabetes: The “sixty something…” Study
Glasgow, R. E., Toobert, D. J., Hampson, S. E., Brown, J., Lewinsohn, P. M., & Donnelly, J. (1992) · Patient Education and Counseling · doi:10.1016/0738-3991(92)90102-o · Cited by 219 · see citing works
Nelson, R. G., Newman, J. M., Knowler, W. C., Sievers, M. L., Kunzelman, C. L., Pettitt, D. J., Moffett, C. D., Teutsch, S. M., & Bennett, P. H. (1988) · Diabetologia · doi:10.1007/bf00274774 · Cited by 218 · see citing works
Self-citation
- Authors
- Harris, M. I., Hadden, W. C., Knowler, W. C., & Bennett, P. H.
- Affiliations
- National Institutes of Health (US)
- National Center for Health Statistics (US)
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 1987-04-01
- Volume
- 36
- Issue
- 4
- Pages
- 523-534
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2152582537
- Cited by
- 1,096
- References
- 0
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 5 · 2023: 4 · 2022: 3 · 2021: 6 · 2020: 3 · 2019: 9 · 2018: 12 · 2017: 12 · 2016: 12 · 2015: 8 · 2014: 12 · 2013: 25 · 2012: 18
- FWCI
- 22.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes (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, undiagnosed diabetes, impaired glucose tolerance, oral glucose tolerance test, NHANES, sex differences in diabetes, diabetes epidemiology, National Diabetes Data Group criteria, WHO criteria, fasting blood glucose
- MeSH terms
- Adult, Age Factors, Aged, Black or African American, Blood Glucose, Diabetes Mellitus, Female, Glucose Tolerance Test, Health Surveys, Humans, Male, Middle Aged, Sex Factors, United States, White People
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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