Fluctuations in the incidence of type 1 diabetes in the United States from 2001 to 2015: a longitudinal study
Open accessAbstract
BACKGROUND: While the United States has the largest number of children with type 1 diabetes mellitus, less is known regarding adult-onset disease. The present study utilizes nationwide data to compare the incidence of type 1 diabetes in youth (0-19 years) to that of adults (20-64 years). METHODS: In this longitudinal study, the Clinformatics® Data Mart Database was used, which contains information from 61 million commercially insured Americans (years 2001-2015). Incidence rates and exact Poisson 95% confidence intervals were calculated by age group, sex, census division, and year of diagnosis. Changes in rates over time were assessed by negative binomial regression. RESULTS: Overall, there were 32,476 individuals who developed type 1 diabetes in the cohort. The incidence rate was greatest in youth aged 10-14 years (45.5 cases/100,000 person-years); however, because adulthood spans over a longer period than childhood, there was a greater number of new cases in adults than in youth (n = 19,174 adults; n = 13,302 youth). Predominance in males was evident by age 10 and persisted throughout adulthood. The male to female incidence rate ratio was 1.32 (95% CI 1.30-1.35). The incidence rate of type 1 diabetes in youth increased by 1.9% annually from 2001 to 2015 (95% CI 1.1-2.7%; P < 0.001), but there was variation across regions. The greatest increases were in the East South Central (3.8%/year; 95% CI 2.0-5.6%; P < 0.001) and Mountain divisions (3.1%/year; 95% CI 1.6-4.6%; P < 0.001). There were also increases in the East North Central (2.7%/year; P = 0.010), South Atlantic (2.4%/year; P < 0.001), and West North Central divisions (2.4%/year; P < 0.001). In adults, however, the incidence decreased from 2001 to 2015 (-1.3%/year; 95% CI -2.3% to -0.4%; P = 0.007). Greater percentages of cases were diagnosed in January, July, and August for both youth and adults. The number of new cases of type 1 diabetes (ages 0-64 years) in the United States is estimated at 64,000 annually (27,000 cases in youth and 37,000 cases in adults). CONCLUSIONS: There are more new cases of type 1 diabetes occurring annually in the United States than previously recognized. The increase in incidence rates in youth, but not adults, suggests that the precipitating factors of youth-onset disease may differ from those of adult-onset disease.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the USA Clinformatics Data Mart Database for 2001-2015, type 1 diabetes mellitus incidence was 29.2 per 100,000 in those aged 60-64 years, the highest among age groups 20-64 years.
“A longitudinal study using the Clinformatics Data Mart Database in the USA for 2001–2015 reported an incidence of 29.2 per 100,000 people (95% CI 28.0–30.4) in those aged 60–64 years15; no data were available for ages above 64 years. The incidence was highest in the oldest age group (60–64 years) out of all age groups for ages 20–64 years.”
From The epidemiology of type 1 diabetes mellitus in older adults (2025) · cites this paper as [15]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Atkinson, M. A., Eisenbarth, G. S., & Michels, A. W. (2014) · The Lancet · doi:10.1016/s0140-6736(13)60591-7 · Cited by 2,713 · see citing works
Adult-Onset Autoimmune Diabetes in Europe Is Prevalent With a Broad Clinical Phenotype
Hawa, M. I., Kolb, H., Schloot, N., Beyan, H., Paschou, S. A., Buzzetti, R., Mauricio, D., De Leiva, A., Yderstraede, K., Beck-Neilsen, H., et al. (2013) · Diabetes Care · doi:10.2337/dc12-0931 · Cited by 339 · see citing works
Global epidemiology of type 1 diabetes in young adults and adults: a systematic review
Diaz-Valencia, P. A., Bougnères, P., & Valleron, A.-J. (2015) · BMC Public Health · doi:10.1186/s12889-015-1591-y · Cited by 294 · see citing works
Maddaloni, E., Lessan, N., Al Tikriti, A., Buzzetti, R., Pozzilli, P., & Barakat, M. T. (2015) · PLOS ONE · doi:10.1371/journal.pone.0131837 · Cited by 93 · see citing works
Flagged first, then by citations
Research works printed but not linked: 23
- [1]Patterson C Guariguata L Dahlquist G Soltész G Ogle G Silink M Diabetes in the young - a global view and worldwide estimates of numbers of children with type 1 diabetes Diabetes Res Clin Pract 2014 103 2 161 175 10.1016/j.diabres.2013.11.005 24331235 · DOI
- [2]Hamman RF Bell RA Dabelea D D’Agostino RB Dolan L Imperatore G Lawrence JM Linder B Marcovina SM Mayer-Davis EJ Pihoker C Rodriguez BL Saydah S SEARCH for Diabetes in Youth Study Group. The SEARCH for Diabetes in Youth Study: rationale, findings, and future directions Diabetes Care 2014 37 12 3336 3344 10.2337/dc14-0574 25414389 PMC4237981 · DOI
- [4]Bruno G Gruden G Songini M Incidence of type 1 diabetes in age groups above 15 years: facts, hypothesis and prospects for future epidemiologic research Acta Diabetol 2016 53 3 339 347 10.1007/s00592-015-0835-8 26787492 · DOI
- [6]Chiang JL Kirkman MS Laffel LM Peters AL Type 1 Diabetes Sourcebook Authors. Type 1 diabetes through the life span: a position statement of the American Diabetes Association Diabetes Care 2014 37 7 2034 2054 10.2337/dc14-1140 24935775 PMC5865481 · DOI
- [8]Kumar A Leiva A Latent autoimmune diabetes in adults (LADA) in Asian and European populations Diabetes Metab Res Rev. 2017 33 e2890 10.1002/dmrr.2890 28198081 · DOI
- [9]Zhong VW Pfaff ER Beavers DP Thomas J Jaacks LM Bowlby DA Carey TS Lawrence JM Dabelea D Hamman RF Pihoker C Saydah SH Mayer-Davis EJ Search for Diabetes in Youth Study Group. Use of administrative and electronic health record data for development of automated algorithms for childhood diabetes case ascertainment and type classification: the SEARCH for Diabetes in Youth Study Pediatr Diabetes 2014 15 8 573 584 10.1111/pedi.12152 24913103 PMC4229415 · DOI
- [10]Vanderloo SE Johnson JA Reimer K McCrea P Nuernberger K Krueger H Aydede SK Collet JP Amed S Validation of classification algorithms for childhood diabetes identified from administrative data Pediatr Diabetes 2012 13 3 229 234 10.1111/j.1399-5448.2011.00795.x 21771232 · DOI
- [12]Moltchanova EV Schreier N Lammi N Karvonen M Seasonal variation of diagnosis of Type 1 diabetes mellitus in children worldwide Diabet Med 2009 26 673 678 10.1111/j.1464-5491.2009.02743.x 19573115 · DOI · Paper page
- [13]Mayer-Davis EJ Lawrence JM Dabelea D Divers J Isom S Dolan L Imperatore G Linder B Marcovina S Pettitt DJ Pihoker C Saydah S Wagenknecht L SEARCH for Diabetes in Youth Study. Incidence trends of type 1 and type 2 diabetes among youths, 2002–2012 N Engl J Med 2017 376 15 1419 1429 10.1056/NEJMoa1610187 28402773 PMC5592722 · DOI · Paper page
- [14]Thunander M Petersson C Jonzon K Fornander J Ossiansson B Torn C Edvardsson S Landin-Olsson M Incidence of type 1 and type 2 diabetes in adults and children in Kronoberg Sweden. Diabetes Res Clin Pract. 2008 82 2 247 255 10.1016/j.diabres.2008.07.022 18804305 · DOI · Paper page
- [15]Bruno G Runzo C Cavallo-Perin P Merletti F Rivetti M Pinach S Novelli G Trovati M Cerutti F Pagano G Piedmont Study Group for Diabetes Epidemiology Incidence of type 1 and type 2 diabetes in adults aged 30–49 years: the population-based registry in the province of Turin, Italy Diabetes Care 2005 28 11 2613 2619 10.2337/diacare.28.11.2613 16249528 · DOI
- [17]Maahs DM West NA Lawrence JM Mayer-Davis EJ Epidemiology of type 1 diabetes Endocrinol Metab Clin North Am 2010 39 3 481 497 10.1016/j.ecl.2010.05.011 20723815 PMC2925303 · DOI · Paper page
- [18]Lawrence JM Imperatore G Dabelea D Mayer-Davis EJ Linder B Saydah S Klingensmith GJ Dolan L Standiford DA Pihoker C Pettitt DJ Talton JW Thomas J Bell RA D’Agostino RB Jr SEARCH for Diabetes in Youth Study Group. Trends in incidence of type 1 diabetes among non-Hispanic white youth in the U.S., 2002–2009. Diabetes 2014 63 11 3938 3945 10.2337/db13-1891 24898146 PMC4207387 · DOI
- [19]Patterson CC Gyürüs E Rosenbauer J Cinek O Neu A Schober E Parslow RC Joner G Svensson J Castell C Bingley PJ Schoenle E Jarosz-Chobot P Urbonaité B Rothe U Krzisnik C Ionescu-Tirgoviste C Weets I Kocova M Stipancic G Samardzic M de Beaufort CE Green A Dahlquist GG Soltész G Trends in childhood type 1 diabetes incidence in Europe during 1989–2008: evidence of non-uniformity over time in rates of increase Diabetologia 2012 55 8 2142 2147 10.1007/s00125-012-2571-8 22638547 · DOI · Paper page
- [21]Eisenbarth GS Type I diabetes mellitus. A chronic autoimmune disease N Engl J Med 1986 314 21 1360 1368 10.1056/NEJM198605223142106 3517648 · DOI
- [22]Usher-Smith JA Thompson MJ Zhu H Sharp SJ Walter FM The pathway to diagnosis of type 1 diabetes in children: a questionnaire study BMJ Open. 2015 5 e006470 10.1136/bmjopen-2014-006470 25783422 PMC4368911 · DOI
- [23]Rhodes ET Laffel LM Gonzalez TV Ludwig DS Accuracy of administrative coding for type 2 diabetes in children, adolescents, and young adults Diabetes Care 2007 30 1 141 143 10.2337/dc06-1142 17192348 · DOI
- [24]Spaans EA Kleefstra N van Hateren KJ Aanstoot HJ Bilo HJ Brand PL Metformin in adolescents and adults with type 1 diabetes mellitus: not evidence-based Ned Tijdschr Geneeskd 2011 155 39 A3166 21961686
- [25]Østergaard JA Laugesen E Leslie RD Should there be concern about autoimmune diabetes in adults? Current evidence and controversies Curr Diab Rep 2016 16 9 82 10.1007/s11892-016-0780-0 27457237 · DOI
- [26]Rolandsson O Palmer JP Latent autoimmune diabetes in adults (LADA) is dead: long live autoimmune diabetes! Diabetologia. 2010 53 7 1250 1253 10.1007/s00125-010-1713-0 20336277 · DOI
- [27]Schwartz SS Epstein S Corkey BE Grant SF Gavin JR Aguilar RB The time is right for a new classification system for diabetes: rationale and implications of the β-cell-centric classification schema Diabetes Care 2016 39 2 179 186 10.2337/dc15-1585 26798148 PMC5317235 · DOI
- [30]Bruno G Maule M Biggeri A Ledda A Mannu C Merletti F Songini M Sardinian Group for Diabetes Epidemiology More than 20 years of registration of type 1 diabetes in Sardinian children: temporal variations of incidence with age, period of diagnosis, and year of birth Diabetes 2013 62 10 3542 3546 10.2337/db12-1771 23835336 PMC3781461 · DOI
- [31]Yip PS Bruno G Tajima N Seber GA Buckland ST Cormack RM Unwin N Chang Y Fienberg SE Junker BW LaPorte RE Capture-recapture and multiple-record systems estimation II: applications in human diseases Am J Epidemiol 1995 142 10 1059 1068 7485051
Cited by
Sorted by citations
DiMeglio, L. A., Evans-Molina, C., & Oram, R. A. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31320-5 · Cited by 1,561 · see citing works
Cost and cost-effectiveness of large-scale screening for type 1 diabetes in Colorado
McQueen, R. B., Geno Rasmussen, C., Waugh, K., Frohnert, B. I., Steck, A. K., Yu, L., Baxter, J., & Rewers, M. (2020) · Diabetes Care · doi:10.2337/dc19-2003 · Cited by 138 · see citing works
Current understandings of the pathogenesis of type 1 diabetes: genetics to environment
Giwa, A. M., Ahmed, R., Omidian, Z., Majety, N., Karakus, K. E., Omer, S. M., Donner, T., & Hamad, A. R. A. (2020) · World Journal of Diabetes · doi:10.4239/wjd.v11.i1.13 · Cited by 137 · see citing works
The epidemiology of type 1 diabetes mellitus in older adults
Tomic, D., Harding, J. L., Jenkins, A. J., Shaw, J. E., & Magliano, D. J. (2025) · Nature Reviews Endocrinology · doi:10.1038/s41574-024-01046-z · Cited by 58 · see citing works
“A longitudinal study using the Clinformatics Data Mart Database in the USA for 2001–2015 reported an incidence of 29.2 per 100,000 people (95% CI 28.0–30.4) in those aged 60–64 years 15 ; no data were available for ages above 64 years.”
InfluentialNational trends in pediatric admissions for diabetic ketoacidosis, 2006–2016
Everett, E. M., Copeland, T. P., Moin, T., & Wisk, L. E. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab287 · Cited by 38 · see citing works
Lawrence, J. M., Slezak, J. M., Quesenberry, C., Li, X., Yu, L., Rewers, M., Alexander, J. G., Takhar, H. S., Sridhar, S., Albright, A., et al. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108624 · Cited by 34 · see citing works
- Authors
- Rogers, M. A. M., Kim, C., Banerjee, T., & Lee, J. M.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Rogers, Mary A. M.
- Venue
- BMC Medicine
- Published
- 2017-11-08
- Volume
- 15
- Issue
- 1
- Pages
- 199-199
- ISSN
- 1741-7015 (ISSN-L)
- PMC
- PMC5688827
- OpenAlex
- W2768019234
- Cited by
- 208
- References
- 4
- Citations by year
- 2026: 18 · 2025: 26 · 2024: 22 · 2023: 19 · 2022: 43 · 2021: 26 · 2020: 30 · 2019: 13 · 2018: 11
- FWCI
- 9.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health (ULTR000433)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- type 1 diabetes, incidence trends, adult-onset type 1 diabetes, type 1 diabetes in children, sex differences in incidence, regional variation, temporal trends, commercially insured population, diabetes epidemiology, United States
- MeSH terms
- Adolescent, Adult, Child, Child, Preschool, Diabetes Mellitus, Type 1, Female, Humans, Infant, Infant, Newborn, Longitudinal Studies, Male, Middle Aged, United States, Incidence, Age of Onset, Young Adult
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review