Cited by 10,792Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and ResearchDiabetes and associated disorders

Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition

Saeedi, Pouya, Petersohn, Inga, Salpea, Paraskevi, Malanda, Belma, Karuranga, Suvi, Unwin, Nigel, Colagiuri, Stephen, Guariguata, Leonor +5 more·2019·Diabetes Research and Clinical Practice

Abstract

Aims To provide global estimates of diabetes prevalence for 2019 and projections for 2030 and 2045. Methods A total of 255 high-quality data sources, published between 1990 and 2018 and representing 138 countries were identified. For countries without high quality in-country data, estimates were extrapolated from similar countries matched by economy, ethnicity, geography and language. Logistic regression was used to generate smoothed age-specific diabetes prevalence estimates (including previously undiagnosed diabetes) in adults aged 20-79 years. Results The global diabetes prevalence in 2019 is estimated to be 9.3% (463 million people), rising to 10.2% (578 million) by 2030 and 10.9% (700 million) by 2045. The prevalence is higher in urban (10.8%) than rural (7.2%) areas, and in high-income (10.4%) than low-income countries (4.0%). One in two (50.1%) people living with diabetes do not know that they have diabetes. The global prevalence of impaired glucose tolerance is estimated to be 7.5% (374 million) in 2019 and projected to reach 8.0% (454 million) by 2030 and 8.6% (548 million) by 2045. Conclusions Just under half a billion people are living with diabetes worldwide and the number is projected to increase by 25% in 2030 and 51% in 2045.

Integrity signals

Registry

Crossref · 10.1016/j.diabres.2019.107843

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Saeedi, P., Petersohn, I., Salpea, P., Malanda, B., Karuranga, S., Unwin, N., Colagiuri, S., Guariguata, L., Motala, A. A., Ogurtsova, K., Shaw, J. E., Bright, D., & Williams, R.
Affiliations
  • International Diabetes Federation (BE)
  • University of Cambridge (GB)
  • The University of Sydney (AU)
  • University of the West Indies (BB)
  • University of KwaZulu-Natal (ZA)
  • Deutsches Diabetes-Zentrum e.V. (DE)
  • Baker Heart and Diabetes Institute (AU)
  • Swansea University (GB)
Corresponding author
Saeedi, Pouya
Venue
Diabetes Research and Clinical Practice
Publisher
Elsevier BV
Published
2019-11
Volume
157
Pages
107843
ISSN
0168-8227 (ISSN-L)
OpenAlex
W2972869264
Cited by
10,792
References
1
Citations by year
2026: 1040 · 2025: 1578 · 2024: 1817 · 2023: 1760 · 2022: 2035 · 2021: 1841 · 2020: 701 · 2019: 5 · 2018: 2 · 2016: 1 · 2013: 2
FWCI
606.33
Type
journal article
Language
en
Open access
closed
Locations
  • Diabetes Research and Clinical Practice (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Pfizer-
  • MSD Alliance, with an additional support of Lilly Diabetes and Novo Nordisk
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, diabetes projections, age-specific prevalence, undiagnosed diabetes, impaired glucose tolerance, urban-rural differences
MeSH terms
Adult, Aged, Diabetes Mellitus, Female, Forecasting, Humans, Male, Middle Aged, Global Health, Prevalence, History, 21st Century, 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