The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Diabesity: an overview of a rising epidemic
Abstract
'Diabesity' is the term for diabetes occurring in the context of obesity. In this review, we will overview the latest epidemiological data available describing the rising prevalence, health impact and economic impact of diabesity. We will also outline the measures required to slowdown this newly evolving epidemic. The global prevalence of diabetes in 2010 was 284 million people worldwide constituting around 6.4% of the world population, which is higher than was projected in earlier studies. Furthermore, the projections for 2030 show the prevalence to reach 439 million individuals comprising ~7.7% of the world population. The burden of diabetes on the world economy has been rising steadily in the last decade to reach $376 billion in 2010 and is expected to reach $490 billion in 2030. Diabesity represents a substantial economic burden as reflected by diabetes and obesity consuming 14 and 5.7% of the USA's total health expenditure, respectively, representing the highest known expenditure on diabesity worldwide. When costs associated with being overweight were also included, the upper limit of obesity expenditure rises to 9.1% of the USA's total healthcare expenditure. The highest recorded expenditure on diabetes alone was in Saudi Arabia consuming 21% of the country's total health expenditure, with no data available about the health expenditure on obesity. The health impact of diabesity is substantial to include long-term diabetic complications, reduction in health-related functioning, reduction of quality of life and reduced overall life expectancy. Long-term complications include myocardial infarction, cerebrovascular stroke and end-stage renal disease. Also recent advances have found that there is an association between chronic stress, depression and sleeping troubles to both diabetes and obesity. This century is the unprecedented diabetogenic era in human history. It is thus urgent to take steps including screening, prevention and early management in an attempt to control this evolving epidemic of diabesity.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global and societal implications of the diabetes epidemic
Zimmet, P., Alberti, K. G. M. M., & Shaw, J. (2001) · Nature · doi:10.1038/414782a · Cited by 5,883
Overweight, Obesity, and Depression: A Systematic Review and Meta-analysis of Longitudinal Studies
Luppino, F. S., de Wit, L. M., Bouvy, P. F., Stijnen, T., Cuijpers, P., Penninx, B. W. J. H., & Zitman, F. G. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.2 · Cited by 4,322
Prevalence of Diabetes among Men and Women in China
Yang, W., Lu, J., Weng, J., Jia, W., Ji, L., Xiao, J., Shan, Z., Liu, J., Tian, H., Ji, Q., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0908292 · Cited by 3,031
A genome-wide association study identifies novel risk loci for type 2 diabetes
Sladek, R., Rocheleau, G., Rung, J., Dina, C., Shen, L., Serre, D., Boutin, P., Vincent, D., Belisle, A., Hadjadj, S., et al. (2007) · Nature · doi:10.1038/nature05616 · Cited by 2,993
Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
Saxena, R., Voight, B. F., Lyssenko, V., Burtt, N. P., de Bakker, P. I. W., Chen, H., Roix, J. J., Kathiresan, S., Hirschhorn, J. N., Daly, M. J., et al. (2007) · Science · doi:10.1126/science.1142358 · Cited by 2,843
A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753
Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
Zeggini, E., Weedon, M. N., Lindgren, C. M., Frayling, T. M., Elliott, K. S., Lango, H., Timpson, N. J., Perry, J. R. B., Rayner, N. W., Freathy, R. M., et al. (2007) · Science · doi:10.1126/science.1142364 · Cited by 2,194
Impact of Overweight on the Risk of Developing Common Chronic Diseases During a 10-Year Period
Field, A. E., Coakley, E. H., Must, A., Spadano, J. L., Laird, N., Dietz, W. H., Rimm, E., & Colditz, G. A. (2001) · Archives of Internal Medicine · doi:10.1001/archinte.161.13.1581 · Cited by 1,694
Epidemic obesity and type 2 diabetes in Asia
Yoon, K.-H., Lee, J.-H., Kim, J.-W., Cho, J. H., Choi, Y.-H., Ko, S.-H., Zimmet, P., & Son, H.-Y. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69703-1 · Cited by 1,580
Global healthcare expenditure on diabetes for 2010 and 2030
Zhang, P., Zhang, X., Brown, J., Vistisen, D., Sicree, R., Shaw, J., & Nichols, G. (2010) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2010.01.026 · Cited by 1,145
Charbonnel, B., Karasik, A., Liu, J., Wu, M., Meininger, G., & for the Sitagliptin Study 020 Group (2006) · Diabetes Care · doi:10.2337/dc06-0706 · Cited by 790
Epigenetics: a molecular link between environmental factors and type 2 diabetes
Ling, C., & Groop, L. (2009) · Diabetes · doi:10.2337/db09-1003 · Cited by 617
Nguyen, D. M., & El-Serag, H. B. (2010) · Gastroenterology Clinics of North America · doi:10.1016/j.gtc.2009.12.014 · Cited by 531
DeFronzo, R. A., Hissa, M. N., Garber, A. J., Luiz Gross, J., Yuyan Duan, R., Ravichandran, S., Chen, R. S., & for the Saxagliptin 014 Study Group (2009) · Diabetes Care · doi:10.2337/dc08-1984 · Cited by 416
Screening for Obesity in Adults: Recommendations and Rationale
U.S. Preventive Services Task Force* (2003) · Annals of Internal Medicine · doi:10.7326/0003-4819-139-11-200312020-00012 · Cited by 347 · cited 2×
“As for obesity, there is mounting evidence that the BMI (weight in kilogram/ height in meter squared) is reliable and valid for detecting obese and overweight individuals with increased risk for morbidity and mortality [62].”
BackgroundThe global cost of nonoptimal blood pressure
Gaziano, T. A., Bitton, A., Anand, S., & Weinstein, M. C. (2009) · Journal of Hypertension · doi:10.1097/hjh.0b013e32832a9ba3 · Cited by 303
(1984) · doi:10.1007/978-1-4757-0743-4 · Cited by 223
Cited by
Lopez-Jimenez, F., Almahmeed, W., Bays, H., Cuevas, A., Di Angelantonio, E., le Roux, C. W., Sattar, N., Sun, M. C., Wittert, G., Pinto, F. J., et al. (2022) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwac187 · Cited by 362
Design of Novel Exendin-Based Dual Glucagon-like Peptide 1 (GLP-1)/Glucagon Receptor Agonists
Evers, A., Haack, T., Lorenz, M., Bossart, M., Elvert, R., Henkel, B., Stengelin, S., Kurz, M., Glien, M., Dudda, A., et al. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.7b00174 · Cited by 101
Delevatti, R. S., Bracht, C. G., Lisboa, S. D. C., Costa, R. R., Marson, E. C., Netto, N., & Kruel, L. F. M. (2019) · Sports Medicine - Open · doi:10.1186/s40798-019-0194-z · Cited by 46
Therapies for inter-relating diabetes and obesity – GLP-1 and obesity
Iepsen, E. W., Torekov, S. S., & Holst, J. J. (2014) · Expert Opinion on Pharmacotherapy · doi:10.1517/14656566.2014.965678 · Cited by 43
De Luca, M., Zese, M., Silverii, G. A., Ragghianti, B., Bandini, G., Forestieri, P., Zappa, M. A., Navarra, G., Foschi, D., Musella, M., et al. (2023) · Obesity Surgery · doi:10.1007/s11695-023-06909-4 · Cited by 28
Metadata
- Authors
- Farag, Y. M. K., & Gaballa, M. R.
- Venue
- Nephrology Dialysis Transplantation
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-11-02
- Volume
- 26
- Issue
- 1
- Pages
- 28-35
- ISSN
- 0931-0509 (ISSN-L)
- 1460-2385
- OpenAlex
- W2149372820
- Cited by
- 320
- References
- 17
- FWCI
- 15.63
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
