The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study
Open accessAbstract
BACKGROUND: ). METHODS: and complete ethnicity data, were registered with a general practitioner practice in England at any point between Sept 1, 1990, and Dec 1, 2018, and had at least 1 year of follow-up data. Patients with type 2 diabetes were identified by use of a CALIBER phenotyping algorithm. Self-reported ethnicity was collapsed into five main categories. Age-adjusted and sex-adjusted negative binomial regression models, with fractional polynomials for BMI, were fitted with incident type 2 diabetes and ethnicity data. FINDINGS: (26·5-27·0) in Arab populations. INTERPRETATION: Revisions of ethnicity-specific BMI cutoffs are needed to ensure that minority ethnic populations are provided with appropriate clinical surveillance to optimise the prevention, early diagnosis, and timely management of type 2 diabetes. FUNDING: National Institute for Health Research.
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“The BMI cutoff of age- and sex-adjusted incidence for type 2 diabetes that is equivalent to the cutoff of 25 kg/m2 in the White population is as low as 19.2 kg/m2 in South Asians [39].”
From Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity (2024) · cites this paper as [39]
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Data Resource Profile: Clinical Practice Research Datalink (CPRD)
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Martin, S. S., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Barone Gibbs, B., Beaton, A. Z., Boehme, A. K., et al. (2024) · Circulation · doi:10.1161/cir.0000000000001209 · Cited by 2,800
Martin, S. S., Aday, A. W., Allen, N. B., Almarzooq, Z., Anderson, C. A. M., Arora, P. K., Avery, C. L., Baker-Smith, C. M., Bansal, N., Beaton, A., et al. (2025) · Circulation · doi:10.1161/cir.0000000000001303 · Cited by 1,284
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Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity
Wu, Y., Li, D., & Vermund, S. H. (2024) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph21060757 · Cited by 332
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Metadata
- Authors
- Caleyachetty, R., Barber, T. M., Mohammed, N. I., Cappuccio, F. P., Hardy, R., Mathur, R., Banerjee, A., & Gill, P.
- Affiliations
- University Hospital Coventry (GB)
- Corresponding author
- Caleyachetty, Rishi
- ORCID
- Venue
- The Lancet Diabetes & Endocrinology
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 9
- Issue
- 7
- Pages
- 419-426
- ISSN
- 2213-8587 (ISSN-L)
- PMC
- PMC8208895
- OpenAlex
- W3162704165
- Cited by
- 429
- References
- 30
- Citations by year
- 2026: 87 · 2025: 100 · 2024: 82 · 2023: 81 · 2022: 61 · 2021: 18
- FWCI
- 45.46
- Type
- journal article
- Language
- en
- Update notices
- erratum (2021-07-01)
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Lancet Diabetes & Endocrinology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- South Asian Health Foundation
- National Institute for Health Research (PB-PG-1217\u201320038, 20038, PB-PG-1217)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- type 2 diabetes, obesity, body mass index, ethnic minorities, Arabs, diabetes risk, diabetes prevention, clinical surveillance
- MeSH terms
- Adult, Diabetes Mellitus, Type 2, England, Ethnicity, Female, Follow-Up Studies, Humans, Male, Middle Aged, Obesity, Population Surveillance, Risk Factors, Cohort Studies, Body Mass Index, Electronic Health Records
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