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Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study
BACKGROUND: National and global recommendations for BMI cutoffs to trigger action to prevent obesity-related complications like type 2 diabetes among non-White populations are questionable. We aimed to prospectively identify ethnicity-specific BMI cutoffs for obesity based on the risk of type 2 diab...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Lancet, Diabetes & Endocrinology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208895/ https://www.ncbi.nlm.nih.gov/pubmed/33989535 http://dx.doi.org/10.1016/S2213-8587(21)00088-7 |
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author | Caleyachetty, Rishi Barber, Thomas M Mohammed, Nuredin Ibrahim Cappuccio, Francesco P Hardy, Rebecca Mathur, Rohini Banerjee, Amitava Gill, Paramjit |
author_facet | Caleyachetty, Rishi Barber, Thomas M Mohammed, Nuredin Ibrahim Cappuccio, Francesco P Hardy, Rebecca Mathur, Rohini Banerjee, Amitava Gill, Paramjit |
author_sort | Caleyachetty, Rishi |
collection | PubMed |
description | BACKGROUND: National and global recommendations for BMI cutoffs to trigger action to prevent obesity-related complications like type 2 diabetes among non-White populations are questionable. We aimed to prospectively identify ethnicity-specific BMI cutoffs for obesity based on the risk of type 2 diabetes that are risk-equivalent to the BMI cutoff for obesity among White populations (≥30 kg/m(2)). METHODS: In this population-based cohort study, we used electronic health records across primary care (Clinical Practice Research Datalink) linked to secondary care records (Hospital Episodes Statistics) from a network of general practitioner practices in England. Eligible participants were aged 18 years or older, without any past or current diagnosis of type 2 diabetes, had a BMI of 15·0–50·0 kg/m(2) 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: 1 472 819 people were included in our study, of whom 1 333 816 (90·6%) were White, 75 956 (5·2%) were south Asian, 49 349 (3·4%) were Black, 10 934 (0·7%) were Chinese, and 2764 (0·2%) were Arab. After a median follow-up of 6·5 years (IQR 3·2–11·2), 97 823 (6·6%) of 1 472 819 individuals were diagnosed with type 2 diabetes. For the equivalent age-adjusted and sex-adjusted incidence of type 2 diabetes at a BMI of 30·0 kg/m(2) in White populations, the BMI cutoffs were 23·9 kg/m(2) (95% CI 23·6–24·0) in south Asian populations, 28·1 kg/m(2) (28·0–28·4) in Black populations, 26·9 kg/m(2) (26·7–27·2) in Chinese populations, and 26·6 kg/m(2) (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. |
format | Online Article Text |
id | pubmed-8208895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Lancet, Diabetes & Endocrinology |
record_format | MEDLINE/PubMed |
spelling | pubmed-82088952021-07-01 Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study Caleyachetty, Rishi Barber, Thomas M Mohammed, Nuredin Ibrahim Cappuccio, Francesco P Hardy, Rebecca Mathur, Rohini Banerjee, Amitava Gill, Paramjit Lancet Diabetes Endocrinol Articles BACKGROUND: National and global recommendations for BMI cutoffs to trigger action to prevent obesity-related complications like type 2 diabetes among non-White populations are questionable. We aimed to prospectively identify ethnicity-specific BMI cutoffs for obesity based on the risk of type 2 diabetes that are risk-equivalent to the BMI cutoff for obesity among White populations (≥30 kg/m(2)). METHODS: In this population-based cohort study, we used electronic health records across primary care (Clinical Practice Research Datalink) linked to secondary care records (Hospital Episodes Statistics) from a network of general practitioner practices in England. Eligible participants were aged 18 years or older, without any past or current diagnosis of type 2 diabetes, had a BMI of 15·0–50·0 kg/m(2) 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: 1 472 819 people were included in our study, of whom 1 333 816 (90·6%) were White, 75 956 (5·2%) were south Asian, 49 349 (3·4%) were Black, 10 934 (0·7%) were Chinese, and 2764 (0·2%) were Arab. After a median follow-up of 6·5 years (IQR 3·2–11·2), 97 823 (6·6%) of 1 472 819 individuals were diagnosed with type 2 diabetes. For the equivalent age-adjusted and sex-adjusted incidence of type 2 diabetes at a BMI of 30·0 kg/m(2) in White populations, the BMI cutoffs were 23·9 kg/m(2) (95% CI 23·6–24·0) in south Asian populations, 28·1 kg/m(2) (28·0–28·4) in Black populations, 26·9 kg/m(2) (26·7–27·2) in Chinese populations, and 26·6 kg/m(2) (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. The Lancet, Diabetes & Endocrinology 2021-07 /pmc/articles/PMC8208895/ /pubmed/33989535 http://dx.doi.org/10.1016/S2213-8587(21)00088-7 Text en © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Articles Caleyachetty, Rishi Barber, Thomas M Mohammed, Nuredin Ibrahim Cappuccio, Francesco P Hardy, Rebecca Mathur, Rohini Banerjee, Amitava Gill, Paramjit Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study |
title | Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study |
title_full | Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study |
title_fullStr | Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study |
title_full_unstemmed | Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study |
title_short | Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study |
title_sort | ethnicity-specific bmi cutoffs for obesity based on type 2 diabetes risk in england: a population-based cohort study |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208895/ https://www.ncbi.nlm.nih.gov/pubmed/33989535 http://dx.doi.org/10.1016/S2213-8587(21)00088-7 |
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