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Body mass index and type 2 diabetes in Thai adults: defining risk thresholds and population impacts
BACKGROUND: Body mass index (BMI) cut-off values (>25 and >30) that predict diabetes risk have been well validated in Caucasian populations but less so in Asian populations. We aimed to determine the BMI threshold associated with increased type 2 diabetes (T2DM) risk and to calculate the propo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5602842/ https://www.ncbi.nlm.nih.gov/pubmed/28915801 http://dx.doi.org/10.1186/s12889-017-4708-7 |
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author | Papier, Keren D’Este, Catherine Bain, Chris Banwell, Cathy Seubsman, Sam-ang Sleigh, Adrian Jordan, Susan |
author_facet | Papier, Keren D’Este, Catherine Bain, Chris Banwell, Cathy Seubsman, Sam-ang Sleigh, Adrian Jordan, Susan |
author_sort | Papier, Keren |
collection | PubMed |
description | BACKGROUND: Body mass index (BMI) cut-off values (>25 and >30) that predict diabetes risk have been well validated in Caucasian populations but less so in Asian populations. We aimed to determine the BMI threshold associated with increased type 2 diabetes (T2DM) risk and to calculate the proportion of T2DM cases attributable to overweight and obesity in the Thai population. METHODS: Participants were those from the Thai Cohort Study who were diabetes-free in 2005 and were followed-up in 2009 and 2013 (n = 39,021). We used multivariable logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the BMI-T2DM association. We modelled non-linear associations using restricted cubic splines. We estimated population attributable fractions (PAF) and the number of T2DM incident cases attributed to overweight and obesity. We also calculated the impact of reducing the prevalence of overweight and obesity on T2DM incidence in the Thai population. RESULTS: Non-linear modelling indicated that the points of inflection where the BMI-T2DM association became statistically significant compared to a reference of 20.00 kg/m(2) were 21.60 (OR = 1.27, 95% CI 1.00–1.61) and 20.03 (OR = 1.02, 95% CI 1.02–1.03) for men and women, respectively. Approximately two-thirds of T2DM cases in Thai adults could be attributed to overweight and obesity. Annually, if prevalent obesity was 5% lower, ~13,000 cases of T2DM might be prevented in the Thai population. CONCLUSIONS: A BMI cut-point of 22 kg/m(2), one point lower than the current 23 kg/m(2), would be justified for defining T2DM risk in Thai adults. Lowering obesity prevalence would greatly reduce T2DM incidence. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-017-4708-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5602842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56028422017-09-20 Body mass index and type 2 diabetes in Thai adults: defining risk thresholds and population impacts Papier, Keren D’Este, Catherine Bain, Chris Banwell, Cathy Seubsman, Sam-ang Sleigh, Adrian Jordan, Susan BMC Public Health Research Article BACKGROUND: Body mass index (BMI) cut-off values (>25 and >30) that predict diabetes risk have been well validated in Caucasian populations but less so in Asian populations. We aimed to determine the BMI threshold associated with increased type 2 diabetes (T2DM) risk and to calculate the proportion of T2DM cases attributable to overweight and obesity in the Thai population. METHODS: Participants were those from the Thai Cohort Study who were diabetes-free in 2005 and were followed-up in 2009 and 2013 (n = 39,021). We used multivariable logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the BMI-T2DM association. We modelled non-linear associations using restricted cubic splines. We estimated population attributable fractions (PAF) and the number of T2DM incident cases attributed to overweight and obesity. We also calculated the impact of reducing the prevalence of overweight and obesity on T2DM incidence in the Thai population. RESULTS: Non-linear modelling indicated that the points of inflection where the BMI-T2DM association became statistically significant compared to a reference of 20.00 kg/m(2) were 21.60 (OR = 1.27, 95% CI 1.00–1.61) and 20.03 (OR = 1.02, 95% CI 1.02–1.03) for men and women, respectively. Approximately two-thirds of T2DM cases in Thai adults could be attributed to overweight and obesity. Annually, if prevalent obesity was 5% lower, ~13,000 cases of T2DM might be prevented in the Thai population. CONCLUSIONS: A BMI cut-point of 22 kg/m(2), one point lower than the current 23 kg/m(2), would be justified for defining T2DM risk in Thai adults. Lowering obesity prevalence would greatly reduce T2DM incidence. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-017-4708-7) contains supplementary material, which is available to authorized users. BioMed Central 2017-09-15 /pmc/articles/PMC5602842/ /pubmed/28915801 http://dx.doi.org/10.1186/s12889-017-4708-7 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Papier, Keren D’Este, Catherine Bain, Chris Banwell, Cathy Seubsman, Sam-ang Sleigh, Adrian Jordan, Susan Body mass index and type 2 diabetes in Thai adults: defining risk thresholds and population impacts |
title | Body mass index and type 2 diabetes in Thai adults: defining risk thresholds and population impacts |
title_full | Body mass index and type 2 diabetes in Thai adults: defining risk thresholds and population impacts |
title_fullStr | Body mass index and type 2 diabetes in Thai adults: defining risk thresholds and population impacts |
title_full_unstemmed | Body mass index and type 2 diabetes in Thai adults: defining risk thresholds and population impacts |
title_short | Body mass index and type 2 diabetes in Thai adults: defining risk thresholds and population impacts |
title_sort | body mass index and type 2 diabetes in thai adults: defining risk thresholds and population impacts |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5602842/ https://www.ncbi.nlm.nih.gov/pubmed/28915801 http://dx.doi.org/10.1186/s12889-017-4708-7 |
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