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The association of body mass index with the risk of type 2 diabetes: a case–control study nested in an electronic health records system in the United States
OBJECTIVES: Obesity is a known risk factor for type 2 diabetes (T2D). We conducted a case–control study to assess the association between body mass index (BMI) and the risk of being diagnosed with T2D in the United States. METHODS: We selected adults (≥ 18 years old) who were diagnosed with T2D (def...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976458/ https://www.ncbi.nlm.nih.gov/pubmed/24694251 http://dx.doi.org/10.1186/1758-5996-6-50 |
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author | Ganz, Michael L Wintfeld, Neil Li, Qian Alas, Veronica Langer, Jakob Hammer, Mette |
author_facet | Ganz, Michael L Wintfeld, Neil Li, Qian Alas, Veronica Langer, Jakob Hammer, Mette |
author_sort | Ganz, Michael L |
collection | PubMed |
description | OBJECTIVES: Obesity is a known risk factor for type 2 diabetes (T2D). We conducted a case–control study to assess the association between body mass index (BMI) and the risk of being diagnosed with T2D in the United States. METHODS: We selected adults (≥ 18 years old) who were diagnosed with T2D (defined by ICD-9-CM diagnosis codes or use of anti-diabetic medications) between January 2004 and October 2011 (“cases”) from an electronic health records database provided by an integrated health system in the Middle Atlantic region. Twice as many individuals enrolled in the health system without a T2D diagnosis during the study period (“controls”) were selected based on age, sex, history of cardiac comorbidities or hyperinflammatory state (defined by C-reactive protein and erythrocyte sedimentation rate), and use of psychiatric or beta blocker medications. BMI was measured during one year prior to the first observed T2D diagnosis (for cases) or a randomly assigned date (for controls); individuals with no BMI measure or BMI < 18.5 kg/m(2) were excluded. We assessed the impact of increased BMI (overweight: 25–29.9 kg/m(2); Obesity Class I: 30–34.9 kg/m(2); Obesity Class II: 35–39.9 kg/m(2); Obesity Class III: ≥40 kg/m(2)), relative to normal BMI (18.5–24.9 kg/m(2)), on a T2D diagnosis using odds ratios (OR) and relative risks (RR) estimated from multiple logistic regression results. RESULTS: We included 12,179 cases (mean age: 55, 43% male) and 25,177 controls (mean age: 56, 45% male). We found a positive association between BMI and the risk of a T2D diagnosis. The strength of this association increased with BMI category (RR [95% confidence interval]: overweight, 1.5 [1.4–1.6]; Obesity Class I, 2.5 [2.3–2.6]; Obesity Class II, 3.6 [3.4–3.8]; Obesity Class III, 5.1 [4.7–5.5]). CONCLUSIONS: BMI is strongly and independently associated with the risk of being diagnosed with T2D. The incremental association of BMI category on the risk of T2D is stronger for people with a higher BMI relative to people with a lower BMI. |
format | Online Article Text |
id | pubmed-3976458 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39764582014-04-06 The association of body mass index with the risk of type 2 diabetes: a case–control study nested in an electronic health records system in the United States Ganz, Michael L Wintfeld, Neil Li, Qian Alas, Veronica Langer, Jakob Hammer, Mette Diabetol Metab Syndr Research OBJECTIVES: Obesity is a known risk factor for type 2 diabetes (T2D). We conducted a case–control study to assess the association between body mass index (BMI) and the risk of being diagnosed with T2D in the United States. METHODS: We selected adults (≥ 18 years old) who were diagnosed with T2D (defined by ICD-9-CM diagnosis codes or use of anti-diabetic medications) between January 2004 and October 2011 (“cases”) from an electronic health records database provided by an integrated health system in the Middle Atlantic region. Twice as many individuals enrolled in the health system without a T2D diagnosis during the study period (“controls”) were selected based on age, sex, history of cardiac comorbidities or hyperinflammatory state (defined by C-reactive protein and erythrocyte sedimentation rate), and use of psychiatric or beta blocker medications. BMI was measured during one year prior to the first observed T2D diagnosis (for cases) or a randomly assigned date (for controls); individuals with no BMI measure or BMI < 18.5 kg/m(2) were excluded. We assessed the impact of increased BMI (overweight: 25–29.9 kg/m(2); Obesity Class I: 30–34.9 kg/m(2); Obesity Class II: 35–39.9 kg/m(2); Obesity Class III: ≥40 kg/m(2)), relative to normal BMI (18.5–24.9 kg/m(2)), on a T2D diagnosis using odds ratios (OR) and relative risks (RR) estimated from multiple logistic regression results. RESULTS: We included 12,179 cases (mean age: 55, 43% male) and 25,177 controls (mean age: 56, 45% male). We found a positive association between BMI and the risk of a T2D diagnosis. The strength of this association increased with BMI category (RR [95% confidence interval]: overweight, 1.5 [1.4–1.6]; Obesity Class I, 2.5 [2.3–2.6]; Obesity Class II, 3.6 [3.4–3.8]; Obesity Class III, 5.1 [4.7–5.5]). CONCLUSIONS: BMI is strongly and independently associated with the risk of being diagnosed with T2D. The incremental association of BMI category on the risk of T2D is stronger for people with a higher BMI relative to people with a lower BMI. BioMed Central 2014-04-03 /pmc/articles/PMC3976458/ /pubmed/24694251 http://dx.doi.org/10.1186/1758-5996-6-50 Text en Copyright © 2014 Ganz et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Ganz, Michael L Wintfeld, Neil Li, Qian Alas, Veronica Langer, Jakob Hammer, Mette The association of body mass index with the risk of type 2 diabetes: a case–control study nested in an electronic health records system in the United States |
title | The association of body mass index with the risk of type 2 diabetes: a case–control study nested in an electronic health records system in the United States |
title_full | The association of body mass index with the risk of type 2 diabetes: a case–control study nested in an electronic health records system in the United States |
title_fullStr | The association of body mass index with the risk of type 2 diabetes: a case–control study nested in an electronic health records system in the United States |
title_full_unstemmed | The association of body mass index with the risk of type 2 diabetes: a case–control study nested in an electronic health records system in the United States |
title_short | The association of body mass index with the risk of type 2 diabetes: a case–control study nested in an electronic health records system in the United States |
title_sort | association of body mass index with the risk of type 2 diabetes: a case–control study nested in an electronic health records system in the united states |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976458/ https://www.ncbi.nlm.nih.gov/pubmed/24694251 http://dx.doi.org/10.1186/1758-5996-6-50 |
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