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Sagittal Abdominal Diameter as a New Predictor for Incident Diabetes
OBJECTIVE: Obesity, particularly visceral adiposity, is a major risk factor for type 2 diabetes. The commonly used obesity indicators, BMI, waist girth, and waist-to-hip ratio (WHR), have limited ability to measure the visceral adipose tissue. Sagittal abdominal diameter (SAD) has been shown to pred...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Diabetes Association
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3554316/ https://www.ncbi.nlm.nih.gov/pubmed/22961578 http://dx.doi.org/10.2337/dc11-2451 |
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author | Pajunen, Pia Rissanen, Harri Laaksonen, Maarit A. Heliövaara, Markku Reunanen, Antti Knekt, Paul |
author_facet | Pajunen, Pia Rissanen, Harri Laaksonen, Maarit A. Heliövaara, Markku Reunanen, Antti Knekt, Paul |
author_sort | Pajunen, Pia |
collection | PubMed |
description | OBJECTIVE: Obesity, particularly visceral adiposity, is a major risk factor for type 2 diabetes. The commonly used obesity indicators, BMI, waist girth, and waist-to-hip ratio (WHR), have limited ability to measure the visceral adipose tissue. Sagittal abdominal diameter (SAD) has been shown to predict the amount of visceral fat. So far no study has been published on its ability to predict diabetes occurrence. RESEARCH DESIGN AND METHODS: We assessed and compared the prediction of the four obesity indicators for diabetes incidence in a prospective study based on 5,168 participants from the nationally representative Health 2000 study. RESULTS: During a mean follow-up lasting 8.1 years, 222 incident diabetes cases occurred. In multivariate models adjusted for lifestyle factors, BMI, waist girth, WHR, and SAD were significant predictors of diabetes incidence. The relative risks (95% CI) between high and low levels were 15.0 (6.94–32.6), 11.4 (5.39–23.8), 12.5 (6.47–24.2), and 14.7 (6.89–31.2), respectively. Pairwise interaction analysis showed that the co-occurrence of high BMI and high SAD was associated with the highest diabetes incidence, with a relative risk of 37.0 (11.2–122). After adjustment for waist girth and the components of the metabolic syndrome, the relative risk was 9.88 (2.81–34.7). The corresponding population-attributable fraction estimate was 84% (49–95). CONCLUSIONS: The combination of SAD and BMI measurements yields a new predictor of diabetes incidence. |
format | Online Article Text |
id | pubmed-3554316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | American Diabetes Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-35543162014-02-01 Sagittal Abdominal Diameter as a New Predictor for Incident Diabetes Pajunen, Pia Rissanen, Harri Laaksonen, Maarit A. Heliövaara, Markku Reunanen, Antti Knekt, Paul Diabetes Care Original Research OBJECTIVE: Obesity, particularly visceral adiposity, is a major risk factor for type 2 diabetes. The commonly used obesity indicators, BMI, waist girth, and waist-to-hip ratio (WHR), have limited ability to measure the visceral adipose tissue. Sagittal abdominal diameter (SAD) has been shown to predict the amount of visceral fat. So far no study has been published on its ability to predict diabetes occurrence. RESEARCH DESIGN AND METHODS: We assessed and compared the prediction of the four obesity indicators for diabetes incidence in a prospective study based on 5,168 participants from the nationally representative Health 2000 study. RESULTS: During a mean follow-up lasting 8.1 years, 222 incident diabetes cases occurred. In multivariate models adjusted for lifestyle factors, BMI, waist girth, WHR, and SAD were significant predictors of diabetes incidence. The relative risks (95% CI) between high and low levels were 15.0 (6.94–32.6), 11.4 (5.39–23.8), 12.5 (6.47–24.2), and 14.7 (6.89–31.2), respectively. Pairwise interaction analysis showed that the co-occurrence of high BMI and high SAD was associated with the highest diabetes incidence, with a relative risk of 37.0 (11.2–122). After adjustment for waist girth and the components of the metabolic syndrome, the relative risk was 9.88 (2.81–34.7). The corresponding population-attributable fraction estimate was 84% (49–95). CONCLUSIONS: The combination of SAD and BMI measurements yields a new predictor of diabetes incidence. American Diabetes Association 2013-02 2013-01-17 /pmc/articles/PMC3554316/ /pubmed/22961578 http://dx.doi.org/10.2337/dc11-2451 Text en © 2013 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details. |
spellingShingle | Original Research Pajunen, Pia Rissanen, Harri Laaksonen, Maarit A. Heliövaara, Markku Reunanen, Antti Knekt, Paul Sagittal Abdominal Diameter as a New Predictor for Incident Diabetes |
title | Sagittal Abdominal Diameter as a New Predictor for Incident Diabetes |
title_full | Sagittal Abdominal Diameter as a New Predictor for Incident Diabetes |
title_fullStr | Sagittal Abdominal Diameter as a New Predictor for Incident Diabetes |
title_full_unstemmed | Sagittal Abdominal Diameter as a New Predictor for Incident Diabetes |
title_short | Sagittal Abdominal Diameter as a New Predictor for Incident Diabetes |
title_sort | sagittal abdominal diameter as a new predictor for incident diabetes |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3554316/ https://www.ncbi.nlm.nih.gov/pubmed/22961578 http://dx.doi.org/10.2337/dc11-2451 |
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