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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...

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Autores principales: Pajunen, Pia, Rissanen, Harri, Laaksonen, Maarit A., Heliövaara, Markku, Reunanen, Antti, Knekt, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2013
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.
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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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