A model for estimating body shape biological age based on clinical parameters associated with body composition

Chul-Young Bae,1 Young Gon Kang,2 Young-Sung Suh,3 Jee Hye Han,4 Sung-Soo Kim,5 Kyung Won Shim61MediAge Research Center, Seoul, Korea; 2Chaum Power Aging Center, College of Medicine, CHA University, Seoul, Korea; 3Health Promotion Center, Keimyung University Dongsam Medical Center, Daegu, Korea; 4De...

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Autores principales:	Bae CY, Kang YG, Suh YS, Han JH, Kim SS, Shim KW
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2012
Materias:	chronological age body shape biological age Geriatrics RC952-954.6
Acceso en línea:	https://doaj.org/article/1bd9fdcd11ca431f8632bfcb28f6f895
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spelling	oai:doaj.org-article:1bd9fdcd11ca431f8632bfcb28f6f8952021-12-02T04:05:25ZA model for estimating body shape biological age based on clinical parameters associated with body composition1178-1998https://doaj.org/article/1bd9fdcd11ca431f8632bfcb28f6f8952012-12-01T00:00:00Zhttps://www.dovepress.com/a-model-for-estimating-body-shape-biological-age-based-on-clinical-par-peer-reviewed-article-CIAhttps://doaj.org/toc/1178-1998Chul-Young Bae,1 Young Gon Kang,2 Young-Sung Suh,3 Jee Hye Han,4 Sung-Soo Kim,5 Kyung Won Shim61MediAge Research Center, Seoul, Korea; 2Chaum Power Aging Center, College of Medicine, CHA University, Seoul, Korea; 3Health Promotion Center, Keimyung University Dongsam Medical Center, Daegu, Korea; 4Department of Family Medicine, College of Medicine, Eulji University, Seoul, Korea; 5Department of Family Medicine, College of Medicine, Chungnam National University, Daejeon, Korea; 6Department of Family Medicine, Ewha Womans University Mokdong Hospital, Ewha Womans University, Seoul, KoreaBackground: To date, no studies have attempted to estimate body shape biological age using clinical parameters associated with body composition for the purposes of examining a person's body shape based on their age.Objective: We examined the relations between clinical parameters associated with body composition and chronological age, and proposed a model for estimating the body shape biological age.Methods: The study was conducted in 243,778 subjects aged between 20 and 90 years who received a general medical checkup at health promotion centers at university and community hospitals in Korea from 2004 to 2011.Results: In men, the clinical parameters with the highest correlation to age included the waist-to-hip ratio (r = 0.786, P < 0.001), hip circumference (r = −0.448, P < 0.001), and height (r = −0.377, P < 0.001). In women, the clinical parameters with the highest correlation to age include the waist-to-hip ratio (r = 0.859, P < 0.001), waist circumference (r = 0.580, P < 0.001), and hip circumference (r = 0.520, P < 0.001). To estimate the optimal body shape biological age based on clinical parameters associated with body composition, we performed a multiple regression analysis. In a model estimating the body shape biological age, the coefficient of determination (R2) was 0.71 in men and 0.76 in women.Conclusion: Our model for estimating body shape biological age might be a novel approach to variation in body shape that is due to aging. We assume that our estimation model would be used as an adjunctive measure in easily predicting differences in body shape with the use of clinical parameters that are commonly used to assess the status of obesity in a clinical setting.Keywords: chronological age, body shape, biological ageBae CYKang YGSuh YSHan JHKim SSShim KWDove Medical Pressarticlechronological agebody shapebiological ageGeriatricsRC952-954.6ENClinical Interventions in Aging, Vol Volume 8, Pp 11-18 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	chronological age body shape biological age Geriatrics RC952-954.6
spellingShingle	chronological age body shape biological age Geriatrics RC952-954.6 Bae CY Kang YG Suh YS Han JH Kim SS Shim KW A model for estimating body shape biological age based on clinical parameters associated with body composition
description	Chul-Young Bae,1 Young Gon Kang,2 Young-Sung Suh,3 Jee Hye Han,4 Sung-Soo Kim,5 Kyung Won Shim61MediAge Research Center, Seoul, Korea; 2Chaum Power Aging Center, College of Medicine, CHA University, Seoul, Korea; 3Health Promotion Center, Keimyung University Dongsam Medical Center, Daegu, Korea; 4Department of Family Medicine, College of Medicine, Eulji University, Seoul, Korea; 5Department of Family Medicine, College of Medicine, Chungnam National University, Daejeon, Korea; 6Department of Family Medicine, Ewha Womans University Mokdong Hospital, Ewha Womans University, Seoul, KoreaBackground: To date, no studies have attempted to estimate body shape biological age using clinical parameters associated with body composition for the purposes of examining a person's body shape based on their age.Objective: We examined the relations between clinical parameters associated with body composition and chronological age, and proposed a model for estimating the body shape biological age.Methods: The study was conducted in 243,778 subjects aged between 20 and 90 years who received a general medical checkup at health promotion centers at university and community hospitals in Korea from 2004 to 2011.Results: In men, the clinical parameters with the highest correlation to age included the waist-to-hip ratio (r = 0.786, P < 0.001), hip circumference (r = −0.448, P < 0.001), and height (r = −0.377, P < 0.001). In women, the clinical parameters with the highest correlation to age include the waist-to-hip ratio (r = 0.859, P < 0.001), waist circumference (r = 0.580, P < 0.001), and hip circumference (r = 0.520, P < 0.001). To estimate the optimal body shape biological age based on clinical parameters associated with body composition, we performed a multiple regression analysis. In a model estimating the body shape biological age, the coefficient of determination (R2) was 0.71 in men and 0.76 in women.Conclusion: Our model for estimating body shape biological age might be a novel approach to variation in body shape that is due to aging. We assume that our estimation model would be used as an adjunctive measure in easily predicting differences in body shape with the use of clinical parameters that are commonly used to assess the status of obesity in a clinical setting.Keywords: chronological age, body shape, biological age
format	article
author	Bae CY Kang YG Suh YS Han JH Kim SS Shim KW
author_facet	Bae CY Kang YG Suh YS Han JH Kim SS Shim KW
author_sort	Bae CY
title	A model for estimating body shape biological age based on clinical parameters associated with body composition
title_short	A model for estimating body shape biological age based on clinical parameters associated with body composition
title_full	A model for estimating body shape biological age based on clinical parameters associated with body composition
title_fullStr	A model for estimating body shape biological age based on clinical parameters associated with body composition
title_full_unstemmed	A model for estimating body shape biological age based on clinical parameters associated with body composition
title_sort	model for estimating body shape biological age based on clinical parameters associated with body composition
publisher	Dove Medical Press
publishDate	2012
url	https://doaj.org/article/1bd9fdcd11ca431f8632bfcb28f6f895
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A model for estimating body shape biological age based on clinical parameters associated with body composition

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