ArticleClinical interventions in aging2013
A model for estimating body shape biological age based on clinical parameters associated with body composition.
Article in Clinical interventions in aging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- 24-weeks Pilates-aerobic and educative training to improve body fat mass in elderly Serbian women.Clinical interventions in aging · 2014Trial
- Review
- Molecular markers, mechanisms and metrics of biological aging: a scoping review.Frontiers in aging · 2026Review
- Article
- AnthropoAge, a novel approach to integrate body composition into the estimation of biological age.Aging cell · 2023Article
- Biological age and lifestyle in the diagnosis of metabolic syndrome: the NHIS health screening data, 2014-2015.Scientific reports · 2021Article
- The aging human body shape.NPJ aging and mechanisms of disease · 2020Article
- Two-dimensional system based on organic and functional impairment with aging for precisely assessing risk factors in chronic disease.Archives of medical science : AMS · 2020Article
- Biological age as a health index for mortality and major age-related disease incidence in Koreans: National Health Insurance Service - Health screening 11-year follow-up study.Clinical interventions in aging · 2018Article
- Measurement of biological age may help to assess the risk of colorectal adenoma in screening colonoscopy.World journal of gastroenterology · 2017Article
- Models for estimating the metabolic syndrome biological age as the new index for evaluation and management of metabolic syndrome.Clinical interventions in aging · 2017Article
- A novel quantitative body shape score for detecting association between obesity and hypertension in China.BMC public health · 2015Article
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6 authors.
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Abstract
backgroundTo 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.
objectiveWe examined the relations between clinical parameters associated with body composition and chronological age, and proposed a model for estimating the body shape biological age.
methodsThe 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.
resultsIn 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 (R(2)) was 0.71 in men and 0.76 in women.
conclusionOur 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.
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