Literature DB >> 23416194

Constructing a waist circumference density index to predict biological age and evaluating the clinical significance of waist circumference density age.

Xinyu Zhao1, Shanshan Zhu, Xiaodong Jia, Lili Yu, Hui Liu.   

Abstract

OBJECTIVE: To establish a useful and simple model for evaluating biological age (BA) and to explore the clinical significance of this model.
METHODS: A waist circumference density index (WCDI) was established by considering the body as a cylinder and the waist circumference (WC) as the perimeter of this cylinder. Body volume was obtained from WC and height. Body density was obtained by dividing weight by volume, WCDI=weight (kg)÷[height (m)(0.5)×WC (m)(2)], thereby eliminating the impact of weight and height on WC. Waist circumference density age (WCDA), used to assess the clinical significance, was established as WCDA=chronological age-190+2.4×WCDI. WCDA was calculated for different groups of subjects, including healthy individuals and inpatients with primary hypertension or chronic obstructive pulmonary disease.
RESULTS: WCDI was related to chronological age. The average WCDA of healthy Chinese subjects was 35.63±23.77. The WCDA in patients with hypertension or COPD was significantly lower than that of the control group, evaluated using age-matched pairs of patients.
CONCLUSIONS: WCDI may be an effective parameter for evaluating BA; WCDA may be a helpful indicator for evaluating some diseases.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23416194     DOI: 10.1016/j.exger.2013.02.007

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  4 in total

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Journal:  JMIR Aging       Date:  2022-05-10

2.  Modelling biological age based on plasma peptides in Han Chinese adults.

Authors:  Weijie Cao; Deqiang Zheng; Guohua Wang; Jie Zhang; Siqi Ge; Manjot Singh; Hao Wang; Manshu Song; Dong Li; Wei Wang; Xizhu Xu; Youxin Wang
Journal:  Aging (Albany NY)       Date:  2020-06-05       Impact factor: 5.682

3.  Two-dimensional system based on organic and functional impairment with aging for precisely assessing risk factors in chronic disease.

Authors:  Wang Cengfang; Gao Hanboya; Liu Hui
Journal:  Arch Med Sci       Date:  2019-12-31       Impact factor: 3.318

4.  Two Time Point Analysis of the Change in Risk and Aging Factors for Major Cancers: A 10-Year Longitudinal Study in China.

Authors:  Liu Hui
Journal:  Biomed Res Int       Date:  2020-05-06       Impact factor: 3.411

  4 in total

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