Influence of fat Distribution on Arterial Stiffness in Middle-aged and Elderly People: Cross-sectional Study from a Community-based Cohort
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Ting Sun, Hui Xie, Zuchang MaAuthors Info & Claims
Ting Sun, Hui Xie, Zuchang MaAuthors Info & ClaimsPages 13 - 17
Abstract
Finding a tool to diagnose the correlation of obesity with arteriosclerosis is very important. We analyzed the relationship between different anthropometric and body-composition parameters with arterial stiffness (AS) in middle-aged and elderly people. Data were from a community-based cohort. Anthropometric, biochemical and lifestyle data were collected each year from 2018. We surveyed 1410 participants, aged 45--91 (mean = 64.8) years. Body-composition parameters were measured by electrical impedance. AS was assessed by measurement of brachial--ankle pulse wave velocity (baPWV). Bivariate correlations and stepwise linear regression models were used for analyses. Among male participants, only one parameter (i.e., ratio of fat-free mass (FFM) of the trunk) had a negative correlation with baPWV (P < 0.01). The waist - hip ratio, waist - height ratio (WHtR), total fat mass, total body water and percentage body fat (%BF) correlated positively with baPWV, whereas the ratio of arm muscle mass, ratio of arm/leg/trunk muscle mass, and ratio of arm and leg FFM were correlated negatively in women (P < 0.05 for all). Age, systolic blood pressure (SBP), heart rate (model 1: R2 = 0.67) and age, SBP, heart rate, WHtR, ratio of trunk muscle mass (RTMM) and percentage body fat (FP%) (model 2: R2 = 0.69) were significant predictors of AS in women. These data suggested that, in middle-aged and elderly women, WHtR, RTMM and FP% had a strong association with baPWV.
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- Influence of fat Distribution on Arterial Stiffness in Middle-aged and Elderly People: Cross-sectional Study from a Community-based Cohort
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May 2020
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ISBN:9781450375719
DOI:10.1145/3405758
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Published: 10 July 2020
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ICBBT 2020: 2020 12th International Conference on Bioinformatics and Biomedical Technology
May 22 - 24, 2020
Xi'an, China
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