Association of Anthropometric and CT-Based Obesity Indices with Subclinical Atherosclerosis
Aim: Few studies have compared the strength in the associations of anthropometric and computed tomography (CT)-based obesity indices with coronary artery calcification (CAC), aortic artery calcification (AoAC), and aortic valve calcification (AVC).Methods: We assessed cross-sectcional associations o...
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Published in | Journal of Atherosclerosis and Thrombosis Vol. 31; no. 1; pp. 48 - 60 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Japan
Japan Atherosclerosis Society
01.01.2024
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Subjects | |
Online Access | Get full text |
ISSN | 1340-3478 1880-3873 1880-3873 |
DOI | 10.5551/jat.64096 |
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Abstract | Aim: Few studies have compared the strength in the associations of anthropometric and computed tomography (CT)-based obesity indices with coronary artery calcification (CAC), aortic artery calcification (AoAC), and aortic valve calcification (AVC).Methods: We assessed cross-sectcional associations of anthropometric and CT-based obesity indices with CAC, AoAC, and AVC. Anthropometric measures included body mass index (BMI), waist circumference, hip ircumference, waist-to-hip circumference ratio, and waist-to-height ratio in 931 men (mean age, 63.7 years) from a population-based cohort. CT images at the L4/5 level were obtained to calculate the areas of abdominal visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), total adipose tissue (TAT), VAT-to-SAT ratio (VSR), and VAT-to-TAT ratio (VTR). CAC, AoAC, and AVC were quantified using the Agatston score based on CT scanning. Results: CAC, AVC, and AoAC were present in 348 (62.6%), 173 (18.6%), and 769 (82.6%) participants, respectively. In multivariable models adjusting for age, lifestyle factors, and CT types (electron beam CT and multidetector row CT), anthropometric and CT-based obesity indices were positively associated with CAC (p<0.01). Conversely, VAT-to-SAT ratio and VAT-to-TAT ratio were positively associated with AoAC (p<0.01). Any obesity indices were not associated with AVC.Conclusions: The strength of the associations of obesity indices with subclinical atherosclerosis varied according to the anatomically distinct atherosclerotic lesions, among men. |
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AbstractList | Aim: Few studies have compared the strength in the associations of anthropometric and computed tomography (CT)-based obesity indices with coronary artery calcification (CAC), aortic artery calcification (AoAC), and aortic valve calcification (AVC).Methods: We assessed cross-sectcional associations of anthropometric and CT-based obesity indices with CAC, AoAC, and AVC. Anthropometric measures included body mass index (BMI), waist circumference, hip ircumference, waist-to-hip circumference ratio, and waist-to-height ratio in 931 men (mean age, 63.7 years) from a population-based cohort. CT images at the L4/5 level were obtained to calculate the areas of abdominal visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), total adipose tissue (TAT), VAT-to-SAT ratio (VSR), and VAT-to-TAT ratio (VTR). CAC, AoAC, and AVC were quantified using the Agatston score based on CT scanning. Results: CAC, AVC, and AoAC were present in 348 (62.6%), 173 (18.6%), and 769 (82.6%) participants, respectively. In multivariable models adjusting for age, lifestyle factors, and CT types (electron beam CT and multidetector row CT), anthropometric and CT-based obesity indices were positively associated with CAC (p<0.01). Conversely, VAT-to-SAT ratio and VAT-to-TAT ratio were positively associated with AoAC (p<0.01). Any obesity indices were not associated with AVC.Conclusions: The strength of the associations of obesity indices with subclinical atherosclerosis varied according to the anatomically distinct atherosclerotic lesions, among men. Few studies have compared the strength in the associations of anthropometric and computed tomography (CT)-based obesity indices with coronary artery calcification (CAC), aortic artery calcification (AoAC), and aortic valve calcification (AVC).AIMFew studies have compared the strength in the associations of anthropometric and computed tomography (CT)-based obesity indices with coronary artery calcification (CAC), aortic artery calcification (AoAC), and aortic valve calcification (AVC).We assessed cross-sectcional associations of anthropometric and CT-based obesity indices with CAC, AoAC, and AVC. Anthropometric measures included body mass index (BMI), waist circumference, hip ircumference, waist-to-hip circumference ratio, and waist-to-height ratio in 931 men (mean age, 63.7 years) from a population-based cohort. CT images at the L4/5 level were obtained to calculate the areas of abdominal visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), total adipose tissue (TAT), VAT-to-SAT ratio (VSR), and VAT-to-TAT ratio (VTR). CAC, AoAC, and AVC were quantified using the Agatston score based on CT scanning.METHODSWe assessed cross-sectcional associations of anthropometric and CT-based obesity indices with CAC, AoAC, and AVC. Anthropometric measures included body mass index (BMI), waist circumference, hip ircumference, waist-to-hip circumference ratio, and waist-to-height ratio in 931 men (mean age, 63.7 years) from a population-based cohort. CT images at the L4/5 level were obtained to calculate the areas of abdominal visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), total adipose tissue (TAT), VAT-to-SAT ratio (VSR), and VAT-to-TAT ratio (VTR). CAC, AoAC, and AVC were quantified using the Agatston score based on CT scanning.CAC, AVC, and AoAC were present in 348 (62.6%), 173 (18.6%), and 769 (82.6%) participants, respectively. In multivariable models adjusting for age, lifestyle factors, and CT types (electron beam CT and multidetector row CT), anthropometric and CT-based obesity indices were positively associated with CAC (p<0.01). Conversely, VAT-to-SAT ratio and VAT-to-TAT ratio were positively associated with AoAC (p<0.01). Any obesity indices were not associated with AVC.RESULTSCAC, AVC, and AoAC were present in 348 (62.6%), 173 (18.6%), and 769 (82.6%) participants, respectively. In multivariable models adjusting for age, lifestyle factors, and CT types (electron beam CT and multidetector row CT), anthropometric and CT-based obesity indices were positively associated with CAC (p<0.01). Conversely, VAT-to-SAT ratio and VAT-to-TAT ratio were positively associated with AoAC (p<0.01). Any obesity indices were not associated with AVC.The strength of the associations of obesity indices with subclinical atherosclerosis varied according to the anatomically distinct atherosclerotic lesions, among men.CONCLUSIONSThe strength of the associations of obesity indices with subclinical atherosclerosis varied according to the anatomically distinct atherosclerotic lesions, among men. Few studies have compared the strength in the associations of anthropometric and computed tomography (CT)-based obesity indices with coronary artery calcification (CAC), aortic artery calcification (AoAC), and aortic valve calcification (AVC). We assessed cross-sectcional associations of anthropometric and CT-based obesity indices with CAC, AoAC, and AVC. Anthropometric measures included body mass index (BMI), waist circumference, hip ircumference, waist-to-hip circumference ratio, and waist-to-height ratio in 931 men (mean age, 63.7 years) from a population-based cohort. CT images at the L4/5 level were obtained to calculate the areas of abdominal visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), total adipose tissue (TAT), VAT-to-SAT ratio (VSR), and VAT-to-TAT ratio (VTR). CAC, AoAC, and AVC were quantified using the Agatston score based on CT scanning. CAC, AVC, and AoAC were present in 348 (62.6%), 173 (18.6%), and 769 (82.6%) participants, respectively. In multivariable models adjusting for age, lifestyle factors, and CT types (electron beam CT and multidetector row CT), anthropometric and CT-based obesity indices were positively associated with CAC (p<0.01). Conversely, VAT-to-SAT ratio and VAT-to-TAT ratio were positively associated with AoAC (p<0.01). Any obesity indices were not associated with AVC. The strength of the associations of obesity indices with subclinical atherosclerosis varied according to the anatomically distinct atherosclerotic lesions, among men. Aim: Few studies have compared the strength in the associations of anthropometric and computed tomography (CT)-based obesity indices with coronary artery calcification (CAC), aortic artery calcification (AoAC), and aortic valve calcification (AVC). Methods: We assessed cross-sectcional associations of anthropometric and CT-based obesity indices with CAC, AoAC, and AVC. Anthropometric measures included body mass index (BMI), waist circumference, hip ircumference, waist-to-hip circumference ratio, and waist-to-height ratio in 931 men (mean age, 63.7 years) from a population-based cohort. CT images at the L4/5 level were obtained to calculate the areas of abdominal visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), total adipose tissue (TAT), VAT-to-SAT ratio (VSR), and VAT-to-TAT ratio (VTR). CAC, AoAC, and AVC were quantified using the Agatston score based on CT scanning. Results: CAC, AVC, and AoAC were present in 348 (62.6%), 173 (18.6%), and 769 (82.6%) participants, respectively. In multivariable models adjusting for age, lifestyle factors, and CT types (electron beam CT and multidetector row CT), anthropometric and CT-based obesity indices were positively associated with CAC ( p <0.01). Conversely, VAT-to-SAT ratio and VAT-to-TAT ratio were positively associated with AoAC ( p <0.01). Any obesity indices were not associated with AVC. Conclusions: The strength of the associations of obesity indices with subclinical atherosclerosis varied according to the anatomically distinct atherosclerotic lesions, among men. |
ArticleNumber | 64096 |
Author | Kadota, Aya Hisamatsu, Takashi Sawayama, Yuichi Higo, Yosuke Miura, Katsuyuki Nakagawa, Yoshihisa Torii, Sayuki Ueshima, Hirotsugu Yano, Yuichiro Kadowaki, Sayaka Kondo, Keiko Fujiyoshi, Akira Watanabe, Yoshiyuki |
Author_xml | – sequence: 1 fullname: Torii, Sayuki organization: Department of Public Health, Shiga University of Medical Science – sequence: 1 fullname: Watanabe, Yoshiyuki organization: Department of Radiology, Shiga University of Medical Science – sequence: 1 fullname: Kondo, Keiko organization: Department of Public Health, Shiga University of Medical Science – sequence: 1 fullname: Hisamatsu, Takashi organization: Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences – sequence: 1 fullname: Sawayama, Yuichi organization: Department of Cardiovascular Medicine, Kurashiki Central Hospital – sequence: 1 fullname: Fujiyoshi, Akira organization: Department of Hygiene, Wakayama Medical University – sequence: 1 fullname: Kadowaki, Sayaka organization: Department of Pediatrics, Uji Tokushukai Hospital – sequence: 1 fullname: Ueshima, Hirotsugu organization: Department of Public Health, Shiga University of Medical Science – sequence: 1 fullname: Yano, Yuichiro organization: NCD Epidemiology Research Center, Shiga University of Medical Science – sequence: 1 fullname: Nakagawa, Yoshihisa organization: Department of Cardiovascular Medicine, Shiga University of Medical Science – sequence: 1 fullname: Miura, Katsuyuki organization: Department of Public Health, Shiga University of Medical Science – sequence: 1 fullname: Higo, Yosuke organization: Department of Cardiovascular Medicine, Shiga University of Medical Science – sequence: 1 fullname: Kadota, Aya organization: Department of Public Health, Shiga University of Medical Science |
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Snippet | Aim: Few studies have compared the strength in the associations of anthropometric and computed tomography (CT)-based obesity indices with coronary artery... Few studies have compared the strength in the associations of anthropometric and computed tomography (CT)-based obesity indices with coronary artery... Aim: Few studies have compared the strength in the associations of anthropometric and computed tomography (CT)-based obesity indices with coronary artery... |
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Title | Association of Anthropometric and CT-Based Obesity Indices with Subclinical Atherosclerosis |
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