Progression of Subclinical Coronary Atherosclerosis: Does Obesity Make a Difference?
Abstract
Background— Obesity is associated with coronary artery calcification (CAC), a marker of the presence and extent of subclinical coronary atherosclerosis. Obesity adds incremental information in identifying those at higher risk of coronary heart disease to traditional risk factor assessment. The present study examined associations between obesity measures and progression of CAC in those at higher (≥10%) and lower (<10%) 10-year coronary heart disease risk according to the Framingham risk equation. Methods and Results— In this study, 443 asymptomatic white individuals >30 years of age (243 men) had baseline and follow-up CAC measurements an average of 8.9 years apart. Multivariable linear regression models were fit to determine associations of obesity measures at baseline with progression of CAC defined as log e of the difference between follow-up and baseline CAC area plus 1 divided by time (in years) between examinations, adjusting for baseline CAC quantity, age, sex, baseline hypertension status, and baseline cholesterol level. Among 329 participants (74.3%) in the lower-risk group, waist circumference ( P =0.024), waist-to-hip ratio ( P <0.001), body mass index ( P =0.036), and being overweight compared with being underweight or of normal weight ( P =0.008) were each significantly positively associated with progression of CAC. Among those at higher coronary heart disease risk, no baseline obesity measures were associated with CAC progression. Conclusions— Various measures of obesity were associated with increased progression of CAC in those at lower risk of coronary heart disease. Future studies examining the effectiveness of weight reduction strategies in reducing CAC progression among those with an otherwise favorable risk factor profile may be warranted.
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Central obesity is a risk marker, and probably a risk factor, for the development and progression of coronary artery disease.
“Indeed, central obesity is undeniably a risk marker, and probably a risk factor for the development and progression of coronary artery disease (43, 105, 185–188, 229, 241, 328).”
From Cardiac remodeling in obesity (2008) · cites this paper as [43]
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References 33 · Cited by 114
- Authors
- Cassidy, A. E., Bielak, L. F., Zhou, Y., Sheedy, P. F., Turner, S. T., Breen, J. F., Araoz, P. A., Kullo, I. J., Lin, X., & Peyser, P. A.
- Affiliations
- Mayo Clinic (US)
- ORCID
- Venue
- Circulation
- Published
- 2005-04-19
- Volume
- 111
- Issue
- 15
- Pages
- 1877-1882
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W1963961122
- Cited by
- 114
- References
- 33
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 3 · 2022: 4 · 2021: 4 · 2020: 4 · 2019: 2 · 2018: 3 · 2017: 2 · 2016: 5 · 2015: 2 · 2014: 6 · 2013: 6 · 2012: 4
- FWCI
- 8.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Mayo Clinic
- University of Michigan
- University of Rochester
- National Institutes of Health
- National Heart, Lung, and Blood Institute (R01-HL-46292, R01HL046292)
- National Human Genome Research Institute (T32 HG-00040, T32HG000040)
- National Center for Research Resources (M01-RR00 585, M01RR000585)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
- Keywords
- obesity, coronary artery calcification, subclinical coronary atherosclerosis, atherosclerosis progression, coronary heart disease risk, Framingham risk equation, waist circumference, waist-to-hip ratio, body mass index, overweight, weight loss
- MeSH terms
- Adult, Aged, Body Weights and Measures, Coronary Artery Disease, Data Collection, Female, Humans, Male, Middle Aged, Obesity, Risk Factors, Tomography, X-Ray Computed, Body Mass Index, Linear Models, Disease Progression, Risk Assessment, Waist-Hip Ratio
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