Examining the Influence of Waist Circumference in Cardiovascular Disease Risk Prediction Modeling

Loading...
Thumbnail Image

Authors

Nelms, Matthew

Date

Type

thesis

Language

eng

Keyword

Waist Circumference , Cardiovascular Disease , All-Cause Mortality , Risk Prediction

Research Projects

Organizational Units

Journal Issue

Alternative Title

Abstract

Cardiovascular disease (CVD) is the leading cause of non-communicable disease and pre-mature death worldwide. Waist circumference (WC) is a measure of abdominal adiposity that is strongly related to both CVD and all-cause mortality. However, WC is not routinely measured in clinical practice. Predicting which individuals will develop disease is a fundamental aspect to modern healthcare. To date, there is limited research examining whether adding WC to current risk prediction models will improve how well the model identifies individuals at risk for future disease. Therefore, the purpose of this thesis is to investigate whether the addition of WC improves CVD and all-cause mortality risk prediction compared to current models. We analyzed data from 34,377 men and 9,477 women who completed a baseline examination at the Cooper Clinic (Dallas, TX) during 1977 – 2003 and enrolled in the Aerobics Center Longitudinal Study (ACLS). Participants were followed until mortality or December 31st, 2003. WC was measured at the level of the umbilicus and other health risk factors including blood pressure, blood lipids, smoking, and diabetes were collected using standardized methods. Our primary finding was that the addition of WC does not improve risk prediction for fatal CVD, non-fatal CVD and all-cause mortality. This observation remained consistent across several statistical strategies to assess model performance. However, WC was significantly associated with the outcomes beyond common clinical risk factors. The findings of this thesis demonstrate that although WC is significantly associated with pre-mature death, adding WC to established risk prediction models does not improve how well the model is able to identify which individuals are at increased risk for future disease.

Description

Citation

Publisher

License

Queen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada
ProQuest PhD and Master's Theses International Dissemination Agreement
Intellectual Property Guidelines at Queen's University
Copying and Preserving Your Thesis
This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.

Journal

Volume

Issue

PubMed ID

External DOI

ISSN

EISSN