Literature DB >> 28965712

Relation Between a Simple Lifestyle Risk Score and Established Biological Risk Factors for Cardiovascular Disease.

Valérie Lévesque1, Paul Poirier2, Jean-Pierre Després1, Natalie Alméras3.   

Abstract

Although cardiovascular disease (CVD) and diabetes mellitus are largely lifestyle driven, lifestyle metrics are not used in clinical practice. This study examined the relevance of using a simple lifestyle risk score designed for primary care medicine by testing its ability to predict biological CVD risk factors in a cohort of 3,712 individuals involved in a workplace health evaluation or management program ("Grand Défi Entreprise" project). Using a lifestyle risk score based on waist circumference, fitness, nutritional quality, and physical activity level, employees were categorized into 3 distinct estimated lifestyle risk levels (low, intermediate, and high). A biological CVD risk score was also calculated, which included high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), cholesterol-to-HDL-C ratio, blood pressure, hemoglobin glycated levels, and medication use. Diastolic blood pressure, TG levels, and the cholesterol-to-HDL-C ratio increased across categories of lifestyle risk score, whereas HDL-C decreased (p <0.05). Calculated Framingham and diabetes risk scores as well as the prevalence of hypertriglyceridemic waist phenotype also increased across categories of lifestyle risk score (p <0.05). Finally, 1-way analysis of variance revealed that the biological risk score significantly increased across the lifestyle risk score categories (p <0.0001). Our study provides evidence that lifestyle variables can be measured and targeted in clinical practice.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28965712     DOI: 10.1016/j.amjcard.2017.08.008

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  6 in total

1.  Introduce a New Intervention Model Based on Islamic Lifestyle for Decreasing the Risk of Cardiovascular Disease in People at Risk: A Comparative Study.

Authors:  Mohammad Ali Besharat; Seyedeh Asma Hosseini; Hossein Ali Jahed; Hadi Bahrami Ehsan; Fariborz Dortaj
Journal:  J Relig Health       Date:  2021-04

2.  Cardiovascular Risk Factor Control and Lifestyle Factors in Young to Middle-Aged Adults with Newly Diagnosed Obstructive Coronary Artery Disease.

Authors:  Michael S Garshick; Georgeta D Vaidean; Anish Vani; James A Underberg; Jonathan D Newman; Jeffrey S Berger; Edward A Fisher; Eugenia Gianos
Journal:  Cardiology       Date:  2019-05-10       Impact factor: 1.869

3.  Lifestyle Risk Score: handling missingness of individual lifestyle components in meta-analysis of gene-by-lifestyle interactions.

Authors:  Hanfei Xu; Karen Schwander; Michael R Brown; Wenyi Wang; R J Waken; Eric Boerwinkle; L Adrienne Cupples; Lisa de Las Fuentes; Diana van Heemst; Oyomoare Osazuwa-Peters; Paul S de Vries; Ko Willems van Dijk; Yun Ju Sung; Xiaoyu Zhang; Alanna C Morrison; D C Rao; Raymond Noordam; Ching-Ti Liu
Journal:  Eur J Hum Genet       Date:  2021-01-26       Impact factor: 5.351

4.  Feasibility, Acceptability, and Clinical Effectiveness of a Technology-Enabled Cardiac Rehabilitation Platform (Physical Activity Toward Health-I): Randomized Controlled Trial.

Authors:  Jomme Claes; Véronique Cornelissen; Clare McDermott; Niall Moyna; Nele Pattyn; Nils Cornelis; Anne Gallagher; Ciara McCormack; Helen Newton; Alexandra Gillain; Werner Budts; Kaatje Goetschalckx; Catherine Woods; Kieran Moran; Roselien Buys
Journal:  J Med Internet Res       Date:  2020-02-04       Impact factor: 5.428

5.  Remnant Cholesterol and Its Visit-to-Visit Variability Predict Cardiovascular Outcomes in Patients With Type 2 Diabetes: Findings From the ACCORD Cohort.

Authors:  Liyao Fu; Shi Tai; Jiaxing Sun; Ningjie Zhang; Ying Zhou; Zhenhua Xing; Yongjun Wang; Shenghua Zhou
Journal:  Diabetes Care       Date:  2022-09-01       Impact factor: 17.152

6.  Targeting Diet Quality at the Workplace: Influence on Cardiometabolic Risk.

Authors:  Samira Amil; Isabelle Lemieux; Paul Poirier; Benoît Lamarche; Jean-Pierre Després; Natalie Alméras
Journal:  Nutrients       Date:  2021-06-30       Impact factor: 5.717

  6 in total

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