Predictive model for the risk of cardiovascular disease and type 2 diabetes in obese people

Farida Meghatria and Omar Belhamiti

Chaos, Solitons & Fractals, 2021, vol. 146, issue C

Abstract: In this article, we study a predictive model of the risk of cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM) in obese populations and investigate its impact on the evolution of their health, terms related to lifestyle and risk factors are also incorporated. This model represented mathematically by a nonlinear temporal system of ordinary differential equations. An analysis of the stability of stationary solutions is also obtained to theoretically confirm the mathematical validity. Numerical simulations presented to explain the usefulness of the developed model; they show the role of a healthy lifestyle (diet, regular exercise, smoking, and increasing alcohol consumption above moderate levels) in alleviating the burden of cardiovascular disease (CVD) and can significantly reduce the risk to develop type 2 diabetes mellitus (T2DM). On the other hand, risk factors management of obesity with complications greatly decreases the risk of developing other complications.

Keywords: Obesity; Cardiovascular disease; Type 2 diabetes mellitus; Lifestyle; Risk factors (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077921001879
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:146:y:2021:i:c:s0960077921001879

DOI: 10.1016/j.chaos.2021.110834

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().