Conceptualizing type 2 diabetes and its management

Peter Tsasis¹, Jianhong Wu², Aijun An³, Hannah J Wong¹, Xiandong An⁴, Zhen Mei⁵, Ted Hains⁵

Affiliations

¹ School of Health Policy and Management, York University, Toronto, ON, Canada.
² Centre for Disease Modelling, York University, Toronto, ON, Canada.
³ Department of Electrical Engineering of Computer Science, York University, Toronto, ON, Canada.
⁴ Department of Electrical Engineering of Computer Science, York University, Toronto, ON, Canada; Manifold Data Mining Inc., Toronto, ON, Canada.
⁵ Manifold Data Mining Inc., Toronto, ON, Canada.

PMID: 27099510
PMCID: PMC4820210
DOI: 10.2147/JMDH.S88684

Review

Conceptualizing type 2 diabetes and its management

Peter Tsasis et al. J Multidiscip Healthc. 2016.

. 2016 Mar 26:9:133-6.

doi: 10.2147/JMDH.S88684. eCollection 2016.

Authors

Peter Tsasis¹, Jianhong Wu², Aijun An³, Hannah J Wong¹, Xiandong An⁴, Zhen Mei⁵, Ted Hains⁵

Affiliations

¹ School of Health Policy and Management, York University, Toronto, ON, Canada.
² Centre for Disease Modelling, York University, Toronto, ON, Canada.
³ Department of Electrical Engineering of Computer Science, York University, Toronto, ON, Canada.
⁴ Department of Electrical Engineering of Computer Science, York University, Toronto, ON, Canada; Manifold Data Mining Inc., Toronto, ON, Canada.
⁵ Manifold Data Mining Inc., Toronto, ON, Canada.

PMID: 27099510
PMCID: PMC4820210
DOI: 10.2147/JMDH.S88684

Abstract

Type 2 diabetes is growing worldwide due to population growth, increased rates of obesity, unhealthy diet, and physical inactivity. Risk assessment methods can effectively evaluate the risk of diabetes, and a healthy lifestyle can significantly reduce risk or prevent complications of type 2 diabetes. However, risk assessment alone has not significantly improved poor adherence to recommended medical interventions and lifestyle changes. This paper focuses on the challenge of nonadherence and posits that improving adherence requires tailoring interventions that explicitly consider the social determinants of health.

Keywords: data mining and cluster analysis; nonadherence; tailored interventions; type 2 diabetes.

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Conceptualizing type 2 diabetes and its management

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Conceptualizing type 2 diabetes and its management

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