A comparative evaluation of surrogate measures of adiposity as indictors of cardiometabolic disease

Millar, Sean R.

A comparative evaluation of surrogate measures of adiposity as indictors of cardiometabolic disease

dc.check.embargoformat	Both hard copy thesis and e-thesis	en
dc.check.opt-out	Not applicable	en
dc.check.reason	This thesis is due for publication or the author is actively seeking to publish this material	en
dc.contributor.advisor	Phillips, Catherine	en
dc.contributor.advisor	Perry, Ivan J.	en
dc.contributor.author	Millar, Sean R.
dc.contributor.funder	Health Research Board	en
dc.date.accessioned	2018-02-07T10:28:02Z
dc.date.issued	2016
dc.date.submitted	2016
dc.description.abstract	This thesis contributes to the current evidence base regarding methods to detect patients with type 2 diabetes, and those at increased obesity-related cardiometabolic risk. In particular, it aimed to determine how useful surrogate measures of adiposity might be to identify high-risk patients within a clinical setting. Using a cross-sectional sample of 2,047 middle-aged men and women, the main objectives were: (1) to examine the rationale for adiposity assessment within clinical practice, and whether methods used for disease classification and anthropometric measurement procedure are important for diagnosing cardiometabolic risk and type 2 diabetes; (2) to compare adiposity variable relationships with a range of cardiometabolic disease features, biomarkers of chronic low-grade inflammation and type 2 diabetes; (3) to explore whether central adiposity indices provide additional information regarding disease and risk status, compared to general adiposity characterised by body mass index (BMI); (4) to investigate the clinical utility of a composite index using both general and central adiposity measures. The results suggest that surrogate measures of central adiposity provide information regarding disease status and cardiometabolic risk, independent of that provided by BMI, and that a composite index using both BMI and central adiposity measures may help refine body fat classification. Earlier identification of patients at increased cardiometabolic risk, and those with type 2 diabetes, could allow earlier targeted interventions to be implemented, thus reducing the incidence of related complications, premature mortality and financial costs associated with the obesity epidemic.	en
dc.description.sponsorship	Health Research Board (HRC/2007/13)	en
dc.description.status	Not peer reviewed	en
dc.description.version	Accepted Version
dc.format.mimetype	application/pdf	en
dc.identifier.citation	Millar, S. R. 2016. A comparative evaluation of surrogate measures of adiposity as indictors of cardiometabolic disease. PhD Thesis, University College Cork.	en
dc.identifier.endpage	298	en
dc.identifier.uri	https://hdl.handle.net/10468/5417
dc.language.iso	en	en
dc.publisher	University College Cork	en
dc.rights	© 2016, Seán Russell Millar.	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/	en
dc.subject	Obesity measurement	en
dc.subject	Cardiometabolic risk	en
dc.thesis.opt-out	false
dc.title	A comparative evaluation of surrogate measures of adiposity as indictors of cardiometabolic disease	en
dc.type	Doctoral thesis	en
dc.type.qualificationlevel	Doctoral	en
dc.type.qualificationname	PhD (Medicine and Health)	en
ucc.workflow.supervisor	i.perry@ucc.ie