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Obesity- Related Health Risk: A Trajectory Based Approach

dc.contributor.advisorArdern, Chris
dc.creatorMatveev, Roman Dimitrievitch
dc.date.accessioned2015-08-28T12:47:04Z
dc.date.available2015-08-28T12:47:04Z
dc.date.copyright2013-11-19
dc.date.issued2015-08-28
dc.date.updated2015-08-28T12:47:04Z
dc.degree.disciplineKinesiology & Health Science
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractThe purpose of this study was to evaluate the Edmonton Obesity Staging System (EOSS) approach as a tool for the identification of obesity-related health risk. Using 20 years of follow-up data from the Coronary Artery Risk Development in Young Adults (CARDIA) study (N=5115; age 18-34), trajectory modelling analysis was used to identify distinct clusters of individuals following similar patterns of obesity using modified EOSS criteria. The final model acquired through the Proc Traj macro suggests that there are 4 distinct EOSS stage-increase trajectories. After adjusting for covariates, individuals in the medium risk trajectory were twice more likely to follow protein consumption guidelines (OR=2.08 95% CI=1.18-3.65), 47% less likely to be black (0.53, 0.37-0.76), 43% less likely to have a history of dieting (0.57, 0.37-0.86), and were also less likely to be either occasional (0.51, 0.29-0.9) or frequent (0.25, 0.14-0.45) weight cyclers when compared to the highest risk trajectory.
dc.identifier.urihttp://hdl.handle.net/10315/29759
dc.language.isoen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectKinesiology
dc.subjectStatistics
dc.subjectEpidemiology
dc.subject.keywordsObesity
dc.subject.keywordsObesity risk
dc.subject.keywordsEdmonton Obesity Staging System
dc.subject.keywordsTrajectory modelling
dc.subject.keywordsLongitudinal
dc.subject.keywordsPopulation health
dc.subject.keywordsCARDIA
dc.titleObesity- Related Health Risk: A Trajectory Based Approach
dc.typeElectronic Thesis or Dissertationen_US

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