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dc.contributor.authorTosevski, Cedomir
dc.date.accessioned2011-03-08T19:11:45Z
dc.date.available2011-03-08T19:11:45Z
dc.date.issued2011-03-08
dc.identifier.urihttp://hdl.handle.net/10464/3187
dc.description.abstractThe aim of this study was to describe the nonlinear association between body mass index (BMI) and breast cancer outcomes and to determine whether BMI improves prediction of outcomes. A cohort of906 breast cancer patients diagnosed at Henry Ford Health System, Detroit (1985-1990) were studied. The median follow-up was 10 years. Multivariate logistic regression was used to model breast cancer recurrence/progression and breast cancer-specific death. Restricted cubic splines were used to model nonlinear effects. Receiver operator characteristic areas under the curves (ROC AUC) were used to evaluate prediction. BMI was nonlinearly associated with recurrence/progression and death (p= 0.0230 and 0.0101). Probability of outcomes increased with increase or decrease ofBMI away from 25. BMI splines were suggestive of improved prediction of death. The ROC AUCs for nested models with and without BMI were 0.8424 and 0.8331 (p= 0.08). I f causally associated, modifying patients BMI towards 25 may improve outcomes.en_US
dc.language.isoengen_US
dc.publisherBrock Universityen_US
dc.subjectObesity -- Health aspectsen_US
dc.subjectBreast -- Canceren_US
dc.titleThe relationship between body mass index and breast cancer recurrence/progression and breast cancer-specific deathen_US
dc.typeElectronic Thesis or Dissertationen_US
dc.degree.nameM.Sc. Applied Health Sciencesen_US
dc.degree.levelMastersen_US
dc.contributor.departmentApplied Health Sciences Programen_US
dc.degree.disciplineFaculty of Applied Health Sciencesen_US
refterms.dateFOA2021-07-30T02:36:15Z


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