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dc.contributor.authorChen, Yixian
dc.date.accessioned2019-10-23T20:14:38Z
dc.date.available2019-10-23T20:14:38Z
dc.identifier.urihttp://hdl.handle.net/10464/14548
dc.description.abstractThe purpose of the study was to evaluate the associations between selected dietary factors, body mass index (BMI), selected obesity-related metabolic markers, and lung cancer risk as well as histological types in ever-smokers (former and current-smokers). Characteristics of interest included BMI at age 50, fruits and vegetables daily frequency, supplemental beta-carotene intake, C-peptide (CP), high-sensitivity C-reactive protein (hsCRP), and leptin concentrations. Data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial were analyzed. Linear regression models were used to describe the associations between quantitative variables. The relationships between variables of interest and lung cancer were studied by logistic regression modelling. Multivariable fractional polynomial (MFP) models were utilized to address non-linearity in these associations. Higher fruits and vegetables daily frequency and supplemental beta-carotene intake were associated with a lower risk of lung cancer in ever-smokers. Metabolic markers, C-peptide and hsCRP, were positively associated with lung cancer risk. Inverse relationships were observed between BMI and leptin with lung cancer risk. The relationships between selected dietary factors, BMI, selected metabolic markers, and lung cancer risk were more prominent in non-small cell lung cancer (NSCLC) in comparison with those in small cell lung cancer (SCLC).en_US
dc.language.isoengen_US
dc.publisherBrock Universityen_US
dc.subjectlung canceren_US
dc.subjectpublic healthen_US
dc.subjectdieten_US
dc.subjectobesityen_US
dc.subjectmetabolic markeren_US
dc.titleAssociations between Selected Dietary Factors, Selected Obesity-Related Metabolic Markers (Leptin, C-peptide, and High-sensitivity C-reactive Protein), and Lung Cancer: A Matched Case-Control Study Nested in the Prospective PLCO Trialen_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.dateFOA2019-10-18T00:00:00Z


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