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dc.contributor.authorVentresca, Matthew
dc.date.accessioned2016-01-24T13:00:54Z
dc.date.available2016-01-24T13:00:54Z
dc.identifier.urihttp://hdl.handle.net/10464/8083
dc.description.abstractObjective: To determine which socio-demographic, exposure, morbidity and symptom variables are associated with health-related quality of life among former and current heavy smokers. Methods: Cross sectional data from 2537 participants were studied. All participants were at ≥2% risk of developing lung cancer within 6 years. Linear and logistic regression models utilizing a multivariable fractional polynomial selection process identified variables associated with health-related quality of life, measured by the EQ-5D. Results: Upstream and downstream associations between smoking cessation and higher health-related quality of life were evident. Significant upstream associations, such as education level and current working status and were explained by the addition of morbidities and symptoms to regression models. Having arthritis, decreased forced expiratory volume in one second, fatigue, poor appetite or dyspnea were most highly and commonly associated with decreased HRQoL. Discussion: Upstream factors such as educational attainment, employment status and smoking cessation should be targeted to prevent decreased health-related quality of life. Practitioners should focus treatment on downstream factors, especially symptoms, to improve health-related quality of life.en_US
dc.language.isoengen_US
dc.publisherBrock Universityen_US
dc.subjectHealth-related quality of life (HRQoL)en_US
dc.subjectSmokingen_US
dc.subjectVisual analog scale (VAS)en_US
dc.subjectEuroQol 5 Dimension (EQ-5D)en_US
dc.subjectMultivariable fractional polynomial (MFP)en_US
dc.titleSocio-demographic factors, smoking, symptoms, morbidities and pulmonary function and quality of life in individuals with a heavy smoking historyen_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.dateFOA2016-01-12T00:00:00Z


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