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      Competing risks analysis of end-stage-renal disease and mortality among adults with diabetes - a comparison of First Nations people and other Saskatchewan residents

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      JIANG-THESIS.pdf (1.732Mb)
      Date
      2012-06-04
      Author
      Jiang, Ying
      Type
      Thesis
      Degree Level
      Masters
      Metadata
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      Abstract
      Background: End stage renal disease (ESRD) is a growing public health problem in Canada and it disproportionately affects Aboriginal people. Diabetes is the most common reported cause of ESRD. Objectives and methods: To determine whether there are significant disparities in the risk of ESRD and mortality without ESRD between diabetic First Nations (FN) and other Saskatchewan (OSK) people; to build and validate diabetic ESRD dynamic models. This is a population study of diabetes, utilizing data drawn from the Saskatchewan Ministry of Health administrative databases from 1980 to 2005. Competing risks survival analysis was used, including a Cox cause-specific model, Weibull proportional hazards (PH) model and piece-wise exponential PH hazards model. System Dynamics modeling (SDM) and agent-based modeling (ABM) methods were used to build dynamic models of diabetic patients’ progression to ESRD. Results: There were a total of 90,429 diabetic people in the study cohort, from 1980 to 2005. Among them, 8,254 (9%) of them were FN people. The average age at diabetes diagnosis for FN was 47.2 (SD=14) years old while for OSK, it was 61.6 (SD=15.3) years old (P-value<0.0001). After adjusting for sex and age at diabetes diagnosis, the risk of developing ESRD was 2.97 times higher for FN compared to OSK (95% CI: 2.51-3.54; P-value<0.0001). FN had lower risk of death than OSK before adjusting for age and sex difference. After adjusting for diabetes diagnosis age, sex, interaction between age and sex and interaction between age and ethnicity, FN had higher risk of death than OSK given the same sex and diabetes diagnosis age (younger than 81 years old). Using the same hazard rate estimations from competing risks survival analysis, the ABM model demonstrated a better match between historical data and model predicted data compared to the SD model. Conclusion: A much younger age of diabetes diagnosis among FN compared to OSK likely contributes to higher rates of ESRD because of a differential mortality effect – FN with diabetes are more likely to live long enough to develop ESRD.
      Degree
      Master of Science (M.Sc.)
      Department
      Community Health and Epidemiology
      Program
      Epidemiology
      Supervisor
      Lim, Hyun; Osgood, Nathaniel
      Committee
      Dyck, Roland; Janzen, Bonnie; Deng, Dianliang
      Copyright Date
      May 2012
      URI
      http://hdl.handle.net/10388/ETD-2012-05-446
      Subject
      diabetes
      end-stage-renal disease
      mortality
      competing risks survival analysis
      System Dynamics modeling
      agent-based modeling
      hazard rate.
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      • Graduate Theses and Dissertations
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