References

1. Physical Activity Guidelines Advisory Committee. Physical Activity Guidelines Advisory Committee Report, 2008. Washington, D.C.: U.S. Department of Health and Human Services, 2008.

2. Warburton DER, Charlesworth S, Ivey A, et al. A systematic review of the evidence for Canada's  Physical Activity Guidelines for Adults. International Journal of Behavioral Nutrition and Physical
Activity
2010; 7: 39-259.

3. Paterson DH, Warburton DER. Physical activity and functional limitations in older adults: a systematic review related to Canada's Physical Activity Guidelines. International Journal of Behavioral Nutrition and Physical Activity 2010; 7: 38-60.

4. Colley RC, Garriguet D, Janssen I, et al. Physical activity levels of Canadian adults: Accelerometer results from the 2007 to 2009 Canadian Health Measures Survey. Health Reports 2011; 22(1): 7-14.

5. Rutter CM, Zaslavsky AM, Feuer EJ. Dynamic microsimulation models for health outcomes: a review. Medical Decision Making 2011; 31: 10-8.

6. Glied S, Tilipman N. Simulation modeling of health care policy. Annual Review of Public Health 2010; 31: 439-55.

7. Fone D, Hollinghurst S, Temple M, et al. Systematic review of the use and value of computer simulation modelling in population health and health care delivery. Journal of Public Health Medicine 2003; 25: 325-35.

8. Koopman JS, Chick SE, Riolo CP, et al. Stochastic effects of disseminating versus local infection transmission. Mathematical Biosciences 2002; 1801: 49-71.

9. Loeve F, Boer R, van Oortmarssen GJ, et al. The MISCAN-COLON simulation model for the evaluation of colorectal cancer screening. Computers and Biomedical Research 1999; 32: 13-33.

10. Flanagan WM, Le Petit C, Berthelot JM, et al. Potential impact of population-based colorectal cancer screening in Canada. Chronic Diseases in Canada 2003; 24: 81-8.

11. Basu A. Forecasting distribution of body mass index in the United States: is there more room for growth? Medical Decision Making 2010; 30: E1-11.

12. Eddy DM, Schlessinger L. Archimedes: A trial-validated model of diabetes. Diabetes Care 2003; 26: 3093-101.

13. Zhou H, Isaman DJM, Messinger S, et al. A computer simulation model of diabetes progression, quality of life, and cost. Diabetes Care 2005; 28: 2856-63.

14. Kang HY, Ko SK, Liew D. Results of a Markov model analysis to assess the cost-effectiveness of statin therapy for the primary prevention of cardiovascular disease in Korea: the Korean Individual-Microsimulation Model for Cardiovascular Health Interventions. Clinical Therapy 2009; 31: 2919-30.

15. Wolfson MC. POHEM–a framework for understanding and modelling the health of human populations. World Health Statistics Quarterly 1994; 47: 157-76.

16. Evans WK, Will BP, Berthelot JM, Wolfson MC. Estimating the cost of lung cancer diagnosis and treatment in Canada: The POHEM model. The Canadian Journal of Oncology 1995; 5: 408-19.

17. Earle CC, Evans WK. Cost-effectiveness of paclitaxel plus cisplatin in advanced non-small-cell lung cancer. British Journal of Cancer 1999; 80: 815-20.

18. Will BP, Le Petit C, Berthelot JM, et al. Diagnostic and therapeutic approaches for nonmetastatic breast cancer in Canada, and their associated costs. British Journal of Cancer 1999; 79:1428-36.

19. Will BP, Nobrega KM, Berthelot JM, et al. First do no harm: Extending the debate on the provision of preventive tamoxifen. British Journal of Cancer 2001; 85: 1280-8.

20. Kopec JA, Sayre EC, Flanagan WM, et al. Development of a population-based microsimulation model of osteoarthritis in Canada. Osteoarthritis and Cartilage 2010; 18: 303-11.

21. Berkowitz N, Gupta S, Silberman G. Estimates of the lifetime direct costs of treatment for metastatic breast cancer. Value in Health: The Journal of the International Society for Pharmacoeconomics and Outcomes Research 2000; 3: 23-30.

22. Schilling C, O’Connor P. The benefits of interventions to reduce smoking during pregnancy: A microsimulation application for New Zealand. Proceedings of the 3rd General Conference of the International Microsimulation Association; 2011 June 8-10. Stockholm, Sweden: International Microsimulation Association, 2011. Accessed at: http://www.scb.se/Pages/Standard____332371.aspx

23. Statistics Canada. Canadian Community Health Survey. Accessed March 24, 2011 at : http://www.statcan.gc.ca/cchs

24. Béland Y. Canadian Community Health Survey—Methodological overview. Health Reports 2002; 13(3): 9-14.

25. Feeny D, Furlong W, Torrance G, et al. Multiattribute and single-attribute utility functions for the Health Utilities Index Mark 3 System. Medical Care 2002; 40: 113-28.

26. Statistics Canada. National Population Health Survey. Accessed March 24, 2011 at: http://www.statcan.gc.ca/nphs

27. Swain L, Catlin G, Beaudet MP. The National Population Health Survey—Its longitudinal nature. Health Reports 1999; 10(4): 69-82.

28. Tambay J-L, Catlin G. Sample design of the National Population Health Survey. Health Reports 1995; 7(1): 29-38.

29. Statistics Canada. Cancer Statistics 2005 (Catalogue 84-601-XIE). Accessed March 21, 2011 at: http://www.statcan.gc.ca/pub/84-601-x/84-601-x2005001-eng.htm

30. George MV, Loh S, Verma RBP, Shin YE. Population Projections for Canada, Provinces and Territories, 2000-2006 (Catalogue 91-520-XPB) Ottawa: Statistics Canada, 2001.

31. Public Health Agency of Canada. Diabetes in Canada: Second Edition. Accessed February 1, 2011 at: http://www.phac-aspc.gc.ca/publicat/dic-dac2/english/03foreword-eng.php

32. Connor Gorber S, Tremblay MS, Campbell N, Hardt J. The accuracy of self-reported hypertension: a systematic review and meta-analysis. Current Hypertension Reviews 2008; 4: 36-62.

33. Wilkins K, Campbell NRC, Joffres MR, et al. Blood pressure in Canadian adults. Health Reports 2010; 21(1): 37-46.

34. Prince SA, Adamo KB, Hamel ME, et al. A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2008; 5: 56-80. doi:10.1186/1479-5868-5-56.

35. Statistics Canada. Canadian Health Measures Survey. Accessed May 13, 2013 at: http://www.statcan.gc.ca/chms

36. Centers for Disease Control and Prevention. National Health and Nutrition Examination Survey. Accessed February 1, 2011 at: http://www.cdc.gov/nchs/nhanes/about_nhanes.htm

37. Katzmarzyk PT, Tremblay MS. Limitations of Canada’s physical activity data: implications for monitoring trends. Applied Physiology, Nutrition and Metabolism 2007; 32: S185-94.

38. Knuth AG, Hallal PC. Temporal trends in physical activity: a systematic review. Journal of Physical Activity and Health 2009; 6: 548-59.

39. Li FX, Robson PJ, Chen Y, et al. Prevalence, trend, and sociodemographic association of five modifiable lifestyle risk factors for cancer in Alberta and Canada. Cancer Causes Control 2009; 20: 395-407.

40. Carlson SA, Densmore D, Fulton JE, et al. Differences in physical activity prevalence and trends from 3 US surveillance systems: NHIS, NHANES, and BRFSS. Journal of Physical Activity and Health 2009; 6(Suppl. 1): S18-27.

Date modified: