H Krueger1,2, J M Koot2, D P Rasali3,4, S E Gustin3, M Pennock5. 1. School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada. 2. H. Krueger & Associates Inc., Delta, British Columbia, Canada. 3. Population and Public Health, British Columbia Provincial Health Services Authority (PHSA), Vancouver, British Columbia, Canada. 4. Faculty of Kinesiology and Health Studies, University of Regina, Regina, Saskatchewan, Canada. 5. Population Health Surveillance and Public Health Planning, British Columbia Ministry of Health, Vancouver, British Columbia, Canada.
Abstract
INTRODUCTION: Prevalence rates of excess weight, tobacco smoking and physical inactivity vary substantially by geographical region within British Columbia (B.C.). The purpose of this study is to determine the potential reduction in economic burden in B.C. if all regions in the province achieved prevalence rates of these three risk factors equivalent to those of the region with the lowest rates. METHODS: We used a previously developed approach based on population-attributable fractions to estimate the economic burden associated with the various risk factors. Sex-specific relative risk and age/sex-specific prevalence data was used in the modelling. RESULTS: The annual economic burden attributable to the three risk factors in B.C. was about $5.6 billion in 2013, with a higher proportion of this total attributable to excess weight ($2.6 billion) than to tobacco smoking ($2.0 billion). While B.C. has lower prevalence rates of the risk factors than any other Canadian province, there is significant variation within the province. If each region in the province were to achieve the best prevalence rates for the three risk factors, then $1.4 billion (24% of the $5.6 billion) in economic burden could be avoided annually. CONCLUSION: There are notable disparities in the prevalence of each risk factor across health regions within B.C., which were mirrored in each region's attributable economic burden. A variety of social, environmental and economic factors likely drive some of this geographical variation and these underlying factors should be considered when developing prevention programs.
INTRODUCTION: Prevalence rates of excess weight, tobacco smoking and physical inactivity vary substantially by geographical region within British Columbia (B.C.). The purpose of this study is to determine the potential reduction in economic burden in B.C. if all regions in the province achieved prevalence rates of these three risk factors equivalent to those of the region with the lowest rates. METHODS: We used a previously developed approach based on population-attributable fractions to estimate the economic burden associated with the various risk factors. Sex-specific relative risk and age/sex-specific prevalence data was used in the modelling. RESULTS: The annual economic burden attributable to the three risk factors in B.C. was about $5.6 billion in 2013, with a higher proportion of this total attributable to excess weight ($2.6 billion) than to tobacco smoking ($2.0 billion). While B.C. has lower prevalence rates of the risk factors than any other Canadian province, there is significant variation within the province. If each region in the province were to achieve the best prevalence rates for the three risk factors, then $1.4 billion (24% of the $5.6 billion) in economic burden could be avoided annually. CONCLUSION: There are notable disparities in the prevalence of each risk factor across health regions within B.C., which were mirrored in each region's attributable economic burden. A variety of social, environmental and economic factors likely drive some of this geographical variation and these underlying factors should be considered when developing prevention programs.
Entities:
Keywords:
body weight; economic burden of disease; physical activity; populations at risk; risk factors; tobacco smoking
Authors: N Burgess Record; Daniel K Onion; Roderick E Prior; David C Dixon; Sandra S Record; Fenwick L Fowler; Gerald R Cayer; Christopher I Amos; Thomas A Pearson Journal: JAMA Date: 2015-01-13 Impact factor: 56.272
Authors: K Robin Yabroff; Cathy J Bradley; Angela B Mariotto; Martin L Brown; Eric J Feuer Journal: J Natl Cancer Inst Date: 2008-12-09 Impact factor: 13.506
Authors: Daphne P Guh; Wei Zhang; Nick Bansback; Zubin Amarsi; C Laird Birmingham; Aslam H Anis Journal: BMC Public Health Date: 2009-03-25 Impact factor: 3.295
Authors: Hans Krueger; Sylvia Robinson; Trevor Hancock; Richard Birtwhistle; Jane A Buxton; Bonnie Henry; Jennifer Scarr; John J Spinelli Journal: BMC Health Serv Res Date: 2022-04-26 Impact factor: 2.908
Authors: Darren R Brenner; Abbey E Poirier; Stephen D Walter; Will D King; Eduardo L Franco; Paul A Demers; Paul J Villeneuve; Yibing Ruan; Farah Khandwala; Xin Grevers; Robert Nuttall; Leah Smith; Prithwish De; Karena Volesky; Dylan O'Sullivan; Perry Hystad; Christine M Friedenreich Journal: BMJ Open Date: 2018-08-01 Impact factor: 2.692
Authors: Chelsea Pelletier; Anne Pousette; Gloria Fox; Robin Keahey; Kirsten Ward; Guy Faulkner; Drona Rasali; Sandra Allison Journal: Res Involv Engagem Date: 2019-11-27