OBJECTIVE: To investigate the use of computer models as tools for policy makers in evaluating physical activity interventions aimed at reducing deaths from coronary heart disease (CHD). DESIGN: The cell-based computer model Prevent, adapted to simulate risk factor interventions for an English and Welsh population, was used to simulate the effect of two strategies for increasing physical activity levels in respect of CHD mortality over 25 years. The first strategy involved a 25% increase in the proportion of 15-64 year olds who were moderately active, while the second strategy involved a similar increase in the proportion who were vigorously active. The effects of focusing on narrower age ranges and on people at different initial activity levels were also explored. MAIN RESULTS: The simulations showed a small reduction in the CHD death rates--less than 0.15% and 0.06% for men and women respectively. The strategies would postpone up to 12,100 deaths over 25 years, comparable to the effect of a 2% reduction in smoking prevalence. The strategies seemed as if they would be more effective if they concentrated on men rather than women, on those over 45 years of age as opposed to all or younger age groups, and on the least active members of the population rather than those already taking some exercise. CONCLUSION: The use of computer modelling for stimulating physical activity strategies has shown that concentrating these interventions on older sedentary men will produce the greatest health gain, but efforts to encourage smoking cessation may be more effective in terms of years of life saved.
OBJECTIVE: To investigate the use of computer models as tools for policy makers in evaluating physical activity interventions aimed at reducing deaths from coronary heart disease (CHD). DESIGN: The cell-based computer model Prevent, adapted to simulate risk factor interventions for an English and Welsh population, was used to simulate the effect of two strategies for increasing physical activity levels in respect of CHD mortality over 25 years. The first strategy involved a 25% increase in the proportion of 15-64 year olds who were moderately active, while the second strategy involved a similar increase in the proportion who were vigorously active. The effects of focusing on narrower age ranges and on people at different initial activity levels were also explored. MAIN RESULTS: The simulations showed a small reduction in the CHD death rates--less than 0.15% and 0.06% for men and women respectively. The strategies would postpone up to 12,100 deaths over 25 years, comparable to the effect of a 2% reduction in smoking prevalence. The strategies seemed as if they would be more effective if they concentrated on men rather than women, on those over 45 years of age as opposed to all or younger age groups, and on the least active members of the population rather than those already taking some exercise. CONCLUSION: The use of computer modelling for stimulating physical activity strategies has shown that concentrating these interventions on older sedentary men will produce the greatest health gain, but efforts to encourage smoking cessation may be more effective in terms of years of life saved.
Authors: S Ebrahim; G D Smith; C McCabe; N Payne; M Pickin; T A Sheldon; F Lampe; F Sampson; S Ward; G Wannamthee Journal: Qual Health Care Date: 1998-12
Authors: Hendriek C Boshuizen; Stefan K Lhachimi; Pieter H M van Baal; Rudolf T Hoogenveen; Henriette A Smit; Johan P Mackenbach; Wilma J Nusselder Journal: Demography Date: 2012-11
Authors: Simon Capewell; Earl S Ford; Janet B Croft; Julia A Critchley; Kurt J Greenlund; Darwin R Labarthe Journal: Bull World Health Organ Date: 2009-12-08 Impact factor: 9.408
Authors: Bob J H van Kempen; Bart S Ferket; Albert Hofman; Ewout W Steyerberg; Ersen B Colkesen; S Matthijs Boekholdt; Nicholas J Wareham; Kay-Tee Khaw; M G Myriam Hunink Journal: BMC Med Date: 2012-12-06 Impact factor: 8.775