2008
DOI: 10.1016/j.amepre.2008.06.040
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Cost Effectiveness of Community-Based Physical Activity Interventions

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Cited by 259 publications
(299 citation statements)
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“…Based on the recent data it has been estimated that 17-91% of adults living in developing countries and 4-85% in developed countries do not meet the WHO's physical activity guidelines for the healthy levels of physical activity recommended by WHO (EUphact, 2008;Oldridge, 2008;WHO Global Status Report NCDs, 2010). For example, the prevalence of physical inactivity was the highest among Canadian adults (85%), followed by EU members (71%), Argentina population (68%), Polish adults (64%), English adults (63%), Americans (54.1%), South Africans (52%), the people living in France (33%), China (31.1%) (aged 15-69), Thailand (19%), Mongolia (9%), and Bangladesh less than 10% (Martin et al, 2001;Saris et al, 2004;Roux et al, 2008;Drygas et al, 2009;WHO Global Status Report NCDs, 2010;Colley et al, 2011;Department of Health, 2011;Australian Bureau of Statistic 2012;Rishiraj, 2013;Zhang and Chaaban, 2013). These data show that physical inactivity have reached epidemic state in developed countries.…”
Section: Health and Economic Costs Of Physical Inactivity Joanna Krukmentioning
confidence: 99%
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“…Based on the recent data it has been estimated that 17-91% of adults living in developing countries and 4-85% in developed countries do not meet the WHO's physical activity guidelines for the healthy levels of physical activity recommended by WHO (EUphact, 2008;Oldridge, 2008;WHO Global Status Report NCDs, 2010). For example, the prevalence of physical inactivity was the highest among Canadian adults (85%), followed by EU members (71%), Argentina population (68%), Polish adults (64%), English adults (63%), Americans (54.1%), South Africans (52%), the people living in France (33%), China (31.1%) (aged 15-69), Thailand (19%), Mongolia (9%), and Bangladesh less than 10% (Martin et al, 2001;Saris et al, 2004;Roux et al, 2008;Drygas et al, 2009;WHO Global Status Report NCDs, 2010;Colley et al, 2011;Department of Health, 2011;Australian Bureau of Statistic 2012;Rishiraj, 2013;Zhang and Chaaban, 2013). These data show that physical inactivity have reached epidemic state in developed countries.…”
Section: Health and Economic Costs Of Physical Inactivity Joanna Krukmentioning
confidence: 99%
“…Also, Cadilhac and co-workers (2011) have developed simulation models that show that a 10% reduction in physical inactivity causes the decrease of incident cases of disease by 6000 deaths during 2000 and total cost savings of AUD 258 million. Similarly, the calculated cost-effectiveness of interventions by Roux et al (2008) in order to promote adequate physical activity, although a high (ranged between $14000 and $69000 per quality-adjusted life year) appears profitable. This authors estimate the following considerable reduction of civilization diseases incidence per 100,000: 5-15 cases for colorectal cancer, 15-58 cases for breast cancer, 59-207 cases for diabetes type 2, and 140-476 cases for coronary heart disease over lifetime.…”
Section: Costs Of Physical Inactivitymentioning
confidence: 99%
“…122 Population interventions tend to work quickly 77,78 and to be cost saving. 53,73,101 Structural changes to avoid chronic diseases are now favoured from several sides. 137 The growing literature of the possible impact of structural strategies on health signals a paradigm shift in CVD prevention.…”
Section: Discussionmentioning
confidence: 99%
“…A simulation study showed that change in environment to support more active lifestyle was cost-effective. 101 Public perception of the importance of physical activity is still relative low in some countries, e.g. Croatia.…”
Section: Physical Inactivitymentioning
confidence: 99%
“…These results are comparable with the cost-effectiveness of community-based PA (US$14,000-69,000 per QALY) and behavioural (US$235-30,419 per QALY) interventions found in previous reviews. 118,119 In the medium-term analysis, the results of the hypothetical control scenarios in which the RCT comparison group 12-month data were extrapolated, after excluding the 11% of men who lost ≥ 5% weight at 12 months (scenarios 4 and 5), do not triangulate with the scenarios in which baseline data are extrapolated (base case and scenario 1), as we might have expected. (These scenarios all take into account the fact that the comparison group lost weight during the RCT.…”
Section: Medium-term and Lifetime Cost-effectiveness Of The Football mentioning
confidence: 99%