2014
DOI: 10.1016/j.socscimed.2014.05.003
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Active travel intervention and physical activity behaviour: An evaluation

Abstract: A physically active lifestyle is an important contributor to individual health and well-being. The evidence linking higher physical activity levels with better levels of morbidity and mortality is well understood. Despite this, physical inactivity remains a major global risk factor for mortality and, consequently, encouraging individuals to pursue physically active lifestyles has been an integral part of public health policy in many countries. Physical activity promotion and interventions are now firmly on nat… Show more

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Cited by 33 publications
(26 citation statements)
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“…Para o julgamento da qualidade calculou-se a média dos critérios, adotando-se a seguinte classificação: excelente (9,0-10,0); bom (7,0-8,9); regular (5,0-6,9); fraco (3,0-4,9) e crítico (<3,0). Halla let al 34 Parra et al 35 Mendonça et al 31 Dubuy, et al 29 Norwood et al 32 Reis et al 33 Fernandes et al 36 Baba et al 37…”
Section: Introductionunclassified
“…Para o julgamento da qualidade calculou-se a média dos critérios, adotando-se a seguinte classificação: excelente (9,0-10,0); bom (7,0-8,9); regular (5,0-6,9); fraco (3,0-4,9) e crítico (<3,0). Halla let al 34 Parra et al 35 Mendonça et al 31 Dubuy, et al 29 Norwood et al 32 Reis et al 33 Fernandes et al 36 Baba et al 37…”
Section: Introductionunclassified
“…Active commuting provides a time saving, multi-tasking option for parents, traveling to work while also being physically active. A number of studies have indicated that those who actively travel to work are more likely to meet current PA recommendations, which is associated with a plethora of positive physical and mental health and chronic disease prevention benefits [34,35,36,37,38].…”
Section: Discussionmentioning
confidence: 99%
“…Six studies used an alternative to simple pre-post analysis to address the dilemma of correcting for time trends: the difference-in-differences (DD) approach ( 19 , 35 , 44 , 52 , 61 , 71 ). Instead of comparing only health outcomes in a community before and after a policy implementation, a DD analysis (illustrated in Figure 2 ) additionally compares the change in health outcomes in the policy-exposed population to the simultaneous change in the health outcome in a comparable population unexposed to the policy.…”
Section: Distinguishing a Policy Effect From Time Trends Or Differencmentioning
confidence: 99%