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      Active Travel to Work and Cardiovascular Risk Factors in the United Kingdom

      , , ,
      American Journal of Preventive Medicine
      Elsevier BV

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          Abstract

          Increasing active travel (walking, cycling, public transport) is increasingly seen as integral to strategies to raise physical activity levels. This study examined (1) sociodemographic correlates of active travel to work and (2) associations between active travel and cardiovascular risk factors in the United Kingdom (UK). Data come from Understanding Society, a nationally representative survey of UK residents in 2009/2011, analyzed in 2012. Multinomial logistic regression assessed associations between sociodemographic factors and mode of transport to work. Linear and logistic regression was used to examine associations between mode of travel and overweight/obesity, and having hypertension or diabetes. A total of 69% of participants traveled to work using private transport, with public transport, walking, and cycling used by 16%, 12%, and 3%, respectively. Use of any active travel was more likely in participants living in London. Black participants were more likely to walk (AOR=1.41, 95% CI=1.08, 1.84) or take public transport (AOR=2.34, 95% CI=1.88, 2.90) to work than whites. Using public transport, walking, or cycling to work was associated with a lower likelihood of being overweight (AOR=0.80, 95% CI=0.54, 0.88 for walking). Walking or cycling was associated with a lower likelihood of having diabetes, and walking was associated with a lower likelihood of having hypertension than private transport (AOR=0.83, 95% CI=0.71, 0.97). There are wide variations in the mode of travel to work across regions and sociodemographic groups in the UK. The protective association between active travel and cardiovascular risk demonstrated in this nationally representative study adds to growing evidence that concerted policy focus in this area may benefit population health. Copyright © 2013 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

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          Most cited references13

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          Global physical activity levels: surveillance progress, pitfalls, and prospects

          The Lancet, 380(9838), 247-257
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            Public health benefits of strategies to reduce greenhouse-gas emissions: urban land transport.

            We used Comparative Risk Assessment methods to estimate the health effects of alternative urban land transport scenarios for two settings-London, UK, and Delhi, India. For each setting, we compared a business-as-usual 2030 projection (without policies for reduction of greenhouse gases) with alternative scenarios-lower-carbon-emission motor vehicles, increased active travel, and a combination of the two. We developed separate models that linked transport scenarios with physical activity, air pollution, and risk of road traffic injury. In both cities, we noted that reduction in carbon dioxide emissions through an increase in active travel and less use of motor vehicles had larger health benefits per million population (7332 disability-adjusted life-years [DALYs] in London, and 12 516 in Delhi in 1 year) than from the increased use of lower-emission motor vehicles (160 DALYs in London, and 1696 in Delhi). However, combination of active travel and lower-emission motor vehicles would give the largest benefits (7439 DALYs in London, 12 995 in Delhi), notably from a reduction in the number of years of life lost from ischaemic heart disease (10-19% in London, 11-25% in Delhi). Although uncertainties remain, climate change mitigation in transport should benefit public health substantially. Policies to increase the acceptability, appeal, and safety of active urban travel, and discourage travel in private motor vehicles would provide larger health benefits than would policies that focus solely on lower-emission motor vehicles.
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              A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systematic review.

              Obesity is a rapidly increasing public health problem, with surveillance most often based on self-reported values of height and weight. We conducted a systematic review to determine what empirical evidence exists regarding the agreement between objective (measured) and subjective (reported) measures in assessing height, weight and body mass index (BMI). Five electronic databases were searched to identify observational and experimental studies on adult populations over the age of 18. Searching identified 64 citations that met the eligibility criteria and examined the relationship between self-reported and directly measured height or weight. Overall, the data show trends of under-reporting for weight and BMI and over-reporting for height, although the degree of the trend varies for men and women and the characteristics of the population being examined. Standard deviations were large indicating that there is a great deal of individual variability in reporting of results. Combining the results quantitatively was not possible because of the poor reporting of outcomes of interest. Accurate estimation of these variables is important as data from population studies such as those included in this review are often used to generate regional and national estimates of overweight and obesity and are in turn used by decision makers to allocate resources and set priorities in health.
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                Author and article information

                Journal
                American Journal of Preventive Medicine
                American Journal of Preventive Medicine
                Elsevier BV
                07493797
                September 2013
                September 2013
                : 45
                : 3
                : 282-288
                Article
                10.1016/j.amepre.2013.04.012
                23953354
                7d5dde9b-d89b-44f1-ae3f-cd53722edbba
                © 2013

                https://www.elsevier.com/tdm/userlicense/1.0/

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