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      Impact of new rapid transit on physical activity: A meta-analysis

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          Abstract

          New rapid transit investments have been motivated by environmental, economic, and health benefits. Given transit's potential to increase active travel, recent research leverages transit changes for natural experiment studies to examine physical activity outcomes. We aimed to quantify the association size, critically examine existing literature, and make recommendations for future studies to advance research and policies on active travel, transportation, and physical activity. Studies of physical activity impacts following transit interventions were systematically reviewed using seven health and transport databases (May–July 2017). Two investigators extracted data on sample size, intervention, pre- and post-intervention physical activity, and relevant measurement information. Inconsistency of results and estimated overall mean physical activity change post-intervention were assessed. Forest plots were created from physical activity change in each study using a general variance-based random effects model. Of 18 peer-reviewed articles examining health behaviors, 15 addressed physical activity and five were natural experiment studies with pre- and post- intervention measurements. Studies varied by intervention, duration, outcome measurement, sampling location, and spatial method. Q (201) and I 2 (98%) indicated high study heterogeneity. Among these five studies, after transit interventions, total physical activity decreased (combined mean - 80.4 min/week, 95% CI - 157.9, −2.9), but transport-related physical activity increased (mean 6.7 min/week, 95% CI - 10.1, 23.5). Following new transit infrastructure, total physical activity may decline but transport-related physical activity may increase. Positive transit benefits were location, sociodemographic, or activity-specific. Future studies should address context, ensure adequate follow-up, utilize controls, and consider non-residential environments or participants.

          Highlights

          • Five natural experiments reported sufficient activity metrics for meta-analysis.

          • Total physical activity decreased; transport-related physical activity increased.

          • Positive associations are specific to subgroup, proximity, or travel behavior.

          • Studies should consider context, measurement accuracy, follow-up, and controls.

          • Health may be a co-benefit of rapid transit investments aimed at other purposes.

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          Most cited references32

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          Active commuting and cardiovascular risk: a meta-analytic review.

          Leisure time physical activity is inversely associated with cardiovascular risk, although evidence for the protective effects of active commuting is more limited. The present review examines evidence from prospective epidemiological studies of commuting activity and cardiovascular risk. Meta-analytic procedures were performed to examine the association between commuting physical activity and cardiovascular risk. Several cardiovascular endpoints were examined including mortality, incident coronary heart disease, stroke, hypertension and diabetes. We included eight studies in the overall analysis (173,146 participants) that yielded 15 separate risk ratios (RR). The overall meta-analysis demonstrated a robust protective effect of active commuting on cardiovascular outcomes (integrated RR=0.89, 95% confidence interval 0.81-0.98, p=0.016). However, the protective effects of active commuting were more robust among women (0.87, 0.77-0.98, p=0.02) than in men (0.91, 0.80-1.04, p=0.17). Active commuting that incorporates walking and cycling was associated with an overall 11% reduction in cardiovascular risk, which was more robust among women. Future studies should investigate the reasons for possible gender effects and also examine the importance of commuting activity intensity.
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            Walking to public transit: steps to help meet physical activity recommendations.

            Nearly half of Americans do not meet the Surgeon General's recommendation of > or =30 minutes of physical activity daily. Some transit users may achieve 30 minutes of physical activity daily solely by walking to and from transit. This study estimates the total daily time spent walking to and from transit and the predictors of achieving 30 minutes of physical activity daily by doing so. Transit-associated walking times for 3312 transit users were examined among the 105,942 adult respondents to the 2001 National Household Travel Survey, a telephone-based survey sponsored by the U.S. Department of Transportation to assess American travel behavior. Americans who use transit spend a median of 19 minutes daily walking to and from transit; 29% achieve > or =30 minutes of physical activity a day solely by walking to and from transit. In multivariate analysis, rail users, minorities, people in households earning or =30 minutes walking to and from transit daily. Walking to and from public transportation can help physically inactive populations, especially low-income and minority groups, attain the recommended level of daily physical activity. Increased access to public transit may help promote and maintain active lifestyles. Results from this study may contribute to health impact assessment studies (HIA) that evaluate the impact of proposed public transit systems on physical activity levels, and thereby may influence choices made by transportation planners.
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              Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and weight status

              Background The purpose of this study is to compare self-reported time (by questionnaire) and objectively measured time (by accelerometer) spent on physical activity at moderate (MPA) and vigorous intensity (VPA) in subgroups of age, gender, education and weight status. Methods In total, 236 adolescents (aged 12–18) and 301 adults (aged 22–40), completed the questionnaire and wore an accelerometer for two weeks. Results Adolescents reported exceptionally more time spent on MPA (mean difference 596 ± 704 min/wk) and VPA (mean difference 178 ± 315 min/wk) than was assessed objectively by the accelerometer. Based on the questionnaire, high educated adolescents spent more time on MPA (205 min/wk, p = 0.002) and VPA (120 min/wk, p = 0.01) than low educated adolescents, but according to the accelerometer they spent less time on MPA (149 min/wk, p = 0.001) and VPA (47 min/wk, p = 0.001). Among adults there was moderate agreement between self-reported time and objectively measured time spent on MPA, but in general the reported time spent on MPA (mean difference 107 ± 334 min/wk) and VPA (mean difference 169 ± 250 min/wk) exceeded the time measured with the accelerometer. Overweight adults reported significantly more VPA (57 min/wk, p = 0.04) than normal weight adults, but this was not confirmed by the accelerometer data. Conclusion We observed large differences in time spent on MPA and VPA measured by questionnaire and accelerometer in adolescents but reasonably good agreement in adults. Differences between methods varied by gender, education and weight status. This finding raises serious questions about the use of questionnaires to quantify MPA and VPA in adolescents. There is a clear need in advanced valid assessments of PA in adolescents. Trial number ISRCTN93896459
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                Author and article information

                Contributors
                Journal
                Prev Med Rep
                Prev Med Rep
                Preventive Medicine Reports
                Elsevier
                2211-3355
                11 March 2018
                June 2018
                11 March 2018
                : 10
                : 184-190
                Affiliations
                [a ]Urban Health Collaborative and Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadephia, PA, USA
                [b ]Urban Studies Program, Faculty of Arts and Social Sciences, Simon Fraser University, Burnaby, BC, Canada
                [c ]School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
                [d ]Health and Community Design Lab, Schools of Population and Public Health and Community and Regional Planning, University of British Columbia, Vancouver, BC, Canada
                [e ]Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
                Author notes
                [* ]Corresponding author at: Faculty of Health Sciences, 8888 University Drive, Burnaby, BC V5A 1S6, Canada. meghan_winters@ 123456sfu.ca
                Article
                S2211-3355(18)30046-9
                10.1016/j.pmedr.2018.03.008
                5984234
                29868365
                e731e752-ee83-4f55-bbfc-738189749e33
                © 2018 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 2 January 2018
                : 5 March 2018
                : 9 March 2018
                Categories
                Review Article

                brt, bus rapid transit,lrt, light rail transit,mvpa, moderate to vigorous physical activity,rrt, rail rapid transit,transportation,physical activity,meta-analysis,longitudinal studies,walking,active travel

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