Adult Active Transport in the Netherlands: An Analysis of Its Contribution to Physical Activity Requirements
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{"title"=>"Adult active transport in the Netherlands: An analysis of its contribution to physical activity requirements", "type"=>"journal", "authors"=>[{"first_name"=>"Elliot", "last_name"=>"Fishman", "scopus_author_id"=>"55704517200"}, {"first_name"=>"Lars", "last_name"=>"Böcker", "scopus_author_id"=>"55508539900"}, {"first_name"=>"Marco", "last_name"=>"Helbich", "scopus_author_id"=>"26664596200"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84928901588", "doi"=>"10.1371/journal.pone.0121871", "pui"=>"604108749", "pmid"=>"25849902", "scopus"=>"2-s2.0-84928901588", "issn"=>"19326203", "isbn"=>"1932-6203"}, "id"=>"7e9f8188-1497-35df-9450-5427e37544da", "abstract"=>"INTRODUCTION Modern, urban lifestyles have engineered physical activity out of everyday life and this presents a major threat to human health. The Netherlands is a world leader in active travel, particularly cycling, but little research has sought to quantify the cumulative amount of physical activity through everyday walking and cycling. METHODS Using data collected as part of the Dutch National Travel Survey (2010 - 2012), this paper determines the degree to which Dutch walking and cycling contributes to meeting minimum level of physical activity of 150 minutes of moderate intensity aerobic activity throughout the week. The sample includes 74,465 individuals who recorded at least some travel on the day surveyed. As physical activity benefits are cumulative, all walking and cycling trips are analysed, including those to and from public transport. These trips are then converted into an established measure of physical activity intensity, known as metabolic equivalents of tasks. Multivariate Tobit regression models were performed on a range of socio-demographic, transport resources, urban form and meteorological characteristics. RESULTS The results reveal that Dutch men and women participate in 24 and 28 minutes of daily physical activity through walking and cycling, which is 41% and 55% more than the minimum recommended level. It should be noted however that some 57% of the entire sample failed to record any walking or cycling, and an investigation of this particular group serves as an important topic of future research. Active transport was positively related with age, income, bicycle ownership, urban density and air temperature. Car ownership had a strong negative relationship with physically active travel. CONCLUSION The results of this analysis demonstrate the significance of active transport to counter the emerging issue of sedentary lifestyle disease. The Dutch experience provides other countries with a highly relevant case study in the creation of environments and cultures that support healthy, active living.", "link"=>"http://www.mendeley.com/research/adult-active-transport-netherlands-analysis-contribution-physical-activity-requirements", "reader_count"=>58, "reader_count_by_academic_status"=>{"Unspecified"=>6, "Professor > Associate Professor"=>2, "Researcher"=>8, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>13, "Student > Master"=>9, "Other"=>2, "Student > Bachelor"=>11, "Lecturer"=>2, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>6, "Professor > Associate Professor"=>2, "Researcher"=>8, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>13, "Student > Master"=>9, "Other"=>2, "Student > Bachelor"=>11, "Lecturer"=>2, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>12, "Engineering"=>5, "Environmental Science"=>4, "Nursing and Health Professions"=>8, "Medicine and Dentistry"=>5, "Arts and Humanities"=>1, "Sports and Recreations"=>10, "Business, Management and Accounting"=>2, "Social Sciences"=>10, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>5}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Social Sciences"=>{"Social Sciences"=>10}, "Sports and Recreations"=>{"Sports and Recreations"=>10}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>8}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Unspecified"=>{"Unspecified"=>12}, "Environmental Science"=>{"Environmental Science"=>4}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"Brazil"=>1, "United Kingdom"=>1, "Spain"=>1}, "group_count"=>7}

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  • {"files"=>["https://ndownloader.figshare.com/files/2007609", "https://ndownloader.figshare.com/files/2007610"], "description"=>"<div><p>Introduction</p><p>Modern, urban lifestyles have engineered physical activity out of everyday life and this presents a major threat to human health. The Netherlands is a world leader in active travel, particularly cycling, but little research has sought to quantify the cumulative amount of physical activity through everyday walking and cycling.</p><p>Methods</p><p>Using data collected as part of the Dutch National Travel Survey (2010 – 2012), this paper determines the degree to which Dutch walking and cycling contributes to meeting minimum level of physical activity of 150 minutes of moderate intensity aerobic activity throughout the week. The sample includes 74,465 individuals who recorded at least some travel on the day surveyed. As physical activity benefits are cumulative, all walking and cycling trips are analysed, including those to and from public transport. These trips are then converted into an established measure of physical activity intensity, known as metabolic equivalents of tasks. Multivariate Tobit regression models were performed on a range of socio-demographic, transport resources, urban form and meteorological characteristics.</p><p>Results</p><p>The results reveal that Dutch men and women participate in 24 and 28 minutes of daily physical activity through walking and cycling, which is 41% and 55% more than the minimum recommended level. It should be noted however that some 57% of the entire sample failed to record any walking or cycling, and an investigation of this particular group serves as an important topic of future research. Active transport was positively related with age, income, bicycle ownership, urban density and air temperature. Car ownership had a strong negative relationship with physically active travel.</p><p>Conclusion</p><p>The results of this analysis demonstrate the significance of active transport to counter the emerging issue of sedentary lifestyle disease. The Dutch experience provides other countries with a highly relevant case study in the creation of environments and cultures that support healthy, active living.</p></div>", "links"=>[], "tags"=>["case study", "Active transport", "transport resources", "activity intensity", "cycling trips", "Dutch men", "cycling.MethodsUsing data", "world leader", "car ownership", "28 minutes", "Physical Activity Requirements IntroductionModern", "Dutch experience", "150 minutes", "travel.ConclusionThe results", "activity benefits", "Multivariate Tobit regression models", "future research", "air temperature", "lifestyle disease", "characteristics.ResultsThe results", "bicycle ownership"], "article_id"=>1369468, "categories"=>["Biological Sciences", "Science Policy", "Ecology"], "users"=>["Elliot Fishman", "Lars Böcker", "Marco Helbich"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0121871.s001", "https://dx.doi.org/10.1371/journal.pone.0121871.s002"], "stats"=>{"downloads"=>3, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Adult_Active_Transport_in_the_Netherlands_An_Analysis_of_Its_Contribution_to_Physical_Activity_Requirements_/1369468", "title"=>"Adult Active Transport in the Netherlands: An Analysis of Its Contribution to Physical Activity Requirements", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-04-07 03:41:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2007605"], "description"=>"<p>NB: Dashed line represents the minimum recommended level of PA.</p>", "links"=>[], "tags"=>["case study", "Active transport", "transport resources", "activity intensity", "cycling trips", "Dutch men", "cycling.MethodsUsing data", "world leader", "car ownership", "28 minutes", "Physical Activity Requirements IntroductionModern", "Dutch experience", "150 minutes", "travel.ConclusionThe results", "activity benefits", "Multivariate Tobit regression models", "future research", "air temperature", "lifestyle disease", "characteristics.ResultsThe results", "bicycle ownership"], "article_id"=>1369465, "categories"=>["Biological Sciences", "Science Policy", "Ecology"], "users"=>["Elliot Fishman", "Lars Böcker", "Marco Helbich"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0121871.g001", "stats"=>{"downloads"=>1, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_MET_hours_gained_from_daily_active_transport_for_different_population_categories_and_spatial_contexts_/1369465", "title"=>"MET-hours gained from daily active transport for different population categories and spatial contexts.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-07 03:41:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2007607"], "description"=>"<p>Data description and descriptive statistics.</p>", "links"=>[], "tags"=>["case study", "Active transport", "transport resources", "activity intensity", "cycling trips", "Dutch men", "cycling.MethodsUsing data", "world leader", "car ownership", "28 minutes", "Physical Activity Requirements IntroductionModern", "Dutch experience", "150 minutes", "travel.ConclusionThe results", "activity benefits", "Multivariate Tobit regression models", "future research", "air temperature", "lifestyle disease", "characteristics.ResultsThe results", "bicycle ownership"], "article_id"=>1369466, "categories"=>["Biological Sciences", "Science Policy", "Ecology"], "users"=>["Elliot Fishman", "Lars Böcker", "Marco Helbich"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0121871.t001", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Data_description_and_descriptive_statistics_/1369466", "title"=>"Data description and descriptive statistics.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-04-07 03:41:39"}

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Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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