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description Publicationkeyboard_double_arrow_right Article , Journal 2020 FrancePublisher:Springer Science and Business Media LLC Funded by:EC | SPOTLIGHTEC| SPOTLIGHTJohannes Brug; Jos W. R. Twisk; Joline W.J. Beulens; Joline W.J. Beulens; Julia G. Kok; Jean-Michel Oppert; Joreintje D. Mackenbach; Sofie Compernolle; Nicolette R. den Braver; Harry Rutter; Jeroen Lakerveld; Jeroen Lakerveld;Abstract Background Car driving is a form of passive transportation associated with higher sedentary behaviour, which is associated with morbidity. The decision to drive a car is likely to be influenced by the ‘drivability’ of the built environment, but there is lack of scientific evidence regarding the relative contribution of environmental characteristics of car driving in Europe, compared to individual characteristics. This study aimed to determine which neighbourhood- and individual-level characteristics were associated with car driving in adults of five urban areas across Europe. Second, the study aimed to determine the percentage of variance in car driving explained by individual- and neighbourhood-level characteristics. Methods Neighbourhood environment characteristics potentially related to car use were identified from the literature. These characteristics were subsequently assessed using a Google Street View audit and available GIS databases, in 59 administrative residential neighbourhoods in five European urban areas. Car driving (min/week) and individual level characteristics were self-reported by study participants (analytic sample n = 4258). We used linear multilevel regression analyses to assess cross-sectional associations of individual and neighbourhood-level characteristics with weekly minutes of car driving, and assessed explained variance at each level and for the total model. Results Higher residential density (β:-2.61, 95%CI: − 4.99; -0.22) and higher land-use mix (β:-3.73, 95%CI: − 5.61; -1.86) were significantly associated with fewer weekly minutes of car driving. At the individual level, higher age (β: 1.47, 95%CI: 0.60; 2.33), male sex (β: 43.2, 95%CI:24.7; 61.7), being employed (β:80.1, 95%CI: 53.6; 106.5) and ≥ 3 person household composition (β: 47.4, 95%CI: 20.6; 74.2) were associated with higher weekly minutes of car driving. Individual and neighbourhood characteristics contributed about equally to explained variance in minutes of weekly car driving, with 2 and 3% respectively, but total explained variance remained low. Conclusions Residential density and land-use mix were neighbourhood characteristics consistently associated with minutes of weekly car driving, besides age, sex, employment and household composition. Although total explained variance was low, both individual- and neighbourhood-level characteristics were similarly important in their associations with car use in five European urban areas. This study suggests that more, higher quality, and longitudinal data are needed to increase our understanding of car use and its effects on determinants of health.
Hyper Article en Lig... arrow_drop_down Hyper Article en LigneArticle . 2020License: CC BYFull-Text: https://hal.inrae.fr/hal-02916364/documentData sources: Hyper Article en LigneUniversité Paris 13: HALArticle . 2020Full-Text: https://hal.inrae.fr/hal-02916364Data sources: Bielefeld Academic Search Engine (BASE)International Journal of Behavioral Nutrition and Physical ActivityArticle . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefInternational Journal of Behavioral Nutrition and Physical ActivityArticleLicense: CC BYData sources: UnpayWallInternational Journal of Behavioral Nutrition and Physical ActivityArticle . 2020Data sources: Europe PubMed CentralDANS (Data Archiving and Networked Services)Article . 2020Data sources: DANS (Data Archiving and Networked Services)International Journal of Behavioral Nutrition and Physical ActivityArticle . 2020Data sources: DANS (Data Archiving and Networked Services)International Journal of Behavioral Nutrition and Physical ActivityArticle . 2020Data sources: DOAJadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1186/s12966-019-0906-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 22visibility views 22 download downloads 61 Powered bymore_vert Hyper Article en Lig... arrow_drop_down Hyper Article en LigneArticle . 2020License: CC BYFull-Text: https://hal.inrae.fr/hal-02916364/documentData sources: Hyper Article en LigneUniversité Paris 13: HALArticle . 2020Full-Text: https://hal.inrae.fr/hal-02916364Data sources: Bielefeld Academic Search Engine (BASE)International Journal of Behavioral Nutrition and Physical ActivityArticle . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefInternational Journal of Behavioral Nutrition and Physical ActivityArticleLicense: CC BYData sources: UnpayWallInternational Journal of Behavioral Nutrition and Physical ActivityArticle . 2020Data sources: Europe PubMed CentralDANS (Data Archiving and Networked Services)Article . 2020Data sources: DANS (Data Archiving and Networked Services)International Journal of Behavioral Nutrition and Physical ActivityArticle . 2020Data sources: DANS (Data Archiving and Networked Services)International Journal of Behavioral Nutrition and Physical ActivityArticle . 2020Data sources: DOAJadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1186/s12966-019-0906-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
description Publicationkeyboard_double_arrow_right Article , Journal 2020 FrancePublisher:Springer Science and Business Media LLC Funded by:EC | SPOTLIGHTEC| SPOTLIGHTJohannes Brug; Jos W. R. Twisk; Joline W.J. Beulens; Joline W.J. Beulens; Julia G. Kok; Jean-Michel Oppert; Joreintje D. Mackenbach; Sofie Compernolle; Nicolette R. den Braver; Harry Rutter; Jeroen Lakerveld; Jeroen Lakerveld;Abstract Background Car driving is a form of passive transportation associated with higher sedentary behaviour, which is associated with morbidity. The decision to drive a car is likely to be influenced by the ‘drivability’ of the built environment, but there is lack of scientific evidence regarding the relative contribution of environmental characteristics of car driving in Europe, compared to individual characteristics. This study aimed to determine which neighbourhood- and individual-level characteristics were associated with car driving in adults of five urban areas across Europe. Second, the study aimed to determine the percentage of variance in car driving explained by individual- and neighbourhood-level characteristics. Methods Neighbourhood environment characteristics potentially related to car use were identified from the literature. These characteristics were subsequently assessed using a Google Street View audit and available GIS databases, in 59 administrative residential neighbourhoods in five European urban areas. Car driving (min/week) and individual level characteristics were self-reported by study participants (analytic sample n = 4258). We used linear multilevel regression analyses to assess cross-sectional associations of individual and neighbourhood-level characteristics with weekly minutes of car driving, and assessed explained variance at each level and for the total model. Results Higher residential density (β:-2.61, 95%CI: − 4.99; -0.22) and higher land-use mix (β:-3.73, 95%CI: − 5.61; -1.86) were significantly associated with fewer weekly minutes of car driving. At the individual level, higher age (β: 1.47, 95%CI: 0.60; 2.33), male sex (β: 43.2, 95%CI:24.7; 61.7), being employed (β:80.1, 95%CI: 53.6; 106.5) and ≥ 3 person household composition (β: 47.4, 95%CI: 20.6; 74.2) were associated with higher weekly minutes of car driving. Individual and neighbourhood characteristics contributed about equally to explained variance in minutes of weekly car driving, with 2 and 3% respectively, but total explained variance remained low. Conclusions Residential density and land-use mix were neighbourhood characteristics consistently associated with minutes of weekly car driving, besides age, sex, employment and household composition. Although total explained variance was low, both individual- and neighbourhood-level characteristics were similarly important in their associations with car use in five European urban areas. This study suggests that more, higher quality, and longitudinal data are needed to increase our understanding of car use and its effects on determinants of health.
Hyper Article en Lig... arrow_drop_down Hyper Article en LigneArticle . 2020License: CC BYFull-Text: https://hal.inrae.fr/hal-02916364/documentData sources: Hyper Article en LigneUniversité Paris 13: HALArticle . 2020Full-Text: https://hal.inrae.fr/hal-02916364Data sources: Bielefeld Academic Search Engine (BASE)International Journal of Behavioral Nutrition and Physical ActivityArticle . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefInternational Journal of Behavioral Nutrition and Physical ActivityArticleLicense: CC BYData sources: UnpayWallInternational Journal of Behavioral Nutrition and Physical ActivityArticle . 2020Data sources: Europe PubMed CentralDANS (Data Archiving and Networked Services)Article . 2020Data sources: DANS (Data Archiving and Networked Services)International Journal of Behavioral Nutrition and Physical ActivityArticle . 2020Data sources: DANS (Data Archiving and Networked Services)International Journal of Behavioral Nutrition and Physical ActivityArticle . 2020Data sources: DOAJadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1186/s12966-019-0906-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 22visibility views 22 download downloads 61 Powered bymore_vert Hyper Article en Lig... arrow_drop_down Hyper Article en LigneArticle . 2020License: CC BYFull-Text: https://hal.inrae.fr/hal-02916364/documentData sources: Hyper Article en LigneUniversité Paris 13: HALArticle . 2020Full-Text: https://hal.inrae.fr/hal-02916364Data sources: Bielefeld Academic Search Engine (BASE)International Journal of Behavioral Nutrition and Physical ActivityArticle . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefInternational Journal of Behavioral Nutrition and Physical ActivityArticleLicense: CC BYData sources: UnpayWallInternational Journal of Behavioral Nutrition and Physical ActivityArticle . 2020Data sources: Europe PubMed CentralDANS (Data Archiving and Networked Services)Article . 2020Data sources: DANS (Data Archiving and Networked Services)International Journal of Behavioral Nutrition and Physical ActivityArticle . 2020Data sources: DANS (Data Archiving and Networked Services)International Journal of Behavioral Nutrition and Physical ActivityArticle . 2020Data sources: DOAJadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1186/s12966-019-0906-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu