Literature DB >> 27672561

Changes in bicycling over time associated with a new bike lane: relations with kilocalories energy expenditure and body mass index.

Barbara B Brown1, Douglas Tharp2, Calvin P Tribby3, Ken R Smith1, Harvey J Miller3, Carol M Werner4.   

Abstract

Although bicycling has been related to positive health indicators, few studies examine health-related measures associated with non-competitive community cycling before and after cycling infrastructure improvements. This study examined cycling changes in a neighborhood receiving a bike lane, light rail, and other "complete street" improvements. Participants wore accelerometers and global positioning system (GPS) data loggers for one week in both 2012 and 2013, pre- and post- construction completion. Participants sampled within 2 km of the complete street improvements had the following patterns of cycling: never cyclists (n=434), continuing cyclists (n= 29), former cyclists (n=33, who bicycled in 2012 but not 2013), and new cyclists (n=40, who bicycled in 2013 but not 2012). Results show that all three cycling groups, as identified by GPS/accelerometry data, expended more estimated kilocalories (kcal) of energy per minute during the monitoring week than those who were never detected cycling, net of control variables. Similar but attenuated results emerged when cycling self-report measures were used. BMI was not related to cycling group but those who cycled longer on the new path had lower BMI. Although cyclists burn more calories than non-cyclists across the week, among cyclists, their cycling days involved more calories expended than their non-cycling days. The new cyclists account for 39% of the cyclists identified in this study and former cyclists account for 32% of cyclists. These results suggest that cycling is healthy, but that sustaining rates of cycling will be an important goal for future policy and research.

Entities:  

Keywords:  bike lane; body mass index; cycling; energy expenditure; kilocalorie

Year:  2016        PMID: 27672561      PMCID: PMC5034937          DOI: 10.1016/j.jth.2016.04.001

Source DB:  PubMed          Journal:  J Transp Health        ISSN: 2214-1405


  43 in total

1.  Walk, Bicycle, and Transit Trips of Transit-Dependent and Choice Riders in the 2009 United States National Household Travel Survey.

Authors:  Ugo Lachapelle
Journal:  J Phys Act Health       Date:  2014-10-27

2.  Energy expenditure of constant- and variable-intensity cycling: power meter estimates.

Authors:  Eric C Haakonssen; David T Martin; Louise M Burke; David G Jenkins
Journal:  Med Sci Sports Exerc       Date:  2013-09       Impact factor: 5.411

3.  A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations.

Authors:  Kate Lyden; Sarah L Kozey; John W Staudenmeyer; Patty S Freedson
Journal:  Eur J Appl Physiol       Date:  2010-09-15       Impact factor: 3.078

4.  Evaluating change in physical activity with the building of a multi-use trail.

Authors:  Kelly R Evenson; Amy H Herring; Sara L Huston
Journal:  Am J Prev Med       Date:  2005-02       Impact factor: 5.043

5.  Influence of exercise, walking, cycling, and overall nonexercise physical activity on mortality in Chinese women.

Authors:  Charles E Matthews; Adriana L Jurj; Xiao-Ou Shu; Hong-Lan Li; Gong Yang; Qi Li; Yu-Tang Gao; Wei Zheng
Journal:  Am J Epidemiol       Date:  2007-05-02       Impact factor: 4.897

6.  Physical activity in the United States measured by accelerometer.

Authors:  Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell
Journal:  Med Sci Sports Exerc       Date:  2008-01       Impact factor: 5.411

7.  Who uses new walking and cycling infrastructure and how? Longitudinal results from the UK iConnect study.

Authors:  Anna Goodman; Shannon Sahlqvist; David Ogilvie
Journal:  Prev Med       Date:  2013-07-13       Impact factor: 4.018

Review 8.  Systematic review and meta-analysis of reduction in all-cause mortality from walking and cycling and shape of dose response relationship.

Authors:  Paul Kelly; Sonja Kahlmeier; Thomas Götschi; Nicola Orsini; Justin Richards; Nia Roberts; Peter Scarborough; Charlie Foster
Journal:  Int J Behav Nutr Phys Act       Date:  2014-10-24       Impact factor: 6.457

9.  Cyclist route choice, traffic-related air pollution, and lung function: a scripted exposure study.

Authors:  Sarah Jarjour; Michael Jerrett; Dane Westerdahl; Audrey de Nazelle; Cooper Hanning; Laura Daly; Jonah Lipsitt; John Balmes
Journal:  Environ Health       Date:  2013-02-07       Impact factor: 5.984

10.  Use of and short-term impacts of new cycling infrastructure in inner-Sydney, Australia: a quasi-experimental design.

Authors:  Chris Rissel; Stephen Greaves; Li Ming Wen; Melanie Crane; Chris Standen
Journal:  Int J Behav Nutr Phys Act       Date:  2015-10-06       Impact factor: 6.457

View more
  4 in total

1.  Can walking habits be encouraged through area-based regeneration and relocation? A longitudinal study of deprived communities in Glasgow, UK.

Authors: 
Journal:  J Transp Health       Date:  2018-06-30

Review 2.  Revealed Preference Methods for Studying Bicycle Route Choice-A Systematic Review.

Authors:  Ray Pritchard
Journal:  Int J Environ Res Public Health       Date:  2018-03-07       Impact factor: 3.390

Review 3.  Objectively measuring the association between the built environment and physical activity: a systematic review and reporting framework.

Authors:  Francesca L Pontin; Victoria L Jenneson; Michelle A Morris; Graham P Clarke; Nik M Lomax
Journal:  Int J Behav Nutr Phys Act       Date:  2022-09-14       Impact factor: 8.915

4.  A systematic review of the effect of infrastructural interventions to promote cycling: strengthening causal inference from observational data.

Authors:  Famke J M Mölenberg; Jenna Panter; Alex Burdorf; Frank J van Lenthe
Journal:  Int J Behav Nutr Phys Act       Date:  2019-10-26       Impact factor: 6.457

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.