Evidence map›Paper›PMID 27672561›Full record

ArticleJournal of transport & health2016

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

Barbara B Brown, Douglas Tharp, Calvin P Tribby, Ken R Smith, Harvey J Miller, Carol M Werner

Abstract read
In one paragraph

Article in Journal of transport & health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Revealed Preference Methods for Studying Bicycle Route Choice-A Systematic Review.International journal of environmental research and public health · 2018
    Pooled it
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Barbara B BrownDepartment of Family and Consumer Studies; Cancer Control and Population Sciences, Huntsman Cancer Institute, 225 S 1400 E RM 228, University of Utah, Salt Lake City, UT, USA.
Douglas TharpDepartment of Family & Consumer Studies, 225 S 1400 E RM 228, University of Utah, Salt Lake City, UT, USA.
Calvin P TribbyDepartment of Geography; Ohio State University, 1036 Derby Hall, 154 N. Oval Mall, The Ohio State University, Columbus, OH, USA.
Ken R SmithDepartment of Family and Consumer Studies; Cancer Control and Population Sciences, Huntsman Cancer Institute, 225 S 1400 E RM 228, University of Utah, Salt Lake City, UT, USA.
Harvey J MillerDepartment of Geography; Ohio State University, 1036 Derby Hall, 154 N. Oval Mall, The Ohio State University, Columbus, OH, USA.
Carol M WernerDepartment of Psychology, 380 S. 1530 E., RM 502 BSB, University of Utah, Salt Lake City, UT, USA.

Funding

Complete the Streets 3 Ways: Effects on activity and BMIR01CA157509 · NCI · UNIVERSITY OF UTAH · PI BROWN, BARBARA BESS · 2011 to 2015
$2.8M
NCI NIH HHS R01 CA157509
6 · The paper itself

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.

Indexed as

bike lanebody mass indexcyclingenergy expenditurekilocalorie

Identifiers

PMID27672561
PMCPMC5034937

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.