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Quantifying the physical activity energy expenditure of commuters using a combination of global positioning system and combined heart rate and movement sensors.


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Authors

Nobre Da Costa, Silvia  ORCID logo  https://orcid.org/0000-0002-7774-6711
Dalton, Alice 
Brage, Søren 

Abstract

BACKGROUND: Active commuting may help to increase adults' physical activity levels. However, estimates of its energy cost are derived from a small number of studies which are laboratory-based or use self-reported measures. METHODS: Adults working in Cambridge (UK) recruited through a predominantly workplace-based strategy wore combined heart rate and movement sensors and global positioning system (GPS) devices for one week, and completed synchronous day-by-day travel diaries in 2010 and 2011. Commuting journeys were delineated using GPS data, and metabolic intensity (standard metabolic equivalents; MET) was derived and compared between journey types using mixed-effects linear regression. RESULTS: 182 commuting journeys were included in the analysis. Median intensity was 1.28 MET for car journeys; 1.67 MET for bus journeys; 4.61 MET for walking journeys; 6.44 MET for cycling journeys; 1.78 MET for journeys made by car in combination with walking; and 2.21 MET for journeys made by car in combination with cycling. The value for journeys made solely by car was significantly lower than those for all other journey types (p<0.04). On average, 20% of the duration of journeys incorporating any active travel (equating to 8 min) was spent in moderate-to-vigorous physical activity (MVPA). CONCLUSIONS: We have demonstrated how GPS and activity data from a free-living sample can be used simultaneously to provide objective estimates of commuting energy expenditure. On average, incorporating walking or cycling into longer journeys provided over half the weekly recommended activity levels from the commute alone. This may be an efficient way of achieving physical activity guidelines and improving population health.

Description

Keywords

Active commuting, Cycling, Exercise, GPS, Geographical Information Systems, Transportation, Walking, Accelerometry, Adult, Energy Metabolism, Exercise, Female, Geographic Information Systems, Heart Rate, Humans, Male, Self Report, Surveys and Questionnaires, Transportation, Workplace

Journal Title

Prev Med

Conference Name

Journal ISSN

0091-7435
1096-0260

Volume Title

81

Publisher

Elsevier BV
Sponsorship
Medical Research Council (MR/K023187/1)
Medical Research Council (MC_UU_12015/6)
Medical Research Council (MC_UU_12015/3)
TCC (None)
Economic and Social Research Council (ES/G007462/1)
Wellcome Trust (087636/Z/08/Z)
NETSCC (None)
Medical Research Council (MC_U106179473)
NIHR Evaluation Trials and Studies Coordinating Centre (09/3001/06)
JP is supported by an NIHR post-doctoral fellowship [2012-05-157] and SC, DO and SB are supported by the Medical Research Council [Unit Programme numbers MC_UU12015/6 and MC_UU_12015/3]. The Commuting and Health in Cambridge study was developed by David Ogilvie, Simon Griffin, Andy Jones and Roger Mackett and initially funded under the auspices of the Centre for Diet and Activity Research (CEDAR), a UKCRC Public Health Research Centre of Excellence. Funding from the British Heart Foundation, Economic and Social Research Council, Medical Research Council, National Institute for Health Research and the Wellcome Trust, under the auspices of the UK Clinical Research Collaboration, is gratefully acknowledged. The study is now funded by the National Institute for Health Research Public Health Research programme (project number 09/3001/06).