» Articles » PMID: 24618001

The Contribution of Walking to Work to Adult Physical Activity Levels: a Cross Sectional Study

Overview
Publisher Biomed Central
Date 2014 Mar 13
PMID 24618001
Citations 42
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: To objectively examine the contribution to adult physical activity levels of walking to work.

Methods: Employees (n = 103; 36.3 ± 11.7 years) at 17 workplaces in south-west England, who lived within 2 miles (3.2 km) of their workplace, wore Actigraph accelerometers for seven days during waking hours and carried GPS receivers during the commute to and from work. Physical activity volume (accelerometer counts per minute (cpm)) and intensity (minutes of moderate to vigorous physical activity (MVPA)) were computed overall and during the walk to work.

Results: Total weekday physical activity was 45% higher in participants who walked to work compared to those travelling by car (524.6. ± 170.4 vs 364.6 ± 138.4 cpm) and MVPA almost 60% higher (78.1 ± 24.9 vs 49.8 ± 25.2 minutes per day). No differences were seen in weekend physical activity, and sedentary time did not differ between the groups. Combined accelerometer and GPS data showed that walking to work contributed 47.3% of total weekday MVPA.

Conclusions: Walking to work was associated with overall higher levels of physical activity in young and middle-aged adults. These data provide preliminary evidence to underpin the need for interventions to increase active commuting, specifically walking, in adults.

Citing Articles

Health benefits of pedestrian and cyclist commuting: evidence from the Scottish Longitudinal Study.

Friel C, Walsh D, Whyte B, Dibben C, Feng Z, Baker G BMJ Public Health. 2025; 2(1):e001295.

PMID: 40018109 PMC: 11812918. DOI: 10.1136/bmjph-2024-001295.


Association of active commuting with incidence of depression and anxiety: prospective cohort study.

Fan J, Zhang X, Jia X, Fan Z, Yang C, Wang Y Transl Psychiatry. 2025; 15(1):39.

PMID: 39893172 PMC: 11787296. DOI: 10.1038/s41398-024-03219-w.


Impact of changes in commuting mode on body weight among Japanese workers: a longitudinal study.

Fukunishi A, Machida M, Kikuchi H, Nakanishi Y, Inoue S J Occup Health. 2024; 66(1).

PMID: 38782720 PMC: 11285781. DOI: 10.1093/joccuh/uiae027.


Questionnaire-based scoring system for screening moderate-to-vigorous physical activity in middle-aged Japanese workers.

Adachi T, Ashikawa H, Funaki K, Kondo T, Yamada S J Occup Health. 2024; 66(1).

PMID: 38258942 PMC: 11254300. DOI: 10.1093/joccuh/uiad011.


The Discriminant Power of Specific Physical Activity and Dietary Behaviors to Distinguish between Lean, Normal and Excessive Fat Groups in Late Adolescents.

Domaradzki J Nutrients. 2023; 15(5).

PMID: 36904229 PMC: 10005529. DOI: 10.3390/nu15051230.


References
1.
Sahlqvist S, Song Y, Ogilvie D . Is active travel associated with greater physical activity? The contribution of commuting and non-commuting active travel to total physical activity in adults. Prev Med. 2012; 55(3):206-11. PMC: 3824070. DOI: 10.1016/j.ypmed.2012.06.028. View

2.
Ainsworth B, Haskell W, Whitt M, Irwin M, Swartz A, Strath S . Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000; 32(9 Suppl):S498-504. DOI: 10.1097/00005768-200009001-00009. View

3.
Faulkner G, Buliung R, Flora P, Fusco C . Active school transport, physical activity levels and body weight of children and youth: a systematic review. Prev Med. 2008; 48(1):3-8. DOI: 10.1016/j.ypmed.2008.10.017. View

4.
Hamer M, Chida Y . Active commuting and cardiovascular risk: a meta-analytic review. Prev Med. 2007; 46(1):9-13. DOI: 10.1016/j.ypmed.2007.03.006. View

5.
Bassett Jr D, Pucher J, Buehler R, Thompson D, Crouter S . Walking, cycling, and obesity rates in Europe, North America, and Australia. J Phys Act Health. 2009; 5(6):795-814. DOI: 10.1123/jpah.5.6.795. View