Walking to Work: The Role of Walkability Around the Workplace in a Dutch Adult Commuting Population

Overview

Journal SSM Popul Health

Date 2024 Jan 4

PMID 38173691

Authors

Tea Osmenaj

Thao Minh Lam

Alfred J Wagtendonk

Nicolette R den Braver

Affiliations

Soon will be listed here.

Abstract

Current evidence on neighborhood walkability and active commuting focuses on residential rather than workplace environment. This cross-sectional study investigated whether higher workplace walkability (WW) was associated with commute walking, both independently and together with residential walkability, using data from 6769 respondents of the 2017 Dutch national travel survey. In a fully adjusted logistic regression model, 10% increase in WW was associated with 32% higher odds of commute walking (Odds ratio (OR): 1.31, 95% Confidence Interval (CI: 1.27-1.36). The estimates were stronger in rural dwellers than urban residents, (OR 1.49, 95%CI: 1.34-1.64 vs OR. 1.19, 95%CI: 1.13-1.26). In participants with both high residential walkability and WW, we observed 215% higher odds (OR 3.15, 95% CI: 2.48-3.99) of commute walking compared to those with low walkability in both. Our study indicated the importance and complementary nature of walkable residence and workplace in contribution to physical activity of working individuals through active commuting.

Citing Articles

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References

Sallis J, Cerin E, Conway T, Adams M, Frank L, Pratt M . Physical activity in relation to urban environments in 14 cities worldwide: a cross-sectional study. Lancet. 2016; 387(10034):2207-17. PMC: 10833440. DOI: 10.1016/S0140-6736(15)01284-2. View

Rose G . Sick individuals and sick populations. Int J Epidemiol. 2001; 30(3):427-32; discussion 433-4. DOI: 10.1093/ije/30.3.427. View

Hurvitz P, Vernez Moudon A . Home versus nonhome neighborhood: quantifying differences in exposure to the built environment. Am J Prev Med. 2012; 42(4):411-7. PMC: 3318915. DOI: 10.1016/j.amepre.2011.11.015. View

Carlson J, Frank L, Ulmer J, Conway T, Saelens B, Cain K . Work and Home Neighborhood Design and Physical Activity. Am J Health Promot. 2018; 32(8):1723-1729. DOI: 10.1177/0890117118768767. View

Booth S, Sallis J, Ritenbaugh C, Hill J, Birch L, Frank L . Environmental and societal factors affect food choice and physical activity: rationale, influences, and leverage points. Nutr Rev. 2001; 59(3 Pt 2):S21-39; discussion S57-65. DOI: 10.1111/j.1753-4887.2001.tb06983.x. View

Brownson R, Boehmer T, Luke D . Declining rates of physical activity in the United States: what are the contributors?. Annu Rev Public Health. 2005; 26:421-43. DOI: 10.1146/annurev.publhealth.26.021304.144437. View

Lam T, Vaartjes I, Grobbee D, Karssenberg D, Lakerveld J . Associations between the built environment and obesity: an umbrella review. Int J Health Geogr. 2021; 20(1):7. PMC: 7852132. DOI: 10.1186/s12942-021-00260-6. View

Panahi S, Tremblay A . Sedentariness and Health: Is Sedentary Behavior More Than Just Physical Inactivity?. Front Public Health. 2018; 6:258. PMC: 6139309. DOI: 10.3389/fpubh.2018.00258. View

van der Ploeg H, Bull F . Invest in physical activity to protect and promote health: the 2020 WHO guidelines on physical activity and sedentary behaviour. Int J Behav Nutr Phys Act. 2020; 17(1):145. PMC: 7688396. DOI: 10.1186/s12966-020-01051-1. View

10.

Timmermans E, Lakerveld J, Beulens J, Boomsma D, Kramer S, Oosterman M . Cohort profile: the Geoscience and Health Cohort Consortium (GECCO) in the Netherlands. BMJ Open. 2018; 8(6):e021597. PMC: 6009540. DOI: 10.1136/bmjopen-2018-021597. View

11.

Lin C, Koohsari M, Liao Y, Ishii K, Shibata A, Nakaya T . Workplace neighbourhood built-environment attributes and sitting at work and for transport among Japanese desk-based workers. Sci Rep. 2022; 12(1):195. PMC: 8741887. DOI: 10.1038/s41598-021-03071-8. View

12.

Knuth A, Hallal P . Temporal trends in physical activity: a systematic review. J Phys Act Health. 2009; 6(5):548-59. DOI: 10.1123/jpah.6.5.548. View

13.

den Braver N, Lakerveld J, Rutters F, Schoonmade L, Brug J, Beulens J . Built environmental characteristics and diabetes: a systematic review and meta-analysis. BMC Med. 2018; 16(1):12. PMC: 5791730. DOI: 10.1186/s12916-017-0997-z. View

14.

Matthews C, Jurj A, Shu X, Li H, Yang G, Li Q . Influence of exercise, walking, cycling, and overall nonexercise physical activity on mortality in Chinese women. Am J Epidemiol. 2007; 165(12):1343-50. DOI: 10.1093/aje/kwm088. View

15.

Yang L, Hipp J, Adlakha D, Marx C, Tabak R, Brownson R . Choice of commuting mode among employees: Do home neighborhood environment, worksite neighborhood environment, and worksite policy and supports matter?. J Transp Health. 2015; 2(2):212-218. PMC: 4465081. DOI: 10.1016/j.jth.2015.02.003. View

16.

Flint E, Webb E, Cummins S . Change in commute mode and body-mass index: prospective, longitudinal evidence from UK Biobank. Lancet Public Health. 2017; 1(2):e46-e55. PMC: 5341146. DOI: 10.1016/S2468-2667(16)30006-8. View

17.

Henriques-Neto D, Peralta M, Garradas S, Pelegrini A, Pinto A, Sanchez-Miguel P . Active Commuting and Physical Fitness: A Systematic Review. Int J Environ Res Public Health. 2020; 17(8). PMC: 7215703. DOI: 10.3390/ijerph17082721. View

18.

Dinu M, Pagliai G, Macchi C, Sofi F . Active Commuting and Multiple Health Outcomes: A Systematic Review and Meta-Analysis. Sports Med. 2018; 49(3):437-452. DOI: 10.1007/s40279-018-1023-0. View

19.

Lakerveld J, Wagtendonk A, Vaartjes I, Karssenberg D . Deep phenotyping meets big data: the Geoscience and hEalth Cohort COnsortium (GECCO) data to enable exposome studies in The Netherlands. Int J Health Geogr. 2020; 19(1):49. PMC: 7662022. DOI: 10.1186/s12942-020-00235-z. View

20.

Barengo N, Hu G, Lakka T, Pekkarinen H, Nissinen A, Tuomilehto J . Low physical activity as a predictor for total and cardiovascular disease mortality in middle-aged men and women in Finland. Eur Heart J. 2004; 25(24):2204-11. DOI: 10.1016/j.ehj.2004.10.009. View