Trading-Off Transit and Non-Transit Physical Activity Among Older People: Evidence from Longitudinal Accelerometer Data of a Natural Experiment Study

Overview

Journal J Urban Health

Publisher Springer

Specialty General Medicine

Date 2023 Jan 19

PMID 36656439

Authors

Eun Yeong Choe

Dongsheng He

Guibo Sun

Affiliations

Soon will be listed here.

Abstract

This study used a natural experiment of a new metro line in Hong Kong to examine trade-offs between transit-related and non-transit-related physical activity (PA) among 104 older people (aged ≥ 65 years) based on longitudinal accelerometer data that distinguished transit-related and non-transit-related PA. Difference-in-difference (DID) analysis compared PA changes between treatment and control groups. We found that new metro stations have trade-off effects between transit and non-transit PA. After opening metro stations, transit-related PA increased by 12 min per day on average, but non-transit-related PA decreased by 18 min per day. In addition, the proportion of time spent in transit-related PA increased by 6%. The results suggested that new metro stations could generate transit-related PA, but it might shift from non-transit-related PA among older people. Our findings revealed trade-off effects of public transit interventions and have significant implications for transport and healthy ageing studies.

Citing Articles

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References

Aadland E, Ylvisaker E . Reliability of the Actigraph GT3X+ Accelerometer in Adults under Free-Living Conditions. PLoS One. 2015; 10(8):e0134606. PMC: 4537282. DOI: 10.1371/journal.pone.0134606. View

Xiao C, Goryakin Y, Cecchini M . Physical Activity Levels and New Public Transit: A Systematic Review and Meta-analysis. Am J Prev Med. 2019; 56(3):464-473. DOI: 10.1016/j.amepre.2018.10.022. View

Saelens B, Vernez Moudon A, Kang B, Hurvitz P, Zhou C . Relation between higher physical activity and public transit use. Am J Public Health. 2014; 104(5):854-9. PMC: 3987609. DOI: 10.2105/AJPH.2013.301696. View

Sun G, Webster C, Ni M, Zhang X . Measuring high-density built environment for public health research: Uncertainty with respect to data, indicator design and spatial scale. Geospat Health. 2018; 13(1):653. DOI: 10.4081/gh.2018.653. View

Wing C, Simon K, Bello-Gomez R . Designing Difference in Difference Studies: Best Practices for Public Health Policy Research. Annu Rev Public Health. 2018; 39:453-469. DOI: 10.1146/annurev-publhealth-040617-013507. View

Sun G, Du Y, Ni M, Zhao J, Webster C . Metro and elderly health in Hong Kong: protocol for a natural experiment study in a high-density city. BMJ Open. 2021; 11(3):e043983. PMC: 7978095. DOI: 10.1136/bmjopen-2020-043983. View

Hirsch J, DeVries D, Brauer M, Frank L, Winters M . Impact of new rapid transit on physical activity: A meta-analysis. Prev Med Rep. 2018; 10:184-190. PMC: 5984234. DOI: 10.1016/j.pmedr.2018.03.008. View

Christian T . Trade-offs between commuting time and health-related activities. J Urban Health. 2012; 89(5):746-57. PMC: 3462828. DOI: 10.1007/s11524-012-9678-6. View

Gomersall S, Rowlands A, English C, Maher C, Olds T . The ActivityStat hypothesis: the concept, the evidence and the methodologies. Sports Med. 2013; 43(2):135-49. DOI: 10.1007/s40279-012-0008-7. View

10.

Craig P, Cooper C, Gunnell D, Haw S, Lawson K, Macintyre S . Using natural experiments to evaluate population health interventions: new Medical Research Council guidance. J Epidemiol Community Health. 2012; 66(12):1182-6. PMC: 3796763. DOI: 10.1136/jech-2011-200375. View

11.

Craig P, Katikireddi S, Leyland A, Popham F . Natural Experiments: An Overview of Methods, Approaches, and Contributions to Public Health Intervention Research. Annu Rev Public Health. 2017; 38:39-56. PMC: 6485604. DOI: 10.1146/annurev-publhealth-031816-044327. View

12.

Rowland T . The biological basis of physical activity. Med Sci Sports Exerc. 1998; 30(3):392-9. DOI: 10.1097/00005768-199803000-00009. View

13.

Lohne-Seiler H, Hansen B, Kolle E, Anderssen S . Accelerometer-determined physical activity and self-reported health in a population of older adults (65-85 years): a cross-sectional study. BMC Public Health. 2014; 14:284. PMC: 3984636. DOI: 10.1186/1471-2458-14-284. View

14.

Trost S, McIver K, Pate R . Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc. 2005; 37(11 Suppl):S531-43. DOI: 10.1249/01.mss.0000185657.86065.98. View

15.

Sun G, Zhao J, Webster C, Lin H . New metro system and active travel: A natural experiment. Environ Int. 2020; 138:105605. DOI: 10.1016/j.envint.2020.105605. View

16.

Choe E, Du Y, Sun G . Decline in older adults' daily mobility during the COVID-19 pandemic: the role of individual and built environment factors. BMC Public Health. 2022; 22(1):2317. PMC: 9742036. DOI: 10.1186/s12889-022-14780-8. View

17.

MacDonald J, Stokes R, Cohen D, Kofner A, Ridgeway G . The effect of light rail transit on body mass index and physical activity. Am J Prev Med. 2010; 39(2):105-12. PMC: 2919301. DOI: 10.1016/j.amepre.2010.03.016. View

18.

Laverty A, Webb E, Vamos E, Millett C . Associations of increases in public transport use with physical activity and adiposity in older adults. Int J Behav Nutr Phys Act. 2018; 15(1):31. PMC: 5879764. DOI: 10.1186/s12966-018-0660-x. View

19.

Huang R, Moudon A, Zhou C, Stewart O, Saelens B . Light Rail Leads to More Walking Around Station Areas. J Transp Health. 2017; 6:201-208. PMC: 5722455. DOI: 10.1016/j.jth.2017.02.002. View

20.

Cerin E, Barnett A, Cheung M, Sit C H, Macfarlane D, Chan W . Reliability and validity of the IPAQ-L in a sample of Hong Kong urban older adults: does neighborhood of residence matter?. J Aging Phys Act. 2011; 20(4):402-20. DOI: 10.1123/japa.20.4.402. View