Multi-use physical activity trails in an urban setting and cardiovascular disease: a difference-in-differences analysis of a natural experiment in Winnipeg, Manitoba, Canada

Jonathan McGavock, Erin Hobin, Heather J Prior, Anders Swanson, Brendan T Smith, Gillian L Booth, Kelly Russell, Laura Rosella, Wanrudee Isaranuwatchai, Stephanie Whitehouse, Nicole Brunton, Charles Burchill, Jonathan McGavock, Erin Hobin, Heather J Prior, Anders Swanson, Brendan T Smith, Gillian L Booth, Kelly Russell, Laura Rosella, Wanrudee Isaranuwatchai, Stephanie Whitehouse, Nicole Brunton, Charles Burchill

Abstract

Objective: To determine if expansion of multi-use physical activity trails in an urban centre is associated with reduced rates of cardiovascular disease (CVD).

Methods: This was a natural experiment with a difference in differences analysis using administrative health records and trail-based cycling data in Winnipeg, Canada. Prior to the intervention, each year, 314,595 (IQR: 309,044 to 319,860) persons over 30 years without CVD were in the comparison group and 37,901 residents (IQR: 37,213 to 38,488) were in the intervention group. Following the intervention, each year, 303,853 (IQR: 302,843 to 304,465) persons were in the comparison group and 35,778 (IQR: 35,551 to 36,053) in the intervention group. The natural experiment was the construction of four multi-use trails, 4-7 km in length, between 2010 and 2012. Intervention and comparison areas were based on buffers of 400 m, 800 m and 1200 m from a new multi-use trail. Bicycle counts were obtained from electromagnetic counters embedded in the trail. The primary outcome was a composite of incident CVD events: CVD-related mortality, ischemic heart disease, cerebrovascular events and congestive heart failure. The secondary outcome was a composite of incident CVD risk factors: hypertension, diabetes and dyslipidemia.

Results: Between 2014 and 2018, 1,681,125 cyclists were recorded on the trails, which varied ~ 2.0-fold across the four trails (2358 vs 4264 counts/week in summer months). Between 2000 and 2018, there were 82,632 CVD events and 201,058 CVD risk events. In propensity score matched Poisson regression models, the incident rate ratio (IRR) was 1.06 (95% CI: 0.90 to 1.24) for CVD events and 0.95 (95%CI: 0.88 to 1.02) for CVD risk factors for areas within 400 m of a trail, relative to comparison areas. Sensitivity analyses indicated this effect was greatest among households adjacent to the trail with highest cycling counts (IRR = 0.85; 95% CI: 0.75 to 0.96).

Conclusions: The addition of multi-use trails was not associated with differences in CVD events or CVD risk factors, however the differences in CVD risk may depend on the level of trail use.

Trial registration: Trial registration number: NCT04057417 .

Keywords: Active transportation; Build environment; Cycling; Exercise; Hypertension; Ischemic heart disease.

Conflict of interest statement

The authors declare that they have no competing interests to declare.

© 2022. The Author(s).

Figures

Fig. 1
Fig. 1
Location of multi-use trails within the City of Winnipeg. Legend: Dark lines represent actual trails and light coloured areas represent 400 m buffer for each trail. Red lines represent major roads. Orange lines represent minor roads. Green areas represent parks/greenspace
Fig. 2
Fig. 2
Trail use following construction of multi-use trails. A-D. Weekly unidirectional cycling counts over 5 years for each of the four trails studied; E – Trail counts in summer and winter months for each trail. Bars = mean, error bars = 95% confident intervals
Fig. 3
Fig. 3
Crude quarterly incident rates for the composite measures of Cardiovascular Disease (CVD) Events and Risk Factors over time for intervention and comparison areas
Fig. 4
Fig. 4
Difference-in-differences for CVD events and CVD Risk Factors across different intervention buffers
Fig. 5
Fig. 5
Difference-in-differences for CVD events and CVD Risk Factors by trail. Legend: Numbers in brackets beside each trail reflect mean weekly cyclist counts during the summer months

References

    1. Sallis JF, Cerin E, Conway TL, Adams MA, Frank LD, Pratt M, et al. Physical activity in relation to urban environments in 14 cities worldwide: a cross-sectional study. Lancet. 2016;387(10034):2207–2217. doi: 10.1016/S0140-6736(15)01284-2.
    1. Young DR, Cradock AL, Eyler AA, Fenton M, Pedroso M, Sallis JF, et al. Creating built environments that expand active transportation and active living across the United States: a policy statement from the American Heart Association. Circulation. 2020;142(11):e167–ee83. doi: 10.1161/CIR.0000000000000878.
    1. Creatore MI, Glazier RH, Moineddin R, Fazli GS, Johns A, Gozdyra P, et al. Association of Neighborhood Walkability with Change in overweight, obesity, and diabetes. JAMA. 2016;315(20):2211–20. doi: 10.1001/jama.2016.5898.
    1. Dalton AM, Jones AP. Residential neighbourhood greenspace is associated with reduced risk of cardiovascular disease: a prospective cohort study. PLoS One. 2020;15(1):e0226524. doi: 10.1371/journal.pone.0226524.
    1. Giles-Corti B, Vernez-Moudon A, Reis R, Turrell G, Dannenberg AL, Badland H, et al. City planning and population health: a global challenge. Lancet. 2016;388(10062):2912–2924. doi: 10.1016/S0140-6736(16)30066-6.
    1. Sallis JF, Cerin E, Kerr J, Adams MA, Sugiyama T, Christiansen LB, et al. Built environment, physical activity, and obesity: findings from the international physical activity and environment network (IPEN) adult study. Annu Rev Public Health. 2020;41:119–139. doi: 10.1146/annurev-publhealth-040218-043657.
    1. Frank LD, Kavage S, Devlin A. Health and the built environment: a review. 2012.
    1. McCormack GR, Shiell A. In search of causality: a systematic review of the relationship between the built environment and physical activity among adults. Int J Behav Nutr Phys Act. 2011;8:125. doi: 10.1186/1479-5868-8-125.
    1. Ferdinand AO, Sen B, Rahurkar S, Engler S, Menachemi N. The relationship between built environments and physical activity: a systematic review. Am J Public Health. 2012;102(10):e7–e13. doi: 10.2105/AJPH.2012.300740.
    1. Institute of Medicine. Bringing Public Health into Urban Revitalization: Workshop Summary. The National Academies Collection: Reports funded by National Institutes of Health. Washington (DC): National Academies Press (US); 2015.
    1. Gascon M, Vrijheid M, Nieuwenhuijsen MJ. The built environment and child health: an overview of current evidence. Curr Environ Health Rep. 2016;3(3):250–257. doi: 10.1007/s40572-016-0094-z.
    1. Howell NA, Tu JV, Moineddin R, Chu A, Booth GL. Association between neighborhood walkability and predicted 10-year cardiovascular disease risk: the CANHEART (cardiovascular health in ambulatory care research team) cohort. J Am Heart Assoc. 2019;8(21):e013146. doi: 10.1161/JAHA.119.013146.
    1. Unger E, Diez-Roux AV, Lloyd-Jones DM, Mujahid MS, Nettleton JA, Bertoni A, et al. Association of neighborhood characteristics with cardiovascular health in the multi-ethnic study of atherosclerosis. Circ Cardiovasc Qual Outcomes. 2014;7(4):524–531. doi: 10.1161/CIRCOUTCOMES.113.000698.
    1. Ermagun AL, Lindsey G, Loh TH. Urban trails and demand response to weather variations. Transp Res Part D Transp Environ. 2018;63:404–420. doi: 10.1016/j.trd.2018.05.016.
    1. Hirsch JA, Meyer KA, Peterson M, Zhang L, Rodriguez DA, Gordon-Larsen P. Municipal investment in off-road trails and changes in bicycle commuting in Minneapolis, Minnesota over 10 years: a longitudinal repeated cross-sectional study. Int J Behav Nutr Phys Act. 2017;14(1):21. doi: 10.1186/s12966-017-0475-1.
    1. Ludwig J, Sanbonmatsu L, Gennetian L, Adam E, Duncan GJ, Katz LF, et al. Neighborhoods, obesity, and diabetes--a randomized social experiment. N Engl J Med. 2011;365(16):1509–1519. doi: 10.1056/NEJMsa1103216.
    1. Craig P, Katikireddi SV, 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. doi: 10.1146/annurev-publhealth-031816-044327.
    1. Benton JS, Anderson J, Hunter RF, French DP. The effect of changing the built environment on physical activity: a quantitative review of the risk of bias in natural experiments. Int J Behav Nutr Phys Act. 2016;13(1):107. doi: 10.1186/s12966-016-0433-3.
    1. Mayne SL, Auchincloss AH, Michael YL. Impact of policy and built environment changes on obesity-related outcomes: a systematic review of naturally occurring experiments. Obes Rev. 2015;16(5):362–375. doi: 10.1111/obr.12269.
    1. MacMillan F, George ES, Feng X, Merom D, Bennie A, Cook A, et al. Do natural experiments of changes in neighborhood built environment impact physical activity and diet? A systematic review. Int J Environ Res Public Health. 2018;15(2):217. doi: 10.3390/ijerph15020217.
    1. Hobin E, Swanson A, Booth G, Russell K, Rosella LC, Smith BT, et al. Physical activity trails in an urban setting and cardiovascular disease morbidity and mortality in Winnipeg, Manitoba, Canada: a study protocol for a natural experiment. BMJ Open. 2020;10(2):e036602. doi: 10.1136/bmjopen-2019-036602.
    1. Wing C, Simon K, Bello-Gomez RA. 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.
    1. Fransoo R, Martens P, Prior H, Burchill C, Koseva I, Bailly A. The 2013 RHA health indicators atlas. University of Manitoba; 2013.
    1. Lix LM, Yogendran MS, Shaw SY, Burchill C, Metge C, Bond R. Population-based data sources for chronic disease surveillance. Chronic Dis Can. 2008;29(1):31–38. doi: 10.24095/hpcdp.29.1.04.
    1. Marrie RA, Fisk J, Tremlett H, Wolfson C, Warren S, Blanchard J, et al. Differing trends in the incidence of vascular comorbidity in MS and the general population. Neurol Clin Pract. 2016;6(2):120–128. doi: 10.1212/CPJ.0000000000000230.
    1. Hurvitz PM, Moudon AV. Home versus nonhome neighborhood: quantifying differences in exposure to the built environment. Am J Prev Med. 2012;42(4):411–417. doi: 10.1016/j.amepre.2011.11.015.
    1. James P, Berrigan D, Hart JE, Hipp JA, Hoehner CM, Kerr J, et al. Effects of buffer size and shape on associations between the built environment and energy balance. Health Place. 2014;27:162–170. doi: 10.1016/j.healthplace.2014.02.003.
    1. Lix LM, Kuwornu JP, Kroeker K, Kephart G, Sikdar KC, Smith M, et al. Estimating the completeness of physician billing claims for diabetes case ascertainment using population-based prescription drug data. Health Promot Chronic Dis Prev Can. 2016;36(3):54–60. doi: 10.24095/hpcdp.36.3.02.
    1. Chateau D, Metge C, Prior H, Soodeen RA. Learning from the census: the socio-economic factor index (SEFI) and health outcomes in Manitoba. Can J Public Health. 2012;103(8 Suppl 2):S23–S27. doi: 10.1007/BF03403825.
    1. Brook JR, Setton EM, Seed E, Shooshtari M, Doiron D, Consortium CTCUEHR The Canadian urban environmental Health Research consortium - a protocol for building a national environmental exposure data platform for integrated analyses of urban form and health. BMC Public Health. 2018;18(1):114. doi: 10.1186/s12889-017-5001-5.
    1. Colley RC, Christidis T, Michaud I, Tjepkema M, Ross NA. The association between walkable neighbourhoods and physical activity across the lifespan. Health Rep. 2019;30(9):3–13.
    1. Lindsey GPM, Hankey S. In: The Minnesota Bicycle and Pedestrian Counting Initiative: Implementation Study. Management MDoT-OoTS, editor. St. Paul: University of Minnesota; 2015.
    1. Budowski A. Developing expansion factors to estimate cyclist seasonal average daily traffic in Winnipeg, MB. Winnipeg: University of Manitoba; 2015.
    1. Amatya A, Bhaumik D, Gibbons RD. Sample size determination for clustered count data. Stat Med. 2013;32(24):4162–4179. doi: 10.1002/sim.5819.
    1. Donner A, Klar N. Design and analysis of cluster randomization trials in Health Research. London: Arnold; 2000.
    1. Grunseit A, Crane M, Klarenaar P, Noyes J, Merom D. Closing the loop: short term impacts on physical activity of the completion of a loop trail in Sydney, Australia. Int J Behav Nutr Phys Act. 2019;16(1):57. doi: 10.1186/s12966-019-0815-4.
    1. Fitzhugh EC, Bassett DR, Jr, Evans MF. Urban trails and physical activity: a natural experiment. Am J Prev Med. 2010;39(3):259–262. doi: 10.1016/j.amepre.2010.05.010.
    1. Clark S, Bungum T, Shan G, Meacham M, Coker L. The effect of a trail use intervention on urban trail use in southern Nevada. Prev Med. 2014;67(Suppl 1):S17–S20. doi: 10.1016/j.ypmed.2014.04.027.
    1. Ermagun ALG, Haddeh LT. Urban trails and demand response to weather conditions. Transp Res Part D Transp Environ. 2018;63:404–420. doi: 10.1016/j.trd.2018.05.016.
    1. Ermagun ALG, Haddeh LT. Bicycle, pedestrian, and mixed-mode trail traffic: a performance assessment of demand models. Landsc Urban Plan. 2018;177:92–102. doi: 10.1016/j.landurbplan.2018.05.006.

Source: PubMed

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