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Associations Between the Neighborhood Environment and Moderate-to-Vigorous Walking in New Zealand Children: Findings from the URBAN Study

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Abstract

Background

Urban design may affect children’s habitual physical activity by influencing active commuting and neighborhood play.

Purpose

Our objective was to examine associations between neighborhood built-environment features near children’s homes and objectively measured physical activity.

Methods

We used geographical information system (GIS) protocols to select 2016 households from 48 low- and high-walkability neighborhoods within four New Zealand cities. Children (n = 227; mean age ± standard deviation [SD] 9.3 ± 2.1 years) from the selected households wore accelerometers that recorded physical activity in the period 2008–2010. We used multilevel linear models to examine the associations of GIS and street-audit measures, using the systematic pedestrian and cycling environmental scan (SPACES), of the residential environment (ranked into tertiles) on children’s hourly step counts and proportions of time spent at moderate-to-vigorous intensity on school and non-school days.

Results

During school-travel times (8:00–8:59 a.m. and 15:00–15:59 p.m.), children in the mid-tertile distance from school (~1 to 2 km) were more active than children with shorter or longer commute distances (1290 vs. 1130 and 1140 steps·h−1; true between-child SD 440). After school (16:00–17:59 p.m.), children residing closest to school were more active (890 vs. 800 and 790 steps·h−1; SD 310). Neighborhoods with more green space, attractive streets, or low-walkability streets showed a moderate positive association on non-school day moderate-to-vigorous steps, whereas neighborhoods with additional pedestrian infrastructure or more food outlets showed moderate negative associations. Other associations of residential neighborhoods were unclear but, at most, small.

Conclusions

Designing the urban environment to promote safe child-pedestrian roaming may increase children’s moderate-to-vigorous physical activity.

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Fig. 1

Reproduced from Pikora et al. [30], with permission

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References

  1. Van Holle V, Deforche B, Van Cauwenberg J, Goubert L, Maes L, Van de Weghe N, et al. Relationship between the physical environment and different domains of physical activity in European adults: a systematic review. BMC Public Health. 2012;12(1):807.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Wang Y, Chau C, Ng W, Leung T. A review on the effects of physical built environment attributes on enhancing walking and cycling activity levels within residential neighborhoods. Cities. 2016;50:1–15.

    Article  CAS  Google Scholar 

  3. Saelens BE, Handy SL. Built environment correlates of walking: a review. Med Sci Sports Exerc. 2008;40(7 Suppl):S550.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Giles-Corti B, Timperio A, Bull F, Pikora T. Understanding physical activity environmental correlates: increased specificity for ecological models. Exerc Sport Sci Rev. 2005;33(4):175–81.

    Article  PubMed  Google Scholar 

  5. 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):e7–13.

    Article  PubMed  Google Scholar 

  6. World Health Organization. Global recommendations on physical activity for health. Geneva: World Health Organization; 2010.

    Google Scholar 

  7. Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380:247–57.

    Article  PubMed  Google Scholar 

  8. Sallis JF, Cervero RB, Ascher W, Henderson KA, Kraft MK, Kerr J. An ecological approach to creating active living communities. Annu Rev Public Health. 2006;27:297–322.

    Article  PubMed  Google Scholar 

  9. Duranceau A, Bergeron P. Built environment and physical activity among young people. Québec: Institut national de santé publique du Québec; 2013.

    Google Scholar 

  10. Sallis JF, Floyd MF, Rodríguez DA, Saelens BE. Role of built environments in physical activity, obesity, and cardiovascular disease. Circulation. 2012;125(5):729–37.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Roberts I, Carlin J, Bennett C, Bergstrom E, Guyer B, Nolan T, et al. An international study of the exposure of children to traffic. Inj Prev. 1997;3(2):89–93.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Posner JC, Liao E, Winston FK, Cnaan A, Shaw K, Durbin DR. Exposure to traffic among urban children injured as pedestrians. Inj Prev. 2002;8(3):231–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Shepherd M, Austin P, Chambers J. Driveway runover, the influence of the built environment: a case control study. J Paediatr Child Health. 2010;46(12):760–7.

    Article  PubMed  Google Scholar 

  14. Faulkner G, Mitra R, Buliung R, Fusco C, Stone M. Children’s outdoor playtime, physical activity, and parental perceptions of the neighbourhood environment. Int J Play. 2015;4(1):84–97.

    Article  Google Scholar 

  15. Gielen AC, DeFrancesco S, Bishai D, Mahoney P, Ho S, Guyer B. Child pedestrians: the role of parental beliefs and practices in promoting safe walking in urban neighborhoods. J Urban Health. 2004;81(4):545–55.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Carver A, Timperio A, Hesketh K, Crawford D. Are children and adolescents less active if parents restrict their physical activity and active transport due to perceived risk? Soc Sci Med. 2010;70(11):1799–805.

    Article  PubMed  Google Scholar 

  17. Tremblay MS, Gray C, Babcock S, Barnes J, Bradstreet CC, Carr D, et al. Position statement on active outdoor play. Int J Env Res Public Health. 2015;12(6):6475–505.

    Article  Google Scholar 

  18. Carver A, Timperio A, Hesketh K, Crawford D. Are children and adolescents less active if parents restrict their physical activity and active transport due to perceived risk? Soc Sci Med. 2010;70(11):1799–805.

    Article  PubMed  Google Scholar 

  19. Corder K, Sallis JF, Crespo NC, Elder JP. Active children use more locations for physical activity. Health Place. 2011;17(4):911–9.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Wheeler BW, Cooper AR, Page AS, Jago R. Greenspace and children’s physical activity: a GPS/GIS analysis of the PEACH project. Prev Med. 2010;51(2):148–52.

    Article  PubMed  Google Scholar 

  21. Cooper AR, Page AS, Wheeler BW, Griew P, Davis L, Hillsdon M, et al. Mapping the walk to school using accelerometry combined with a global positioning system. Am J Prev Med. 2010;38(2):178–83.

    Article  PubMed  Google Scholar 

  22. Hinckson EA, McGrath L, Hopkins W, Oliver M, Badland H, Mavoa S, et al. Distance to school is associated with sedentary time in children: findings from the URBAN study. Child Health Hum D. 2014. doi:10.3389/fpubh.2014.00151.

    Google Scholar 

  23. Jones AP, Coombes EG, Griffin SJ, van Sluijs EM. Environmental supportiveness for physical activity in English schoolchildren: a study using global positioning systems. Int J Behav Nutr Phys Act. 2009;6(1):42.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Roemmich JN, Epstein LH, Raja S, Yin L. The neighborhood and home environments: disparate relationships with physical activity and sedentary behaviors in youth. Ann Behav Med. 2007;33(1):29–38.

    Article  PubMed  Google Scholar 

  25. McGrath LJ, Hopkins WG, Hinckson EA. Associations of objectively measured built-environment attributes with youth moderate–vigorous physical activity: a systematic review and meta-analysis. Sports Med. 2015;45:841–65.

    Article  PubMed  Google Scholar 

  26. Ding D, Sallis JF, Kerr J, Lee S, Rosenberg DE. Neighborhood environment and physical activity among youth: a review. Am J Prev Med. 2011;41(4):442–55.

    Article  PubMed  Google Scholar 

  27. Boarnet MG, Anderson CL, Day K, McMillan T, Alfonzo M. Evaluation of the California safe routes to school legislation: urban form changes and children’s active transportation to school. Am J Prev Med. 2005;28(2S2):134–40.

    Article  PubMed  Google Scholar 

  28. Braza M, Shoemaker W, Seeley A. Neighborhood design and rates of walking and biking to elementary school in 34 California communities. Am J Health Promot. 2004;19(2):128–36.

    Article  PubMed  Google Scholar 

  29. Pikora T, Bull F, Jamrozik K, Knuiman M, Giles-Corti B, Donovan R. Developing a reliable audit instrument to measure the physical environment for physical activity. Am J Prev Med. 2002;23(3):187–94.

    Article  PubMed  Google Scholar 

  30. Pikora T, Giles-Corti B, Bull F, Jamrozik K, Donovan R. Developing a framework for assessment of walking and cycling. Soc Sci Med. 2003;56:1693–703.

    Article  PubMed  Google Scholar 

  31. Cooper AR, Page AS, Wheeler BW, Hillsdon M, Griew P, Jago R. Research patterns of GPS measured time outdoors after school and objective physical activity in English children: the PEACH project. Int J Behav Nutr Phys Act. 2010;7:31–9.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Cooper A, Andersen LB, Wedderkopp N, Page AS, Froberg K. Physical activity levels of children who walk, cycle, or are driven to school. Am J Prev Med. 2005;29(3):179–84.

    Article  PubMed  Google Scholar 

  33. Atkin AJ, Gorely T, Biddle S, Marshall SJ, Cameron N. Critical hours: physical activity and sedentary behavior of adolescents after school. Pediatr Exerc Sci. 2008;20(4):446–56.

    PubMed  Google Scholar 

  34. Badland HM, Schofield GM, Witten K, Schluter PJ, Mavoa S, Kearns RA, et al. Understanding the Relationship between Activity and Neighbourhoods (URBAN) Study: research design and methodology. BMC Public Health. 2009;9:224.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Mavoa S, Witten K, Pearce J, Day P. Measuring neighbourhood walkability in New Zealand cities. Auckland: Massey University; 2009.

    Google Scholar 

  36. Craig E, Taufa S, Jackson C, Yeo Han D. The health of pacific children and young people in New Zealand. Auckland: Ministry of Health; 2008.

  37. Hopkins WG. Estimating sample size for magnitude-based inferences. Sportscience. 2006;10(1):63–70.

    Google Scholar 

  38. Mavoa S, Witten K, Pearce J, Day P. Measuring neighbourhood walkability in New Zealand cities; 2009.

  39. Witten K, Pearce J, Day P. Neighbourhood Destination Accessibility Index: a GIS tool for measuring infrastructure support for neighbourhood physical activity. Environ Plann A. 2011;43(1):205.

    Article  Google Scholar 

  40. D’Souza E, Forsyth A, Koepp J, Oakes J, Schmitz K, Zimmerman J. Twin cities walking study. Environment and physical activity: GIS protocols, Version 3.1. Minneapolis: Metropolitan Design Center, University of Minnesota; 2006.

  41. Frank LD, Saelens BE, Powell KE, Chapman JE. Stepping towards causation: do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity? Soc Sci Med. 2007;65(9):1898–914.

    Article  PubMed  Google Scholar 

  42. Janz KF, Rao S, Baumann HJ, Schultz JL. Measuring children’s vertical ground reaction forces with accelerometry during walking, running, and jumping: the Iowa Bone Development Study. Pediatr Exerc Sci. 2003;15(1):34–43.

    Google Scholar 

  43. Brage S, Wedderkopp N, Franks PW, Andersen LB, Froberg K. Reexamination of validity and reliability of the CSA monitor in walking and running. Med Sci Sports Exerc. 2003;35(8):1447–54.

    Article  PubMed  Google Scholar 

  44. Puyau MR, Adolph AL, Vohra FA, Zakeri I, Butte NF. Prediction of activity energy expenditure using accelerometers in children. Med Sci Sports Exerc. 2004;36(9):1625–31.

    PubMed  Google Scholar 

  45. Pfeiffer KA, McIver KL, Dowda M, Almeida MJ, Pate RR. Validation and calibration of the Actical accelerometer in preschool children. Med Sci Sports Exerc. 2006;38(1):152–7.

    Article  PubMed  Google Scholar 

  46. Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci. 2008;26(14):1557–65.

    Article  PubMed  Google Scholar 

  47. Colley RC, Tremblay MS. Moderate and vigorous physical activity intensity cut-points for the Actical accelerometer. J Sports Sci. 2011;29(8):783–9.

    Article  PubMed  Google Scholar 

  48. Colley R, Gorber SC, Tremblay MS. Quality control and data reduction procedures for accelerometry-derived measures of physical activity. Health Rep. 2010;21(1):63–9.

    PubMed  Google Scholar 

  49. Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41(1):3–13.

    Article  PubMed  Google Scholar 

  50. Statistics NZ. Census of population and dwellings: Auckland City. What we look like locally. Wellington: Statistics New Zealand; 2006.

    Google Scholar 

  51. Brockman R, Jago R, Fox KR. The contribution of active play to the physical activity of primary school children. Prev Med. 2010;51(2):144–7.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Jones AP, Coombes EG, Griffin SJ, van Sluijs EM. Environmental supportiveness for physical activity in English schoolchildren: a study using global positioning systems. Int J Behav Nutr Phys Act. 2009;6:42.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Rodriguez DA, Aytur S, Forsyth A, Oakes JM, Clifton KJ. Relation of modifiable neighborhood attributes to walking. Prev Med. 2008;47(3):260–4.

    Article  PubMed  Google Scholar 

  54. Van Dyck D, Cardon G, Deforche B, De Bourdeaudhuij I. Lower neighbourhood walkability and longer distance to school are related to physical activity in Belgian adolescents. Prev Med. 2009;48(6):516–8.

    Article  PubMed  Google Scholar 

  55. Rainham DG, Bates CJ, Blanchard CM, Dummer TJ, Kirk SF, Shearer CL. Spatial classification of youth physical activity patterns. Am J Prev Med. 2012;42(5):e87–96.

    Article  PubMed  Google Scholar 

  56. Patnode CD, Lytle LA, Erickson DJ, Sirard JR, Barr-Anderson D, Story M. The relative influence of demographic, individual, social, and environmental factors on physical activity among boys and girls. Int J Behav Nutr Phys Act. 2010;7:79.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Badland H, Donovan P, Mavoa S, Oliver M, Chaudhury M, Witten K. Assessing neighbourhood destination access for children: development of the NDAI-C audit tool. Environ Plan B Plan Des. 2015;42:1148–60.

    Google Scholar 

  58. Oreskovic NM, Blossom J, Field AE, Chiang SR, Winickoff JP, Kleinman RE. Combining global positioning system and accelerometer data to determine the locations of physical activity in children. Geospat Health. 2012;6(2):263–72.

    Article  PubMed  Google Scholar 

  59. Lachowycz K, Jones AP, Page AS, Wheeler BW, Cooper AR. What can global positioning systems tell us about the contribution of different types of urban greenspace to children’s physical activity? Health Place. 2012;18(3):586–94.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Carver A, Timperio AF, Crawford DA. Neighborhood road environments and physical activity among youth: the CLAN study. J Urban Health. 2008;85(4):532–44.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Jago R, Baranowski T, Zakeri I, Harris M. Observed environmental features and the physical activity of adolescent males. Am J Prev Med. 2005;29(2):98–104.

    Article  PubMed  Google Scholar 

  62. Petch RO, Henson RR. Child road safety in the urban environment. J Transp Geogr. 2000;8:197–211.

    Article  Google Scholar 

  63. Tester JM, Rutherford GW, Wald Z, Rutherford MW. A matched case-control study evaluating the effectiveness of speed humps in reducing child pedestrian injuries. Am J Public Health. 2004;94(4):646–50.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Villanueva K, Giles-Corti B, Bulsara M, McCormack GR, Timperio A, Middleton N, et al. How far do children travel from their homes? Exploring children’s activity spaces in their neighborhood. Health Place. 2012;18(2):263–73.

    Article  PubMed  Google Scholar 

  65. Purcell C, Wann JP, Wilmut K, Poulter D. Reduced looming sensitivity in primary school children with developmental co-ordination disorder. Dev Sci. 2012;15(3):299–306.

    Article  PubMed  Google Scholar 

  66. MOT. Yearly Report 2011 Motor vehicle crashes in New Zealand 2010. Statistical Statement: Research Statistics Ministry of Transport; 2011.

  67. Abley S, Chou M, Douglas M. National travel profiling part A: description of daily travel patterns. NZ Transport Agency Research Report; 2008.

  68. Rodriguez DA, Cho GH, Evenson KR, Conway TL, Cohen D, Ghosh-Dastidar B, et al. Out and about: association of the built environment with physical activity behaviors of adolescent females. Health Place. 2012;18(1):55–62.

    Article  PubMed  Google Scholar 

  69. Karkee GJ, Nambisan SS, Pulugurtha SS. Motorist actions at a crosswalk with an in-pavement flashing light system. Traffic Inj Prev. 2010;11(6):642–9.

    Article  PubMed  Google Scholar 

  70. Mackie H. Improving school travel systems. NZ Transport Agency Research Report; 2010.

  71. Dunton GF, Intille SS, Wolch J, Pentz MA. Investigating the impact of a smart growth community on the contexts of children’s physical activity using Ecological Momentary Assessment. Health Place. 2012;18(1):76–84.

    Article  PubMed  Google Scholar 

  72. Badland H, Donovan P, Mavoa S, Oliver M, Chaudhury M, Witten K. Assessing neighbourhood destination access for children: development of the NDAI-C audit tool. Environ Plan. 2015;42(6):1148–60.

    Google Scholar 

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Acknowledgments

This work was funded by the Health Research Council (HRC) of New Zealand (Grant Numbers: 07/356 and 08/048). Leslie J Mc Grath received a 3-year PhD scholarship of $NZ25,000 p.a., funded by the HRC of New Zealand (Grant Number: 07/356). The funding bodies were not involved in the design, conduct, data collection, management, or publication of the study. The authors also gratefully acknowledge the participants who completed the study, research assistants who collected the data, and the territorial authorities for providing the GIS datasets.

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Correspondence to Erica A. Hinckson.

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Leslie J Mc Grath, Erica A. Hinckson, Will G. Hopkins, Suzanne Mavoa, Karen Witten, and Grant Schofield declare that they have no conflict of interest.

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‘Designing environments to enhance physical and psychological benefits of physical activity: A multi-disciplinary perspective’ (Collection Editors: Eric Brymer, Keith Davids).

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McGrath, L.J., Hinckson, E.A., Hopkins, W.G. et al. Associations Between the Neighborhood Environment and Moderate-to-Vigorous Walking in New Zealand Children: Findings from the URBAN Study. Sports Med 46, 1003–1017 (2016). https://doi.org/10.1007/s40279-016-0533-x

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