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Open Access 01-12-2016 | Research article

The contribution of travel-related urban zones, cycling and pedestrian networks and green space to commuting physical activity among adults – a cross-sectional population-based study using geographical information systems

Authors: Tomi E. Mäki-Opas, Katja Borodulin, Heli Valkeinen, Sari Stenholm, Anton E. Kunst, Thomas Abel, Tommi Härkänen, Leena Kopperoinen, Pekka Itkonen, Ritva Prättälä, Sakari Karvonen, Seppo Koskinen

Published in: BMC Public Health | Issue 1/2016

Abstract

Background

The current political agenda aims to promote active environments and physical activity while commuting to work, but research on it has provided mixed results. This study examines whether the proximity of green space and people’s residence in different travel-related urban zones contributes to commuting physical activity.

Methods

Population-based cross-sectional health examination survey, Health 2011 study, and geographical information system (GIS) data were utilized. The GIS data on green space and travel-related urban zones were linked to the individuals of the Health 2011 study, based on their home geocoordinates. Commuting physical activity was self-reported. Logistic regression models were applied, and age, gender, education, leisure-time and occupational physical activity were adjusted. Analyses were limited to those of working age, living in the core-urban areas of Finland and having completed information on commuting physical activity (n = 2 098).

Results

Home location in a pedestrian zone of a main centre (odds ratio = 1.63; 95 % confidence interval = 1.06–2.51) or a pedestrian zone of a sub-centre (2.03; 1.09–3.80) and higher proportion of cycling and pedestrian networks (3.28; 1.71–6.31) contributed to higher levels of commuting physical activity. The contribution remained after adjusting for all the environmental attributes and individuals. Based on interaction analyses, women living in a public transport zone were almost two times more likely to be physically active while commuting compared to men. A high proportion of recreational green space contributed negatively to the levels of commuting physical activity (0.73; 0.57–0.94) after adjusting for several background factors. Based on interaction analyses, individuals aged from 44 to 54 years and living in sub-centres, men living in pedestrian zones of sub-centres, and those individuals who are physically inactive during leisure-time were less likely to be physically active while commuting.

Conclusions

Good pedestrian and cycling infrastructure may play an important role in promoting commuting physical activity among the employed population, regardless of educational background, leisure-time and occupational physical activity. Close proximity to green space and a high proportion of green space near the home may not be sufficient to initiate commuting physical activity in Finland, where homes surrounded by green areas are often situated in car-oriented zones far from work places.

Fraser SD, Lock K. Cycling for transport and public health: a systematic review of the effect of the environment on cycling. Eur J Public Health. 2011;21(6):738–43. doi:10.1093/eurpub/ckq145.CrossRefPubMed

WHO. Physical activity promotion in socially disadvatanged groups: principles for action. PHAN Work Package 4. Final report. 2013. http://www.euro.who.int/en/health-topics/environment-and-health/Transport-and-health/publications/2013/physical-activity-promotion-in-socially-disadvantaged-groups-principles-for-action.-policy-summary. Accessed 24 Apr 2016.

Bouchard C, Blair SN, Haskell WL. Why Study Physical Activity and Health? In: Bouchard C, Blair SN, Haskell WL, editors. Physical Activity and Health. Stanningley: Human Kinetics Inc.; 2006. p. 3–19.

Caspersen CJ. Physical activity epidemiology: concepts, methods, and applications to exercise science. Exerc Sport Sci Rev. 1989;17:423–73.PubMed

Abraham A, Sommerhalder K, Abel T. Landscape and well-being: a scoping study on the health-promoting impact of outdoor environments. Int J Public Health. 2010;55(1):59–69. doi:10.1007/s00038-009-0069-z.CrossRefPubMed

Bauman AE, Reis RS, Sallis JF, Wells JC, Loos RJ, Martin BW. Correlates of physical activity: why are some people physically active and others not? Lancet. 2012;380(9838):258–71. doi:10.1016/S0140-6736(12)60735-1.CrossRefPubMed

Mäkinen T, Borodulin K, Laatikainen T, Fogelholm M, Prättälä R. Twenty-five year socioeconomic trends in leisure-time and commuting physical activity among employed Finns. Scand J Med Sci Sports. 2009;19(2):188–97. doi:10.1111/j.1600-0838.2007.00739.x.CrossRefPubMed

Helldán A, Helakorpi S, Virtanen S, Uutela A. Health Behaviour and Health among the Finnish Adult Population, Spring 2013 (English abstract). Helsinki: National Institute for Health and Welfare (THL); 2013.

Finnish Transport Agency. National Travel Survey 2010-2011. (English summary). 2012. http://www2.liikennevirasto.fi/julkaisut/pdf3/lr_2012_henkiloliikennetutkimus_web.pdf. Accessed 16 Jan 2015.

10.

Ristimäki M, Söderström P, K O, Kalenoja H. Travel Related Urban Zones in Finland. Finnish Environment Institute (SYKE). 2013. http://www.syke.fi/download/noname/%7BEC19D027-53D7-41A5-8087-AF190F5F2038%7D/94027. Accessed 8 Aug 2014.

11.

Findicator. Average commuting distance 1990–2010. Finnish Environment Institute (SYKE). 2012. http://www.findikaattori.fi/en/70.

12.

Putkuri E, Lindholm M, Peltonen A. Ympäristön tila Suomessa 2013. In: SYKEn julkaisuja 2013. 2013. syke.fi/julkaisut ja ymparisto.fi/ymparistontila2013. Accessed 7 Aug 2014.

13.

Prince S, Kristjansson E, Russell K, Billette J-M, Sawada M, Ali A, et al. A Multilevel Analysis of Neighbourhood Built and Social Environments and Adult Self-Reported Physical Activity and Body Mass Index in Ottawa, Canada. Int J Environ Res Public Health. 2011;10:3953.

14.

Jack E, McCormack GR. The associations between objectively-determined and self-reported urban form characteristics and neighborhood-based walking in adults. Int J Behav Nutr Phys Act. 2014;11:71. doi:10.1186/1479-5868-11-71.CrossRefPubMedPubMedCentral

15.

Astell-Burt T, Feng X, Kolt GS. Green space is associated with walking and moderate-to-vigorous physical activity (MVPA) in middle-to-older-aged adults: findings from 203 883 Australians in the 45 and Up Study. Br J Sports Med. 2014;48(5):404–6. doi:10.1136/bjsports-2012-092006.CrossRefPubMed

16.

Chaix B, Simon C, Charreire H, Thomas F, Kestens Y, Karusisi N, et al. The environmental correlates of overall and neighborhood based recreational walking (a cross-sectional analysis of the RECORD Study). Int J Behav Nutr Phys Act. 2014;11(1):20. doi:10.1186/1479-5868-11-20.CrossRefPubMedPubMedCentral

17.

Ord K, Mitchell R, Pearce J. Is level of neighbourhood green space associated with physical activity in green space? Int J Behav Nutr Phys Act. 2013;10:127. doi:10.1186/1479-5868-10-127.CrossRefPubMedPubMedCentral

18.

Charreire H, Weber C, Chaix B, Salze P, Casey R, Banos A, et al. Identifying built environmental patterns using cluster analysis and GIS: Relationships with walking, cycling and body mass index in French adults. Int J Behav Nutr Phys Act. 2012;9:59. doi:10.1186/1479-5868-9-59.CrossRefPubMedPubMedCentral

19.

Ogilvie D, Mitchell R, Mutrie N, Petticrew M, Platt S. Shoe leather epidemiology: active travel and transport infrastructure in the urban landscape. Int J Behav Nutr Phys Act. 2010;7:43. doi:10.1186/1479-5868-7-43.CrossRefPubMedPubMedCentral

20.

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.CrossRefPubMedPubMedCentral

21.

Richardson EA, Mitchell R, Hartig T, de Vries S, Astell-Burt T, Frumkin H. Green cities and health: a question of scale? J Epidemiol Community Health. 2012;66(2):160.CrossRefPubMed

22.

Witten K, Blakely T, Bagheri N, Badland H, Ivory V, Pearce J, et al. Neighborhood Built Environment and Transport and Leisure Physical Activity: Findings Using Objective Exposure and Outcome Measures in New Zealand. Environ Health Perspect. 2012;7:971. doi:10.2307/41548778.CrossRef

23.

Turrell G, Haynes M, Wilson LA, Giles-Corti B. Can the built environment reduce health inequalities? A study of neighbourhood socioeconomic disadvantage and walking for transport. Health Place. 2013;19:89–98. doi:10.1016/j.healthplace.2012.10.008.CrossRefPubMed

24.

Goodman A, Sahlqvist S, Ogilvie D. Who uses new walking and cycling infrastructure and how? Longitudinal results from the UK iConnect study. Prev Med. 2013;57(5):518–24. doi:10.1016/j.ypmed.2013.07.007.CrossRefPubMedPubMedCentral

25.

Solomon E, Rees T, Ukoumunne OC, Metcalf B, Hillsdon M. Personal, social, and environmental correlates of physical activity in adults living in rural south-west England: a cross-sectional analysis. Int J Behav Nutr Phys Act. 2013;10:129. doi:10.1186/1479-5868-10-129.CrossRefPubMedPubMedCentral

26.

Goodman A, Sahlqvist S, Ogilvie D. New Walking and Cycling Routes and Increased Physical Activity: One- and 2-Year Findings From the UK iConnect Study. Am J Public Health. 2014;104(9):e38–46. doi:10.2105/ajph.2014.302059.CrossRefPubMedPubMedCentral

27.

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;12:807. doi:10.1186/1471-2458-12-807.CrossRefPubMedPubMedCentral

28.

Lindstrom M. Social capital, desire to increase physical activity and leisure-time physical activity: a population-based study. Public health. 2011;125(7):442–7. doi:10.1016/j.puhe.2011.01.015.CrossRefPubMed

29.

Nieminen T, Prättälä R, Martelin T, Härkänen T, Hyyppä MT, Alanen E, et al. Social capital, health behaviours and health: a population-based associational study. BMC Public Health. 2013;13:613. doi:10.1186/1471-2458-13-613.CrossRefPubMedPubMedCentral

30.

Mäkinen T, Kestilä L, Borodulin K, Martelin T, Rahkonen O, Leino-Arjas P, et al. Occupational class differences in leisure-time physical inactivity- contribution of past and current physical workload and other working conditions. Scand J Work Environ Health. 2010;36(1):62–70.CrossRefPubMed

31.

Beenackers MA, Kamphuis CB, Mackenbach JP, Burdorf A, van Lenthe FJ. Why some walk and others don’t: exploring interactions of perceived safety and social neighborhood factors with psychosocial cognitions. Health Educ Res. 2013;28(2):220–33. doi:10.1093/her/cyt002.CrossRefPubMed

32.

Koskinen S, Lundqvist A, Ristiluoma n, editors. Terveys, toimintakyky ja hyvinvointi Suomessa 2011 (English Abstract). Raportti 68/2012. Helsinki: Terveyden ja hyvinvoinnin laitos (THL); 2012.

33.

Heistaro S. Methodology report. Health 2000 Survey. In: Publications of the National Public Health Institute B26/2008. Hakapaino Oy, Helsinki. 2008. http://www.terveys2000.fi/doc/methodologyrep.pdf. Accessed 13 Oct 2009.

34.

Barengo NC, Kastarinen M, Lakka T, Nissinen A, Tuomilehto J. Different forms of physical activity and cardiovascular risk factors among 24-64-year-old men and women in Finland. Eur J Cardiovasc Prev Rehabil. 2006;13(1):51–9.PubMed

35.

Hu G, Jousilahti P, Antikainen R, Tuomilehto J. Occupational, commuting, and leisure-time physical activity in relation to cardiovascular mortality among finnish subjects with hypertension. Am J Hypertens. 2007;20(12):1242–50. doi:10.1016/j.amjhyper.2007.07.015.CrossRefPubMed

36.

Kopperoinen L, Eerola K, Shemeikka P, Väre S, Söderman T, Saarela S-R. Kriteereitä ja mittareita kestävien kaupunkiseutujen suunnittelun työvälineiksi – paikkatietomenetelmien kuvaukset (Criteria and indicators for planning of sustainable urban regions – description of GIS-methods). Helsinki. 2012.

37.

Söderman T, Kopperoinen L, Yli-Pelkonen V, Shemeikka P. Ecosystem services criteria for sustainable development in urban regions. J Environ Assess Policy Manag. 2012;14(2):1250008–1–48. doi:10.1142/S1464333212500081.CrossRef

38.

Pouta E, Heikkilä M. Virkistysalueiden suunnittelu ja hoito. Ympäristöministeriö: Helsinki; 1998.

39.

ESRI. ArcGIS with spatial analyst extension. 1999–2012. www.esri.com. Accessed 22 Apr 2014.

40.

Ristimäki M, Kalenoja H, Tiitu M. Travel-related zones of urban form – zone criteria, urban form statistical profiles, and travel habits (in Finnish). Helsinki. 2011.

41.

Finnish Transport Agency. Digiroad 2014. 2014. http://www.digiroad.fi/en_GB/. Accessed 21 Oct 2015.

42.

Lehtonen R, Pahkinen E. Practical Methods for Design and Analysis of Complex Surveys. (349 pages including WEB extension). 2nd ed. Chichester: Wiley; 2004.

43.

Robins JM, Rotnitzky A, Zhao LP. Estimation of regression coefficients when some regressors are not always observed. J Am Stat Assoc. 1994;89(427):846–66.CrossRef

44.

Statacorp. STATA 11.2 Statistics/Data Analysis., Texas, USA. 1985–2009. www.stata.com. Accessed 08 Aug 2013.

45.

Borodulin K, Sipila N, Rahkonen O, Leino-Arjas P, Kestila L, Jousilahti P, et al. Socio-demographic and behavioral variation in barriers to leisure-time physical activity. Scand J Public Health. 2016;44(1):62–9. doi:10.1177/1403494815604080.CrossRefPubMed

46.

Prins RG, Mohnen SM, van Lenthe FJ, Brug J, Oenema A. Are neighbourhood social capital and availability of sports facilities related to sports participation among Dutch adolescents? Int J Behav Nutr Phys Act. 2012;9:90. doi:10.1186/1479-5868-9-90.CrossRefPubMedPubMedCentral

47.

van Lenthe FJ, Brug J, Mackenbach JP. Neighbourhood inequalities in physical inactivity: the role of neighbourhood attractiveness, proximity to local facilities and safety in the Netherlands. Social science & medicine (1982). 2005;60(4):763–75. doi:10.1016/j.socscimed.2004.06.013.CrossRef

48.

Borodulin K, Harald K, Jousilahti P, Laatikainen T, Mannisto S, Vartiainen E. Time trends in physical activity from 1982 to 2012 in Finland. Scand J Med Sci Sports. 2015. doi:10.1111/sms.12401.PubMed

49.

Borodulin K, Zimmer C, Sippola R, Makinen TE, Laatikainen T, Prattala R. Health behaviours as mediating pathways between socioeconomic position and body mass index. Int J Behav Med. 2012;19(1):14–22. doi:10.1007/s12529-010-9138-1.CrossRefPubMed

50.

Laaksonen M, Prättälä R, Lahelma E. Sociodemographic determinants of multiple unhealthy behaviours. Scand J Public Health. 2003;31(1):37–43.CrossRefPubMed

51.

Mäkinen TE, Sippola R, Borodulin K, Rahkonen O, Kunst A, Klumbiene J, et al. Explaining educational differences in leisure-time physical activity in Europe: the contribution of work-related factors. Scand J Med Sci Sports. 2010. doi:10.1111/j.1600-0838.2010.01234.x [doi].

52.

Härkänen T, Karvanen J, Tolonen H, Lehtonen R, Djerf K, T. J, et al. Systematic handling of missing data in complex study designs - experiences from the Health 2000 and 2011 Surveys. J Appl Stat. 2016; Published online 18 Feb 2016. doi:10.1080/02664763.2016.1144725.

53.

Sallis JF, Conway TL, Dillon LI, Frank LD, Adams MA, Cain KL, et al. Environmental and demographic correlates of bicycling. Prev Med. 2013;57(5):456–60. doi:10.1016/j.ypmed.2013.06.014.CrossRefPubMedPubMedCentral

54.

Sallis JF, Owen N. Measuring Physical Activity. In: Sallis JF, Owen N, editors. Physical Activity & Behavioral Medicine. Thousand Oaks, London: SAGE Publications; 1999. p. 71–92.

55.

Slootmaker SM, Schuit AJ, Chinapaw MJ, Seidell JC, van Mechelen W. Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and weight status. Int J Behav Nutr Phys Act. 2009;6:17. doi:10.1186/1479-5868-6-17.CrossRefPubMedPubMedCentral

56.

Sabia S, van Hees VT, Shipley MJ e. Association between questionnaire- and accelerometer-assessed physical activity: the role of sociodemographic factors. Am J Epidemiol. 2014;179:781–90.CrossRefPubMedPubMedCentral

Title: The contribution of travel-related urban zones, cycling and pedestrian networks and green space to commuting physical activity among adults – a cross-sectional population-based study using geographical information systems
Authors: Tomi E. Mäki-Opas
Katja Borodulin
Heli Valkeinen
Sari Stenholm
Anton E. Kunst
Thomas Abel
Tommi Härkänen
Leena Kopperoinen
Pekka Itkonen
Ritva Prättälä
Sakari Karvonen
Seppo Koskinen
Publication date: 01-12-2016
Publisher: BioMed Central
Published in: BMC Public Health / Issue 1/2016
Electronic ISSN: 1471-2458
DOI: https://doi.org/10.1186/s12889-016-3264-x

Keynote webinar | Spotlight on medication adherence

Springer Medicine

The contribution of travel-related urban zones, cycling and pedestrian networks and green space to commuting physical activity among adults – a cross-sectional population-based study using geographical information systems

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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